242 posts tagged with "Ethereum"

Transaction fees on Ethereum Layer 2 networks have collapsed to as low as $0.001—a triumph for users, but an existential crisis for the blockchains themselves. As Base, Arbitrum, and Optimism race toward near-zero costs, the fundamental question haunting every L2 operator becomes unavoidable: how do you sustain a billion-dollar infrastructure when your primary revenue stream is approaching zero?

In 2026, this isn't theoretical anymore. It's the new economic reality reshaping Ethereum's scaling landscape.

The Fee Collapse: Victory Turned Crisis​

Layer 2 solutions were built to solve Ethereum's scalability problem—and by that measure, they've succeeded spectacularly. Transaction fees on leading L2s now range between $0.001 and $0.01, representing a 90-99% reduction compared to Ethereum mainnet. During peak congestion, when an Ethereum transaction might cost $50, Base or Arbitrum can execute the same operation for fractions of a penny.

But success has created an unexpected dilemma. The very achievement that makes L2s attractive to users—ultra-low fees—threatens their long-term viability as businesses.

The numbers tell the story. In the last six months of 2025, the top 10 Ethereum L2s generated $232 million in revenue from user transaction fees. While impressive in absolute terms, this figure masks growing pressure as blob-based data availability introduced by EIP-4844 squeezed rollup fees by 50-90% in many cases. When blob utilization remains low—as it has in early 2026—the marginal cost of posting data approaches zero, eliminating one of the few remaining justifications for charging users premium fees.

Arbitrum's Foundation reported gross margins topping 90% across four revenue streams in Q4 2025, with annualized profits around $26 million. But this performance came before the full impact of competing L2s, declining blob prices, and user expectations for ever-cheaper transactions. The margin compression is already visible: on Base, priority fees alone constitute approximately 86.1% of total daily sequencer revenue, averaging just $156,138 per day—hardly enough to justify billion-dollar valuations or sustain long-term infrastructure development.

The crisis intensifies when you consider the competitive dynamics. With over 60 Ethereum L2s now live and more launching monthly, the market resembles a race to the bottom. Any L2 that tries to maintain higher fees risks losing users to cheaper alternatives. Yet if everyone races to zero, nobody survives.

MEV: From Villain to Revenue Lifeline​

Maximal Extractable Value (MEV)—once crypto's most controversial topic—is rapidly becoming L2s' most promising revenue source as transaction fees evaporate.

MEV represents the profit that can be extracted by reordering, inserting, or censoring transactions within a block. On Ethereum mainnet, block builders and validators have long captured billions in MEV through sophisticated strategies like sandwich attacks, arbitrage, and liquidations. Now, L2 sequencers are learning to tap the same revenue stream—but with more control and less controversy.

Timeboost: Arbitrum's MEV Auction​

Arbitrum's Timeboost mechanism, launched in late 2025, represents the first major attempt to monetize MEV systematically on an L2. The system introduces a transparent auction for transaction ordering rights, allowing sophisticated traders to bid for the privilege of having their transactions included ahead of others.

In its first seven months, Timeboost generated over $5 million in revenue—a modest sum, but a proof of concept that sequencer-level MEV capture can work. Unlike opaque MEV extraction on mainnet, Timeboost returns this value to the protocol itself, rather than letting it leak to third-party searchers or remain hidden from users.

The model shifts the sequencer from mere transaction processor to "neutral auctioneer." Instead of the sequencer extracting MEV directly (which creates centralization concerns), it creates a competitive marketplace where MEV searchers bid against each other, with the protocol capturing the surplus.

Proposer-Builder Separation on L2s​

The architecture gaining the most attention for sustainable MEV capture is Proposer-Builder Separation (PBS), originally developed for Ethereum mainnet but now being adapted for L2s.

In PBS models, the sequencer's role splits into two functions:

• Builders construct blocks with optimized transaction ordering to maximize MEV capture
• Proposers (sequencers) select the most profitable block from among competing builders' proposals

This separation transforms the economics fundamentally. Rather than sequencers needing sophisticated MEV extraction capabilities in-house, they simply auction off the right to build blocks to specialized entities. The sequencer captures revenue through competitive block-building bids, while builders compete on their ability to extract MEV efficiently.

On Base and Optimism, cyclic arbitrage contracts already account for over 50% of on-chain gas consumption in Q1 2025. These "optimistic MEV" transactions represent economic activity that will continue regardless of user transaction fees—and L2s are learning to capture a share of that value.

Enshrined PBS (ePBS)—where PBS is built directly into the protocol rather than operated by third parties—offers even more potential. By embedding MEV capture mechanisms at the protocol level, L2s can guarantee that extracted value flows back to token holders, network participants, or public goods funding rather than leaking to external actors.

The challenge lies in implementation. Unlike Ethereum mainnet, where PBS has matured over years, L2s face design constraints around centralized sequencers, fast block times, and the need to maintain compatibility with existing infrastructure. But as Arbitrum's margins show 90%+ profitability even with minimal MEV capture, the revenue potential is impossible to ignore.

Data Availability: The Hidden Revenue Stream​

While much attention focuses on user-facing transaction fees, the economics of data availability (DA) have quietly become one of the most important competitive factors shaping L2 sustainability.

EIP-4844's introduction of "blobs"—dedicated data structures for rollup data—fundamentally altered L2 cost structures. Before blobs, L2s paid to post transaction data as calldata on Ethereum mainnet, with costs that could spike during network congestion. After EIP-4844, blob-based DA reduced posting costs by orders of magnitude: from roughly $3.83 per megabyte down to pennies in many cases.

This cost reduction is why L2 fees could collapse so dramatically. But it also revealed a critical dependency: L2s now rely on Ethereum's blob pricing mechanism, over which they have no control.

Celestia and Alternative DA Markets​

The emergence of dedicated DA layers like Celestia has introduced competition—and optionality—into L2 economics. Celestia charges approximately $0.07 per megabyte for data availability, roughly 55 times cheaper than Ethereum's blob pricing at comparable periods. For cost-conscious L2s, especially those processing high transaction volumes, this price differential is impossible to ignore.

By early 2026, Celestia had processed over 160 GB of rollup data, commanded roughly 50% market share in the non-Ethereum DA sector, and seen its daily blob fees grow 10x since late 2024. The platform's success demonstrates that DA is not just a cost center but a potential revenue stream for platforms that can offer competitive pricing, reliability, and integration simplicity.

The DA Fragmentation Question​

Yet Ethereum remains the "premium" option. Despite higher costs, Ethereum's blob DA offers unmatched security guarantees—data availability is secured by the same consensus mechanism protecting trillions in value. For high-value L2s serving financial applications, institutional users, or large enterprises, paying a premium for Ethereum DA represents insurance against catastrophic data loss or availability failures.

This creates a two-tier market:

• High-value L2s (Base, Arbitrum One, Optimism) continue using Ethereum DA, treating the cost as a necessary security expense
• Cost-sensitive L2s (gaming chains, experimental networks, high-throughput applications) increasingly adopt alternative DA layers like Celestia, EigenDA, or even centralized solutions

For L2s themselves, the strategic question becomes whether to remain pure Ethereum rollups or accept "validium" or hybrid models that sacrifice some security for dramatic cost reductions. The economics increasingly favor hybridization—but the brand and security implications remain contested.

Interestingly, some L2s are beginning to explore offering DA services themselves. If an L2 achieves sufficient scale and decentralization, it could theoretically provide data availability to other, smaller chains—creating a new revenue stream while strengthening its position in the ecosystem hierarchy.

Enterprise Licensing: The B2B Revenue Play​

While retail users obsess over transaction costs measured in fractions of pennies, the enterprise rollup phenomenon is quietly building a completely different business model—one where fees barely matter.

The year 2025 marked the emergence of "enterprise rollups": L2 infrastructure deployed by major institutions not primarily for retail users, but for controlled business environments. Kraken launched INK, Uniswap deployed UniChain, Sony introduced Soneium for gaming and media, and Robinhood integrated Arbitrum infrastructure to settle brokerage transactions.

These enterprises aren't launching L2s to compete for retail market share measured in transaction volume. They're deploying blockchain infrastructure to solve specific business problems: compliance management, settlement finality, interoperability with decentralized ecosystems, and customer experience differentiation.

The Enterprise Value Proposition​

For Robinhood, an L2 enables 24/7 stock trading and instant settlement—features impossible in traditional markets bound by business hours and T+2 settlement cycles. For Sony, blockchain-based gaming and media distribution unlocks new revenue models, cross-game asset interoperability, and community governance mechanisms that Web2 infrastructure cannot support.

Transaction fees in these contexts become largely irrelevant. Whether a trade costs $0.001 or $0.01 matters little when the alternative is multi-day settlement delays or the impossibility of certain transactions entirely.

The revenue model shifts from "fees per transaction" to "platform fees, licensing, and value-added services":

• Launch and Deployment Fees: Charges for spinning up customized L2 infrastructure, often ranging from hundreds of thousands to millions of dollars
• Managed Services: Ongoing operational support, upgrades, monitoring, and compliance assistance
• Governance and Permissions Management: Tools for enterprises to control who can interact with their chains, implement KYC/AML requirements, and maintain regulatory compliance
• Privacy and Confidentiality Features: ZKsync's Prividium framework, for example, offers enterprise-grade privacy layers that financial institutions require for sensitive transaction data

Optimism pioneered one such model with its Superchain architecture, which charges participants 2.5% of total sequencer revenue or 15% of sequencer profits to join the network of interoperable OP Stack chains. This isn't a user-facing fee—it's a B2B revenue share arrangement between Optimism and institutions deploying their own chains using OP Stack technology.

Private vs. Public L2 Economics​

The enterprise model also introduces a fundamental fork in L2 architecture: public versus private (or permissioned) chains.

Public L2s offer immediate access to existing users, liquidity, and shared infrastructure—essentially plugging into the Ethereum DeFi ecosystem. These chains rely on transaction volume and must compete on fees.

Private L2s allow institutions to control participants, data handling, and governance while still anchoring settlement to Ethereum for finality and security. These chains can charge entirely differently: access fees, SLA guarantees, white-glove service, and integration support rather than per-transaction costs.

The emerging consensus suggests that L2 providers will operate like cloud infrastructure companies. Just as AWS charges for compute, storage, and bandwidth with premium tiers for enterprise SLAs and support, L2 operators will monetize through service tiers, not transaction fees.

This model requires scale, reputation, and trust—attributes that favor established players like Optimism, Arbitrum, and emerging giants like Base. Smaller L2s without brand recognition or enterprise relationships will struggle to compete in this market.

The Technical Architecture of Sustainability​

Surviving the fee apocalypse requires more than clever business models—it demands architectural innovation that fundamentally changes how L2s operate and capture value.

Decentralizing the Sequencer​

Most L2s today rely on centralized sequencers: single entities responsible for ordering transactions and producing blocks. While this architecture enables fast finality and simple operations, it creates a single point of failure, regulatory exposure, and limits on MEV capture strategies.

Decentralized sequencers represent one of 2026's most important technical transitions. By distributing sequencing across multiple operators, L2s can:

• Enable staking mechanisms where sequencer operators must lock tokens, creating new token utility and potential revenue from slashing penalties
• Implement fair ordering and MEV mitigation strategies that credibly commit to user protection
• Reduce regulatory risks by eliminating single responsible entities
• Create opportunities for "sequencer-as-a-service" markets where participants bid for sequencing rights

The challenge lies in maintaining L2s' speed advantage while decentralizing. Networks like Arbitrum and Optimism have announced plans for decentralized sequencer sets, but implementation has proven complex. Fast block times (some L2s target 2-second finality) become harder to maintain with distributed consensus.

Yet the economic incentives are clear: decentralized sequencers unlock staking yields, validator networks, and MEV marketplaces—all potential revenue streams unavailable to centralized operators.

Shared Sequencing and Cross-L2 Liquidity​

Another emerging model is "shared sequencing," where multiple L2s coordinate through a common sequencing layer. This architecture enables atomic cross-L2 transactions, unified liquidity pools, and MEV capture across chains rather than within individual silos.

Shared sequencers could monetize through:

• Fees charged to L2s for inclusion in the shared sequencing service
• Captured MEV from cross-chain arbitrage and liquidations
• Priority ordering auctions across multiple chains simultaneously

Projects like Espresso Systems, Astria, and others are building shared sequencing infrastructure, though adoption remains early-stage. The economic model assumes that L2s will pay for sequencing services rather than operating their own, creating a new infrastructure market.

Modular Data Availability​

As discussed earlier, DA represents both a cost and potential revenue center. The modular blockchain thesis—where execution, consensus, and data availability separate into specialized layers—creates markets at each layer.

L2s optimizing for sustainability will increasingly mix and match DA solutions:

• High-security transactions use Ethereum DA
• High-volume, lower-value transactions use cheaper alternatives like Celestia or EigenDA
• Extremely high-throughput use cases might employ centralized DA with fraud proofs or validity proofs for security

This "data availability routing" requires sophisticated infrastructure to manage, creating opportunities for middleware providers who can optimize DA selection dynamically based on cost, security requirements, and network conditions.

What Comes Next: Three Possible Futures​

The L2 revenue crisis will resolve into one of three equilibria over the next 12-18 months:

Future 1: The Great Consolidation

Most L2s fail to achieve sufficient scale, and the market consolidates around 5-10 dominant chains backed by major institutions. Base (Coinbase), Arbitrum, Optimism, and a few specialized chains capture 90%+ of activity. These survivors monetize through enterprise relationships, MEV capture, and platform fees while maintaining token value through buybacks funded by diversified revenue.

Smaller L2s either shut down or become app-specific chains serving narrow use cases, abandoning general-purpose ambitions.

Future 2: The Service Layer

L2 operators pivot to infrastructure-as-a-service business models, earning revenue by selling sequencing, DA, and settlement services to other chains. The OP Stack, Arbitrum Orbit, zkSync's ZK Stack, and similar frameworks become the AWS/Azure/GCP of blockchain, with transaction fees representing a minor fraction of total revenue.

In this future, operating public L2s becomes a loss leader for selling enterprise infrastructure.

Future 3: The MEV Market

PBS and sophisticated MEV capture mechanisms mature to the point where L2s effectively become marketplaces for blockspace and transaction ordering rather than transaction processors. Revenue flows primarily from searchers, builders, and sophisticated market makers rather than end users.

Retail users enjoy free transactions subsidized by MEV capture from professional trading activity. L2 tokens gain value as governance over MEV redistribution mechanisms.

Each path remains plausible, and different L2s may pursue different strategies. But the status quo—relying primarily on user transaction fees—is already obsolete.

The Road Ahead​

The $0.001 fee crisis forces a long-overdue reckoning: blockchain infrastructure, like cloud computing before it, cannot survive on razor-thin transaction margins at scale. The winners will be those who recognize this reality first and build revenue models that transcend the per-transaction paradigm.

For users, this transition is overwhelmingly positive. Near-free transactions unlock applications impossible at higher fee levels: micro-payments, on-chain gaming, high-frequency trading, and IoT settlements. The infrastructure crisis is a crisis for blockchain operators, not blockchain users.

For L2 operators, the challenge is existential but solvable. MEV capture, enterprise licensing, data availability markets, and infrastructure-as-a-service models offer paths to sustainability. The question is whether L2 teams can execute the transition before their runways expire or their communities lose confidence.

And for Ethereum itself, the L2 revenue crisis represents validation of its rollup-centric roadmap. The ecosystem is scaling exactly as planned—transaction costs are approaching zero, throughput is skyrocketing, and the security of mainnet remains uncompromised. The economic pain is a feature, not a bug: a market-driven forcing function that will separate sustainable infrastructure from speculative experiments.

The fee war is over. The revenue war has just begun.

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Sources:

• Layer 2 Adoption 2026 Predictions: What Will Shape Ethereum's Next Scaling Wave
• Ethereum's Layer 2 Paradox: Lower Fees, Bigger Questions for ETH Valuation
• VanEck's Ethereum Layer-2s Valuation Prediction by 2030
• Arbitrum (ARB) Deep Due Diligence Investment Report 2025
• 2026 Layer 2 Outlook | The Block
• Celestia's Competitive Edge in Data Availability: A Deep Dive
• Enterprise Rollups: The New Era of Ethereum Scaling
• How to Implement a Sequencer MEV Mitigation Strategy
• PBS Unpacked #2: How PBS is Expanding Across L2s

Overview​

Digital asset treasuries (DATs) are publicly listed corporations whose primary business model is to accumulate and manage crypto‑tokens such as ETH or SOL. They raise capital through stock offerings or convertible bonds and use the proceeds to purchase tokens, stake them to earn yield, and grow tokens per share via savvy financial engineering. DATs blend features of corporate treasuries, investment trusts and DeFi protocols; they let mainstream investors gain exposure to crypto without holding the coins directly and operate like “on‑chain banks.” The following sections synthesise the visions of four influential leaders—Tom Lee (Fundstrat/BitMine), Joseph Lubin (Consensys/SharpLink), Sam Tabar (Bit Digital) and Cosmo Jiang (Pantera Capital)—who are shaping this emerging sector.

Tom Lee – Fundstrat Co‑founder & BitMine Chairman​

Long‑term thesis: Ethereum as the neutral chain for the AI–crypto super‑cycle​

• In 2025 Tom Lee pivoted the former Bitcoin miner BitMine into an Ethereum treasury company. He argues that AI and crypto are the two major investment narratives of the decade and both require neutral public blockchains, with Ethereum offering high reliability and a decentralised settlement layer. Lee describes ETH’s current price as a “discount to the future”—he believes that the combination of institutional finance and artificial intelligence will eventually need Ethereum’s neutral public blockchain to operate at scale, making ETH “one of the biggest macro trades of the next decade”.
• Lee believes tokenised real‑world assets, stablecoins and on‑chain AI will drive unprecedented demand for Ethereum. In a Daily Hodl interview he said ETH treasuries added over 234 k ETH in one week, pushing BitMine’s holdings above 2 million ETH. He explained that Wall Street and AI moving on‑chain will transform the financial system and most of this will happen on Ethereum, hence BitMine aims to acquire 5 % of ETH’s total supply, dubbed the “alchemy of 5 %”. He also expects ETH to remain the preferred chain because of pro‑crypto legislation (e.g., CLARITY & GENIUS Acts) and described Ethereum as the “neutral chain” favoured by both Wall Street and the White House.

DAT mechanics: building shareholder value​

• In Pantera’s 2025 blockchain letter, Lee explained how DATs can create value beyond token price appreciation. By issuing stock or convertible bonds to raise capital, staking their ETH, using DeFi to earn yield and acquiring other treasuries, they can increase tokens per share and maintain a NAV premium. He views stablecoins as the “ChatGPT story of crypto” and believes on‑chain cash flows from stablecoin transactions will support ETH treasuries.
• Lee emphasises that DATs have multiple levers that make them more attractive than ETFs: staking yields, velocity (rapid issuance of shares to acquire tokens) and liquidity (ability to raise capital quickly). In a Bankless discussion he noted that BitMine moved 12 × faster than MicroStrategy in accumulating crypto and described BitMine’s liquidity advantage as critical for capturing a NAV premium.
• He also stresses risk management. Market participants must differentiate between credible leaders and those issuing aggressive debt; investors should focus on execution, clear strategy and risk controls. Lee warns that mNAV premiums compress as more companies adopt the model and that DATs need to deliver performance beyond simply holding tokens.

Vision for the future​

Lee predicts a long super‑cycle in which Ethereum underpins tokenised AI economies and digital asset treasuries become mainstream. He foresees ETH reaching US $10–12 k in the near term and much higher over a 10–15 year time horizon. He also notes that major institutions like Cathie Wood and Bill Miller are already investing in DATs and expects more Wall Street firms to view ETH treasuries as a core holding.

Joseph Lubin – Consensys Founder & SharpLink Chairman​

ETH treasuries as storytelling and yield machines​

• Lubin argues that Ethereum treasury companies are more powerful than Bitcoin treasuries because ETH is productive. By staking tokens and using DeFi, treasuries can generate yield and grow ETH per share, making them “more powerful than Bitcoin treasuries”. SharpLink converts capital into ETH daily and stakes it immediately, creating compounding growth.
• He sees DATs as a way to tell the Ethereum story to Wall Street. On CNBC he explained that Wall Street pays attention to making money; by offering a profitable equity vehicle, DATs can communicate ETH’s value better than simple messaging about smart contracts. While Bitcoin’s narrative is easy to grasp (digital gold), Ethereum spent years building infrastructure—treasury strategies highlight its productivity and yield.
• Lubin stresses that ETH is high‑powered, uncensorable money. In an August 2025 interview he said SharpLink’s goal is to build the largest trusted ETH treasury and keep accumulating ETH, with one million ETH merely a near‑term signpost. He calls Ethereum the base layer for global finance, citing that it settled over US $25 trillion in transactions in 2024 and hosts most real‑world assets and stablecoins.

Competitive landscape and regulation​

• Lubin welcomes new entrants into the ETH treasury race because they amplify Ethereum’s credibility; however, he believes SharpLink holds an advantage due to its ETH‑native team, staking know‑how and institutional credibility. He predicts ETFs will eventually be allowed to stake, but until then treasury companies like SharpLink can fully stake ETH and earn yield.
• In a CryptoSlate interview he noted that the supply–demand imbalance for ETH and daily purchases by treasuries will accelerate adoption. He emphasised that decentralisation is the direction of travel and expects both ETH and BTC to continue rising as the world becomes more decentralised.

SharpLink’s execution​

• SharpLink quietly shifted its focus from sports betting technology to Ethereum in early 2025. According to shareholder filings, it converted significant portions of its liquid reserves into ETH—176 270 ETH for $462.9 million in July 2025 and another 77 210 ETH for $295 million a day later. An August 2025 direct offering raised $400 million and a $200 million at‑the‑market facility, pushing SharpLink’s reserves beyond 598 800 ETH.
• Lubin says SharpLink accumulates tens of millions of dollars in ETH daily and stakes it via DeFi to generate yield. Standard Chartered analysts have noted that ETH treasuries like SharpLink remain undervalued relative to their holdings.

Sam Tabar – CEO of Bit Digital​

Rationale for pivoting to Ethereum​

• After profitably running a Bitcoin mining and AI infrastructure business, Sam Tabar led Bit Digital’s complete pivot into an Ethereum treasury and staking company. He sees Ethereum’s programmable smart‑contract platform, growing adoption and staking yields as capable of rewriting the financial system. Tabar asserts that if BTC and ETH had launched simultaneously, Bitcoin might not exist because Ethereum enables trustless value exchange and complex financial primitives.
• Bit Digital sold 280 BTC and raised around $172 million to purchase over 100 k ETH. Tabar has emphasised that Ethereum is no longer a side asset but the centerpiece of Bit Digital’s balance sheet and that the firm intends to continue acquiring ETH to become the leading corporate holder. The company announced a direct offering of 22 million shares priced at $3.06 to raise $67.3 million for further ETH purchases.

Financing strategy and risk management​

• Tabar is a strong proponent of using unsecured convertible debt rather than secured loans. He warns that secured debt could “destroy” ETH treasury companies in a bear market because creditors might seize the tokens when prices fall. By issuing unsecured convertible notes, Bit Digital retains flexibility and avoids encumbering its assets.
• In a Bankless interview he compared the ETH treasury race to Michael Saylor’s Bitcoin playbook but noted that Bit Digital is a real business with cash flows from AI infrastructure and mining; it aims to leverage those profits to grow its ETH holdings. He described competition among ETH treasuries as friendly but emphasised that mindshare is limited—companies must aggressively accumulate ETH to attract investors, yet more treasuries ultimately benefit Ethereum by raising its price and awareness.

Vision for the future​

Tabar envisions a world where Ethereum replaces much of the existing financial infrastructure. He believes regulatory clarity (e.g., the GENIUS Act) has unlocked the path for companies like Bit Digital to build compliant ETH treasuries and sees the staking yield and programmability of ETH as core drivers of future value. He also highlights that DATs open the door for public‑market investors who cannot buy crypto directly, democratizing access to the Ethereum ecosystem.

