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Blog

The Future of Public Goods: Autonomous On-Chain Ecosystems

Discretionary grant committees are failing public goods. This analysis argues for a future where funding is automated, continuous, and embedded directly into protocol mechanics like Harberger taxes and network fees, creating self-sustaining ecosystems.

introduction
THE INCENTIVE MISMATCH

The Grant Committee is a Bug

Human grant committees are a legacy bug in public goods funding, replaced by autonomous on-chain ecosystems.

Grant committees are central points of failure. They rely on subjective, slow human judgment, creating bottlenecks and political capture that misallocate capital.

Autonomous ecosystems are the fix. Protocols like Optimism's RetroPGF and Gitcoin Grants automate funding via verifiable, on-chain contribution metrics, not committee votes.

The model shifts from proposals to proof. Builders earn by demonstrating usage (e.g., protocol revenue, TVL) instead of writing persuasive grant applications.

Evidence: RetroPGF Round 3 distributed $30M based on community votes on impact, a primitive step toward fully algorithmic allocation.

thesis-statement
THE MECHANISM

Thesis: Sustainability Through Embedded Automation

On-chain public goods achieve sustainability by embedding automated revenue logic directly into their core protocol infrastructure.

Protocol-native revenue streams replace donations. Projects like Optimism's RetroPGF and Ethereum's fee burn demonstrate that value capture must be a first-class citizen in the protocol design, not a secondary consideration.

Automated fee switches create predictable cash flows. The Uniswap governance token and Lido DAO treasury show that programmable, on-chain treasuries funded by protocol activity are superior to manual, off-chain grant programs.

Embedded automation eliminates governance overhead. A protocol with a self-funding smart contract (e.g., a fee splitter to a treasury) operates with lower coordination costs than a DAO that must vote on every expenditure, as seen in early MolochDAO models.

Evidence: Ethereum's EIP-1559 has burned over 4.5 million ETH since inception, creating a deflationary yield for ETH holders that funds network security without requiring a single governance vote.

PUBLIC GOODS FUNDING

Grant Efficiency vs. Automated Mechanisms: A Hard Numbers Comparison

Quantitative comparison of traditional grant frameworks versus on-chain, automated funding mechanisms for public goods.

Metric / FeatureTraditional Grant Programs (e.g., Gitcoin, Protocol Treasury)Retroactive Funding (e.g., Optimism RPGF, Arbitrum DAO)Continuous Automated Mechanisms (e.g., Protocol Revenue Splits, MEV Burn)

Time from Contribution to Funding

3-12 months

3-6 months (post-epoch)

< 1 block

Administrative & Voting Overhead

15-30% of grant pool

5-15% (curation & voting)

0% (algorithmic)

Funding Predictability for Builders

Low (discretionary)

Medium (retroactive, non-guaranteed)

High (formulaic, real-time)

Sybil/GR15 Attack Resistance

Low (requires complex sybil defense)

Medium (reputation-weighted voting)

High (economic stake required)

Capital Efficiency (Funds to Builders)

~70-85%

~85-95%

~98-100%

Primary Funding Source

Treasury dilution / donor funds

Protocol treasury / sequencer fees

Protocol revenue / MEV / transaction fees

Requires Explicit Proposal/Application

Examples in Production

Uniswap Grants, Ethereum Foundation

Optimism RPGF, Arbitrum DAO Grants

Lido stETH rewards, EIP-1559 burn, Osmosis taker fees

deep-dive
THE AUTOMATION STACK

Mechanics of an Autonomous Ecosystem

Autonomous ecosystems replace human governance with a self-executing stack of protocols and economic incentives.

Protocol-Governed Treasury Management initiates autonomy. Instead of multi-sig votes, a system like Superfluid Finance or Llama automates fund allocation based on pre-programmed KPIs, removing political bottlenecks and enabling continuous, real-time funding for contributors.

Automated Value Accrual creates a flywheel. Revenue from protocol fees or sequencer auctions (e.g., Arbitrum's surplus) is programmatically directed to a buyback-and-burn mechanism or staking rewards, directly linking ecosystem health to token value without manual intervention.

Credible Neutrality via Code is the core principle. The rules for upgrades, like Optimism's multi-stage security council sunset, are immutable and time-locked. This eliminates governance capture risks and establishes the system as a permanent, predictable public good.

Evidence: Ethereum's post-merge issuance policy is a foundational example; block rewards and burns execute autonomously based on network activity, creating a deflationary feedback loop without a central decision-maker.

protocol-spotlight
THE FUTURE OF PUBLIC GOODS

Protocols Building the Autonomous Future

The next wave of on-chain infrastructure moves beyond simple payments to self-sustaining, incentive-aligned ecosystems that fund and govern themselves.

01

Optimism's Superchain & The RetroPGF Flywheel

The Problem: Public goods funding is a coordination failure, relying on grants and donations. The Solution: The Superchain creates a network of L2s that share a portion of sequencer revenue, which is then distributed via Retroactive Public Goods Funding (RetroPGF) to developers who provided proven value. This creates a closed-loop economy.

  • $700M+ allocated across RetroPGF rounds to date.
  • Creates a direct financial incentive to build infrastructure and tooling that benefits the entire ecosystem.
$700M+
Funds Allocated
L2 Network
Revenue Source
02

Ethereum as a Protocol Sink via EIP-1559 & MEV

The Problem: Blockchains lack a native, sustainable economic engine beyond simple transaction fees. The Solution: EIP-1559's fee burn and the ethical capture/redistribution of MEV (e.g., via Flashbots SUAVE or CowSwap) transform Ethereum into a value sink. The network's security budget and public goods funding become tied to its own economic activity.

