The modular thesis dominates because it optimizes for sovereignty and best-in-class components. Protocols like EigenLayer for restaking and Celestia for data availability let builders assemble specialized stacks, but this creates a composability tax in latency and security.
The Future of the Public Goods Stack: Modular or Monolithic?
The fight between monolithic Ethereum and modular app-chains isn't just about scaling. It's a fundamental architectural war that will define how we fund public goods for the next decade. We analyze the trade-offs for protocol designers.
Introduction
The infrastructure for public goods is fracturing into a decisive battle between modular specialization and monolithic integration.
Monolithic chains fight back by internalizing core functions for performance. Solana and Monad prove that a single-state machine with synchronous execution eliminates cross-chain fragmentation, making them the default for high-frequency applications like DeFi and gaming.
The real conflict is economic. Modularity enables permissionless innovation but balkanizes liquidity and fee capture. Monolithic designs capture full-stack value but risk centralization and stifled experimentation. The future stack wins on developer UX, not ideological purity.
Thesis Statement
The future public goods stack will be modular, not monolithic, because specialization unlocks superior performance and composability at the cost of coordination overhead.
Modularity is inevitable because specialized execution layers like Arbitrum and Optimism already outperform general-purpose chains by orders of magnitude in specific tasks, creating a competitive pressure that monolithic designs cannot withstand.
The monolithic counter-argument fails on the data layer, where Celestia and EigenDA prove that decoupling consensus and data availability from execution is the only scalable path, forcing even Ethereum to adopt a modular roadmap via danksharding.
The critical trade-off is coordination, where modular systems introduce complexity in bridging and sequencing, a problem being solved by intent-based architectures like UniswapX and shared sequencer networks like Espresso and Astria.
Evidence: The Ethereum rollup-centric roadmap is the canonical endorsement, with its L2 ecosystem securing over $40B in TVL by outsourcing execution, while monolithic chains like Solana compete on a single, optimized vertical.
Market Context
The infrastructure for public goods is fracturing into competing architectural philosophies, with monolithic and modular designs vying for developer mindshare and capital.
Monolithic chains dominate today because their unified execution, settlement, and data availability layers simplify development. This integrated state machine offers atomic composability and predictable fees, which protocols like Uniswap and Aave require. Ethereum's L1 and Solana are the canonical examples of this model's success.
Modular designs are winning the future by unbundling the core functions of a blockchain. This separation allows each layer—like Celestia for data availability or EigenLayer for shared security—to specialize and scale independently. The result is a specialized, competitive marketplace for each resource.
The battle is over developer velocity. Monoliths offer a complete, stable environment. Modular stacks promise superior scalability and sovereignty but introduce complex coordination problems across bridges like LayerZero and rollup frameworks like OP Stack. The winner will be the stack that best hides this complexity from builders.
Evidence: The Total Value Locked in modular ecosystems (e.g., Arbitrum, Optimism) now rivals monolithic L1s, while dedicated data availability layers process terabytes daily. This proves the market demand for specialized, high-throughput components.
Key Trends Defining the Stack
The infrastructure for funding and coordinating public goods is undergoing a fundamental architectural debate, with profound implications for efficiency, sovereignty, and sustainability.
The Problem: Monolithic Stagnation
Centralized, all-in-one platforms like Gitcoin Grants create single points of failure and vendor lock-in. They enforce a one-size-fits-all mechanism, stifling innovation in matching algorithms, sybil resistance, and community governance.\n- Rigid Architecture limits experimentation with new funding models (e.g., retroPGF, direct grants).\n- Protocol Risk is concentrated, making the entire stack vulnerable to governance capture or technical failure.
The Solution: Modular Sovereignty
A composable stack separates concerns: funding pools (e.g., Optimism's RPGF), curation markets (e.g., Allo Protocol), identity/sybil (e.g., Gitcoin Passport), and distribution. This mirrors the modular blockchain thesis applied to public goods.\n- Best-in-Class Components allow communities to assemble their optimal stack.\n- Permissionless Innovation enables rapid iteration on individual layers without forking the entire system.
The Catalyst: Hyperstructure Economics
Public goods infrastructure must be unstoppable, free, and valuable—a hyperstructure. This requires sustainable, fee-generating mechanisms that don't tax the public good itself. Think Uniswap for liquidity, not a grant platform with a 5% fee.\n- Protocol-Owned Liquidity from MEV capture or sequencer fees can fund perpetual grants.\n- Positive-Sum Games align incentives between infrastructure providers, funders, and builders.