Cosmo Jiang – General Partner at Pantera Capital​

Investment thesis: DATs as on‑chain banks​

• Cosmo Jiang views DATs as sophisticated financial institutions that operate more like banks than passive token holders. In an Index Podcast summary he explained that DATs are evaluated like banks: if they generate a return above their cost of capital, they trade above book value. According to Jiang, investors should focus on NAV‑per‑share growth—analogous to free cash‑flow per share—rather than token price, because execution and capital allocation drive returns.
• Jiang argues that DATs can generate yield by staking and lending, increasing asset value per share and producing more tokens than simply holding spot. One determinant of success is the long‑term strength of the underlying token; this is why Pantera’s Solana Company (HSDT) uses Solana as its treasury reserve. He contends that Solana offers fast settlement, ultra‑low fees and a monolithic design that is faster, cheaper and more accessible—echoing Jeff Bezos’s “holy trinity” of consumer wants.
• Jiang also notes that DATs effectively lock up supply because they operate like closed‑end funds; once tokens are acquired, they rarely sell, reducing liquid supply and potentially supporting prices. He sees DATs as a bridge that brings tens of billions of dollars from traditional investors who prefer equities over direct crypto exposure.

Building the pre‑eminent Solana treasury​

• Pantera has been a pioneer in DATs, anchoring early launches such as DeFi Development Corp (DFDV) and Cantor Equity Partners (CEP) and investing in BitMine. Jiang writes that they have reviewed over fifty DAT pitches and that their early success has positioned Pantera as a first call for new projects.
• In September 2025 Pantera announced Solana Company (HSDT) with more than $500 million in funding, designed to maximize SOL per share and provide public‑market exposure to Solana. Jiang’s DAT thesis states that owning a DAT could offer higher return potential than holding tokens directly or via an ETF because DATs grow NAV per share through yield generation. The fund aims to scale institutional access to Solana and leverage Pantera’s track record to build the pre‑eminent Solana treasury.
• He emphasises that the timing is critical: digital asset equities have enjoyed a tailwind as investors search for crypto exposure beyond ETFs. However, he warns that excitement will invite competition; some DATs will succeed while others fail. Pantera’s strategy is to back high‑quality teams, filter for incentive‑aligned management and support consolidation (M&A or buybacks) in downside scenarios.

Conclusion​

Collectively, these leaders see digital asset treasuries as a bridge between traditional finance and the emerging token economy. Tom Lee envisions ETH treasuries as vehicles to capture the AI–crypto super‑cycle and aims to accumulate 5 % of Ethereum’s supply; he stresses velocity, yield and liquidity as key drivers of NAV premiums. Joseph Lubin views ETH treasuries as yield‑generating machines that tell the Ethereum story to Wall Street while pushing DeFi and staking into mainstream finance. Sam Tabar is betting that Ethereum’s programmability and staking yields will rewrite financial infrastructure and warns against secured debt, promoting aggressive yet prudent accumulation through unsecured financing. Cosmo Jiang frames DATs as on‑chain banks whose success depends on capital allocation and NAV‑per‑share growth; he is building the pre‑eminent Solana treasury to showcase how DATs can unlock new growth cycles. All four anticipate that DATs will continue to proliferate and that public‑market investors will increasingly choose them as vehicles for exposure to crypto’s next chapter.

The Blockchain Application Stanford Summit (BASS) kicked off the week of the Science of Blockchain Conference (SBC), bringing together innovators, researchers, and builders to explore the cutting edge of the ecosystem. Organizers Gil, Kung, and Stephen welcomed attendees, highlighting the event's focus on entrepreneurship and real-world applications, a spirit born from its close collaboration with SBC. With support from organizations like Blockchain Builders and the Cryptography and Blockchain Alumni of Stanford, the day was packed with deep dives into celestial blockchains, the future of Ethereum, institutional DeFi, and the burgeoning intersection of AI and crypto.

Dalia Maliki: Building an Orbital Root of Trust with Space Computer​

Dalia Maliki, a professor at UC Santa Barbara and an advisor to Space Computer, opened with a look at a truly out-of-this-world application: building a secure computing platform in orbit.

What is Space Computer? In a nutshell, Space Computer is an "orbital root of trust," providing a platform for running secure and confidential computations on satellites. The core value proposition lies in the unique security guarantees of space. "Once a box is launched securely and deployed into space, nobody can come later and hack into it," Maliki explained. "It's purely, perfectly tamper-proof at this point." This environment makes it leak-proof, ensures communications cannot be easily jammed, and provides verifiable geolocation, offering powerful decentralization properties.

Architecture and Use Cases The system is designed with a two-tier architecture:

• Layer 1 (Celestial): The authoritative root of trust runs on a network of satellites in orbit, optimized for limited and intermittent communication.
• Layer 2 (Terrestrial): Standard scaling solutions like rollups and state channels run on Earth, anchoring to the celestial Layer 1 for finality and security.

Early use cases include running highly secure blockchain validators and a true random number generator that captures cosmic radiation. However, Maliki emphasized the platform's potential for unforeseen innovation. "The coolest thing about building a platform is always that you build a platform and other people will come and build use cases that you never even dreamed of."

Drawing a parallel to the ambitious Project Corona of the 1950s, which physically dropped film buckets from spy satellites to be caught mid-air by aircraft, Maliki urged the audience to think big. "By comparison, what we work with today in space computer is a luxury, and we're very excited about the future."

Tomasz Stanczak: The Ethereum Roadmap - Scaling, Privacy, and AI​

Tomasz Stanczak, Executive Director of the Ethereum Foundation, provided a comprehensive overview of Ethereum's evolving roadmap, which is heavily focused on scaling, enhancing privacy, and integrating with the world of AI.

Short-Term Focus: Supporting L2s The immediate priority for Ethereum is to solidify its role as the best platform for Layer 2s to build upon. Upcoming forks, Fusaka and Glumpsterdom, are centered on this goal. "We want to make much stronger statements that yes, [L2s] innovate, they extend Ethereum, and they will have a commitment from protocol builders that Layer 1 will support L2s in the best way possible," Stanczak stated.

Long-Term Vision: Lean Ethereum and Real-Time Proving Looking further ahead, the "Lean Ethereum" vision aims for massive scalability and security hardening. A key component is the ZK-EVM roadmap, which targets real-time proving with latencies under 10 seconds for 99% of blocks, achievable by solo stakers. This, combined with data availability improvements, could push L2s to a theoretical "10 million TPS." The long-term plan also includes a focus on post-quantum cryptography through hash-based signatures and ZK-EVMs.

Privacy and the AI Intersection Privacy is another critical pillar. The Ethereum Foundation has established the Privacy and Scaling Explorations (PSC) team to coordinate efforts, support tooling, and explore protocol-level privacy integrations. Stanczak sees this as crucial for Ethereum's interaction with AI, enabling use cases like censorship-resistant financial markets, privacy-preserving AI, and open-source agentic systems. He emphasized that Ethereum's culture of connecting multiple disciplines—from finance and art to robotics and AI—is essential for navigating the challenges and opportunities of the next decade.

Sreeram Kannan: The Trust Framework for Ambitious Crypto Apps with EigenCloud​

Sreeram Kannan, founder of Eigen Labs, challenged the audience to think beyond the current scope of crypto applications, presenting a framework for understanding crypto's core value and introducing EigenCloud as a platform to realize this vision.

Crypto's Core Thesis: A Verifiability Layer "Underpinning all of this is a core thesis that crypto is the trust or verifiability layer on top of which you can build very powerful applications," Kannan explained. He introduced a "TAM vs. Trust" framework, illustrating that the total addressable market (TAM) for a crypto application grows exponentially as the trust it underwrites increases. Bitcoin's market grows as it becomes more trusted than fiat currencies; a lending platform's market grows as its guarantee of borrower solvency becomes more credible.

EigenCloud: Unleashing Programmability Kannan argued that the primary bottleneck for building more ambitious apps—like a decentralized Uber or trustworthy AI platforms—is not performance but programmability. To solve this, EigenCloud introduces a new architecture that separates application logic from token logic.

"Let's keep the token logic on-chain on Ethereum," he proposed, "but the application logic is moved outside. You can actually now write your core logic in arbitrary containers... execute them on any device of your choice, whether it's a CPU or a GPU... and then bring these results verifiably back on-chain."

This approach, he argued, extends crypto from a "laptop or server scale to cloud scale," allowing developers to build the truly disruptive applications that were envisioned in crypto's early days.

Panel: A Deep Dive into Blockchain Architecture​

A panel featuring Leiyang from MegaETH, Adi from Realo, and Solomon from the Solana Foundation explored the trade-offs between monolithic, modular, and "super modular" architectures.

• MegaETH (Modular L2): Leiyang described MegaETH's approach of using a centralized sequencer for extreme speed while delegating security to Ethereum. This design aims to deliver a Web2-level real-time experience for applications, reviving the ambitious "ICO-era" ideas that were previously limited by performance.
• Solana (Monolithic L1): Solomon explained that Solana's architecture, with its high node requirements, is deliberately designed for maximum throughput to support its vision of putting all global financial activity on-chain. The current focus is on asset issuance and payments. On interoperability, Solomon was candid: "Generally speaking, we don't really care about interoperability... It's about getting as much asset liquidity and usage on-chain as possible."
• Realo ("Super Modular" L1): Adi introduced Realo's "super modular" concept, which consolidates essential services like oracles directly into the base layer to reduce developer friction. This design aims to natively connect the blockchain to the real world, with a go-to-market focus on RWAs and making the blockchain invisible to end-users.

Panel: The Real Intersection of AI and Blockchain​

Moderated by Ed Roman of HackVC, this panel showcased three distinct approaches to merging AI and crypto.

• Ping AI (Bill): Ping AI is building a "personal AI" where users maintain self-custody of their data. The vision is to replace the traditional ad-exchange model. Instead of companies monetizing user data, Ping AI's system will reward users directly when their data leads to a conversion, allowing them to capture the economic value of their digital footprint.
• Public AI (Jordan): Described as the "human layer of AI," Public AI is a marketplace for sourcing high-quality, on-demand data that can't be scraped or synthetically generated. It uses an on-chain reputation system and staking mechanisms to ensure contributors provide signal, not noise, rewarding them for their work in building better AI models.
• Gradient (Eric): Gradient is creating a decentralized runtime for AI, enabling distributed inference and training on a network of underutilized consumer hardware. The goal is to provide a check on the centralizing power of large AI companies by allowing a global community to collaboratively train and serve models, retaining "intelligent sovereignty."

More Highlights from the Summit​

• Orin Katz (Starkware) presented building blocks for "compliant on-chain privacy," detailing how ZK-proofs can be used to create privacy pools and private tokens (ZRC20s) that include mechanisms like "viewing keys" for regulatory oversight.
• Sam Green (Cambrian) gave an overview of the "Agentic Finance" landscape, categorizing crypto agents into trading, liquidity provisioning, lending, prediction, and information, and highlighted the need for fast, comprehensive, and verifiable data to power them.
• Max Siegel (Privy) shared lessons from onboarding over 75 million users, emphasizing the need to meet users where they are, simplify product experiences, and let product needs inform infrastructure choices, not the other way around.
• Nil Dalal (Coinbase) introduced the "Onchain Agentic Commerce Stack" and the open standard X42, a crypto-native protocol designed to create a "machine-payable web" where AI agents can seamlessly transact using stablecoins for data, APIs, and services.
• Gordon Liao & Austin Adams (Circle) unveiled Circle Gateway, a new primitive for creating a unified USDC balance that is chain-abstracted. This allows for near-instant (<500ms) deployment of liquidity across multiple chains, dramatically improving capital efficiency for businesses and solvers.

The day concluded with a clear message: the foundational layers of crypto are maturing, and the focus is shifting decisively towards building robust, user-friendly, and economically sustainable applications that can bridge the gap between the on-chain world and the global economy.

Ethereum is targeting 10x Layer 1 scaling by 2026, driven by Co-Executive Director Tomasz Stanczak's operational transformation of the Ethereum Foundation. The Glamsterdam hard fork, planned for mid-2026, will deliver Verkle Trees, enshrined Proposer-Builder Separation, and progressive gas limit increases to 150 million units—representing the most ambitious single-year upgrade in Ethereum's history. This isn't just technical evolution; it's a fundamental shift in how the Foundation operates, moving from long-term theorizing to aggressive six-month upgrade cycles under Stanczak's mandate to make Ethereum competitive now, not later.

Since becoming Co-Executive Director in March 2025 alongside Hsiao-Wei Wang, Stanczak has restructured the Foundation around three strategic pillars: scaling Ethereum mainnet, expanding blob capacity for Layer 2 growth, and dramatically improving user experience through unified cross-chain interactions. His background building Nethermind from a project to the third-largest Ethereum execution client, combined with Wall Street experience at Citibank's FX trading desk, positions him uniquely to bridge Ethereum's decentralized developer community with traditional financial institutions increasingly eyeing blockchain infrastructure. The 2026 roadmap reflects his operational philosophy: "no amount of talking about Ethereum's roadmap and vision matters if we cannot achieve coordination levels that consistently meet goals on schedule."

A Wall Street veteran reimagining Ethereum Foundation leadership​

Tomasz Stanczak's journey from traditional finance to blockchain leadership shapes his approach to Ethereum's 2026 challenges. After building trading platforms at Citibank London (2011-2016) and discovering Ethereum at a London meetup in 2015, he founded Nethermind in 2017, growing it into one of Ethereum's top three execution clients—critical infrastructure that processed transactions during The Merge. This entrepreneurial success informs his Foundation leadership style: where predecessor Aya Miyaguchi focused on long-term research and hands-off coordination, Stanczak conducts over 200 stakeholder conversations, appears on major podcasts monthly, and publicly tracks upgrade timelines on social media.

His co-directorship with Wang divides responsibilities strategically. Wang stewards Ethereum's core principles—decentralization, censorship resistance, privacy—while Stanczak owns operational execution and timeline management. This structure aims to free Vitalik Buterin for deep research on single-slot finality and post-quantum cryptography rather than daily coordination. Stanczak explicitly states: "Following the recent changes in leadership at the Ethereum Foundation, we aimed, among other things, to free more of Vitalik's time for research and exploration, rather than day-to-day coordination or crisis response."

The organizational transformation includes empowering 40+ team leads with greater decision-making authority, restructuring developer calls toward product delivery rather than endless discussion, integrating application builders into early planning stages, and implementing dashboard tracking for measurable progress. In June 2025, Stanczak laid off 19 employees as part of streamlining efforts—controversial but consistent with his mandate to accelerate execution. He positions this urgency in market context: "The ecosystem called out. You're operating too disorganised, you need to operate a bit more centralised and way more accelerated to be there for this critical period."

Three strategic pillars define Ethereum's next 12 months​

Stanczak and Wang outlined three core objectives in their April 2025 Foundation blog post "The Next Chapter," establishing the framework for 2026 deliverables.

Scaling Ethereum mainnet represents the primary technical focus. The current 30-45 million gas limit will increase to 150 million by Glamsterdam, enabling roughly 5x more transactions per block. This combines with stateless client capabilities via Verkle Trees, allowing nodes to verify blocks without storing Ethereum's entire 50+ GB state. Stanczak emphasizes this isn't just capacity expansion—it's making mainnet "a solid rock and nimble network" that institutions can trust with trillion-dollar contracts. The aggressive target emerged from extensive community consultation, with Vitalik Buterin noting that validators show roughly 50% support for immediate increases, providing social consensus for the technical roadmap.

Scaling blobs addresses Layer 2 ecosystem needs directly. Proto-danksharding launched in March 2024 with 3-6 blobs per block, each carrying 128 KB of rollup transaction data. By mid-2026, PeerDAS (Peer Data Availability Sampling) will enable 48 blobs per block—an 8x increase—by allowing validators to sample just 1/16th of blob data rather than downloading everything. Automated Blob Parameter Only hard forks will progressively increase capacity: 10-15 blobs by December 2025, 14-21 blobs by January 2026, then continued growth toward the 48-blob ceiling. This blob scaling directly translates to lower L2 transaction costs, with Layer 2 fees already down 70-95% post-Dencun and targeting further 50-70% reductions through 2026.

Improving user experience tackles Ethereum's fragmentation problem. With 55+ Layer 2 rollups holding $42 billion in liquidity but creating disjointed user experiences, the Ethereum Interoperability Layer launches Q1 2026 to "make Ethereum feel like one chain again." The Open Intents Framework enables users to declare desired outcomes—swap token X for token Y—while solvers handle the complex routing across chains invisibly. Meanwhile, the Fast Confirmation Rule reduces perceived finality from 13-19 minutes to 15-30 seconds, a 98% latency reduction that makes Ethereum competitive with traditional payment systems for the first time.

Glamsterdam upgrade represents 2026's pivotal technical milestone​

The Glamsterdam hard fork, targeted for Q1-Q2 2026 approximately six months after the December 2025 Fusaka upgrade, packages the most significant protocol changes since The Merge. Stanczak repeatedly emphasizes timeline discipline, warning in August 2025: "Glamsterdam may be getting some attention (it is a fork for Q1/Q2 2026). In the meantime, we should be more concerned about any potential delays to Fusaka... I would love to see a broad agreement that the timelines matter a lot. A lot."

Enshrined Proposer-Builder Separation (EIP-7732) represents the upgrade's headline consensus layer change. Currently, block building occurs off-protocol through MEV-Boost, with three builders controlling roughly 75% of block production—a centralization risk. ePBS integrates PBS directly into Ethereum's protocol, eliminating trusted relays and enabling any entity to become a builder by staking requirements. Builders construct optimized blocks and bid for inclusion, validators select the highest bid, and attester committees verify commitments cryptographically. This provides an 8-second execution window (up from 2 seconds), enabling more sophisticated block construction while maintaining censorship resistance. However, ePBS introduces technical complexity including the "free option problem"—builders might withhold blocks after winning bids—requiring threshold encryption solutions still under development.

Fork-Choice enforced Inclusion Lists (FOCIL, EIP-7805) complements ePBS by preventing transaction censorship. Validator committees generate mandatory inclusion lists of transactions that builders must incorporate, ensuring users cannot be indefinitely censored even if builders coordinate to exclude specific addresses. Combined with ePBS, FOCIL creates what researchers call the "holy trinity" of censorship resistance (alongside future encrypted mempools), directly addressing regulatory concerns about blockchain neutrality.

Verkle Trees transition from Merkle Patricia Trees enables stateless clients, reducing proof sizes from roughly 1 KB to 150 bytes. This allows nodes to verify blocks without storing Ethereum's entire state, lowering hardware requirements dramatically and enabling lightweight verification. The full transition may extend into late 2026 or early 2027 given complexity, but partial implementation begins with Glamsterdam. Notably, debate continues about whether to complete Verkle Trees or skip directly to STARK-based proofs for quantum resistance—a decision that will clarify during 2026 based on Glamsterdam's performance.

Six-second slot times (EIP-7782) propose cutting block times from 12 to 6 seconds, halving confirmation latency across the board. This tightens DEX pricing mechanisms, reduces MEV opportunities, and improves user experience. However, it increases centralization pressure by requiring validators to process blocks twice as fast, potentially favoring professional operators with superior infrastructure. The proposal remains "draft phase" with uncertain inclusion in Glamsterdam, reflecting ongoing community debate about performance-decentralization tradeoffs.

Beyond these headliners, Glamsterdam packages numerous execution layer improvements: block-level access lists enabling parallelized validation, continuous gas limit increases (EIP-7935), history expiry reducing node storage requirements (EIP-4444), delayed execution for better resource allocation (EIP-7886), and potentially EVM Object Format bringing 16 EIPs for bytecode improvements. The scope represents what Stanczak calls the Foundation's shift from "ivory tower" research to pragmatic delivery.

Data availability sampling unlocks the path to 100,000+ TPS​

While Glamsterdam delivers Layer 1 improvements, 2026's scaling story centers on blob capacity expansion through PeerDAS technology deployed in December 2025's Fusaka upgrade but maturing throughout 2026.

PeerDAS implements data availability sampling, a cryptographic technique allowing validators to verify blob data exists and is retrievable without downloading entire datasets. Each blob gets extended via erasure coding and divided into 128 columns. Individual validators sample just 8 of 128 columns (1/16th of data), and if enough validators collectively sample all columns with high probability, the data is confirmed available. KZG polynomial commitments prove each sample's validity cryptographically. This reduces bandwidth requirements by 90% while maintaining security guarantees.

The technical breakthrough enables aggressive blob scaling through automated Blob Parameter Only hard forks. Unlike traditional upgrades requiring months of coordination, BPO forks adjust blob counts based on network monitoring—essentially turning a dial rather than orchestrating a complex deployment. The Foundation targets 14-21 blobs by January 2026 via the second BPO fork, then progressive increases toward 48 blobs by mid-2026. At 48 blobs per block (approximately 2.6 MB per slot), Layer 2 rollups gain roughly 512 KB/second of data throughput, enabling 12,000+ TPS across the combined L2 ecosystem.

Stanczak frames this as essential infrastructure for Layer 2 success: "Ahead of us lies one year of scaling—scaling Ethereum mainnet (L1), supporting the success of L2 chains by providing them with the best architecture to scale, to secure their networks, and to bring confidence to their users." He shifted the narrative from viewing L2s as parasitic to positioning them as Ethereum's protective "moat," emphasizing that scaling comes before fee-sharing mechanisms.

Beyond 2026, research continues on FullDAS (led by Francesco D'Amato) exploring next-generation data availability with highly diverse participant sharding. Full Danksharding—the ultimate vision of 64 blobs per block enabling 100,000+ TPS—remains several years away, requiring 2D erasure coding and complete ePBS maturity. But 2026's PeerDAS deployment provides the foundation, with Stanczak emphasizing measured progress: careful scaling, extensive testing, and avoiding the destabilization that plagued earlier Ethereum transitions.

Layer 2 unification tackles Ethereum's fragmentation crisis​

Ethereum's rollup-centric roadmap created a fragmentation problem: 55+ Layer 2 chains with $42 billion in liquidity but no standardized interoperability, forcing users to manually bridge assets, maintain separate wallets, and navigate incompatible interfaces. Stanczak identifies this as a critical 2026 priority: making Ethereum "feel like one chain again."

The Ethereum Interoperability Layer, designed publicly in October 2025 and implementing Q1 2026, provides trustless, censorship-resistant cross-chain infrastructure adhering to "CROPS values" (Censorship-Resistance, Open-source, Privacy, Security). Unlike centralized bridges or trusted intermediaries, EIL operates as a prescriptive execution layer where users specify exact transactions rather than declaring abstract intents that third parties fulfill opaquely. This maintains Ethereum's core philosophy while enabling seamless cross-L2 operations.

The Open Intents Framework forms EIL's technical foundation, with production-ready smart contracts already deployed. OIF uses a four-layer architecture: origination (where intents are created), fulfillment (solver execution), settlement (on-chain confirmation), and rebalancing (liquidity management). The framework is modular and lightweight, allowing different L2s to customize mechanisms—Dutch auctions, first-come-first-serve, or novel designs—while maintaining interoperability through common standards like ERC-7683. Major ecosystem players including Across, Arbitrum, Hyperlane, LI.FI, OpenZeppelin, Taiko, and Uniswap contributed to the specification.

Fast confirmation rules complement cross-chain improvements by addressing latency. Currently, strong transaction finality requires 64-95 slots (13-19 minutes), making cross-chain operations painfully slow. The Fast L1 Confirmation Rule, targeting Q1 2026 availability across all consensus clients, provides strong probabilistic confirmation in 15-30 seconds using accumulated attestations. This 98% latency reduction makes cross-chain swaps competitive with centralized exchanges for the first time. Stanczak emphasizes that perception matters: users experience transactions as "confirmed" when they see strong probabilistic security, even if cryptographic finality comes later.

