Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
public-goods-funding-and-quadratic-voting
Blog

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 STACK WARS

Introduction

The infrastructure for public goods is fracturing into a decisive battle between modular specialization and monolithic integration.

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.

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 ARCHITECTURAL FRONTIER

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 STACK WARS

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.

PUBLIC GOODS STACK

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 / MetricMonolithic 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 ARCHITECTURAL TRADE-OFF

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
THE FUTURE OF THE PUBLIC GOODS STACK

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.

01

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.

~60 days
Round Cycle
Single Point
Failure Risk
02

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.

$50M+
Deployed via Allo
0% Fees
Protocol Take
03

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.

$100M+
Total Distributed
3 Rounds
Mechanism Iteration
04

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.

Continuous
Capital Flow
0 Applications
Overhead
05

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.

Modular
Architecture
Isolated Risk
Security Model
06

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.

Algorithmic
Allocation
KPI-Driven
Verification
counter-argument
THE INTEGRATED STACK

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
THE PUBLIC GOODS STACK

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.

01

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.
100+
Rollups Affected
Days
Recovery Time
02

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.
$B+
Extractable Value
Oligopoly
Market Structure
03

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.
5+
Layers of Stack
+300ms
Latency Add
04

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.
100%
Dependency
Hours
Network Halt
05

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.
-90%
Fee Capture
Drained
Funding Pool
06

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.
$5B+
Bridge TVL at Risk
5,000+
Connection Points
future-outlook
THE ARCHITECTURE

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.

takeaways
THE PUBLIC GOODS STACK

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.

01

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.

~100x
Cheaper DA
Modular
Dominant Design
02

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.

$1B+
MEV at Stake
Core Primitive
For Rollups
03

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.

-90%
Proving Cost
ZK-Everywhere
Endgame
04

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.

$2B+
Bridge Hacks
Intent-Based
New Standard
05

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.

~400ms
Finality
App-Specific
Optimization
06

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.

$10B+
Annual Fees
Cash Flow
New Metric
ENQUIRY

Get In Touch
today.

Our experts will offer a free quote and a 30min call to discuss your project.

NDA Protected
24h Response
Directly to Engineering Team
10+
Protocols Shipped
$20M+
TVL Overall
NDA Protected Directly to Engineering Team
Public Goods Stack: Modular vs Monolithic Architecture | ChainScore Blog