The Execution Layer: Intents & Coordination
Future funding flows will be intent-based. A funder expresses a goal ("fund high-impact devs in LatAm"), and a network of solvers (curators, DAOs, algorithms) competes to fulfill it most effectively. This draws from UniswapX and CowSwap.\n- Efficiency Gains through solver competition and batch processing.\n- Reduced Friction for funders, who define outcomes, not execution steps.
The Verification Layer: On-Chain Legos
Trustless verification of real-world impact and contribution is the final frontier. Projects like Hypercerts (for impact claims) and Attestations (via EAS) create verifiable, tradable assets from public goods work.\n- Portable Reputation allows builders to carry proof of impact across ecosystems.\n- Secondary Markets enable impact investing and retroactive funding at scale.
The Endgame: Fractal Public Goods
The stack converges on fractal subsidiarity: every layer, from L1 sequencers to application-specific DAOs, runs its own optimized public goods funding mechanism. Ethereum's PBS funds core devs, Optimism's RPGF funds ecosystem apps, and so on.\n- Recursive Funding creates aligned incentive loops at every scale.\n- Anti-Fragility emerges from distributed, non-correlated funding sources.
Architectural Trade-Offs: Monolithic L1 vs. Modular App-Chain
A first-principles comparison of infrastructure models for decentralized applications, focusing on sovereignty, performance, and economic viability.
| Core Feature / Metric | Monolithic L1 (e.g., Solana, Ethereum) | Modular App-Chain (e.g., Celestia Rollup, Avail, EigenLayer AVS) |
|---|---|---|
Execution Sovereignty | ||
Data Availability Cost per MB | $400-800 (Ethereum calldata) | $0.20-1.50 (Celestia blob) |
Time to Finality | 12-15 seconds (Ethereum) | < 2 seconds (Optimistic) / Instant (ZK) |
Protocol Revenue Capture | Shared with base layer (e.g., ETH burn) | 100% to app-chain treasury |
Validator/Sequencer Overhead | High (Must run full node) | Low (Rely on shared security like EigenLayer) |
Upgrade Coordination | Hard forks require ecosystem consensus | Sovereign, instant upgrades |
Max Theoretical TPS (Execution) | ~5,000 (Solana) | ~10,000+ (ZK Rollup on Celestia) |
Cross-Domain Composability | Native, synchronous (within L1) | Asynchronous, via bridges (LayerZero, Axelar) |
Deep Dive: The Sovereignty vs. Liquidity Trap
The core tension in blockchain infrastructure is between sovereign execution and shared liquidity, forcing developers into a fundamental architectural choice.
Sovereignty fragments liquidity. A rollup with its own execution environment (e.g., Arbitrum, Optimism, zkSync) gains full control over its tech stack and upgrade path. This sovereignty creates a liquidity moat that isolates its native assets and applications from the broader ecosystem, increasing capital inefficiency.
Shared sequencing pools liquidity. A shared sequencer network, like those proposed by Espresso or Astria, allows multiple rollups to share block ordering. This creates a unified liquidity layer for MEV and cross-rollup composability, but cedes a critical component of sovereignty to a third-party network.
The monolithic L1 is the baseline. Networks like Solana and Monad demonstrate that a single atomic state eliminates this trade-off entirely. Their performance sets the benchmark that modular systems must overcome through superior coordination, which remains an unsolved problem at scale.
Evidence: The TVL ratio between Ethereum L1 and its top L2s illustrates the trap. Despite lower fees, Arbitrum and Optimism hold a fraction of Ethereum's liquidity because their sovereign states are not natively composable. Bridging assets via protocols like Across and LayerZero introduces trust assumptions and latency that monolithic chains avoid.
Protocol Spotlight: Live Experiments
The infrastructure for funding and sustaining open-source crypto protocols is undergoing a foundational shift, moving from monolithic platforms to specialized, modular components.
The Problem: Monolithic Funding is a Bottleneck
Platforms like Gitcoin Grants create a single point of failure for funding distribution, leading to high coordination overhead and inefficient capital allocation across disparate ecosystems.\n- Centralized curation limits innovation and creates governance capture risks.\n- Batch processing (e.g., quarterly rounds) is too slow for real-time developer needs.
The Solution: Hyperstructures for Credible Neutrality
Frameworks like Allo Protocol and RetroPGF enable a modular public goods stack. They separate the funding pool, distribution mechanism, and curation layer, creating unstoppable, fee-free systems.\n- Programmable strategies allow for quadratic funding, direct grants, or novel mechanisms.\n- Credible neutrality is enforced by code, not committees, reducing governance friction.
Live Experiment: Optimism's RetroPGF
Optimism's Retroactive Public Goods Funding is the largest-scale test of outcome-based funding, allocating $40M+ per round to contributors based on proven impact.\n- Shifts incentive alignment from speculation to tangible utility creation.\n- Iterative design (Rounds 1-3) demonstrates rapid mechanism evolution based on data.