For Layer 2 settlement improvements, zksettle mechanisms enable optimistic rollups to settle in hours rather than 7-day challenge windows by using ZK-proofs for faster validation. The "2-out-of-3" mechanism combines ZK-based real-time proving with traditional challenge periods, providing maximal user protection at minimal cost. These improvements integrate directly with OIF, reducing rebalancing costs for solvers and enabling cheaper fees for intent protocol users.

Quantifying 2026's performance revolution in concrete metrics​

Stanczak's scaling targets translate to specific, measurable improvements across latency, throughput, cost, and decentralization dimensions.

Throughput scaling combines Layer 1 and Layer 2 gains. L1 capacity increases from 30-45 million gas to 150+ million gas, enabling roughly 50-100 TPS on mainnet (from current 15-30 TPS). Layer 2 rollups collectively scale from 1,000-2,000 TPS to 12,000+ TPS via blob expansion. Smart contract size limits double from 24 KB to 48 KB, enabling more complex applications. The combined effect: Ethereum's total transaction processing capability increases by roughly 6-12x during 2026, with potential for 100,000+ TPS as full Danksharding research matures post-2026.

Latency improvements fundamentally change user experience. Fast confirmation drops from 13-19 minutes to 15-30 seconds—a 98% reduction in perceived finality. If EIP-7782's 6-second slot times get approved, block inclusion times halve. Layer 2 settlement compression from 7 days to hours represents an 85-95% reduction. These changes make Ethereum competitive with traditional payment systems and centralized exchanges for user experience while maintaining decentralization and security.

Cost reductions cascade through the stack. Layer 2 gas fees already dropped 70-95% post-Dencun with proto-danksharding; further 50-80% blob fee reductions emerge as capacity scales to 48 blobs. Layer 1 gas costs potentially decrease 30-50% via gas limit increases spreading fixed validator costs across more transactions. Cross-chain bridging costs approach zero through EIL's trustless infrastructure. These reductions enable entirely new use cases—micropayments, gaming, social media onchain—previously uneconomical.

Decentralization metrics improve counterintuitively despite scaling. Verkle Trees reduce node storage requirements from 150+ GB to under 50 GB, lowering barriers to running validators. The increased maximum effective balance from 32 ETH to 2,048 ETH per validator (deployed in Pectra May 2025) enables institutional staking efficiency without requiring separate validator instances. ePBS eliminates trusted MEV-Boost relays, distributing block building opportunities more widely. The validator set could grow from roughly 1 million to 2 million validators during 2026 as barriers decrease.

Stanczak emphasizes that these aren't just technical achievements—they enable his vision of "10-20% of the global economy onchain, and it may happen faster than people think." The quantitative targets directly support qualitative goals: tokenized securities, stablecoin dominance, real-world asset markets, and AI agent coordination all require this performance baseline.

Account abstraction matures from research concept to mainstream feature​

While scaling grabs headlines, user experience improvements through account abstraction represent equally transformative 2026 developments, directly addressing Ethereum's reputation for poor onboarding and complex wallet management.

ERC-4337, deployed March 2023 and maturing throughout 2024-2025, establishes smart contract wallets as first-class citizens. Rather than requiring users to manage private keys and pay gas in ETH, UserOperation objects flow through alternative mempools where bundlers aggregate transactions and paymasters sponsor fees. This enables gas payment in any ERC-20 token (USDC, DAI, project tokens), social recovery via trusted contacts, transaction batching for complex operations, and custom validation logic including multisig, passkeys, and biometric authentication.

EIP-7702, deployed in May 2025's Pectra upgrade, extends these benefits to existing Externally Owned Accounts. Through temporary code delegation, EOAs gain smart account features without migrating to new addresses—preserving transaction history, token holdings, and application integrations while accessing advanced functionality. Users can batch approval and swap operations into single transactions, delegate spending permissions temporarily, or implement time-locked security policies.

Stanczak personally tested wallet onboarding flows to identify friction points, bringing product-thinking from his Nethermind entrepreneurship. His emphasis: "We will focus on speed of execution, accountability, clear goals, objectives, and metrics to track" extends beyond protocol development to application-layer experience. The Foundation shifted from pure grants to actively connecting founders with resources, talent, and partners—infrastructure that supports account abstraction's mainstream adoption during 2026.

Privacy enhancements complement account abstraction through the Kohaku privacy wallet project, led by Nicolas Consigny and Vitalik Buterin, developing through 2026. Kohaku provides SDK exposing privacy and security primitives—native private balances, private addresses, Helios light client integration—with a power-user browser extension demonstrating capabilities. The four-layer privacy model addresses private payments (integrated privacy tools like Railgun), partial dApp activity obscuring (separate addresses per application), hidden read-access (TEE-based RPC privacy transitioning to Private Information Retrieval), and network-level anonymization. These capabilities position Ethereum for institutional compliance requirements while maintaining censorship resistance—a balance Stanczak identifies as critical for "winning RWA and stables."

Operational transformation reflects lessons from traditional finance and startups​

Stanczak's leadership style derives directly from Wall Street and entrepreneurial experience, contrasting sharply with Ethereum's historically academic, consensus-driven culture.

His restructuring establishes clear accountability. The 40+ team leads model distributes decision-making authority rather than bottlenecking through central committees, mirroring how trading desks operate autonomously within risk parameters. Developer calls shifted focus from endless specification discussions to shipping current testnets, with fewer future fork calls until present work completes. This parallels agile methodologies from software startups: tight iteration cycles, concrete deliverables, public tracking.

The six-month upgrade cadence itself represents dramatic acceleration. Ethereum historically launched major upgrades every 12-18 months, with frequent delays. Stanczak targets Pectra (May 2025), Fusaka (December 2025), and Glamsterdam (Q1-Q2 2026)—three significant upgrades in 12 months. His public statements emphasize timeline discipline: "I know that some extremely talented people are now working on resolving the issues that caused teams to suggest moving the dates. I would love to see a broad agreement that the timelines matter a lot. A lot." This urgency acknowledges competitive pressure from Solana, Aptos, and other chains shipping features faster.

The Foundation's communication strategy transformed from infrequent blog posts to active social media engagement, conference appearances (Devcon, Token 2049, Paris Blockchain Week, Point Zero Forum), podcast circuits (Bankless, Unchained, The Defiant), and direct institutional outreach. Stanczak conducted over 200 conversations with ecosystem stakeholders during his first months, treating Co-Executive Director as a customer-facing role rather than pure technical leadership. This accessibility mirrors startup founder patterns—constantly in market, gathering feedback, adjusting strategy.

However, his dual role as Ethereum Foundation Co-Executive Director and Nethermind founder creates ongoing controversy. Nethermind remains the third-largest Ethereum execution client, and critics question whether Stanczak can fairly allocate Foundation grants to competing clients like Geth, Besu, and Erigon. A June 2025 conflict with Péter Szilágyi (Geth lead) over Foundation-funded Geth fork development highlighted these tensions. Stanczak maintains he's transitioning out of Nethermind's CEO role but retains significant involvement, requiring careful navigation of perceived conflicts.

The layoffs of 19 employees in June 2025 proved equally controversial in a community valuing decentralization and collective decision-making. Stanczak frames this as necessary streamlining, implementing "more hands-on hiring review process" and focusing resources on execution-critical teams. The move signals that Foundation leadership now prioritizes operational efficiency over consensus-building, accepting criticism as the cost of faster delivery.

Single-slot finality and quantum resistance remain active research beyond 2026​

While 2026 focuses on deliverable upgrades, Stanczak emphasizes the Foundation's continued commitment to long-term protocol evolution, explicitly positioning near-term execution within broader strategic context.

Single-slot finality research aims to reduce Ethereum's current 12.8-minute finality (64 slots across 2 epochs) to 12 seconds—finalizing blocks in the same slot they're proposed. This eliminates short-range reorganization vulnerability and simplifies the complex fork-choice/finality interface. However, achieving SSF with 1-2 million validators requires processing massive attestations per slot. Proposed solutions include brute-force BLS signature aggregation using ZK-SNARKs, Orbit SSF with validator sub-sampling, and two-tiered staking systems separating high-stake validators from broader participation.

Intermediate solutions deploy during 2026. The Fast Confirmation Rule provides 15-30 second strong probabilistic security using accumulated attestations—not technically finality but achieving 98% latency reduction for user experience. Research tracks including 3-Slot Finality (3SF) and alternative consensus protocols (Kudzu, Hydrangea, Alpenglow) continue exploration, led by Francesco D'Amato, Luca Zanolini, and EF Protocol Consensus team. Stanczak's operational changes deliberately free Vitalik Buterin to focus on this deep research rather than daily coordination: "Vitalik's proposals will always carry weight, but they are intended to start conversations and encourage progress in difficult research areas."

Verkle Trees versus STARKs represents another long-term decision point. Verkle Trees deploy partially in 2026 for stateless clients, reducing proof sizes and enabling lightweight verification. However, Verkle's polynomial commitments are vulnerable to quantum computing attacks, while STARK-based proofs provide quantum resistance. The community debates whether completing Verkle Trees then migrating to STARKs adds unnecessary complexity versus skipping directly to STARKs. Stanczak's pragmatism suggests shipping Verkle Trees for near-term benefits while monitoring quantum computing progress and STARK-proof performance, maintaining optionality.

Beam Chain and "Ethereum 3.0" discussions explore comprehensive consensus layer redesign incorporating lessons from years of proof-of-stake operation. These conversations remain speculative but inform incremental improvements during 2026. Stanczak's "secondary roadmap" posted in April 2025 outlines aspirational goals beyond core protocol work: winning real-world assets, dominating stablecoin infrastructure, greatly increasing security expectations for "quadrillion economy" scale, and positioning Ethereum for AI/agentic protocol integration as "long term which will be so cool that it will attract the greatest thinkers over long time."

This balance—aggressive near-term execution while funding long-term research—defines Stanczak's approach. He repeatedly emphasizes that Ethereum must deliver now to maintain ecosystem momentum, but not at the cost of foundational principles. His April 2025 blog post with Wang states: "The values remain unchanged: open source, censorship resistance, privacy, and security... Ethereum mainnet will remain a global, neutral network, a protocol trusted to be trustless."

Navigating institutional adoption while preserving decentralization's core​

Stanczak's background in traditional finance uniquely positions him to engage institutions exploring blockchain infrastructure, but this creates tension with Ethereum's cypherpunk roots.

His European institutional tour in April 2025, direct engagement with financial services firms, and emphasis on being "face of the organization" represent departure from Ethereum's historically faceless, community-driven ethos. He acknowledges this explicitly: "Institutions need someone to be the face of the organisation that is representing Ethereum." This positioning responds to competitive dynamics—Solana, Ripple, and other chains have centralized leadership structures institutions understand. Stanczak argues Ethereum needs similar interfaces without abandoning decentralization.

The Foundation's strategic priorities reflect this institutional focus: "Win RWA (Real World Assets), Win stables (stablecoins)" appear prominently in Stanczak's secondary roadmap. Real-world asset tokenization—equities, bonds, real estate, commodities—requires performance, compliance capabilities, and institutional-grade security Ethereum historically lacked. Stablecoin dominance, with USDC and USDT representing massive onchain value, positions Ethereum as settlement layer for global finance. Stanczak frames this as existential: "Suddenly you have 10% or 20% of the whole economy onchain. It may happen faster than people think."

His "Trillion Dollar Security" initiative envisions infrastructure where billions of people hold $1,000+ onchain securely, and institutions trust single smart contracts with $1 trillion. This requires not just technical scaling but security standards, auditing practices, incident response capabilities, and regulatory clarity Ethereum's decentralized development process struggles to provide. Stanczak's operational changes—clear leadership, accountability, public tracking—aim to demonstrate Ethereum can deliver institutional-grade reliability while maintaining neutrality.

Critics worry this institutional focus could compromise censorship resistance. Stanczak's response emphasizes technical solutions: ePBS eliminates trusted relays that could be pressured to censor transactions, FOCIL ensures inclusion lists prevent indefinite censorship, encrypted mempools hide transaction contents until inclusion. The "holy trinity" of censorship resistance protects Ethereum's neutrality even as institutions adopt the platform. He states: "The focus is now on interoperability, tools and standards that can bring more cohesion to the Ethereum network—without compromising its core principles, such as decentralization and neutrality."

The tension remains unresolved. Stanczak's dual role at Nethermind, close institutional relationships, and emphasis on centralized execution for "critical period" acceleration represent pragmatic adaptation to competitive pressures. Whether this compromises Ethereum's founding values or successfully bridges decentralization with mainstream adoption will become clear through 2026's execution.

2026 marks a definitive test of Ethereum's scaling promises​

Ethereum enters 2026 at an inflection point. After years of research, specification, and delayed timelines, the Glamsterdam upgrade represents a concrete commitment: deliver 10x scaling, deploy ePBS and FOCIL, enable stateless clients, unify Layer 2 fragmentation, and achieve 15-30 second confirmations—all while maintaining decentralization and security. Stanczak's leadership transformation provides the operational structure to execute this roadmap, but success requires coordinating 23+ client teams, managing complex protocol changes, and shipping on aggressive six-month cycles without destabilizing the $300+ billion network.

The quantitative targets are explicit and measurable. Gas limits must reach 150 million or higher. Blob capacity must scale to 48 blobs per block through automated BPO forks. Fast confirmation rules must deploy across all consensus clients by Q1 2026. EIL must unify 55+ Layer 2s into seamless user experience. Glamsterdam must activate mid-2026 without significant delays. Stanczak stakes his credibility and the Foundation's reputation on meeting these deadlines: "no amount of talking about Ethereum's roadmap and vision matters if we cannot achieve coordination levels that consistently meet goals on schedule."

His vision extends beyond technical metrics to ecosystem transformation. Institutional adoption of tokenized assets, stablecoin infrastructure dominance, AI agent coordination, and autonomous machine integration all require the performance baseline 2026 delivers. The shift from Ethereum as "world computer" research project to Ethereum as global financial infrastructure reflects Stanczak's Wall Street perspective—systems must work reliably at scale, with clear accountability and measurable results.

The operational changes—accelerated timelines, empowered team leads, public tracking, institutional engagement—represent permanent cultural shift, not temporary response to competitive pressure. Stanczak and Wang's co-directorship model balances execution urgency with values preservation, but the emphasis clearly lies on delivery. The community's acceptance of this more centralized coordination structure, the June 2025 layoffs, and aggressive deadlines indicates broad recognition that Ethereum must evolve or lose market position to faster-moving competitors.

Whether 2026 validates or undermines this approach depends on execution. If Glamsterdam ships on time with promised improvements, Ethereum cements its position as the dominant smart contract platform, and Stanczak's operational model becomes the template for decentralized protocol governance at scale. If delays occur, complexity overwhelms client teams, or security issues emerge from rushed deployment, the community will question whether speed was prioritized over the careful, conservative approach that made Ethereum secure for a decade. Stanczak's repeated warnings about timeline discipline suggest he understands these stakes completely—2026 is the year Ethereum must deliver, not plan, not research, but ship working infrastructure that scales.

The technical roadmap is comprehensive, the leadership committed, and the ecosystem aligned behind these goals. Stanczak brings unique capabilities from traditional finance, client implementation, and entrepreneurial success to marshal resources toward concrete objectives. His vision of Ethereum processing 10-20% of global economic activity onchain within years, not decades, provides ambitious North Star. The 2026 roadmap represents the first major test of whether that vision can materialize through disciplined execution rather than remaining perpetual future promise. As Stanczak emphasizes: "People say we need the Foundation now." The next 12 months will demonstrate whether Ethereum Foundation's operational transformation can deliver on that urgent demand while maintaining the credible neutrality, censorship resistance, and open development that define Ethereum's foundational principles.

The institutional cryptocurrency market has fundamentally transformed in 2024-2025, with trading volumes surging 141% year-over-year, $120 billion flowing into Bitcoin ETFs within 18 months, and 86% of institutional investors now holding or planning crypto allocations. This shift from skepticism to structural adoption marks the end of what CME Group's Giovanni Vicioso calls "the dark ages" for crypto. The convergence of three catalysts—landmark ETF approvals, regulatory frameworks in the US and Europe, and infrastructure maturation—has created what FalconX's Joshua Lim describes as a "critical moment" where institutional participation has permanently overtaken retail-driven speculation. Major institutions including BlackRock, Fidelity, Goldman Sachs alumni, and traditional exchanges have deployed capital, talent, and balance sheets at unprecedented scale, fundamentally reshaping market structure and liquidity.

The leaders driving this transformation represent a new generation bridging traditional finance expertise with crypto-native innovation. Their coordinated infrastructure buildout across custody, derivatives, prime brokerage, and regulatory compliance has created the foundation for trillions in institutional capital flows. While challenges remain—particularly around standardization and global regulatory harmonization—the market has irreversibly crossed the threshold from experimental asset class to essential portfolio component. The data tells the story: CME crypto derivatives now trade $10.5 billion daily, Coinbase International Exchange achieved 6200% volume growth in 2024, and institutional clients have nearly doubled at major platforms. This is no longer a question of if institutions adopt crypto, but how quickly and at what scale.

A watershed year established crypto's legitimacy through regulation and access​

The January 2024 approval of spot Bitcoin ETFs stands as the single most consequential event in institutional crypto history. After a decade of rejections, the SEC approved 11 Bitcoin ETFs on January 10, 2024, with trading commencing the following day. BlackRock's IBIT alone has accumulated nearly $100 billion in assets by October 2025, making it one of the most successful ETF launches ever measured by asset accumulation speed. Across all US Bitcoin ETFs, assets reached $120 billion by mid-2025, with global Bitcoin ETF holdings approaching $180 billion.

Giovanni Vicioso, Global Head of Cryptocurrency Products at CME Group, emphasizes that "Bitcoin and Ethereum are just really too large, too big to ignore"—a perspective born from nearly 30 years in traditional finance and his leadership since 2012 in building CME's crypto products. The ETF approvals didn't happen by chance, as Vicioso explains: "We've been building this market since 2016. With the introduction of the CME CF benchmarks, Bitcoin reference rate, and the introduction of futures in December 2017, those products serve as the bedrock on which the ETFs are built." Six of the ten Bitcoin ETFs benchmark to the CME CF Bitcoin Reference Rate, demonstrating how regulated derivatives infrastructure created the foundation for spot product approval.

The symbiotic relationship between ETFs and derivatives has driven explosive growth across both markets. Vicioso notes that "ETF products and futures have a symbiotic relationship. Futures are growing as a result of the ETFs—but the ETFs also grow as a result of the liquidity that exists with our futures products." This dynamic manifested in CME's market leadership, with crypto derivatives averaging $10.5 billion daily in the first half of 2025, compared to $5.6 billion in the same period of 2024. By September 2025, CME's notional open interest hit a record $39 billion, and large open interest holders reached 1,010—clear evidence of institutional scale participation.

Ethereum ETFs followed in July 2024, launching with nine products including BlackRock's ETHA and Grayscale's ETHE. Initial adoption lagged Bitcoin, but by August 2025, Ethereum ETFs dominated flows with $4 billion in inflows that month alone, representing 77% of total crypto ETP flows while Bitcoin ETFs experienced $800 million in outflows. BlackRock's ETHA recorded a single-day record of $266 million in inflows. Jessica Walker, Binance's Global Media and Content Lead, highlighted that spot Ethereum ETFs reached $10 billion in assets under management in record time, driven by 35 million ETH staked (29% of total supply) and the asset's evolution into a yield-bearing institutional product offering 3-14% annualized returns through staking.

The infrastructure supporting these ETFs demonstrates the market's maturation. FalconX, under the leadership of Joshua Lim as Global Co-Head of Markets, executed over 30% of all Bitcoin creation transactions for ETF issuers on the first day of trading, handling more than $230 million of the market's $720 million in day-one ETF creations. This execution capacity, built on FalconX's foundation as one of the largest institutional digital asset prime brokerages with over $1.5 trillion in lifetime trading volume, proved critical for seamless ETF operations.

Regulatory clarity emerged as the primary institutional catalyst across jurisdictions​

The transformation from regulatory hostility to structured frameworks represents perhaps the most significant shift enabling institutional participation. Michael Higgins, International CEO at Hidden Road, captured the sentiment: "The crypto industry has been held back by regulatory ambiguity, with a knee on its neck for the last four years. But that's about to change." His perspective carries weight given Hidden Road's achievement as one of only four companies approved under the EU's comprehensive MiCA (Markets in Crypto-Assets) regulation and the firm's subsequent $1.25 billion acquisition by Ripple in April 2025—one of crypto's largest-ever deals.

In the United States, the regulatory landscape underwent seismic shifts following the November 2024 election. Gary Gensler's resignation as SEC Chair in January 2025 preceded the appointment of Paul Atkins, who immediately established priorities favoring crypto innovation. On July 31, 2025, Atkins announced Project Crypto—a comprehensive digital asset regulatory framework designed to position the US as the "crypto capital of the world." This initiative repealed SAB 121, the accounting guidance that had effectively discouraged banks from offering crypto custody by requiring them to report digital assets as both assets and liabilities on balance sheets. The repeal immediately opened institutional custody markets, with U.S. Bank resuming services and expanding to include Bitcoin ETF support.

The GENIUS Act (Guiding and Establishing National Innovation for U.S. Stablecoins), signed in July 2025, established the first federal stablecoin framework with a two-tier system: entities with over $10 billion market capitalization face federal oversight, while smaller issuers can choose state-level regulation. Commissioner Hester Peirce's February 2025 establishment of the SEC Crypto Task Force, covering ten priority areas including custody, token security status, and broker-dealer frameworks, signaled systematic regulatory buildout rather than piecemeal enforcement.

Vicioso emphasized the importance of this clarity: "Washington's efforts to establish clear rules of the road for cryptocurrencies will be paramount going forward." The evolution is evident in conversations with clients. Where discussions in 2016-2017 centered on "What is Bitcoin? Are coins being used for illicit purposes?", Vicioso notes that "conversations nowadays are more and more around use cases: Why does Bitcoin make sense?"—extending to Ethereum, tokenization, DeFi, and Web3 applications.

Europe led globally with MiCA implementation. The regulation entered force in June 2023, with stablecoin provisions activating June 30, 2024, and full implementation for Crypto Asset Service Providers (CASPs) beginning December 30, 2024. A transitional period extends to July 1, 2026. Higgins emphasized MiCA's significance: "The goal of MiCA is to provide certainty and clarity in the digital asset space, which today has seen considerable ambiguity between different global regulators. This should allow larger financial institutions, who require known, transparent, and certain regulatory oversight, to enter the market."

Amina Lahrichi, the woman

behind France's first MiCA license and CEO of Polytrade, offers a rare perspective bridging traditional finance, European regulatory systems, and crypto entrepreneurship. Her analysis of MiCA's impact underscores both opportunities and challenges: "MiCA definitely brings clarity, but it also brings a lot of complexity and significant compliance burdens, especially on the operational side." Polytrade's successful MiCA license application required €3 million in implementation costs, hiring seven full-time compliance staff, and extensive technological infrastructure buildout—costs only feasible for well-capitalized firms.

Yet Lahrichi also sees strategic advantages: "If you're a small player, there's no way you can compete against established entities that have MiCA licenses. So once you have that license, it becomes a serious moat. People can trust you more because you've gone through all these regulatory checks." This dynamic mirrors Japan's cryptocurrency exchange licensing post-Mt. Gox—stricter regulation consolidated the industry around compliant operators, ultimately building trust that supported long-term market growth.

Infrastructure maturation enabled institutional-grade custody, execution, and liquidity​

The foundation of institutional crypto adoption rests on infrastructure that meets traditional finance standards for custody, execution quality, and operational reliability. The hidden heroes of this transformation are the companies that built the pipes and protocols enabling billions in daily institutional flows with minimal friction.

Hidden Road's acquisition by Ripple for $1.25 billion validated the importance of clearing and settlement infrastructure. Since founding in 2021, Higgins and his team have executed over $3 trillion in gross notional trading volume, establishing Hidden Road as what Higgins calls "the exclusive clearing firm for approximately 85% of over-the-counter derivatives traded globally." The company's achievement of being one of only four firms approved under MiCA came from a deliberate strategy: "We made a decision two and a half years ago that we would actually invest in the regulatory process and license process required to help make digital assets more transparent in the eyes of regulators."

This infrastructure extends to prime brokerage, where FalconX has emerged as a critical bridge between crypto-native and traditional finance participants. Joshua Lim, who joined in 2021 after holding leadership roles at Republic crypto and Genesis Trading, describes FalconX's positioning: "We sit between two distinct customer bases: institutional market makers who provide liquidity, and institutional end-users—whether hedge funds, asset managers, or corporate treasuries—who need access to that liquidity." The company's $1.5 trillion in lifetime trading volume and partnership network with 130 liquidity providers demonstrates scale competitive with traditional financial infrastructure.

Lim's perspective on institutional behavior reveals the market's sophistication: "There's been a proliferation of institutional interest across two broad categories. One is pure crypto-native hedge funds—maybe they were just trading on exchanges, maybe they were just doing on-chain trading. They've become more sophisticated on the types of strategies they want to execute." The second category comprises "traditional TradFi institutions that have been allocated or entered into the space because of the introduction of the ETFs." These participants demand execution quality, risk management, and operational rigor matching their traditional finance experience.

The operational maturation extends to custody, where the repeal of SAB 121 catalyzed a rush of traditional finance firms entering the market. U.S. Bank, which had paused crypto custody due to balance sheet constraints, immediately resumed services and expanded to Bitcoin ETF custody. Paul Mueller, Global Head of Institutional Clients at Fireblocks—a firm custody provider processing $8 trillion in lifetime transaction volume—noted that "we've expanded from 40 to 62 institutional clients during 2024" as banks and asset managers built out crypto service offerings.

Jessica Walker highlighted Binance's institutional evolution: "Institutional participation through VIP and institutional clients has increased 160% from last year. We also saw high-value individual clients increase by 44%." This growth was supported by Binance's buildout of institutional infrastructure including Binance Institutional (launched 2021), which offers customized liquidity, zero trading fees for market makers, dedicated account management, and post-trade settlement services.

New leadership generation brings hybrid traditional finance and crypto expertise​

The individuals driving institutional crypto adoption share striking commonalities: deep roots in traditional finance, technical sophistication in digital assets, and entrepreneurial risk-taking often involving career pivots at career peaks. Their collective decisions to build infrastructure, navigate regulation, and educate institutions created the conditions for mainstream adoption.

Giovanni Vicioso's journey epitomizes this bridge-building. With nearly 30 years in traditional finance including roles at Bank of America, JPMorgan, and Citi before joining CME Group, Vicioso brought credibility that helped legitimize crypto derivatives. His leadership since 2017 in building CME's crypto products transformed them from experimental offerings into benchmarks underpinning billions in ETF assets. Vicioso describes the cultural shift: **"We'

ve gone from 'Tell me what Bitcoin is' to 'Why does Bitcoin make sense? How do I allocate? What percentage of my portfolio should I have?'"**

Joshua Lim's background demonstrates similar hybrid expertise. Before crypto, he served as Global Head of Commodities at Republic, an asset management firm with $5 billion AUM, where he built trading strategies across traditional commodities. His transition to crypto came through Genesis Trading, where he was Head of Institutional Sales before joining FalconX. This path from traditional commodities to digital assets proved perfect for FalconX's institutional positioning. Lim's observation that "the ETFs have essentially provided institutional on-ramp access that didn't exist before" comes from direct experience seeing how traditional finance institutions evaluate and enter crypto markets.

Michael Higgins spent 16 years at Deutsche Bank, rising to Managing Director overseeing commodities, forex, and emerging markets trading before launching Hidden Road in 2021. His decision to focus immediately on regulatory compliance—investing in MiCA licensing while many crypto firms resisted—stemmed from traditional finance experience: "In TradFi, we have very clearly defined regulatory regimes. I thought that would be a natural way for digital assets to evolve." Hidden Road's subsequent $1.25 billion acquisition by Ripple validated this compliance-first approach.

Amina Lahrichi offers perhaps the most distinctive profile: a French-Algerian woman who studied engineering in France, worked at Société Générale, founded multiple fintech ventures, and now leads Polytrade with France's first MiCA license. Her perspective captures the European regulatory zeitgeist: "Europeans tend to be more comfortable with regulation compared to Americans, who often prefer lighter regulatory frameworks. Many European crypto companies support regulations like MiCA because they create a level playing field and prevent unfair competition."

Jessica Walker's path into crypto demonstrates the gravitational pull of the industry for communications professionals in traditional finance. Before Binance, she held media and content roles at Meta, Microsoft, and Uber, bringing public company communication standards to crypto exchanges. Her focus on institutional narrative—highlighting statistics like "$10 billion in Ethereum ETF assets in record time" and "35 million ETH staked"—reflects sophisticated institutional messaging.

Strategic buildouts created network effects amplifying institutional adoption​

The infrastructure companies didn't just respond to institutional demand—they created demand by building capacity ahead of need. This forward-looking strategy, common in traditional finance market structure evolution, proved critical for crypto's institutional wave.

Hidden Road's decision to pursue MiCA licensing two and a half years before approval required significant capital commitment without certainty of regulatory outcome. Higgins explains: "We made a decision that we would invest in the regulatory process and license process required to help make digital assets more transparent in the eyes of regulators." This meant hiring compliance teams, building regulatory reporting systems, and structuring operations for maximum transparency long before competitors considered these investments. When MiCA went live, Hidden Road had first-mover advantage in serving European institutions.

FalconX's partnership model with 130 liquidity providers created a network that became more valuable as participation increased. Lim describes the flywheel: "When end-users see that they can execute large trades with minimal slippage because we aggregate liquidity from 130 sources, they increase allocation to crypto. When market makers see this volume, they provide tighter spreads and deeper books. This creates better execution, which attracts more end-users." The result: FalconX's ability to execute over 30% of Bitcoin ETF creation transactions on day one came from years of relationship building and infrastructure investment.

CME Group's strategy shows even longer horizons. Vicioso notes that "we've been building this market since 2016" through benchmark establishment, futures product launches, and regulatory engagement. When ETF approvals came in 2024, six of ten Bitcoin ETFs benchmarked to the CME CF Bitcoin Reference Rate—a direct result of establishing credibility and standardization years earlier. CME's $10.5 billion average daily volume in crypto derivatives during H1 2025 represents the culmination of this decade-long buildout.

Binance's institutional pivot shows how crypto-native platforms adapted. Walker explains: "We've expanded institutional infrastructure significantly. Binance Institutional launched in 2021 specifically to serve professional traders and institutions with customized liquidity, zero fees for market makers, and dedicated support." This wasn't cosmetic rebranding—it required building entirely new technology stacks for post-trade settlement, API infrastructure for algorithmic trading, and compliance systems meeting institutional standards.

Market structure transformation fundamentally altered crypto price dynamics​

The institutional infrastructure buildout created quantifiable changes in market structure that affect all participants. These aren't temporary shifts but permanent transformations in how crypto prices are discovered and how liquidity operates.

Vicioso highlights the most significant change: "The ETFs have definitely increased the pool of liquidity and the total addressable market for Bitcoin and Ethereum. That, in and of itself, is a very powerful statement—the market has matured, and the ETFs are a testament to that." This maturation manifests in metrics like CME's 1,010 large open interest holders as of September 2025 and $39 billion in total notional open interest—both records demonstrating institutional scale participation.

The derivatives-spot linkage strengthened materially. Lim explains: "With the introduction of spot Bitcoin ETFs, we've seen enhanced linkage between the derivatives market and spot market. Previously, there was often a disconnect. Now, with institutional participation in both, we're seeing much tighter correlation between futures prices and spot prices." This tighter correlation reduces arbitrage opportunities but creates more efficient price discovery—a hallmark of mature markets.

Walker quantifies Binance's institutional shift: "VIP and institutional client participation increased 160% year-over-year, while high-value individual clients increased 44%." This bifurcation matters because institutional trading behavior differs fundamentally from retail. Institutions execute larger sizes, use more sophisticated strategies, and contribute to market depth rather than just consuming liquidity. When Walker notes that "we've processed $130 billion in 24-hour spot trading volume", the composition of that volume has shifted dramatically toward professional participants.

The Hidden Road acquisition price of $1.25 billion for a clearing firm processing $3 trillion in gross notional volume signals that crypto market infrastructure now commands traditional finance valuations. Higgins' observation that "we exclusively clear approximately 85% of over-the-counter derivatives traded globally" demonstrates market concentration typical of mature financial infrastructure, where economies of scale and network effects create natural oligopolies.

Persistent challenges remain despite infrastructure maturation​

Even as institutional adoption accelerates, leaders identify structural challenges that require ongoing attention. These aren't existential threats to crypto's institutional future but friction points that slow adoption and create inefficiencies.

Standardization tops the list. Lahrichi notes: "We still lack common standards across different markets. What's acceptable in the US might not meet EU requirements under MiCA. This creates operational complexity for firms operating cross-border." This fragmentation extends to custody standards, proof-of-reserves methodologies, and even basic definitions of token categories. Where traditional finance benefits from ISO standards and decades of international coordination through bodies like IOSCO, crypto operates with fragmented approaches across jurisdictions.

Regulatory harmonization remains elusive. Higgins observes: "The US and Europe are moving in different directions regulatory. MiCA is comprehensive but prescriptive. The US approach is more principles-based but still developing. This creates uncertainty for institutions that need global operations." The practical impact: firms must maintain separate compliance frameworks, technology stacks, and sometimes even separate legal entities for different markets, multiplying operational costs.

Liquidity fragmentation persists despite infrastructure improvements. Lim identifies a core tension: "We have liquidity pools spread across hundreds of venues—centralized exchanges, DEXes, OTC markets, derivatives platforms. While we at FalconX aggregate this through our network, many institutions still struggle with fragmented liquidity. In traditional finance, liquidity is much more concentrated." This fragmentation creates execution challenges, particularly for large institutional orders that can't be filled at consistent prices across venues.

Lahrichi highlights infrastructure gaps: "The operational burden of MiCA compliance is significant. We spent €3 million and hired seven full-time compliance staff. Many smaller players can't afford this, which concentrates the market among well-capitalized firms." This compliance cost creates potential barriers to innovation, as early-stage projects struggle to meet institutional standards while still experimentating with novel approaches.

Tax and accounting complexity remains a barrier. Vicioso notes: "Conversations with institutional clients often get bogged down in questions about tax treatment, accounting standards, and audit requirements. These aren't technology problems—they're regulatory and professional services gaps that need filling." The lack of clear guidance on issues like staking rewards taxation, hard fork treatment, and fair value measurement creates reporting uncertainty that risk-averse institutions struggle to navigate.

The path forward: From critical moment to structural integration​

The leaders interviewed share a common assessment: the inflection point has passed. Institutional crypto adoption is no longer a question of "if" but a process of optimization and scaling. Their perspectives reveal both the magnitude of transformation achieved and the work ahead.

Vicioso's long-term view captures the moment's significance: "We're at a critical juncture. The ETFs were the catalyst, but the real transformation is in how institutions view crypto—not as a speculative asset but as a legitimate portfolio component. That's a fundamental shift that won't reverse." This perspective, formed over eight years building CME's crypto products, carries weight. Vicioso sees infrastructure buildout continuing across custody, derivatives variety (including options), and integration with traditional finance systems.

Lim envisions continued market structure evolution: "We're moving toward a world where the distinction between crypto and traditional finance infrastructure blurs. You'll have the same quality of execution, the same risk management systems, the same regulatory oversight. The underlying asset is different, but the professional standards converge." This convergence manifests in FalconX's roadmap, which includes expansion into new asset classes, geographic markets, and service offerings that mirror traditional prime brokerage evolution.

Higgins sees regulatory clarity driving the next wave: "With MiCA in Europe and Project Crypto in the US, we finally have frameworks that institutions can work within. The next 2-3 years will see explosive growth in institutional participation, not because crypto changed but because the regulatory environment caught up." Hidden Road's Ripple acquisition positions the company for this growth, with plans to integrate Ripple's global network with Hidden Road's clearing infrastructure.

Lahrichi identifies practical integration milestones: "We'll see crypto become a standard offering at major banks and asset managers. Not a separate 'digital asset division' but integrated into core product offerings. That's when we'll know institutional adoption is complete." Polytrade's focus on real-world asset tokenization exemplifies this integration, bringing trade finance onto blockchain with institutional-grade compliance.

Walker points to market maturity indicators: "When we see 160% year-over-year growth in institutional clients and $10 billion in Ethereum ETF assets in record time, those aren't anomalies. They're data points showing a structural shift. The question isn't whether institutions will adopt crypto but how quickly this adoption scales." Binance's institutional buildout continues with enhanced API infrastructure, expanded institutional lending, and deeper integration with traditional finance counterparties.

The data validates their optimism. $120 billion in US Bitcoin ETF assets, $10.5 billion average daily crypto derivatives volume at CME, $3 trillion in gross notional volume cleared through Hidden Road, and $1.5 trillion in lifetime trading volume through FalconX collectively demonstrate that institutional crypto infrastructure has achieved scale comparable to traditional finance markets—at least in certain segments.

Yet challenges remain. Standardization efforts need coordination. Regulatory harmonization requires international dialogue. Infrastructure gaps around custody, auditing, and tax reporting need filling. These are execution challenges, not fundamental questions about institutional adoption viability. The leaders profiled here built their careers navigating similar challenges in traditional finance and applying those lessons to crypto markets.

Giovanni Vicioso, Joshua Lim, Michael Higgins, Amina Lahrichi, and Jessica Walker represent a new generation of crypto leadership—hybrid professionals bridging traditional finance expertise with crypto-native innovation. Their collective infrastructure buildout transformed market structure, regulatory posture, and institutional participation. The dark ages of crypto, defined by regulatory hostility and infrastructure deficits, have definitively ended. The maturation era, characterized by professional infrastructure and institutional integration, has begun. The transformation from experimental asset to essential portfolio component is no longer speculative—it's measurably underway, documented in billions of dollars of daily flows and institutional commitments. This is crypto's defining moment, and the institutions have arrived.

TL;DR​

Memecoins are crypto tokens born from internet culture, jokes, and viral moments. Their value is driven by attention, community coordination, and speed, not fundamentals. The category began with Dogecoin in 2013 and has since exploded with tokens like SHIB, PEPE, and a massive wave of assets on Solana and Base. This sector now represents tens of billions in market value and can significantly impact network fees and on-chain volumes. However, most memecoins lack intrinsic utility; they are extremely volatile, high-turnover assets. The risks of "rug pulls" and flawed presales are exceptionally high. If you engage, use a strict checklist to evaluate liquidity, supply, ownership controls, distribution, and contract security.

The 10-Second Definition​

A memecoin is a cryptocurrency inspired by an internet meme, a cultural inside joke, or a viral social event. Unlike traditional crypto projects, it is typically community-driven and thrives on social media momentum rather than underlying cash flows or protocol utility. The concept began with Dogecoin, which was launched in 2013 as a lighthearted parody of Bitcoin. Since then, waves of similar tokens have emerged, riding new trends and narratives across different blockchains.

How Big Is This, Really?​

Don't let the humorous origins fool you—the memecoin sector is a significant force in the crypto market. On any given day, the aggregate market capitalization of memecoins can reach tens of billions of dollars. During peak bull cycles, this category has accounted for a material share of the entire non-BTC/ETH crypto economy. This scale is easily visible on data aggregators like CoinGecko and in the dedicated "meme" categories featured on major crypto exchanges.

Where Do Memecoins Live?​

While memecoins can exist on any smart contract platform, a few ecosystems have become dominant hubs.

• Ethereum: As the original smart contract chain, Ethereum hosts many iconic memecoins, from $DOGE-adjacent ERC-20s to tokens like $PEPE. During periods of intense speculative frenzy, the trading activity from these tokens has been known to cause significant spikes in network gas fees, even boosting validator revenue.
• Solana: In 2024 and 2025, Solana became the ground zero for memecoin creation and trading. A Cambrian explosion of new tokens pushed the network to record-breaking fee generation and on-chain volume, birthing viral hits like $BONK and $WIF.
• Base: Coinbase's Layer 2 network has cultivated its own vibrant meme sub-culture, with a growing list of tokens and dedicated community tracking on platforms like CoinGecko.

How a Memecoin Is Born (2025 Edition)​

The technical barrier to launching a memecoin has dropped to near zero. Today, two paths are most common:

1. Classic DEX Launch (EVM or Solana)​

In this model, a creator mints a supply of tokens, creates a liquidity pool (LP) on a decentralized exchange (like Uniswap or Raydium) by pairing the tokens with a base asset (like $ETH, $SOL, or $USDC), and then markets the token with a story or meme. The primary risks here hinge on who controls the token contract (e.g., can they mint more?) and the LP tokens (e.g., can they pull the liquidity?).

2. Bonding-Curve “Factory” (e.g., pump.fun on Solana)​

This model, which surged in popularity on Solana, standardizes and automates the launch process. Anyone can instantly launch a token with a fixed supply (often one billion) onto a linear bonding curve. The price is automatically quoted based on how much has been bought. Once the token reaches a certain market cap threshold, it "graduates" to a major DEX like Raydium, where the liquidity is automatically created and locked. This innovation dramatically lowered the technical barrier, shaping the culture and accelerating the pace of launches.

Why builders care: These new launchpads compress what used to be days of work into minutes. The result is massive, unpredictable traffic spikes that hammer RPC nodes, clog mempools, and challenge indexers. At their peak, these memecoin launches on Solana generated transaction volumes that matched or exceeded all previous network records.

Where "Value" Comes From​

Memecoin value is a function of social dynamics, not financial modeling. It typically derives from three sources:

• Attention Gravity: Memes, celebrity endorsements, or viral news stories act as powerful magnets for attention and, therefore, liquidity. In 2024–2025, tokens themed around celebrities and political figures saw massive, albeit often short-lived, trading flows, particularly on Solana DEXs.
• Coordination Games: A strong community can rally around a narrative, a piece of art, or a collective stunt. This shared belief can create powerful reflexive price movements, where buying begets more attention, which begets more buying.
• Occasional Utility Add-Ons: Some successful memecoin projects attempt to "bolt on" utility after gaining traction, introducing swaps, Layer 2 chains, NFT collections, or games. However, the vast majority remain purely speculative, trade-only assets.

The Risks You Can’t Ignore​

The memecoin space is rife with dangers. Understanding them is non-negotiable.

Contract and Control Risk​

• Mint/Freeze Authority: Can the original creator mint an infinite supply of new tokens, diluting holders to zero? Can they freeze transfers, trapping your funds?
• Ownership/Upgrade Rights: A contract with "renounced" ownership, where the admin keys are burned, reduces this risk but doesn't eliminate it entirely. Proxies or other hidden functions can still pose a threat.

Liquidity Risk​

• Locked Liquidity: Is the initial liquidity pool locked in a smart contract for a period of time? If not, the creator can perform a "rug pull" by removing all the valuable assets from the pool, leaving the token worthless. Thin liquidity also means high slippage on trades.

Presales and Soft Rugs​

• Even without a malicious contract, many projects fail. Teams can abandon a project after raising funds in a presale, or insiders can slowly dump their large allocations on the market. The infamous $SLERF launch on Solana showed how even an accidental mistake (like burning the LP tokens) can vaporize millions while paradoxically creating a volatile trading environment.

Market and Operational Risk​

• Extreme Volatility: Prices can swing 90%+ in either direction within minutes. Furthermore, the network effects of a frenzy can be costly. During $PEPE's initial surge, Ethereum gas fees skyrocketed, making transactions prohibitively expensive for late buyers.

Scams and Legal Exposure​

• Rug pulls, pump-and-dumps, phishing links disguised as airdrops, and fake celebrity endorsements are everywhere. Study how common scams work to protect yourself. This content does not constitute legal or investment advice.

A 5-Minute Memecoin Checklist (DYOR in Practice)​

Before interacting with any memecoin, run through this basic due diligence checklist:

1. Supply Math: What is the total supply vs. the circulating supply? How much is allocated to the LP, the team, or a treasury? Are there any vesting schedules?
2. LP Health: Is the liquidity pool locked? For how long? What percentage of the total supply is in the LP? Use a blockchain explorer to verify these details on-chain.
3. Admin Powers: Can the contract owner mint new tokens, pause trading, blacklist wallets, or change transaction taxes? Has ownership been renounced?
4. Distribution: Check the holder distribution. Is the supply concentrated in a few wallets? Look for signs of bot clusters or insider wallets that received large, early allocations.
5. Contract Provenance: Is the source code verified on-chain? Does it use a standard, well-understood template, or is it full of custom, unaudited code? Beware of honeypot patterns designed to trap funds.
6. Liquidity Venues: Where does it trade? Is it still on a bonding curve, or has it graduated to a major DEX or CEX? Check the slippage for the trade size you are considering.
7. Narrative Durability: Does the meme have genuine cultural resonance, or is it a fleeting joke destined to be forgotten by next week?

What Memecoins Do to Blockchains (and Infra)​

Memecoin frenzies are a powerful stress test for blockchain infrastructure.

• Fee and Throughput Spikes: Sudden, intense demand for blockspace stresses RPC gateways, indexers, and validator nodes. In March 2024, Solana recorded its highest-ever daily fees and billions in on-chain volume, driven almost entirely by a memecoin surge. Infrastructure teams must plan capacity for these events.
• Liquidity Migration: Capital rapidly concentrates around a few hot DEXs and launchpads, reshaping Miner Extractable Value (MEV) and order-flow patterns on the network.
• User Onboarding: For better or worse, memecoin waves often serve as the first point of contact for new crypto users, who may later explore other dApps in the ecosystem.

Canonical Examples (For Context, Not Endorsement)​

• $DOGE: The original (2013). A proof-of-work currency that still trades primarily on its brand recognition and cultural significance.
• $SHIB: An Ethereum ERC-20 token that evolved from a simple meme into a large, community-driven ecosystem with its own swap and L2.
• $PEPE: A 2023 phenomenon on Ethereum whose explosive popularity significantly impacted on-chain economics for validators and users.
• BONK & WIF (Solana): Emblematic of the 2024-2025 Solana wave. Their rapid rise and subsequent listings on major exchanges catalyzed massive activity on the network.

For Builders and Teams​

If you must launch, default to fairness and safety:

• Provide clear and honest disclosures. No hidden mints or team allocations.
• Lock a meaningful portion of the liquidity pool and publish proof of the lock.
• Avoid presales unless you have the operational security to administer them safely.
• Plan your infrastructure. Prepare for bot activity, rate-limit abuse, and have a clear communication plan for volatile periods.

If you integrate memecoins into your dApp, sandbox flows and protect users:

• Display prominent warnings about contract risks and thin liquidity.
• Clearly show slippage and price impact estimates before a user confirms a trade.
• Expose key metadata—like supply figures and admin rights—directly in your UI.

For Traders​

• Treat position sizing like leverage: use only a small amount of capital you are fully prepared to lose.
• Plan your entry and exit points before you trade. Do not let emotion drive your decisions.
• Automate your security hygiene. Use hardware wallets, regularly review token approvals, use allow-listed RPCs, and practice identifying phishing attempts.
• Be extremely cautious of spikes caused by celebrity or political news. These are often highly volatile and revert quickly.

Quick Glossary​

• Bonding Curve: An automated mathematical formula that sets a token's price as a function of its purchased supply. Common in pump.fun launches.
• LP Lock: A smart contract that time-locks liquidity pool tokens, preventing the project creator from removing liquidity and "rugging" the project.
• Renounced Ownership: The act of surrendering the admin keys to a smart contract, which reduces (but doesn't entirely eliminate) the risk of malicious changes.
• Graduation: The process of a token moving from an initial bonding curve launchpad to a public DEX with a permanent, locked liquidity pool.