Live Experiment: Nouns DAO's Streamed Funding
Nouns DAO automates continuous funding for public goods via streaming vesting contracts, providing predictable capital flows to projects like Giveth and Public Nouns.\n- Eliminates grant application overhead with perpetual funding streams.\n- Aligns long-term incentives between funders and builders through vesting cliffs.
The Modular Stack in Action: Clusters & Hats Protocol
Specialized layers are emerging for specific functions. Clr.fund provides minimal, on-chain quadratic funding. Hats Protocol modularizes decentralized roles and responsibilities.\n- Composability allows ecosystems to mix-and-match best-in-class components.\n- Reduced attack surface as failures are isolated to single modules, not the entire stack.
The Endgame: Autonomous, Algorithmic Ecosystems
The trajectory points towards fully automated funding mechanisms driven by verifiable metrics (e.g., usage, dependency graphs). Projects like Octant are experimenting with stakeholder-directed funding.\n- Removes human bias from allocation, focusing on protocol-defined KPIs.\n- Creates a flywheel where successful public goods attract more automated capital, accelerating ecosystem growth.
Counter-Argument: The Monolithic Bull Case
Monolithic architectures offer superior performance and a simpler developer experience by eliminating cross-layer coordination.
Monolithic architectures guarantee atomic execution. A single state machine like Solana or Monad processes transactions across DeFi, NFTs, and computation in one step. This eliminates the bridging risk and fragmented liquidity inherent in modular designs.
Developer velocity is the ultimate moat. Building on Ethereum L2s requires managing data availability costs and sequencer dependencies. A monolithic chain provides a single, predictable environment, which is why projects like Jito and MarginFi scale on Solana.
The performance ceiling is higher. Vertical integration allows for optimized hardware and shared security across all components. Modular chains like Celestia+EigenDA create coordination overhead that monolithic designs avoid by construction.
Evidence: Solana consistently processes over 3,000 TPS with sub-second finality for complex swaps, a benchmark no modular rollup stack currently approaches for general-purpose computation.
Risk Analysis: What Could Go Wrong?
The architectural battle between modular and monolithic designs for public goods infrastructure introduces new, systemic risks beyond simple smart contract bugs.
The Coordination Failure
Modularity fragments responsibility. A critical bug in a shared sequencer (e.g., Espresso, Astria) or data availability layer (e.g., Celestia, EigenDA) can cascade across hundreds of rollups, creating a systemic contagion event. Monolithic chains like Solana centralize blame but also focus the fix.
- Risk: No single entity can coordinate a global upgrade or bailout.
- Attack Surface: DA layer slashing, sequencer censorship, or bridge hacks become internet-scale threats.
The MEV Cartel Problem
Shared sequencing, intended to democratize MEV, may institutionalize it. A dominant sequencer set (e.g., via EigenLayer restaking) could form a de facto cartel, extracting value and censoring transactions across the modular ecosystem. This recreates the miner extractable value problem of Ethereum 1.0, but with higher stakes and more opacity.
- Risk: Economic centralization defeats decentralization goals.
- Vector: Restaked validation becomes a tool for coercion and rent-seeking.
The Complexity Death Spiral
Modular stacks (L2 -> DA -> Prover -> Sequencer) create exponential integration complexity. Each new layer adds latency, cost, and failure points. Developers spend cycles on interop glue code instead of application logic. The result is a fragile, over-engineered system where the "simplifier" (modularity) becomes the primary source of technical debt and unreliability.
- Risk: Innovation slows as system maintenance consumes all resources.
- Symptom: Proliferation of bespoke SDKs and brittle, unaudited bridges.
Monolithic Vendor Lock-In
Betting on a single monolithic chain (Solana, Monad) creates existential platform risk. A critical client bug, a governance capture, or a failed upgrade can permanently cripple the entire ecosystem. There is no modular fallback. This is the inverse of coordination failure: total coordination with zero redundancy.
- Risk: All applications share a single fate.
- Historical Precedent: See the repeated Solana network outages pre-Firedancer.
The Public Goods Funding Black Hole
Modularity commoditizes execution, making protocol revenue elusive. If rollups pay for DA and sequencing from monolithic profit centers, the modular stack becomes a low-margin utility. This starves public goods funding (e.g., Protocol Guild, Gitcoin Grants) that rely on a shared, prosperous economic base, potentially killing the ecosystem it aims to serve.
- Risk: Economic sustainability fails despite technical superiority.
- Example: High L1 revenue subsidizes cheap L2s, draining the commons.