Sources & Further Reading​

• Binance Academy: "What Are Meme Coins?" and "Rug pull" definitions.
• Wikipedia & Binance Academy: DOGE and SHIB origins.
• CoinGecko: Live memecoin market statistics by sector.
• CoinDesk: Reporting on Solana fee spikes, PEPE’s impact on Ethereum, and the SLERF case study.
• Decrypt & Wikipedia: Explanations of pump.fun mechanics and its cultural impact.
• Investopedia: Overview of common crypto scams and defenses.

Disclosure: This post is for educational purposes and is not investment advice. Crypto assets are extremely volatile. Always verify data on-chain and from multiple sources before making any decisions.

Introduction​

Announced for public launch on May 3rd, 2023, after an extensive three-wave testnet, the Sui blockchain introduced an innovative gas pricing system designed to benefit both users and validators. At its heart is the Reference Gas Price (RGP), a network-wide baseline gas fee that validators agree upon at the start of each epoch (approximately 24 hours).

This system aims to create a mutually beneficial ecosystem for SUI token holders, validators, and end-users by providing low, predictable transaction costs while simultaneously rewarding validators for performant and reliable behavior. This report provides a deep dive into how the RGP is determined, the calculations validators perform, its impact on the network economy, its evolution through governance, and how it compares to other blockchain gas models.

The Reference Gas Price (RGP) Mechanism​

Sui’s RGP is not a static value but is re-established each epoch through a dynamic, validator-driven process.

• The Gas Price Survey: At the beginning of each epoch, every validator submits their "reservation price"—the minimum gas price they are willing to accept for processing transactions. The protocol then orders these submissions by stake and sets the RGP for that epoch at the stake-weighted 2/3 percentile. This design ensures that validators representing a supermajority (at least two-thirds) of the total stake are willing to process transactions at this price, guaranteeing a reliable level of service.

• Update Cadence and Requirements: While the RGP is set each epoch, validators are required to actively manage their quotes. According to official guidance, validators must update their gas price quote at least once a week. Furthermore, if there is a significant change in the value of the SUI token, such as a fluctuation of 20% or more, validators must update their quote immediately to ensure the RGP accurately reflects current market conditions.

• The Tallying Rule and Reward Distribution: To ensure validators honor the agreed-upon RGP, Sui employs a "tallying rule." Throughout an epoch, validators monitor each other’s performance, tracking whether their peers are promptly processing RGP-priced transactions. This monitoring results in a performance score for each validator. At the end of the epoch, these scores are used to calculate a reward multiplier that adjusts each validator's share of the stake rewards.

  • Validators who performed well receive a multiplier of ≥1, boosting their rewards.
  • Validators who stalled, delayed, or failed to process transactions at the RGP receive a multiplier of <1, effectively slashing a portion of their earnings.

This two-part system creates a powerful incentive structure. It discourages validators from quoting an unrealistically low price they can't support, as the financial penalty for underperformance would be severe. Instead, validators are motivated to submit the lowest price they can sustainably and efficiently handle.

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Validator Operations: Calculating the Gas Price Quote​

From a validator's perspective, setting the RGP quote is a critical operational task that directly impacts profitability. It requires building data pipelines and automation layers to process a number of inputs from both on-chain and off-chain sources. Key inputs include:

• Gas units executed per epoch
• Staking rewards and subsidies per epoch
• Storage fund contributions
• The market price of the SUI token
• Operational expenses (hardware, cloud hosting, maintenance)

The goal is to calculate a quote that ensures net rewards are positive. The process involves several key formulas:

1. Calculate Total Operational Cost: This determines the validator's expenses in fiat currency for a given epoch.

   $$\text{Cost}_{\text{epoch}} = (\text{Total Gas Units Executed}_{\text{epoch}}) \times (\text{Cost in USD per Gas Unit}_{\text{epoch}})$$

2. Calculate Total Rewards: This determines the validator's total revenue in fiat currency, sourced from both protocol subsidies and transaction fees.

   $$\text{USD Rewards}_{\text{epoch}} = (\text{Total Stake Rewards in SUI}_{\text{epoch}}) \times (\text{SUI Token Price})$$

   Where Total Stake Rewards is the sum of any protocol-provided Stake Subsidies and the Gas Fees collected from transactions.

3. Calculate Net Rewards: This is the ultimate measure of profitability for a validator.

   $$\text{USD Net Rewards}_{\text{epoch}} = \text{USD Rewards}_{\text{epoch}} - \text{USD Cost}_{\text{epoch}}$$

   By modeling their expected costs and rewards at different RGP levels, validators can determine an optimal quote to submit to the Gas Price Survey.

Upon mainnet launch, Sui set the initial RGP to a fixed 1,000 MIST (1 SUI = 10⁹ MIST) for the first one to two weeks. This provided a stable operating period for validators to gather sufficient network activity data and establish their calculation processes before the dynamic survey mechanism took full effect.

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Impact on the Sui Ecosystem​

The RGP mechanism profoundly shapes the economics and user experience of the entire network.

• For Users: Predictable and Stable Fees: The RGP acts as a credible anchor for users. The gas fee for a transaction follows a simple formula: User Gas Price = RGP + Tip. In normal conditions, no tip is needed. During network congestion, users can add a tip to gain priority, creating a fee market without altering the stable base price within the epoch. This model provides significantly more fee stability than systems where the base fee changes with every block.

• For Validators: A Race to Efficiency: The system fosters healthy competition. Validators are incentivized to lower their operating costs (through hardware and software optimization) to be able to quote a lower RGP profitably. This "race to efficiency" benefits the entire network by driving down transaction costs. The mechanism also pushes validators toward balanced profit margins; quoting too high risks being priced out of the RGP calculation, while quoting too low leads to operational losses and performance penalties.

• For the Network: Decentralization and Sustainability: The RGP mechanism helps secure the network's long-term health. The "threat of entry" from new, more efficient validators prevents existing validators from colluding to keep prices high. Furthermore, by adjusting their quotes based on the SUI token's market price, validators collectively ensure their operations remain sustainable in real-world terms, insulating the network's fee economy from token price volatility.

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Governance and System Evolution: SIP-45​

Sui's gas mechanism is not static and evolves through governance. A prominent example is SIP-45 (Prioritized Transaction Submission), which was proposed to refine fee-based prioritization.

• Issue Addressed: Analysis showed that simply paying a high gas price did not always guarantee faster transaction inclusion.
• Proposed Changes: The proposal included increasing the maximum allowable gas price and introducing an "amplified broadcast" for transactions paying significantly above the RGP (e.g., ≥5x RGP), ensuring they are rapidly disseminated across the network for priority inclusion.

This demonstrates a commitment to iterating on the gas model based on empirical data to improve its effectiveness.

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Comparison with Other Blockchain Gas Models​

Sui's RGP model is unique, especially when contrasted with Ethereum's EIP-1559.

Aspect	Sui (Reference Gas Price)	Ethereum (EIP-1559)
Base Fee Determination	Validator survey each epoch (market-driven).	Algorithmic each block (protocol-driven).
Frequency of Update	Once per epoch (~24 hours).	Every block (~12 seconds).
Fee Destination	All fees (RGP + tip) go to validators.	Base fee is burned; only the tip goes to validators.
Price Stability	High. Predictable day-over-day.	Medium. Can spike rapidly with demand.
Validator Incentives	Compete on efficiency to set a low, profitable RGP.	Maximize tips; no control over the base fee.

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Potential Criticisms and Challenges​

Despite its innovative design, the RGP mechanism faces potential challenges:

• Complexity: The system of surveys, tallying rules, and off-chain calculations is intricate and may present a learning curve for new validators.
• Slow Reaction to Spikes: The RGP is fixed for an epoch and cannot react to sudden, mid-epoch demand surges, which could lead to temporary congestion until users begin adding tips.
• Potential for Collusion: In theory, validators could collude to set a high RGP. This risk is primarily mitigated by the competitive nature of the permissionless validator set.
• No Fee Burn: Unlike Ethereum, Sui recycles all gas fees to validators and the storage fund. This rewards network operators but does not create deflationary pressure on the SUI token, a feature some token holders value.

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Frequently Asked Questions (FAQ)​

Why stake SUI? Staking SUI secures the network and earns rewards. Initially, these rewards are heavily subsidized by the Sui Foundation to compensate for low network activity. These subsidies decrease by 10% every 90 days, with the expectation that rewards from transaction fees will grow to become the primary source of yield. Staked SUI also grants voting rights in on-chain governance.

Can my staked SUI be slashed? Yes. While parameters are still being finalized, "Tally Rule Slashing" applies. A validator who receives a zero performance score from 2/3 of its peers (due to low performance, malicious behavior, etc.) will have its rewards slashed by a to-be-determined amount. Stakers can also miss out on rewards if their chosen validator has downtime or quotes a suboptimal RGP.

Are staking rewards automatically compounded? Yes, staking rewards on Sui are automatically distributed and re-staked (compounded) every epoch. To access rewards, you must explicitly unstake them.

What is the Sui unbonding period? Initially, stakers can unbond their tokens immediately. An unbonding period where tokens are locked for a set time after unstaking is expected to be implemented and will be subject to governance.

Do I maintain custody of my SUI tokens when staking? Yes. When you stake SUI, you delegate your stake but remain in full control of your tokens. You never transfer custody to the validator.

TL;DR​

Ethereum just got two powerful primitives that push user experience past seed phrases and bookmarkable dapps toward “clickable on-chain experiences.”

• ERC-4337 brings account abstraction to today’s Ethereum without core protocol changes. This makes features like smart contract accounts, gas sponsorship, batched calls, and passkey-style authentication native to wallets.
• ERC-4804 introduces web3:// URLs—human-readable links that resolve directly to contract read calls and can even render on-chain HTML or SVG, all without a traditional web server acting as a middleman. Think of it as “HTTP for the EVM.”

When used together, ERC-4337 handles actions, while ERC-4804 handles addresses. This combination allows you to share a link that verifiably pulls its user interface from a smart contract. When a user is ready to act, the flow hands off to a smart account that can sponsor gas and batch multiple steps into a single, seamless click.

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Why This Matters Now​

This isn't just a theoretical future; these technologies are live and gaining significant traction. ERC-4337 is already scaled and proven in the wild. The canonical EntryPoint contract was deployed on the Ethereum mainnet on March 1, 2023, and has since powered tens of millions of smart contract accounts and processed over 100 million user operations.

Simultaneously, the core protocol is converging with these ideas. The Pectra upgrade, shipped in May 2025, included EIP-7702, which allows standard externally owned accounts (EOAs) to temporarily behave like smart accounts. This complements ERC-4337 by easing the transition for existing users, rather than replacing the standard.

On the addressing front, web3:// is now formalized. ERC-4804 specifies exactly how a URL translates into an EVM call, and web3 has been listed by IANA as a provisional URI scheme. The tooling and gateways needed to make these URLs practical are now available, turning on-chain data into shareable, linkable resources.

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Primer: ERC-4337 in One Page​

At its core, ERC-4337 introduces a parallel transaction rail to Ethereum, built for flexibility. Instead of traditional transactions, users submit UserOperation objects into an alternative mempool. These objects describe what the account wants to do. Specialized nodes called "Bundlers" pick up these operations and execute them through a global EntryPoint contract.

This enables three key components:

1. Smart Contract Accounts (SCAs): These accounts contain their own logic. They define what makes a transaction valid, allowing for custom signature schemes (like passkeys or multisig), session keys for games, spending limits, and social recovery mechanisms. The account, not the network, enforces the rules.
2. Paymasters: These special contracts can sponsor gas fees for users or allow them to pay in ERC-20 tokens. This is the key to unlocking true “no-ETH-in-wallet” onboarding and creating one-click experiences by batching multiple calls into a single operation.
3. DoS Safety & Rules: The public ERC-4337 mempool is protected by standardized off-chain validation rules (defined in ERC-7562) that prevent Bundlers from wasting resources on operations that are destined to fail. While alternative mempools can exist for specialized use cases, these shared rules keep the ecosystem coherent and secure.

Mental model: ERC-4337 turns wallets into programmable apps. Instead of just signing raw transactions, users submit "intents" that their account's code validates and the EntryPoint contract executes—safely and atomically.

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Primer: ERC-4804 in One Page​

ERC-4804 provides a simple, direct mapping from a web3:// URL to a read-only EVM call. The URL grammar is intuitive: web3://<name-or-address>[:chainId]/<method>/<arg0>?returns=(types). Names can be resolved via systems like ENS, and arguments are automatically typed based on the contract's ABI.

Here are a couple of examples:

• web3://uniswap.eth/ would call the contract at the uniswap.eth address with empty calldata.
• web3://.../balanceOf/vitalik.eth?returns=(uint256) would ABI-encode a call to the balanceOf function with Vitalik's address and return a properly typed JSON result.

Crucially, this standard is currently for read-only calls (equivalent to Solidity's view functions). Any action that changes state still requires a transaction—which is exactly where ERC-4337 or EIP-7702 come in. With web3 registered as a provisional URI scheme with IANA, the path is paved for native browser and client support, though for now, it often relies on extensions or gateways.

Mental model: ERC-4804 turns on-chain resources into linkable web objects. “Share this contract view as a URL” becomes as natural as sharing a link to a dashboard.

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Together: "Clickable On-chain Experiences"​

Combining these two standards unlocks a powerful new pattern for building decentralized applications today.

First, you deliver a verifiable UI via web3://. Instead of hosting your frontend on a centralized server like S3, you can store a minimal HTML or SVG interface directly on-chain. A link like web3://app.eth/render allows a client to resolve the URL and render the UI directly from the contract, ensuring the user sees exactly what the code dictates.

From that verifiable interface, you can trigger a one-click action via ERC-4337. A "Mint" or "Subscribe" button can compile a UserOperation that a paymaster sponsors. The user approves with a passkey or a simple biometric prompt, and the EntryPoint contract executes a batched call that deploys their smart account (if it's their first time) and completes the desired action in a single, atomic step.

This creates a seamless deep-link handoff. The UI can embed intent-based links that are handled directly by the user's wallet, eliminating the need to send them to an external site they may not trust. The content is the contract, and the action is the account.

This unlocks:

• Gasless trials and "just works" onboarding: New users don't need to acquire ETH to get started. Your application can sponsor their first few interactions, dramatically reducing friction.
• Shareable state: A web3:// link is a query into the blockchain's state. This is perfect for dashboards, proofs of ownership, or any content that must be verifiably tamper-evident.
• Agent-friendly flows: AI agents can fetch verifiable state via web3:// URLs and submit transactional intents through ERC-4337 using scoped session keys, all without brittle screen scraping or insecure private key handling.

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Design Notes for Builders​

When implementing these standards, there are a few architectural choices to consider. For ERC-4337, it's wise to start with minimal smart contract account templates and add capabilities through guarded modules to keep the core validation logic simple and secure. Your paymaster policy should be robust, with clear caps on sponsored gas and whitelists for approved methods to prevent griefing attacks.

For ERC-4804, prioritize human-readable links by using ENS names. Be explicit about chainId to avoid ambiguity and include the returns=(…) parameter to ensure clients receive typed, predictable responses. While you can render full UIs, it’s often best to keep on-chain HTML/SVG minimal, using them as verifiable shells that can fetch heavier assets from decentralized storage like IPFS.

Finally, remember that EIP-7702 and ERC-4337 work together, not against each other. With EIP-7702 now active in the Pectra upgrade, existing EOA users can delegate actions to contract logic without deploying a full smart account. The tooling in the account abstraction ecosystem is already aligning to support this, smoothing the migration path for everyone.

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Security, Reality, and Constraints​

While powerful, these systems have trade-offs. The EntryPoint contract is a central chokepoint by design; it simplifies the security model but also concentrates risk. Always stick to audited, canonical versions. The mempool validation rules from ERC-7562 are a social convention, not an on-chain enforced rule, so don't assume every alternative mempool offers the same censorship resistance or DoS protection.

Furthermore, web3:// is still maturing. It remains a read-only standard, and any write operation requires a transaction. While the protocol itself is decentralized, the gateways and clients that resolve these URLs can still be potential points of failure or censorship. True "unblockability" will depend on widespread native client support.

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A Concrete Blueprint​

Imagine you want to build an NFT-powered membership club with a shareable, verifiable UI and a one-click join process. Here’s how you could ship it this quarter:

1. Share the UI: Distribute a link like web3://club.eth/home. When a user opens it, their client resolves the URL, calls the contract, and renders an on-chain UI that displays the current member allowlist and mint price.
2. One-Click Join: The user clicks a "Join" button. Their wallet compiles an ERC-4337 UserOperation that is sponsored by your paymaster. This single operation batches three calls: deploying the user's smart account (if they don't have one), paying the mint fee, and registering their profile data.
3. Verifiable Receipt: After the transaction confirms, the user is shown a confirmation view that is just another web3:// link, like web3://club.eth/receipt/<tokenId>, creating a permanent, on-chain link to their membership proof.

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The Bigger Arc​

These two standards signal a fundamental shift in how we build on Ethereum. Accounts are becoming software. ERC-4337 and EIP-7702 are turning "wallet UX" into a space for real product innovation, moving us beyond lectures about key management. At the same time, links are becoming queries. ERC-4804 restores the URL as a primitive for addressing verifiable facts on-chain, not just the frontends that proxy them.

Together, they shrink the gap between what users click and what contracts do. That gap was once filled by centralized web servers and trust assumptions. Now, it can be filled by verifiable code paths and open, permissionless mempools.

If you're building consumer crypto applications, this is your chance to make the user's first minute delightful. Share a link, render the truth, sponsor the first action, and keep your users inside a verifiable loop. The rails are here—now it's time to ship the experiences.

Introduction​

Rollups-as-a-Service (RaaS) and modular blockchain frameworks have become critical in 2025 for scaling Ethereum and building custom blockchains. Leading frameworks – Optimism’s OP Stack, zkSync’s ZK Stack (Hyperchains), Arbitrum Orbit, Polygon’s Chain Development Kit (CDK), and related solutions – allow developers to launch their own Layer-2 (L2) or Layer-3 (L3) chains with varying approaches (optimistic vs zero-knowledge). These frameworks share a philosophy of modularity: they separate concerns like execution, settlement, data availability, and consensus, enabling customization of each component. This report compares the frameworks across key dimensions – data availability options, sequencer design, fee models, ecosystem support – and examines their architecture, tooling, developer experience, and current adoption in both public and enterprise contexts.

Comparison Overview​

The table below summarizes several core features of each framework:

Aspect	OP Stack (Optimism)	ZK Stack (zkSync)	Arbitrum Orbit	Polygon CDK (AggLayer)
Rollup Type	Optimistic Rollup	Zero-Knowledge (Validity)	Optimistic Rollup	Zero-Knowledge (Validity)
Proof System	Fault proofs (fraud proofs)	ZK-SNARK validity proofs	Fault proofs (fraud proofs)	ZK-SNARK validity proofs
EVM Compatibility	EVM-equivalent (geth)	High – zkEVM (LLVM-based)	EVM-equivalent (Arbitrum Nitro) + WASM via Stylus	Polygon zkEVM (EVM-equivalent)
Data Availability	Ethereum L1 (on-chain); pluggable Alt-DA modules (Celestia, etc.)	Ethereum L1; also Validium options off-chain (Celestia, Avail, EigenDA)	Ethereum L1 (rollup) or AnyTrust committee (off-chain DAC); supports Celestia, Avail	Ethereum L1 (rollup) or off-chain (validium via Avail or Celestia); hybrid possible
Sequencer Design	Single sequencer (default); multi-sequencer possible with customization. Shared sequencer vision for Superchain (future).	Configurable: can be centralized or decentralized; priority L1 queue supported.	Configurable: single operator or decentralized validators.	Flexible: single sequencer or multiple validators (e.g. PoS committee).
Sequencer Access	Centralized today (each OP chain’s sequencer is run by its operator); not permissionless yet. Plans for a shared, permissionless sequencer network among OP Chains. L1 backup queue allows trustless tx submission if sequencer fails.	zkSync Era uses a centralized sequencer (Matter Labs), but ZK Stack allows custom sequencer logic (even external consensus). Priority L1 sequencing supported for fairness. Decentralized sequencer options under development.	Arbitrum One uses a centralized sequencer (Offchain Labs), with failover via L1 inbox. Arbitrum Orbit chains can run their own sequencer (initially centralized) or institute a validator set. BoLD upgrade (2025) enables permissionless validation to decentralize Orbit chains.	Polygon zkEVM began with a single sequencer (Polygon Labs). CDK allows launching a chain with a permissioned validator set or other consensus for decentralization. Many CDK chains start centralized for simplicity, with roadmap for later community-run sequencers.
Fee Token	ETH by default on OP-based L2s (to ease UX). Custom gas token technically supported, but most OP Chains opt for ETH or a standard token for interoperability. (OP Stack’s recent guidance favors common tokens across the Superchain).	Custom base tokens are supported – developers can choose ETH or any ERC-20 as the native gas. (This flexibility enables project-specific economies on zkSync-based chains.)	Custom gas token supported (upgrade in late 2023). Chains may use ETH, Arbitrum’s ARB, or their own token for fees. Example: Ape Chain uses APE as gas.	Custom native token is supported. Many Polygon CDK chains use MATIC or another token as gas. Polygon’s ecosystem encourages MATIC for cross-chain consistency, but it’s not required.
Fee Model & Costs	Users pay L2 gas (collected by sequencer) plus L1 data posting costs. The sequencer must post transaction data (calldata or blobs) to Ethereum, so a portion of fees covers L1 gas. Revenue sharing: OP Chains in the Superchain commit ~2.5% of revenue to Optimism Collective (funding public goods).	Users pay fees (often in ETH or chosen token) which cover L1 proof verification and data. No protocol-level “tax” on fees – each chain’s sequencer keeps revenue to incentivize operators. ZK prover costs are a factor: operators might charge slightly higher fees or use efficient provers to manage costs. Finality is fast (no delay), so users don’t need third-party fast exits.	Users pay gas (in ETH or chain’s token) covering L2 execution + L1 batch cost. Sequencers/validators retain the fee revenue; no mandatory revenue-share to Arbitrum DAO or L1 (aside from L1 gas costs). To avoid the optimistic 7-day delay, many Orbit chains integrate liquidity providers or official fast-withdrawal bridges (Arbitrum supports 15-min fast exits on some Orbit chains via liquidity networks).	Users pay gas fees which cover proving and posting costs. Sequencers or validators earn those fees; Polygon does not impose any rent or tax on CDK chain revenue. Using off-chain DA (validium mode) can cut fees by >100× (storing data on Celestia or Avail instead of Ethereum), at the cost of some trust assumptions.

Table: High-level comparison of key technical features of OP Stack, zkSync’s ZK Stack, Arbitrum Orbit, and Polygon CDK.

Data Availability Layers​

Data Availability (DA) is where rollups store their transaction data so that anyone can reconstruct the chain’s state. All these frameworks support using Ethereum L1 as a DA (posting calldata or blob data on Ethereum for maximum security). However, to reduce costs, they also allow alternative DA solutions:

• OP Stack: By default, OP chains publish data on Ethereum (as calldata or blobs). Thanks to a modular “Alt-DA” interface, OP Stack chains can plug into other DA layers easily. For example, an OP chain could use Celestia (a dedicated DA blockchain) instead of Ethereum. In 2023 OP Labs and Celestia released a beta where an OP Stack rollup settles on Ethereum but stores bulk data on Celestia. This reduces fees while inheriting Celestia’s data availability guarantees. In general, any EVM or non-EVM chain – even Bitcoin or a centralized store – can be configured as the DA layer in OP Stack. (Of course, using a less secure DA trades off some security for cost.) Ethereum remains the predominant choice for production OP chains, but projects like Caldera’s Taro testnet have demonstrated OP Stack with Celestia DA.

• ZK Stack (zkSync Hyperchains): The ZK Stack offers both rollup and validium modes. In rollup mode, all data is on-chain (Ethereum). In validium mode, data is kept off-chain (with only validity proofs on-chain). Matter Labs is integrating Avail, Celestia, and EigenDA as first-class DA options for ZK Stack chains. This means a zkSync Hyperchain could post transaction data to Celestia or an EigenLayer-powered network instead of L1, massively increasing throughput. They even outline volition, where a chain can decide per-transaction whether to treat it as a rollup (on-chain data) or validium (off-chain). This flexibility allows developers to balance security and cost. For example, a gaming hyperchain might use Celestia to cheaply store data, while relying on Ethereum for periodic proofs. The ZK Stack’s design makes DA pluggable via a DA client/dispatcher component in the node software. Overall, Ethereum remains default, but zkSync’s ecosystem strongly emphasizes modular DA to achieve “hyperscale” throughput.

• Arbitrum Orbit: Orbit chains can choose between Arbitrum’s two data modes: rollup (data posted on Ethereum) or AnyTrust (data availability committee). In Rollup configuration, an Orbit L3 will post its call data to the L2 (Arbitrum One or Nova) or L1, inheriting full security at higher cost. In AnyTrust mode, data is kept off-chain by a committee (as used in Arbitrum Nova, which uses a Data Availability Committee). This greatly lowers fees for high-volume apps (gaming, social) at the cost of trusting a committee (if all committee members collude to withhold data, the chain could halt). Beyond these, Arbitrum is also integrating with emerging modular DA networks. Notably, Celestia and Polygon Avail are supported for Orbit chains as alternative DA layers. Projects like AltLayer have worked on Orbit rollups that use EigenDA (EigenLayer’s DA service) as well. In summary, Arbitrum Orbit offers flexible data availability: on-chain via Ethereum, off-chain via DACs or specialized DA chains, or hybrids. Many Orbit adopters choose AnyTrust for cost savings, especially if they have a known set of validators or partners ensuring data is available.

• Polygon CDK: Polygon’s CDK is inherently modular with respect to DA. A Polygon CDK chain can operate as a rollup (all data on Ethereum) or a validium (data on a separate network). Polygon has its own DA solution called Avail (a blockchain for data availability), and CDK chains can use Avail or any similar service. In late 2024, Polygon announced direct integration of Celestia into CDK – making Celestia an “easily-pluggable” DA option in the toolkit. This integration is expected in early 2024, enabling CDK chains to store compressed data on Celestia seamlessly. Polygon cites that using Celestia could reduce transaction fees by >100× compared to posting all data on Ethereum. Thus, a CDK chain creator can simply toggle the DA module to Celestia (or Avail) instead of Ethereum. Some Polygon chains (e.g. Polygon zkEVM) currently post all data to Ethereum (for maximal security), while others (perhaps certain enterprise chains) run as validiums with external DA. The CDK supports “hybrid” modes as well – for instance, critical transactions could go on Ethereum while others go to Avail. This modular DA approach aligns with Polygon’s broader Polygon 2.0 vision of multiple ZK-powered chains with unified liquidity but varied data backends.

In summary, all frameworks support multiple DA layers to various degrees. Ethereum remains the gold standard DA (especially with blob space from EIP-4844 making on-chain data cheaper), but new specialized DA networks (Celestia, Avail) and schemes (EigenLayer’s EigenDA, data committees) are being embraced across the board. This modularity allows rollup creators in 2025 to make trade-offs between cost and security by simply configuring a different DA module rather than building a new chain from scratch.

Sequencer Design and Decentralization​

The sequencer is the node (or set of nodes) that orders transactions and produces blocks for a rollup. How the sequencer is designed – centralized vs decentralized, permissionless vs permissioned – affects the chain’s throughput and trust assumptions:

• OP Stack (Optimism): Today, most OP Stack chains run a single sequencer operated by the chain’s core team or sponsor. For example, Optimism Mainnet’s sequencer is run by OP Labs, and Base’s sequencer is run by Coinbase. This yields low latency and simplicity at the cost of centralization (users must trust the sequencer to include their transactions fairly). However, Optimism has built in mechanisms for trust-minimization: there is an L1 transaction queue contract where users can submit transactions on Ethereum which the sequencer must include in the L2 chain. If the sequencer goes down or censors txs, users can rely on L1 to eventually get included (albeit with some delay). This provides a safety valve against a malicious or failed sequencer. In terms of decentralization, OP Stack is modular and theoretically allows multiple sequencers – e.g. one could implement a round-robin or proof-of-stake based block proposer set using the OP Stack code. In practice, this requires customization and is not the out-of-the-box configuration. The long-term Superchain roadmap envisions a shared sequencer for all OP Chains, which would be a set of validators sequencing transactions for many chains at once. A shared sequencer could enable cross-chain atomicity and reduce MEV across the Superchain. It’s still in development as of 2025, but the OP Stack’s design does not preclude plugging in such a consensus. For now, sequencer operations remain permissioned (run by whitelisted entities), but Optimism governance plans to decentralize this (possibly via staking or committee rotation) once the technology and economics are ready. In short: OP Stack chains start with centralized sequencing (with L1 as fallback), and a path to gradual decentralization is charted (moving from “Stage 0” to “Stage 2” maturity with no training wheels).

• ZK Stack (zkSync Hyperchains): zkSync Era (the L2) currently uses a centralized sequencer operated by Matter Labs. However, the ZK Stack is built to allow various sequencing modes for new chains. Options include a centralized sequencer (easy start), a decentralized sequencer set (e.g. multiple nodes reaching consensus on ordering), a priority transaction queue from L1, or even an external sequencer service. In Matter Labs’ Elastic Chains vision, chains remain independent but interoperability is handled by the L1 contracts and a “ZK Router/Gateway” – this implies each chain can choose its own sequencer model as long as it meets the protocols for submitting state roots and proofs. Because ZK-rollups don’t require a consensus on L2 for security (validity proofs ensure correctness), decentralizing the sequencer is more about liveness and censorship-resistance. A Hyperchain could implement a round-robin block producer or even hook into a high-performance BFT consensus for its sequencers if desired. That said, running a single sequencer is far simpler and remains the norm initially. The ZK Stack docs mention that a chain could use an “external protocol” for sequencing – for instance, one could imagine using Tendermint or SU consensus as the block producer and then generating zk proofs for the blocks. Also, like others, zkSync has an L1 priority queue mechanism: users can send transactions to the zkSync contract with a priority fee to guarantee L1->L2 inclusion in a timely manner (mitigating censorship). Overall, permissionless participation in sequencing is not yet realized on zkSync chains (no public slot auction or staking-based sequencer selection in production), but the architecture leaves room for it. As validity proofs mature, we might see zkSync chains with community-run sequencer nodes that collectively decide ordering (once performance allows).

• Arbitrum Orbit: On Arbitrum One (the main L2), the sequencer is centralized (run by Offchain Labs), though the chain’s state progression is ultimately governed by the Arbitrum validators and fraud proofs. Arbitrum has similarly provided an L1 queue for users as a backstop against sequencer issues. In Orbit (the L3 framework), each Orbit chain can have its own sequencer or validator set. Arbitrum’s Nitro tech includes the option to run a rollup with a decentralized sequencer: essentially, one could have multiple parties run the Arbitrum node software and use a leader election (possibly via the Arbitrum permissionless proof-of-stake chain in the future, or a custom mechanism). Out of the box, Orbit chains launched to date have been mostly centralized (e.g. the Xai gaming chain is run by a foundation in collaboration with Offchain Labs) – but this is a matter of configuration and governance. A noteworthy development is the introduction of BoLD (Bounded Liquidity Delay) in early 2025, which is a new protocol to make Arbitrum’s validation more permissionless. BoLD allows anyone to become a validator (prover) for the chain, resolving fraud challenges in a fixed time frame without a whitelist. This moves Arbitrum closer to trustless operation, although the sequencer role (ordering transactions day-to-day) might still be assigned or elected. Offchain Labs has expressed focus on advancing decentralization in 2024-2025 for Arbitrum. We also see multi-sequencer efforts: for example, an Orbit chain could use a small committee of known sequencers to get some fault tolerance (one goes down, another continues). Another angle is the idea of a shared sequencer for Orbit chains, though Arbitrum hasn’t emphasized this as much as Optimism. Instead, interoperability is achieved via L3s settling on Arbitrum L2 and using standard bridges. In summary, Arbitrum Orbit gives flexibility in sequencer design (from one entity to many), and the trend is toward opening the validator/sequencer set as the tech and community governance matures. Today, it’s fair to say Orbit chains start centralized but have a roadmap for permissionless validation.

• Polygon CDK: Polygon CDK chains (sometimes referred to under the umbrella “AggLayer” in late 2024) can similarly choose their sequencer/consensus setup. Polygon’s zkEVM chain (operated by Polygon Labs) began with a single sequencer and centralized prover, with plans to progressively decentralize both. The CDK, being modular, allows a chain to plug in a consensus module – for instance, one could launch a CDK chain with a Proof-of-Stake validator set producing blocks, effectively decentralizing sequencing from day one. In fact, Polygon’s earlier framework (Polygon Edge) was used for permissioned enterprise chains using IBFT consensus; CDK chains could take a hybrid approach (run Polygon’s zkProver but have a committee of nodes propose blocks). By default, many CDK chains might run with a single operator for simplicity and then later adopt a consensus as they scale. Polygon is also exploring a shared sequencer or aggregator concept through the AggLayer hub, which is intended to connect all Polygon chains. While AggLayer primarily handles cross-chain messaging and liquidity, it could evolve into a shared sequencing service in the future (Polygon co-founder has discussed sequencer decentralization as part of Polygon 2.0). In general, permissionlessness is not yet present – one cannot spontaneously become a sequencer for someone’s CDK chain unless that project allows it. But projects like dYdX V4 (which is building a standalone chain with a form of decentralized consensus) and others show the appetite for validator-based L2s. Polygon CDK makes it technically feasible to have many block producers, but the exact implementation is left to the chain deployer. Expect Polygon to roll out more guidance or even infrastructure for decentralized sequencers as more enterprises and communities launch CDK chains.

To summarize the sequencer comparison: All frameworks currently rely on a relatively centralized sequencer model in their live deployments, to ensure efficiency. However, each provides a route to decentralization – whether via shared sequencing networks (OP Stack), pluggable consensus (CDK, ZK Stack), or permissionless validators (Arbitrum’s BoLD). Table below highlights sequencer designs:

Sequencer Design	OP Stack	ZK Stack (zkSync)	Arbitrum Orbit	Polygon CDK
Default operator model	Single sequencer (project-run)	Single sequencer (Matter Labs or project-run)	Single sequencer (project-run/Offchain Labs)	Single sequencer (project or Polygon-run)
Decentralization options	Yes – can customize consensus, e.g. multiple sequencers or future shared set	Yes – configurable; can integrate external consensus or priority queues	Yes – configurable; can use multi-validator (AnyTrust committee or custom)	Yes – can integrate PoS validators or IBFT consensus (project’s choice)
Permissionless participation	Planned: Superchain shared sequencer (not yet live). Fraud provers are permissionless on L1 (anyone can challenge).	Not yet (no public sequencer auction yet). Validity proofs don’t need challengers. Community can run read-nodes, but not produce blocks unless chosen.	Emerging: BoLD enables anyone to validate fraud proofs. Sequencer still chosen by chain (could be via DAO in future).	Not yet. Sequencers are appointed by chain owners or validators are permissioned/staked. Polygon’s roadmap includes community validation eventually.
Censorship resistance	L1 queue for users ensures inclusion. Training-wheels governance can veto sequencer misconduct.	L1 priority queue for inclusion. Validium mode needs trust in DA committee for data availability.	L1 inbox ensures inclusion if sequencer stalls. DAC mode requires ≥1 honest committee member to supply data.	Depends on chain’s consensus – e.g. if using a validator set, need ≥2/3 honest. Rollup mode fallback is L1 Ethereum inclusion.

As seen, Optimism and Arbitrum include on-chain fallback queues, which is a strong censorship-resistance feature. ZK-based chains rely on the fact that a sequencer can’t forge state (thanks to ZK proofs), but if it censors, a new sequencer could be appointed by governance – an area still being refined. The trend in 2025 is that we’ll likely see more decentralized sequencer pools and possibly shared sequencer networks coming online, complementing these RaaS frameworks. Each project is actively researching this: e.g. Astria and others are building general shared sequencing services, and OP Labs, Polygon, and Offchain have all mentioned plans to decentralize the sequencer role.

Fee Models and Economics​

Fee models determine who pays what in these rollup frameworks and how the economic incentives align for operators and the ecosystem. Key considerations include: What token are fees paid in? Who collects the fees? What costs (L1 posting, proving) must be covered? Are there revenue-sharing or kickback arrangements? How customizable are fee parameters?

• Gas Token and Fee Customization: All compared frameworks allow customizing the native gas token, meaning a new chain can decide which currency users pay fees in. By default, rollups on Ethereum often choose ETH as the gas token for user convenience (users don’t need a new token to use the chain). For instance, Base (OP Stack) uses ETH for gas, as does zkSync Era and Polygon zkEVM. OP Stack technically supports replacing ETH with another ERC-20, but in the context of the OP Superchain, there’s a push to keep a standard (to make interoperability smoother). In fact, some OP Stack chains that initially considered a custom token opted for ETH – e.g., Worldcoin’s OP-chain uses ETH for fees even though the project has its own token WLD. On the other hand, Arbitrum Orbit launched without custom token support but quickly added it due to demand. Now Orbit chains can use ARB or any ERC-20 as gas. The Ape Chain L3 chose APE coin as its gas currency, showcasing this flexibility. Polygon CDK likewise lets you define the token; many projects lean towards using MATIC to align with Polygon’s ecosystem (and MATIC will upgrade to POL token under Polygon 2.0), but it’s not enforced. zkSync’s ZK Stack explicitly supports custom base tokens as well (the docs even have a “Custom base token” tutorial). This is useful for enterprise chains that might want, say, a stablecoin or their own coin for fees. It’s also crucial for app-chains that have their own token economy – they can drive demand for their token by making it the gas token. In summary, fee token is fully configurable in all frameworks, although using a widely-held token like ETH can lower user friction.

• Fee Collection and Distribution: Generally, the sequencer (block producer) collects transaction fees on the L2/L3. This is a primary incentive for running a sequencer. For example, Optimism’s sequencer earns all the gas fees users pay on Optimism, but must then pay for posting batches to Ethereum. Usually, the sequencer will take the user-paid L2 fees, subtract the L1 costs, and keep the remainder as profit. On a well-run chain, L1 costs are a fraction of L2 fees, leaving some profit margin. For ZK-rollups, there’s an extra cost: generating the ZK proof. This can be significant (requiring specialized hardware or cloud compute). Currently, some ZK rollup operators subsidize proving costs (spending VC funds) to keep user fees low during growth phase. Over time, proving costs are expected to drop with better algorithms and hardware. Framework-wise: zkSync and Polygon both allow the sequencer to charge a bit more to cover proving – and if a chain uses an external prover service, they might have a revenue split with them. Notably, no framework except OP Superchain has an enforced revenue-sharing at protocol level. The Optimism Collective’s Standard Rollup Revenue scheme requires OP Chains to remit either 2.5% of gross fees or 15% of net profits (whichever is greater) to a collective treasury. This is a voluntary-but-expected agreement under the Superchain charter, rather than a smart contract enforcement, but all major OP Stack chains (Base, opBNB, Worldcoin, etc.) have agreed to it. Those fees (over 14,000 ETH so far) fund public goods via Optimism’s governance. In contrast, Arbitrum does not charge Orbit chains any fee; Orbit is permissionless to use. Arbitrum DAO could potentially ask for some revenue sharing in the future (to fund its own ecosystem), but none exists as of 2025. Polygon CDK similarly does not impose a tax; Polygon’s approach is to attract users into its ecosystem (thus raising MATIC value and usage) rather than charge per-chain fees. Polygon co-founder Sandeep Nailwal explicitly said AggLayer “does not seek rent” from chains. zkSync also hasn’t announced any fee sharing – Matter Labs likely focuses on growing usage of zkSync Era and hyperchains, which indirectly benefits them via network effects and possibly future token value.

• L1 Settlement Costs: A big part of the fee model is who pays for L1 transactions (posting data or proofs). In all cases, ultimately users pay, but the mechanism differs. In Optimistic rollups, the sequencer periodically posts batches of transactions (with calldata) to L1. The gas cost for those L1 transactions is paid by the sequencer using ETH. However, sequencers factor that into the L2 gas pricing. Optimism and Arbitrum have gas pricing formulas that estimate how much a transaction’s call-data will cost on L1 and include that in the L2 gas fee (often called the “amortized L1 cost” per tx). For example, a simple Optimism tx might incur 21,000 L2 gas for execution and maybe an extra few hundred for L1 data – the user’s fee covers both. If the pricing is misestimated, the sequencer might lose money on that batch or gain if usage is high. Sequencers typically adjust fees dynamically to match L1 conditions (raising L2 fees when L1 gas is expensive). In Arbitrum, the mechanism is similar, though Arbitrum has separate “L1 pricing” and “L2 pricing” components. In zkSync/Polygon (ZK), the sequencer must post a validity proof to L1 (costing a fixed gas amount to verify) plus either call data (if rollup) or state root (if validium). The proof verification cost is usually constant per batch (on zkSync Era it’s on the order of a few hundred thousand gas), so zkSync’s fee model spreads that cost across transactions. They might charge a slight overhead on each tx for proving. Notably, zkSync introduced features like state diffs and compression to minimize L1 data published. Polygon zkEVM likewise uses recursive proofs to batch many transactions into one proof, amortizing the verification cost. If a chain uses an alternative DA (Celestia/Avail), then instead of paying Ethereum for calldata, they pay that DA provider. Celestia, for instance, has its own gas token (TIA) to pay for data blobs. So a chain might need to convert part of fees to pay Celestia miners. Frameworks are increasingly abstracting these costs: e.g., an OP Stack chain could pay a Celestia DA node via an adapter, and include that cost in user fees.

• Costs to Users (Finality and Withdrawal): For optimistic rollups (OP Stack, Arbitrum Orbit in rollup mode), users face the infamous challenge period for withdrawals – typically 7 days on Ethereum L1. This is a usability hit, but most ecosystems have mitigations. Fast bridges (liquidity networks) allow users to swap their L2 tokens for L1 tokens instantly for a small fee, while arbitrageurs wait the 7 days. Arbitrum has gone further for Orbit chains, working with teams to enable fast withdrawals in as little as 15 minutes via liquidity providers integrated at the protocol level. This effectively means users don’t wait a week except in worst-case scenarios. ZK-rollups don’t have this delay – once a validity proof is accepted on L1, the state is final. So zkSync and Polygon users get faster finality (often minutes to an hour) depending on how often proofs are submitted. The trade-off is that proving might introduce a bit of delay between when a transaction is accepted on L2 and when it’s included in an L1 proof (could be a few minutes). But generally, ZK rollups are offering 10–30 minute withdrawals in 2025, which is a huge improvement over 7 days. Users may pay a slightly higher fee for immediate finality (to cover prover costs), but many deem it worth it. Fee Customization is also worth noting: frameworks allow custom fee schedules (like free transactions or gas subsidies) if projects want. For example, an enterprise could subsidize all user fees on their chain by running the sequencer at a loss (perhaps for a game or social app). Or they could set up a different gas model (some have toyed with no gas for certain actions, or alternative gas accounting). Since most frameworks aim for Ethereum-equivalence, such deep changes are rare, but possible with code modification. Arbitrum’s Stylus could enable different fee metering for WASM contracts (not charging for certain ops to encourage WASM usage, for instance). The Polygon CDK being open source and modular means if a project wanted to implement a novel fee mechanism (like fee burning or dynamic pricing), they could.

In essence, all rollup frameworks strive to align economic incentives: make it profitable to operate a sequencer (via fee revenue), keep fees reasonable for users by leveraging cheaper DA, and (optionally) funnel some value to their broader ecosystem. Optimism’s model is unique in explicitly sharing revenue for public goods, while others rely on growth and token economics (e.g., more chains -> more MATIC/ETH usage, increasing those token’s value).

Architecture and Modularity​

All these frameworks pride themselves on a modular architecture, meaning each layer of the stack (execution, settlement, consensus, DA, proofs) is swappable or upgradable. Let’s briefly note each:

• OP Stack: Built as a series of modules corresponding to Ethereum’s layers – execution engine (OP EVM, derived from geth), consensus/rollup node (op-node), settlement smart contracts, and soon fraud prover. The OP Stack’s design goal was EVM equivalence (no custom gas schedule or opcode changes) and ease of integration with Ethereum tooling. The Bedrock upgrade in 2023 further modularized Optimism’s stack, making it easier to swap out components (e.g., to implement ZK proofs in the future, or use a different DA). Indeed, OP Stack is not limited to optimistic fraud proofs – the team has said it’s open to integrating validity proofs when they mature, essentially turning OP Stack chains into ZK rollups without changing the developer experience. The Superchain concept extends the architecture to multiple chains: standardizing inter-chain communication, bridging, and maybe shared sequencing. OP Stack comes with a rich set of smart contracts on L1 (for deposits, withdrawals, fraud proof verification, etc.), which chains inherit out-of-the-box. It’s effectively a plug-and-play L2 chain template – projects like Base launched by forking the OP Stack repos and configuring them to point at their own contracts.

• ZK Stack: The ZK Stack is the framework underlying zkSync Era and future “Hyperchains.” Architecturally, it includes the zkEVM execution environment (an LLVM-based VM that allows running Solidity code with minimal changes), the prover system (the circuits and proof generation for transactions), the sequencer node, and the L1 contracts (the zkSync smart contracts that verify proofs and manage state roots). Modularity is seen in how it separates the ZK proof circuit from the execution – theoretically one could swap in a different proving scheme or even a different VM (though not trivial). The ZK Stack introduces the Elastic Chain Architecture with components like ZK Router and ZK Gateway. These act as an interoperability layer connecting multiple ZK Chains. It’s a bit like an “internet of ZK rollups” concept, where the Router (on Ethereum) holds a registry of chains and facilitates shared bridging/liquidity, and the Gateway handles messages between chains off-chain. This is modular because a new chain can plug into that architecture simply by deploying with the standard contracts. ZK Stack also embraces account abstraction at the protocol level (contracts as accounts, native meta-transactions), which is an architectural choice to improve UX. Another modular aspect: as discussed in DA, it can operate in rollup or validium mode – essentially flipping a switch in config. Also, the stack has a notion of Pluggable consensus for sequencing (as noted prior). Settlement layer can be Ethereum or potentially another chain: zkSync’s roadmap even floated settling hyperchains on L2 (e.g., an L3 that posts proofs to zkSync Era L2 instead of L1) – indeed they launched a prototype called “ZK Portal” for L3 settlement on L2. This gives a hierarchical modularity (L3->L2->L1). Overall, ZK Stack is a bit less turnkey for non-Matter-Labs teams as of 2025 (since running a ZK chain involves coordinating provers, etc.), but it’s highly flexible in capable hands.