The Interop Security Illusion
Cross-chain everything (via LayerZero, Axelar, Wormhole) is the killer app for modularity, but also its Achilles' heel. Each new bridge is a new trusted assumption. A modular world with 100 rollups requires ~5,000 trust-minimized bridges. The cryptographic and economic security of these connections is unproven at scale, creating a mesh of weakest links.
- Risk: A single bridge hack can drain assets across the entire ecosystem.
- Reality: Most "secure" bridges still rely on multisigs and oracles.
Future Outlook: The Hybrid Stack Wins
The optimal public goods stack is a hybrid model that strategically blends monolithic execution with modular data availability and settlement.
The monolithic execution layer wins for user-facing applications. The tight integration of execution, data, and consensus within a single environment like Solana or a high-performance L2 like Arbitrum provides the low-latency, atomic composability that DeFi and gaming demand. This is the performance-optimized core.
Modular components become specialized utilities for the monolithic core. The stack will outsource data availability to Celestia or EigenDA and leverage shared settlement layers like Espresso for cross-chain atomicity. This creates a cost-efficient, secure foundation without sacrificing the application's local performance.
The hybrid model defeats pure modular dogma. A fully modular chain, where every component is a separate marketplace, introduces latency and MEV risks that break complex applications. The future stack uses modularity for infrastructure, not for the primary user experience. Ethereum's rollup-centric roadmap is the canonical example of this hybrid approach.
Evidence: The market consolidates on this pattern. Major L2s like Arbitrum and Optimism are integrating external DA layers. Solana is exploring modular data solutions like Firedancer. This convergence proves the hybrid stack is the equilibrium for scalable, composable, and sustainable public goods.
Key Takeaways for Builders & Investors
The infrastructure for decentralized coordination is shifting from a one-size-fits-all model to a competitive landscape of specialized components.
The Modular Thesis Wins on Execution
Monolithic chains like Ethereum struggle with the 'blockchain trilemma' for every application. Modular architectures (Celestia, EigenDA, Avail) separate consensus, data availability, and execution, allowing each layer to optimize.\n- Specialization: Data layers compete on $/byte, execution layers on $/transaction.\n- Composability: Builders can mix-and-match components (e.g., Arbitrum Nitro + Celestia DA).\n- Speed: Enables parallel development and faster iteration cycles.
The Shared Sequencer is the New Battleground
Centralized sequencers in rollups create reorg risk and extract MEV. Shared sequencer networks (Espresso, Astria, Radius) are emerging as critical public goods for decentralized, cross-rollup block building.\n- Security: Decouples sequencing from execution, reducing single points of failure.\n- Interoperability: Enables atomic cross-rollup composability, unlocking new DeFi primitives.\n- MEV Management: Transparent, auction-based ordering becomes a protocol-level service.
Prover Markets Will Commoditize ZK
ZK-proof generation is computationally intensive, creating centralization pressure. Decentralized prover networks (RiscZero, Succinct, Gevulot) are emerging to create competitive markets for proof computation.\n- Cost Efficiency: Competition drives down cost of generating validity proofs.\n- Redundancy: Eliminates single prover failure risk for L2s and app-chains.\n- Accessibility: Makes ZK-tech accessible to any chain, accelerating the 'verification layer' future.
Interoperability Shifts from Bridges to Intents
Traditional asset bridges are insecure, fragmented points of failure. The future is intent-based protocols (Across, Socket, Chainlink CCIP) and shared messaging layers (LayerZero, Wormhole) that abstract cross-chain complexity.\n- User Experience: 'Swap anything to anywhere' without managing gas or liquidity pools.\n- Security: Moves risk from bridge contracts to battle-tested auction solvers and attestation networks.\n- Composability: Intents become a programmable primitive for cross-chain DeFi and NFTs.
Monolithic Chains are Now Niche App-Chains
General-purpose monolithic L1s (Solana, Sui, Aptos) will not disappear but will specialize. Their value shifts to providing ultra-optimized, vertically-integrated environments for specific high-throughput applications (e.g., DePIN, gaming, perps DEXs).\n- Performance: Sub-second finality and high TPS are non-negotiable for certain apps.\n- Simplicity: Single-stack development and unified liquidity reduce friction.\n- Trade-off: They accept less sovereignty and composability for raw speed.
The Stack is a Revenue Model
Public goods must be sustainable. Every layer of the modular stack—DA, sequencing, proving, interoperability—is becoming a fee-generating service with its own tokenomics. Investors must evaluate protocol revenue, not just TVL.\n- Fee Capture: Look for protocols with unavoidable, recurring demand (e.g., DA for every rollup).\n- Token Utility: Tokens must secure the network or pay for services, not just govern.\n- Valuation: Infrastructure will be valued on discounted cash flows, not speculative usage.
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