• Arbitrum Orbit: Arbitrum’s architecture is built on the Arbitrum Nitro stack, which includes the ArbOS execution layer (Arbitrum’s interpretation of EVM with some small differences), the Sequencer/Relay, the AnyTrust component for alternative DA, and the fraud proof machinery (interactive fraud proofs). Orbit essentially lets you use that same stack but configure certain parameters (like chain ID, L2 genesis state, choice of rollup vs AnyTrust). Modularity: Arbitrum introduced Stylus, a new WASM-compatible smart contract engine that runs alongside the EVM. Stylus allows writing contracts in Rust, C, C++ which compile to WASM and run with near-native speed on Arbitrum chains. This is an optional module – Orbit chains can enable Stylus or not. It’s a differentiator for Arbitrum’s stack, making it attractive for high-performance dApps (e.g., gaming or trading apps might write some logic in Rust for speed). The data availability module is also pluggable as discussed (Arbitrum chains can choose on-chain or DAC). Another module is the L1 settlement: Orbit chains can post their proofs to either Ethereum (L1) or to Arbitrum One (L2). If the latter, they effectively are L3s anchored in Arbitrum One’s security (with slightly different trust assumptions). Many Orbit chains are launching as L3s (to inherit Arbitrum One’s lower fees and still ultimately Ethereum security). Arbitrum’s codebase is fully open source now, and projects like Caldera, Conduit build on it to provide user-friendly deployment – they might add their own modules (like monitoring, chain management APIs). It’s worth noting Arbitrum’s fraud proofs were historically not permissionless (only whitelisted validators could challenge), but with BoLD, that part of the architecture is changing to allow anyone to step in. So the fraud proof component is becoming more decentralized (which is a modular upgrade in a sense). One might say Arbitrum is less of a “lego kit” than OP Stack or Polygon CDK, in that Offchain Labs hasn’t released a one-click chain launcher (though they did release an Orbit deployment GUI on GitHub). But functionally, it’s modular enough that third parties have automated deployments for it.

• Polygon CDK (AggLayer): Polygon CDK is explicitly described as a “modular framework” for ZK-powered chains. It leverages Polygon’s ZK proving technology (from Polygon zkEVM, which is based on Plonky2 and recursive SNARKs). The architecture separates the execution layer (which is an EVM – specifically a fork of Geth adjusted for zkEVM) from the prover layer and the bridge/settlement contracts. Because it’s modular, a developer can choose different options for each: e.g. Execution – presumably always EVM for now (to use existing tooling), DA – as discussed (Ethereum or others), Sequencer consensus – single vs multi-node, Prover – one can run the prover Type1 (validity proofs posted to Ethereum) or a Type2 (validium proofs) etc., and AggLayer integration – yes or no (AggLayer for interop). Polygon even provided a slick interface (shown below) to visualize these choices:

Polygon CDK’s configuration interface, illustrating modular choices – e.g. Rollups vs Validium (scaling solution), decentralized vs centralized sequencer, local/Ethereum/3rd-party DA, different prover types, and whether to enable AggLayer interoperability.

Under the hood, Polygon CDK uses zk-Proofs with recursion to allow high throughput and a dynamic validator set. The AggLayer is an emerging part of the architecture that will connect chains for trustless messaging and shared liquidity. The CDK is built in a way that future improvements in Polygon’s ZK tech (like faster proofs, or new VM features) can be adopted by all CDK chains via upgrades. Polygon has a concept of “Type 1 vs Type 2” zkEVM – Type 1 is fully Ethereum-equivalent, Type 2 is almost equivalent with minor changes for efficiency. A CDK chain could choose a slightly modified EVM for more speed (sacrificing some equivalence) – this is an architectural option projects have. Overall, CDK is very lego-like: one can assemble a chain choosing components suitable for their use case (e.g., an enterprise might choose validium + permissioned sequencers + private Tx visibility; a public DeFi chain might choose rollup + decentralized sequencer + AggLayer enabled for liquidity). This versatility has attracted many projects to consider CDK for launching their own networks.

• Images and diagrams: The frameworks often provide visual diagrams of their modular architecture. For example, zkSync’s UI shows toggles for Rollup/Validium, L2/L3, centralized/decentralized, etc., highlighting the ZK Stack’s flexibility:

An example configuration for a zkSync “Hyperchain.” The ZK Stack interface allows selecting chain mode (Rollup vs Validium vs Volition), layer (L2 or L3), transaction sequencing (decentralized, centralized, or shared), data availability source (Ethereum, third-party network, or custom), data visibility (public or private chain), and gas token (ETH, custom, or gasless). This modular approach is designed to support a variety of use cases, from public DeFi chains to private enterprise chains.

In summary, all these stacks are highly modular and upgradable, which is essential given the pace of blockchain innovation. They are converging in some sense: OP Stack adding validity proofs, Polygon adding shared sequencing (OP Stack ideas), Arbitrum adding interoperable L3s (like others), zkSync pursuing L3s (like Orbit and OPStack do). This cross-pollination means modular frameworks in 2025 are more alike than different in philosophy – each wants to be the one-stop toolkit to launch scalable chains without reinventing the wheel.

Developer Experience and Tooling​

A critical factor for adoption is how easy and developer-friendly these frameworks are. This includes documentation, SDKs/APIs, CLIs for deployment, monitoring tools, and the learning curve for developers:

• OP Stack – Developer Experience: Optimism’s OP Stack benefits from being EVM-equivalent, so Ethereum developers can use familiar tools (Remix, Hardhat, Truffle, Solidity, Vyper) without modification. Smart contracts deployed to an OP chain behave exactly as on L1. This drastically lowers the learning curve. Optimism provides extensive documentation: the official Optimism docs have sections on the OP Stack, running an L2 node, and even an “OP Stack from scratch” tutorial. There are community-written guides as well (for example, QuickNode’s step-by-step guide on deploying an Optimism L2 rollup). In terms of tooling, OP Labs has released the op-node client (for the rollup node) and op-geth (execution engine). To launch a chain, a developer typically needs to configure these and deploy the L1 contracts (Standard Bridge, etc.). This was non-trivial but is becoming easier with provider services. Deployment-as-a-service: companies like Caldera, Conduit, and Infura/Alchemy offer managed OP Stack rollup deployments, which abstracts away much of the DevOps. For monitoring, because an OP Stack chain is essentially a geth chain plus a rollup coordinator, standard Ethereum monitoring tools (ETH metrics dashboards, block explorers like Etherscan/Blockscout) can be used. In fact, Etherscan supports OP Stack chains such as Optimism and Base, providing familiar block explorer interfaces. Developer tooling specifically for OP Chains includes the Optimism SDK for bridging (facilitating deposits/withdrawals in apps) and Bedrock’s integration with Ethereum JSON-RPC (so tools like MetaMask just work by switching network). The OP Stack code is MIT licensed, inviting developers to fork and experiment. Many did – e.g. BNB Chain’s team used OP Stack to build opBNB with their own modifications to consensus and gas token (they use BNB gas on opBNB). The OP Stack’s adherence to Ethereum standards makes the developer experience arguably the smoothest among these: essentially “Ethereum, but cheaper” from a contract developer’s perspective. The main new skills needed are around running the infrastructure (for those launching a chain) and understanding cross-chain bridging nuances. Optimism’s community and support (Discord, forums) are active to help new chain teams. Additionally, Optimism has funded ecosystem tools like Magi (an alternative Rust rollup client) to diversify the stack and make it more robust for developers.

• zkSync ZK Stack – Developer Experience: On the contract development side, zkSync’s ZK Stack offers a zkEVM that is intended to be high compatibility but currently not 100% bytecode-equivalent. It supports Solidity and Vyper contracts, but there are subtle differences (for example, certain precompiles or gas costs). That said, Matter Labs built an LLVM compiler that takes Solidity and produces zkEVM bytecode, so most Solidity code works with little to no change. They also natively support account abstraction, which devs can leverage to create gasless transactions, multi-sig wallets, etc., more easily than on Ethereum (no need for ERC-4337). The developer docs for zkSync are comprehensive (docs.zksync.io) and cover how to deploy contracts, use the Hyperchain CLI (if any), and configure a chain. However, running a ZK rollup is inherently more complex than an optimistic one – you need a proving setup. The ZK Stack provides the prover software (e.g. the GPU provers for zkSync’s circuits), but a chain operator must have access to serious hardware or cloud services to generate proofs continuously. This is a new DevOps challenge; to mitigate it, some companies are emerging that provide prover services or even Proof-as-a-Service. If a developer doesn’t want to run their own provers, they might be able to outsource it (with trust or crypto-economic assurances). Tooling: zkSync provides a bridge and wallet portal by default (the zkSync Portal) which can be forked for a new chain, giving users a UI to move assets and view accounts. For block exploration, Blockscout has been adapted to zkSync, and Matter Labs built their own block explorer for zkSync Era which could likely be used for new chains. The existence of the ZK Gateway and Router means that if a developer plugs into that, they get some out-of-the-box interoperability with other chains – but they need to follow Matter Labs’ standards. Overall, for a smart contract dev, building on zkSync is not too difficult (just Solidity, with perhaps minor differences like gasleft() might behave slightly differently due to not having actual Ethereum gas cost). But for a chain operator, the ZK Stack has a steeper learning curve than OP Stack or Orbit. In 2025, Matter Labs is focusing on improving this – for instance, simplifying the process of launching a Hyperchain, possibly providing scripts or cloud images to spin up the whole stack. There is also an emerging community of devs around ZK Stack; e.g., the ZKSync Community Edition is an initiative where community members run test L3 chains and share tips. We should note that language support for zkSync’s ecosystem might expand – they’ve talked about allowing other languages via the LLVM pipeline (e.g., a Rust-to-zkEVM compiler in the future), but Solidity is the main one now. In summary, zkSync’s dev experience: great for DApp devs (nearly Ethereum-like), moderate for chain launchers (need to handle prover and new concepts like validiums).

• Arbitrum Orbit – Developer Experience: For Solidity developers, Arbitrum Orbit (and Arbitrum One) is fully EVM-compatible at the bytecode level (Arbitrum Nitro uses geth-derived execution). Thus, deploying and interacting with contracts on an Arbitrum chain is just like Ethereum (with some small differences like slightly different L1 block number access, chainID, etc., but nothing major). Where Arbitrum stands out is Stylus – developers can write smart contracts in languages like Rust, C, C++ (compiled to WebAssembly) and deploy those alongside EVM contracts. This opens blockchain development to a wider pool of programmers and enables high-performance use cases. For example, an algorithmic intensive logic could be written in C for speed. Stylus is still in beta on Arbitrum mainnet, but Orbit chains can experiment with it. This is a unique boon for developer experience, albeit those using Stylus will need to learn new tooling (e.g., Rust toolchains, and Arbitrum’s libraries for interfacing WASM with the chain). The Arbitrum docs provide guidance on using Stylus and even writing Rust smart contracts. For launching an Orbit chain, Offchain Labs has provided Devnet scripts and an Orbit deployment UI. The process is somewhat technical: one must set up an Arbitrum node with --l3 flags (if launching an L3) and configure the genesis, chain parameters, etc.. QuickNode and others have published guides (“How to deploy your own Arbitrum Orbit chain”). Additionally, Orbit partnerships with Caldera, AltLayer, and Conduit mean these third parties handle a lot of the heavy lifting. A developer can essentially fill out a form or run a wizard with those services to get a customized Arbitrum chain, instead of manually modifying the Nitro code. In terms of debugging and monitoring, Arbitrum chains can use Arbiscan (for those that have it) or community explorers. There’s also Grafana/Prometheus integrations for node metrics. One complexity is the fraud proof system – developers launching an Orbit chain should ensure there are validators (maybe themselves or trusted others) who run the off-chain validator software to watch for fraud. Offchain Labs likely provides default scripts for running such validators. But since fraud proofs rarely trigger, it’s more about having the security process in place. Arbitrum’s large developer community (projects building on Arbitrum One) is an asset – resources like tutorials, stackexchange answers, etc., often apply to Orbit as well. Also, Arbitrum is known for its strong developer education efforts (workshops, hackathons), which presumably extend to those interested in Orbit.

• Polygon CDK – Developer Experience: Polygon CDK is newer (announced mid/late 2023), but it builds on familiar components. For developers writing contracts, Polygon CDK chains use a zkEVM that’s intended to be equivalent to Ethereum’s EVM (Polygon’s Type 2 zkEVM is nearly identical with a few edge cases). So, Solidity and Vyper are the go-to languages, with full support for standard Ethereum dev tools. If you’ve deployed on Polygon zkEVM or Ethereum, you can deploy on a CDK chain similarly. The challenge is more on the chain operations side. Polygon’s CDK is open-source on GitHub and comes with documentation on how to configure a chain. It likely provides a command-line tool to scaffold a new chain (similar to how one might use Cosmos SDK’s starport or Substrate’s node template). Polygon Labs has invested in making the setup as easy as possible – one quote: “launch a high-throughput ZK-powered Ethereum L2 as easily as deploying a smart contract”. While perhaps optimistic, this indicates tools or scripts exist to simplify deployment. Indeed, there have been early adopters like Immutable (for gaming) and OKX (exchange chain) that have worked with Polygon to launch CDK chains, suggesting a fairly smooth process with Polygon’s team support. The CDK includes SDKs and libraries to interact with the bridge (for deposits/withdrawals) and to enable AggLayer if desired. Monitoring a CDK chain can leverage Polygon’s block explorer (Polygonscan) if they integrate it, or Blockscout. Polygon is also known for robust SDKs for gaming and mobile (e.g., Unity SDKs) – those can be used on any Polygon-based chain. Developer support is a big focus: Polygon has academies, grants, hackathons regularly, and their Developer Relations team helps projects one-on-one. An example of enterprise developer experience: Libre, an institutional chain launched with CDK, presumably had custom requirements – Polygon was able to accommodate things like identity modules or compliance features on that chain. This shows the CDK can be extended for specific use cases by developers with help from the framework. As for learning materials, Polygon’s docs site and blog have guides on CDK usage, and because CDK is essentially the evolution of their zkEVM, those familiar with Polygon’s zkEVM design can pick it up quickly. One more tooling aspect: Cross-chain tools – since many Polygon CDK chains will coexist, Polygon provides the AggLayer for messaging, but also encourages use of standard cross-chain messaging like LayerZero (indeed Rarible’s Orbit chain integrated LayerZero for NFT transfers and Polygon chains can too). So, devs have options to integrate interoperability plugins easily. All told, the CDK developer experience is aimed to be turnkey for launching Ethereum-level chains with ZK security, benefiting from Polygon’s years of L2 experience.

In conclusion, developer experience has dramatically improved for launching custom chains: what once required a whole team of protocol engineers can now be done with guided frameworks and support. Optimism’s and Arbitrum’s offerings leverage familiarity (EVM equivalence), zkSync and Polygon offer cutting-edge tech with increasing ease-of-use, and all have growing ecosystems of third-party tools to simplify development (from block explorers to monitoring dashboards and devops scripts). The documentation quality is generally high – official docs plus community guides (Medium articles, QuickNode/Alchemy guides) cover a lot of ground. There is still a non-trivial learning curve to go from smart contract developer to “rollup operator,” but it’s getting easier as best practices emerge and the community of rollup builders expands.

Ecosystem Support and Go-to-Market Strategies​

Building a technology is one thing; building an ecosystem is another. Each of these frameworks is backed by an organization or community investing in growth through grants, funding, marketing, and partnership support. Here we compare their ecosystem support strategies – how they attract developers and projects, and how they help those projects succeed:

• OP Stack (Optimism) Ecosystem: Optimism has a robust ecosystem strategy centered on its Optimism Collective and ethos of public goods funding. They pioneered Retroactive Public Goods Funding (RPGF) – using OP token treasury to reward developers and projects that benefit the ecosystem. Through multiple RPGF rounds, Optimism has distributed millions in funding to infrastructure projects, dev tools, and applications on Optimism. Any project building with OP Stack (especially if aligning with the Superchain vision) is eligible to apply for grants from the Collective. Additionally, Optimism’s governance can authorize incentive programs (earlier in 2022, they had an airdrop and governance fund that projects could tap to distribute OP rewards to users). In 2024, Optimism established the Superchain Revenue Sharing model, where each OP Chain contributes a small portion of fees to a shared treasury. This creates a flywheel: as more chains (like Base, opBNB, Worldcoin’s chain, etc.) generate usage, they collectively fund more public goods that improve the OP Stack, which in turn attracts more chains. It’s a positive-sum approach unique to Optimism. On the go-to-market side, Optimism has actively partnered with major entities: getting Coinbase to build Base was a huge validation of OP Stack, and Optimism Labs provided technical help and support to Coinbase during that process. Similarly, they’ve worked with Worldcoin’s team, and Celo’s migration to an OP Stack L2 was done with consultation from OP Labs. Optimism does a lot of developer outreach – from running hackathons (often combined with ETHGlobal events) to maintaining a Developer Hub with tutorials. They also invest in tooling: e.g., funding teams to build alternative clients, monitoring tools, and providing an official faucet and block explorer integration for new chains. Marketing-wise, Optimism coined the term “Superchain” and actively promotes the vision of many chains uniting under one interoperable umbrella, which has attracted projects that want to be part of a broader narrative rather than an isolated appchain. There’s also the draw of shared liquidity: with the upcoming OPCraft (Superchain interoperability), apps on one OP Chain can easily interact with another, making it appealing to launch a chain that’s not an island. In essence, OP Stack’s ecosystem play is about community and collaboration – join the Superchain, get access to a pool of users (via easy bridging), funding, and collective branding. They even created a “Rollup Passport” concept where users can have a unified identity across OP Chains. All these efforts lower the barrier for new chains to find users and devs. Finally, Optimism’s own user base and reputation (being one of the top L2s) means any OP Stack chain can somewhat piggyback on that (Base did, by advertising itself as part of the Optimism ecosystem, for instance).

• zkSync (ZK Stack/Hyperchains) Ecosystem: Matter Labs (the team behind zkSync) secured large funding rounds (over $200M) to fuel its ecosystem. They have set up funds like the ** zkSync Ecosystem Fund**, often in collaboration with VCs, to invest in projects building on zkSync Era. For the ZK Stack specifically, they have started to promote the concept of Hyperchains to communities that need their own chain. One strategy is targeting specific verticals: for example, gaming. zkSync has highlighted how a game studio could launch its own Hyperchain to get customizability and still be connected to Ethereum. They are likely offering close support to initial partners (in the way Polygon did with some enterprises). The mention in the Zeeve article about a “Swiss bank; world’s largest bank” interested in ZK Stack suggests Matter Labs is courting enterprise use cases that need privacy (ZK proofs can ensure correctness while keeping some data private, a big deal for institutions). If zkSync lands a major enterprise chain, that would boost their credibility. Developer support on zkSync is quite strong: they run accelerators (e.g., an program with Blockchain Founders Fund was announced), hackathons (often zk themed ones), and have an active community on their Discord providing technical help. While zkSync doesn’t have a live token (as of 2025) for governance or incentives, there’s speculation of one, and projects might anticipate future incentive programs. Matter Labs has also been working on bridging support: they partnered with major bridges like Across, LayerZero, Wormhole to ensure assets and messages can move easily to and from zkSync and any hyperchains. In fact, Across Protocol integrated zkSync’s ZK Stack, boasting support across “all major L2 frameworks”. This interoperability focus means a project launching a hyperchain can readily connect to Ethereum mainnet and other L2s, crucial for attracting users (nobody wants to be siloed). Marketing-wise, zkSync pushes the slogan “Web3 without compromise” and emphasizes being first to ZK mainnet. They publish roadmaps (their 2025 roadmap blog) to keep excitement high. If we consider ecosystem funds: aside from direct Matter Labs grants, there’s also the Ethereum Foundation and other ZK-focused funds that favor zkSync development due to the general importance of ZK tech. Another strategy: zkSync is open source and neutral (no licensing fees), which appeals to projects that might be wary of aligning with a more centralized ecosystem. The ZK Stack is trying to position itself as the decentralizer’s choice – e.g., highlighting full decentralization and no training wheels, whereas OP Stack and others still have some centralization in practice. Time will tell if that resonates, but certainly within the Ethereum community, zkSync has supporters who want a fully trustless stack. Finally, Matter Labs and BitDAO’s Windranger have a joint initiative called “ZK DAO” which might deploy capital or incentives for the ZK Stack adoption. Overall, zkSync’s ecosystem efforts are a mix of technical superiority messaging (ZK is the future) and building practical bridges (both figurative and literal) for projects to come onboard.

• Arbitrum Orbit Ecosystem: Arbitrum has a huge existing ecosystem on its L2 (Arbitrum One), with the highest DeFi TVL among L2s in 2024. Offchain Labs leverages this by encouraging successful Arbitrum dApps to consider Orbit chains for sub-applications or L3 expansions. They announced that over 50 Orbit chains were in development by late 2023, expecting perhaps 100+ by end of 2024 – indicating substantial interest. To nurture this, Offchain Labs adopted a few strategies. First, partnerships with RaaS providers: They realized not every team can handle the rollup infra, so they enlisted Caldera, Conduit, and AltLayer to streamline it. These partners often have their own grant or incentive programs (sometimes co-sponsored by Arbitrum) to entice projects. For example, there might be an Arbitrum x AltLayer grant for gaming chains. Second, Offchain Labs provides direct technical support and co-development for key projects. The case of Xai Chain is illustrative: it’s a gaming L3 where Offchain Labs co-developed the chain and provides ongoing tech and even marketing support. They basically helped incubate Xai to showcase Orbit’s potential in gaming. Similarly, Rarible’s RARI NFT chain got integrated with many partners (Gelato for gasless, LayerZero for cross-chain NFTs, etc.) with presumably Arbitrum’s guidance. Offchain Labs also sometimes uses its war chest (Arbitrum DAO has a huge treasury of ARB tokens) to fund initiatives. While the Arbitrum DAO is separate, Offchain Labs can coordinate with it for ecosystem matters. For instance, if an Orbit chain heavily uses ARB token or benefits Arbitrum, the DAO could vote grants. However, a more direct approach: Offchain Labs launched Arbitrum Orbit Challenge hackathons and prizes to encourage developers to try making L3s. On marketing: Arbitrum’s brand is developer-focused, and they promote Orbit’s advantages like Stylus (fast, multi-language contracts) and no 7-day withdrawal (with fast bridging). They also highlight successful examples: e.g., Treasure DAO’s Bridgeworld announced an Orbit chain, etc. One more support angle: liquidity and Defi integration. Arbitrum is working with protocols so that if you launch an Orbit chain, you can tap into liquidity from Arbitrum One easily (via native bridging or LayerZero). The easier it is to get assets and users moving to your new chain, the more likely you’ll succeed. Arbitrum has a very large, active community (on Reddit, Discord, etc.), and by extending that to Orbit, new chains can market to existing Arbitrum users (for example, an Arbitrum user might get an airdrop on a new Orbit chain to try it out). In summary, Arbitrum’s ecosystem strategy for Orbit is about leveraging their L2 dominance – if you build an L3, you’re effectively an extension of the largest L2, so you get to share in that network effect. Offchain Labs is actively removing hurdles (technical and liquidity hurdles) and even directly helping build some early L3s to set precedents for others to follow.

• Polygon CDK (AggLayer) Ecosystem: Polygon has been one of the most aggressive in ecosystem and business development. They have a multi-pronged approach:

  • Grants and Funds: Polygon established a $100M Ecosystem Fund a while back, and has invested in hundreds of projects. They also had specific vertical funds (e.g., Polygon Gaming Fund, Polygon DeFi Fund). For CDK chains, Polygon announced incentives such as covering part of the cost of running a chain or providing liquidity support. The CoinLaw stats mention “More than 190 dApps are leveraging Polygon CDK to build their own chains” – which implies Polygon has gotten a vast pipeline of projects (likely many still in development). They’ve likely offered grants or resource sharing to these teams.
  • Enterprise and Institutional Onboarding: Polygon’s BizDev team has on-boarded major companies (Starbucks, Reddit, Nike, Disney for NFTs on Polygon POS). Now with CDK, they pitch enterprises to launch dedicated chains. E.g., Immutable (gaming platform) partnering to use CDK for game-specific chains, Franklin Templeton launching a fund on Polygon, and Walmart’s trial of a supply chain on a private Polygon chain. Polygon provides white-glove support to these partners: technical consulting, custom feature development (privacy, compliance), and co-marketing. The introduction of Libre (by JP Morgan/Siemens) built on Polygon CDK shows how they cater to financial institutions with specialized needs.
  • Go-to-Market and Interoperability: Polygon is creating the AggLayer as an interoperability and liquidity hub connecting all Polygon chains. This means if you launch a CDK chain, you’re not on your own – you become part of “Polygon 2.0,” a constellation of chains with unified liquidity. They promise things like one-click token transfer between CDK chains and Ethereum (via AggLayer). They are also not charging any protocol fees (no rent), which they tout as a competitive advantage against, say, Optimism’s fee sharing. Polygon’s marketing highlights that launching a CDK chain can give you “the best of both worlds”: custom sovereignty and performance plus access to the large user base and developer base of Polygon/Ethereum. They often cite that Polygon (POS+zkEVM) combined processed 30%+ of all L2 transactions, to assure potential chain builders that the flow of users on Polygon is huge.
  • Developer Support: Polygon runs perhaps the most hackathons and DevRel events in the blockchain space. They have a dedicated Polygon University, online courses, and they frequently sponsor ETHGlobal and other hackathons with challenges around using CDK, zkEVM, etc. So developers can win prizes building prototypes of CDK chains or cross-chain dapps. They also maintain a strong presence in developer communities and provide quick support (the Polygon Discord has channels for technical questions where core devs answer).
  • Community and Governance: Polygon is transitioning to Polygon 2.0 with a new POL token and community governance that spans all chains. This could mean community treasuries or incentive programs that apply to CDK chains. For example, there may be a Polygon Ecosystem Mining program where liquidity mining rewards are offered to projects that deploy on new CDK chains to bootstrap usage. The idea is to ensure new chains aren’t ghost towns.
  • Success Stories: Already, several CDK chains are live or announced: OKX’s OKB Chain (X Layer), Gnosis Pay’s chain, Astar’s zkEVM, Palm Network migrating, GameSwift (gaming chain), etc.. Polygon actively publicizes these and shares knowledge from them to others.

Overall, Polygon’s strategy is “we will do whatever it takes to help you succeed if you build on our stack.” That includes financial incentives, technical manpower, marketing exposure (speaking slots in conferences, press releases on CoinTelegraph like we saw), and integration into a larger ecosystem. It’s very much a business development-driven approach in addition to grassroots dev community, reflecting Polygon’s more corporate style relative to the others.

To summarize ecosystem support: All these frameworks understand that attracting developers and projects requires more than tech – it needs funding, hand-holding, and integration into a larger narrative. Optimism pushes a collaborative public-goods-focused narrative with fair revenue sharing. zkSync pushes the cutting-edge tech angle and likely will announce incentives aligned with a future token. Arbitrum leverages its existing dominance and provides partner networks to make launching easy, plus possibly the deepest DeFi liquidity to tap into. Polygon arguably goes the furthest in smoothing the path for both crypto-native and enterprise players, effectively subsidizing and co-marketing chains.

An illustrative comparative snapshot:

Framework	Notable Ecosystem Programs	Developer/Partner Support	Ecosystem Size (2025)
OP Stack (Optimism)	RetroPGF grants (OP token); Superchain fee sharing for public goods; Multiple grant waves for tooling & dapps.	OP Labs offers direct tech support to new chains (e.g. Base); strong dev community; Superchain branding & interoperability to attract users. Regular hackathons (often Optimism-sponsored tracks).	Optimism mainnet ~160+ dapps, Base gaining traction, 5+ OP Chains live (Base, opBNB, Worldcoin, Zora, others) and more announced (Celo). Shared $14k+ ETH revenue to Collective. Large community via Optimism and Coinbase users.
zkSync ZK Stack	zkSync Ecosystem Fund (>$200M raised for dev financing); possible future airdrops; targeted vertical programs (e.g. gaming, AI agents on Hyperchains).	Matter Labs provides technical onboarding for early Hyperchain pilots; detailed docs and open-source code. Partnered with bridge protocols for connectivity. Developer incentives mostly through hackathons and VC investments (no token incentives yet).	zkSync Era L2 has 160+ protocols, ~$100M TVL. Early hyperchains in test (no major live L3 yet). Enterprise interest signals future growth (e.g. pilot with a large bank). Strong ZK developer community and growing recognition.
Arbitrum Orbit	Arbitrum DAO $ARB treasury ($3B+) for potential grants; Offchain Labs partnership with RaaS (Caldera, AltLayer) subsidizing chain launches; Orbit Accelerator programs.	Offchain Labs co-developed flagship Orbit chains (Xai, etc.); assists with marketing (Binance Launchpad for Xai’s token). Dev support via Arbitrum’s extensive documentation and direct engineering help for integration (Stylus, custom gas). Fast bridge support for user experience.	Arbitrum One: largest L2 TVL (~$5B); ~50 Orbit chains in dev as of late 2023, ~16 launched by early 2025. Notable live chains: Xai, Rari Chain, Frame, etc. DeFi heavy ecosystem on L2 can extend liquidity to L3s. Large, loyal community (Arbitrum airdrop had >250k participants).
Polygon CDK (AggLayer)	Polygon Ecosystem Fund & many vertical funds (NFTs, gaming, enterprise); Polygon 2.0 Treasury for incentives; offering to cover certain infra costs for new chains. AggLayer liquidity/reward programs expected.	Polygon Labs team works closely with partners (e.g. Immutable, enterprises) for custom needs; extensive devrel (Polygon University, hackathons, tutorials). Integration of CDK chains with Polygon’s zkEVM and PoS infrastructure (shared wallets, bridges). Marketing via big brand partnerships (public case studies of Nike, Reddit on Polygon) to lend credibility.	Polygon PoS: huge adoption (4B+ txns); Polygon zkEVM growing (100+ dapps). CDK: 20+ chains either live (OKX, Gnosis Pay, etc.) or in pipeline by end 2024. ~190 projects exploring CDK. Enterprise adoption notable (financial institutions, retail giants). One of the largest developer ecosystems due to Polygon PoS history, now funneled into CDK.

As the table suggests, each ecosystem has its strengths – Optimism with collaborative ethos and Coinbase’s weight, zkSync with ZK leadership and innovation focus, Arbitrum with proven adoption and technical prowess (Stylus), Polygon with corporate connections and comprehensive support. All are pumping significant resources into growing their communities, because ultimately the success of a rollup framework is measured by the apps and users on the chains built with it.

Deployments and Adoption in 2025​

Finally, let’s look at where these frameworks stand in terms of real-world adoption as of 2025 – both in the crypto-native context (public networks, DeFi/NFT/gaming projects) and enterprise or institutional use:

• OP Stack Adoption: The OP Stack has powered Optimism Mainnet, which itself is one of the top Ethereum L2s with a thriving DeFi ecosystem (Uniswap, Aave, etc.) and tens of thousands of daily users. In 2023–2024, OP Stack was chosen by Coinbase for their Base network – Base launched in August 2023 and quickly onboarded popular apps (Coinbase’s own wallet integration, friend.tech social app) and reached high activity (at times even surpassing Optimism in transactions). Base’s success validated OP Stack for many; Base had 800M transactions in 2024, making it the second-highest chain by tx count that year. Another major OP Stack deployment is opBNB – Binance’s BNB Chain team created an L2 using OP Stack (but settling to BNB Chain instead of Ethereum). opBNB went live in 2023, indicating OP Stack’s flexibility to use a non-Ethereum settlement. Worldcoin’s World ID chain went live on OP Stack (settling on Ethereum) in 2023 to handle its unique biometric identity transactions. Zora Network, an NFT-centric chain by Zora, launched on OP Stack as well, tailored for creator economy use cases. Perhaps the most ambitious is Celo’s migration: Celo voted to transition from an independent L1 to an Ethereum L2 built on OP Stack – as of 2025, this migration is underway, effectively bringing a whole existing ecosystem (Celo’s DeFi and phone-focused apps) into the OP Stack fold. We also have smaller projects like Mode (Bybit’s side chain), Mantle (BitDAO’s chain) – actually Mantle opted for a modified OP Stack too. And many more are rumored or in development, given Optimism’s open-source approach (anyone can fork and launch without permission). On enterprise side, we haven’t seen much explicit OP Stack enterprise chain (enterprises seem drawn more to Polygon or custom). However, Base is an enterprise (Coinbase) backing, and that’s significant. The Superchain vision implies that even enterprise chains might join as OP Chains to benefit from shared governance – for instance, if some fintech wanted to launch a compliant chain, using OP Stack and plugging into Superchain could give it ready connectivity. As of 2025, OP Stack chains collectively (Optimism, Base, others) handle a significant portion of L2 activity, and the Superchain aggregated throughput is presented as a metric (Optimism often publishes combined stats). With Bedrock upgrade and further improvements, OP Stack chains are proving high reliability (Optimism had negligible downtime). The key measure of adoption: OP Stack is arguably the most forked rollup framework so far, given Base, BNB, Celo, etc., which are high-profile. In total, ~5-10 OP Stack chains are live mainnets, and many more testnets. If we include devnets and upcoming launches, the number grows.

• zkSync Hyperchains Adoption: zkSync Era mainnet (L2) itself launched in March 2023 and by 2025 it’s among the top ZK rollups, with ~$100M TVL and dozens of projects. Notable apps like Curve, Uniswap, Chainlink deployed or announced deployment on zkSync. Now, regarding Hyperchains (L3 or sovereign chains), this is very cutting-edge. In late 2024, Matter Labs launched a program for teams to experiment with L3s on top of zkSync. One example: the Rollup-as-a-Service provider Decentriq was reportedly testing a private Hyperchain for data sharing. Also, Blockchain Capital (VC) hinted at experimenting with an L3. We have mention that an ecosystem of 18+ protocols is leveraging ZK Stack for things like AI agents and specialized use cases – possibly on testnets. No major Hyperchain is publicly serving users yet (as far as known by mid-2025). However, interest is high in specific domains: gaming projects have shown interest in ZK hyperchains for fast finality and customizability, and privacy-oriented chains (a Hyperchain could include encryption and use zkProofs to hide data – something an optimistic rollup can’t offer as easily). The comment about a “Swiss bank” suggests maybe UBS or a consortium is testing a private chain using ZK Stack, likely attracted by throughput (~10k TPS) and privacy. If that moves to production, it would be a flagship enterprise case. In summary, zkSync’s Hyperchain adoption in 2025 is in an early pilot stage: developer infrastructure is ready (as evidenced by documentation and some test deployments), but we’re waiting for the first movers to go live. It’s comparable to where Optimism was in early 2021 – proven tech but just starting adoption. By end of 2025, we could expect a couple of Hyperchains live, possibly one community-driven (maybe a gaming Hyperchain spun out of a popular zkSync game) and one enterprise-driven. Another factor: there’s talk of Layer3s on zkSync Era as well – essentially permissionless L3s where anyone can deploy an app-chain atop zkSync’s L2. Matter Labs has built the contracts to allow that, so we may see user-driven L3s (like someone launching a mini rollup for their specific app) which counts as adoption of the ZK Stack.

• Arbitrum Orbit Adoption: Arbitrum Orbit saw a surge of interest after its formal introduction in mid-2023. By late 2023, around 18 Orbit chains were publicly disclosed, and Offchain Labs indicated over 50 in progress. As of 2025, some of the prominent ones:

  • Xai Chain: A gaming-focused L3, now live (mainnet launched late 2023). It’s used by game developers (like Ex Populus studio) and had a token launch via Binance Launchpad. This indicates decent adoption (Binance Launchpad involvement suggests lots of user interest). Xai uses AnyTrust mode (for high TPS).
  • Rari Chain: An NFT-centric L3 by Rarible. Launched mainnet Jan 2024. It’s focused on NFT marketplaces with features like credit card payments for gas (via Stripe) and gasless listings. This chain is a good showcase of customizing user experience (as noted, Gelato provides gasless transactions, etc. on Rari Chain).
  • Frame: A creator-focused L2 (though called L2, it’s likely an Orbit chain settling on Ethereum or Arbitrum). It launched early 2024 after raising funding.
  • EduChain (by Camelot/GMX communities): The Zeeve article mentions an EDU chain with a large number of projects – possibly an ecosystem for on-chain education and AI, built on Orbit.
  • Ape Chain: Not explicitly mentioned above, but the context from Zeeve suggests an “Ape chain” (maybe Yuga Labs or ApeCoin DAO chain) exists with $9.86M TVL and uses APE for gas. That could be an Orbit chain in the ApeCoin ecosystem (this would be significant given Yuga’s influence in NFTs).
  • Other gaming chains: e.g., Cometh’s “Muster” L3 was announced (a gaming platform partnering with AltLayer). Syndr Chain for an options trading protocol is on testnet as Orbit L3. Meliora (DeFi credit protocol) building an Orbit L3.
  • Many of these are in early stages (testnet or recently launched mainnet), but collectively they indicate Orbit is gaining adoption among specialized dApps that outgrew a shared L2 environment or wanted their own governance.
  • On enterprise: not as much noise here. Arbitrum is known more for DeFi/gaming adoption. However, the technology could appeal to enterprise if they want an Ethereum-secured chain with flexible trust (via AnyTrust). It’s possible some enterprise quietly used Arbitrum technology for a private chain, but not publicized.
  • By the numbers, Arbitrum Orbit’s biggest user so far might be Ape Chain (if confirmed) with ~$10M TVL and 17 protocols on it (according to Zeeve). Another is EDU chain with 1.35M TVL and 30+ projects.
  • Arbitrum One and Nova themselves are part of this narrative – the fact Orbit chains can settle on Nova (ultra-cheap social/gaming chain) or One means adoption of Orbit also drives activity to those networks. Nova has seen usage for Reddit points etc. If Orbit chains plug into Nova’s AnyTrust committee, Nova’s role grows.
  • In sum, Arbitrum Orbit has moved beyond theory: dozens of real projects are building on it, focusing on gaming, social, and custom DeFi. Arbitrum’s approach of showing real use-cases (like Xai, Rari) has paid off, and we can expect by end of 2025 there will be possibly 50+ Orbit chains live, some with significant user bases (especially if one of the gaming chains hits a popular game release).

• Polygon CDK Adoption: Polygon only announced CDK in H2 2023, but it piggybacks on the success of Polygon’s existing networks. Already, Polygon zkEVM (mainnet beta) itself is essentially a CDK chain run by Polygon Labs. It has seen decent adoption (over $50M TVL, major protocols deployed). But beyond that, numerous independent chains are in motion:

  • Immutable X (a large Web3 gaming platform) declared support for Polygon CDK to let game studios spin up their own zk-rollups that connect to Immutable and Polygon liquidity. This alliance means possibly dozens of games using CDK via Immutable in 2025.
  • OKX (exchange) launched OKB Chain (aka X Chain) using Polygon CDK in late 2024. An exchange chain can drive a lot of transactions (cex-to-dex flows, etc.). OKX chose Polygon presumably for scalability and because many of their users already use Polygon.
  • Canto (DeFi chain) and Astar (Polkadot sidechain) are mentioned as migrating to or integrating with Polygon CDK. Canto moving from Cosmos to Polygon layer indicates the appeal of sharing security with Ethereum via Polygon’s ZK.
  • Gnosis Pay: launched Gnosis Card chain with CDK – it’s a chain to allow fast stablecoin payments connected to a Visa card. This is live and an innovative fintech use.
  • Palm Network: a NFT-specialized chain originally on Ethereum is moving to Polygon CDK (Palm was co-founded by ConsenSys for NFTs with DC Comics, etc.).
  • dYdX: This is interesting – dYdX was building its own Cosmos chain, but Zeeve’s info lists dYdX under AggLayer CDK chains. If dYdX were to consider Polygon instead, that would be huge (though as of known info, dYdX V4 is Cosmos-based; perhaps they plan cross-chain or future pivot).
  • Nubank: one of the largest digital banks in Brazil, appears in Zeeve’s list. Nubank had launched a token on Polygon earlier; a CDK chain for their rewards or CBDC-like program could be in testing.
  • Wirex, IDEX, GameSwift, Aavegotchi, Powerloom, Manta… these names in Zeeve’s list show how cross-ecosystem the CDK reach is: e.g., Manta (a Polkadot privacy project) might use CDK for an Ethereum-facing ZK solution; Aavegotchi (an NFT game originally on Polygon POS) might get its own chain for game logic.
  • The Celestia integration in early 2024 will likely attract projects that want the Polygon tech but with Celestia DA – possibly some Cosmos projects (since Celestia is Cosmos-based) will choose Polygon CDK for execution and Celestia for DA.
  • Enterprises: Polygon has a dedicated enterprise team. Apart from those mentioned (Stripe on stablecoins, Franklin Templeton fund on Polygon, country governments minting stamps, etc.), with CDK they can promise enterprises their own chain with custom rules. We might see pilots like “Polygon Siemens Chain” or government chains emerging, though often those start private.
  • Polygon’s approach of being chain-agnostic (they even support an “OP Stack mode” now in CDK per Zeeve!) and not charging rent, has meant a rapid onboarding – they claim 190+ projects using or considering CDK by Q1 2025. If even a quarter of those go live, Polygon will have an expansive network of chains. They envision themselves not just as one chain but as an ecosystem of many chains (Polygon 2.0), possibly the largest such network if successful.
  • By numbers: as of early 2025, 21+ chains are either in mainnet or testnet using CDK according to the AggLayer site. This should accelerate through 2025 as more migrate or launch.
  • We can expect some high-profile launches, e.g. a Reddit chain (Reddit’s avatars on Polygon POS were huge; a dedicated Polygon L2 for Reddit could happen). Also, if any central bank digital currencies (CBDCs) or government projects choose a scaling solution, Polygon is often in those conversations – a CDK chain could be their choice for a permissioned L2 with zk proofs.

In summary, 2025 adoption status: OP Stack and Arbitrum Orbit have multiple live chains with real users and TVL, zkSync’s hyperchains are on the cusp with strong test pilots, and Polygon CDK has many lined up and a few live successes in both crypto and enterprise. The space is evolving rapidly, and projects often cross-consider these frameworks before choosing. It’s not zero-sum either – e.g., an app might use an OP Stack chain and a Polygon CDK chain for different regions or purposes. The modular blockchain future likely involves interoperability among all these frameworks. It’s notable that efforts like LayerZero and bridge aggregators now ensure assets move relatively freely between Optimism, Arbitrum, Polygon, zkSync, etc., so users might not even realize which stack a chain is built on under the hood.

Conclusion​

Rollups-as-a-Service in 2025 offers a rich menu of options. OP Stack provides a battle-tested optimistic rollup framework with Ethereum alignment and the backing of a collaborative Superchain community. ZK Stack (Hyperchains) delivers cutting-edge zero-knowledge technology with modular validity and data choices, aiming for massive scalability and new use-cases like private or Layer-3 chains. Arbitrum Orbit extends a highly optimized optimistic rollup architecture to developers, with flexibility in data availability and the exciting addition of Stylus for multi-language smart contracts. Polygon CDK empowers projects to launch zkEVM chains with out-of-the-box interoperability (AggLayer) and the full support of Polygon’s ecosystem and enterprise ties. zkSync Hyperchains (via ZK Stack) promise to unlock Web3 at scale – multiple hyperchains all secured by Ethereum, each optimized for its domain (be it gaming, DeFi, or social), with seamless connectivity through zkSync’s Elastic framework.

In comparing data availability, we saw all frameworks embracing modular DA – Ethereum for security, and newer solutions like Celestia, EigenDA, or committees for throughput. Sequencer designs are initially centralized but moving toward decentralization: Optimism and Arbitrum provide L1 fallback queues and are enabling multi-sequencer or permissionless validator models, while Polygon and zkSync allow custom consensus deployment for chains that desire it. Fee models differ mainly in ecosystem philosophy – Optimism’s revenue share vs others’ self-contained economies – but all allow custom tokens and aim to minimize user costs by leveraging cheaper DA and fast finality (especially ZK chains).

On ecosystem support, Optimism fosters a collective where each chain contributes to shared goals (funding public goods) and benefits from shared upgrades. Arbitrum leverages its thriving community and liquidity, actively helping projects launch Orbit chains and integrating them with its DeFi hub. Polygon goes all-in with resources, courting both crypto projects and corporates, providing perhaps the most hands-on support and boasting an extensive network of partnerships and funds. Matter Labs (zkSync) drives innovation and appeals to those who want the latest ZK tech, and while its incentive programs are less publicly structured (pending a token), it has significant funding to deploy and a strong pull for ZK-minded builders.

From a developer’s perspective, launching a rollup in 2025 is more accessible than ever. Whether one’s priority is EVM-equivalence and ease (OP Stack, Arbitrum) or maximum performance and future-proof tech (ZK Stack, Polygon CDK), the tools and documentation are in place. Even monitoring and dev-tools have grown to support these custom chains – for instance, Alchemy and QuickNode’s RaaS platforms support Optimism, Arbitrum, and zkSync stacks out-of-the-box. This means teams can focus on their application and leave much of the heavy lifting to these frameworks.

Looking at public and enterprise adoption, it’s clear that modular rollups are moving from experimental to mainstream. We have global brands like Coinbase, Binance, and OKX running their own chains, major DeFi protocols like Uniswap expanding to multiple L2s and possibly their own rollups, and even governments and banks exploring these technologies. The competition (and collaboration) between OP Stack, ZK Stack, Orbit, CDK, etc., is driving rapid innovation – ultimately benefiting Ethereum by scaling it to reach millions of new users through tailored rollups.

Each framework has its unique value proposition:

• OP Stack: Easy on-ramp to L2, shared Superchain network effects, and a philosophy of “impact = profit” via public goods.
• ZK Stack: Endgame scalability with ZK integrity, flexibility in design (L2 or L3, rollup or validium), and prevention of liquidity fragmentation through the Elastic chain model.
• Arbitrum Orbit: Proven tech (Arbitrum One never had a major failure), high performance (Nitro + Stylus), and the ability to customize trust assumptions (full rollup security or faster AnyTrust) for different needs.
• Polygon CDK: Turnkey zk-rollups backed by one of the largest ecosystems, with immediate connectivity to Polygon/Ethereum assets and the promise of future “unified liquidity” via AggLayer – effectively a launchpad not just for a chain, but for a whole economy on that chain.
• zkSync Hyperchains: A vision of Layer-3 scalability where even small apps can have their own chain secured by Ethereum, with minimal overhead, enabling Web2-level performance in a Web3 environment.

As of mid-2025, we are seeing the multi-chain modular ecosystem materialize: dozens of app-specific or sector-specific chains coexisting, many built with these stacks. L2Beat and similar sites now track not just L2s but L3s and custom chains, many of which use OP Stack, Orbit, CDK, or ZK Stack. Interoperability standards are being developed so that whether a chain uses Optimism or Polygon tech, they can talk to each other (projects like Hyperlane, LayerZero, and even OP and Polygon collaboration on shared sequencing).

In conclusion, Rollups-as-a-Service in 2025 has matured into a competitive landscape with OP Stack, ZK Stack, Arbitrum Orbit, Polygon CDK, and zkSync Hyperchains each offering robust, modular blockchain frameworks. They differ in technical approach (Optimistic vs ZK), but all aim to empower developers to launch scalable, secure chains tailored to their needs. The choice of stack may depend on a project’s specific priorities – EVM compatibility, finality speed, customization, community alignment, etc. – as outlined above. The good news is that there is no shortage of options or support. Ethereum’s rollup-centric roadmap is being realized through these frameworks, heralding an era where launching a new chain is not a monumental feat, but rather a strategic decision akin to choosing a cloud provider or tech stack in Web2. The frameworks will continue to evolve (e.g. we anticipate more convergence, like OP Stack embracing ZK proofs, Polygon’s AggLayer connecting to non-Polygon chains, etc.), but even now they collectively ensure that Ethereum’s scalability and ecosystem growth are limited only by imagination, not infrastructure.

Sources:

• Optimism OP Stack – Documentation and Mirror posts
• zkSync ZK Stack – zkSync docs and Matter Labs posts
• Arbitrum Orbit – Arbitrum docs, Offchain Labs announcements
• Polygon CDK – Polygon Tech docs, CoinTelegraph report
• General comparison – QuickNode Guides (Mar 2025), Zeeve and others for ecosystem stats, plus various project blogs as cited above.