  • ~3.5M ETH burned since EIP-1559 launch.
  • MEV represents a $500M+ annual market ripe for redistribution.
3.5M ETH
Burned
$500M+
MEV Market
03

The Autonomous DAO: Lido & Protocol-Controlled Value

The Problem: DAOs are often governance theaters with treasuries of volatile native tokens, lacking sustainable yield. The Solution: Protocols like Lido accrue Protocol-Controlled Value (PCV) through staking fees, creating a perpetual, on-chain revenue stream governed by token holders. This treasury can fund development, grants, and strategic acquisitions autonomously.

  • $30B+ in staked assets under management.
  • Generates ~$300M annual protocol revenue for the DAO treasury.
$30B+
TVL
$300M
Annual Revenue
04

Cosmos & The App-Chain Revenue Model

The Problem: Applications on shared L1s compete for block space and cannot capture the full value they create. The Solution: The Cosmos SDK enables purpose-built app-chains with native tokens that capture 100% of transaction fees and MEV. This funds security (via validator staking rewards) and development directly, aligning all participants.

  • ~$50B combined market cap of Cosmos ecosystem tokens.
  • dYdX migrated from L2 to its own Cosmos chain to capture full fee revenue.
$50B
Ecosystem MCap
100%
Fee Capture
counter-argument
THE HUMAN EDGE

Steelman: The Case for Human Judgment

Fully autonomous on-chain ecosystems fail without human governance to resolve ambiguous, high-stakes decisions.

Human judgment resolves ambiguity. On-chain code executes predefined rules, but public goods require subjective evaluation of impact and fairness. A DAO's multisig is the circuit breaker for disputes that smart contracts cannot algorithmically settle.

Governance arbitrages complexity. Systems like Optimism's Citizen House and Arbitrum's Security Council exist because token-weighted voting is insufficient for nuanced technical or ethical forks. Human committees provide a final, accountable layer.

Evidence: The Ethereum DAO fork is the canonical case. An autonomous chain would have irreversibly lost user funds. Human intervention preserved the network's social contract, demonstrating that credible neutrality sometimes requires breaking code's neutrality.

risk-analysis
FAILURE MODES & ATTACK VECTORS

What Could Go Wrong? The Bear Case for Automation

Automation promises efficiency, but introduces systemic fragility. These are the critical vulnerabilities that could collapse an on-chain public goods ecosystem.

01

The Oracle Problem on Steroids

Autonomous systems rely on external data (price feeds, RNG, real-world events). A single corrupted oracle can trigger cascading failures across the entire ecosystem.\n- Single Point of Failure: Exploits like the $100M+ Mango Markets attack show the risk.\n- Data Manipulation: Adversaries can front-run or manipulate the data source, not the contract logic.

1
Corrupted Feed
$100M+
Attack Surface
02

The MEV Cartelization of Public Goods

Automated revenue capture (e.g., MEV from DEX arbitrage) intended to fund public goods can be extracted by sophisticated searchers and builders, centralizing power.\n- Extraction Over Contribution: Profits flow to Flashbots, Jito Labs, and private order flow auctions, not the commons.\n- Protocol Capture: The entities controlling the automated infrastructure become the de facto governors.

>90%
MEV Extracted
Oligopoly
Outcome
03

Immutable Logic in a Dynamic World

Smart contracts are immutable, but the world isn't. An autonomous system's rules cannot adapt to unforeseen regulatory shifts, market black swans, or novel attack vectors.\n- Governance Paralysis: DAO votes are too slow for emergency responses (see the $190M Nomad Bridge hack).\n- Code is Law, Until It's Not: Legal systems will intervene, creating a clash between immutable automation and mutable jurisdiction.

0
Adaptive Speed
Inevitable
Legal Conflict
04

The Tragedy of the Automated Commons

Without careful mechanism design, automated resource allocation leads to over-exploitation. Think yield farming mercenaries, but for perpetual protocol subsidies.\n- Incentive Misalignment: Actors optimize for extractable yield, not ecosystem health (see early Curve wars).\n- Sustainability Collapse: Automated treasuries can be drained faster than value is created, leading to a death spiral.

-100% APY
End State
Short-Term
Horizon
05

Complexity Breeds Unknowable Risk

Automated ecosystems are compositions of dozens of protocols (Chainlink, Gelato, EigenLayer). The interaction risk between these systems is combinatorial and untested.\n- Systemic Contagion: A failure in one automated component (e.g., a keeper network) can propagate silently.\n- Audit Impossibility: No single entity can fully model the risk surface of the entire automated stack.

N²
Risk Scaling
Unknown
Black Swan
06

The Plutocracy of Gas

Automation requires constant on-chain transactions, privileging those who can afford high, predictable gas fees. This creates a tiered system where only wealthy actors can participate in governance or revenue capture.\n- Censorship by Cost: Public good proposals can be outbid by private, profit-driven transactions.\n- L1/L2 Centralization: Automation migrates to cheaper chains, consolidating power and liquidity on a few L2s.

$0.01 vs $100
Gas Disparity
Oligopoly
L2 Landscape
future-outlook
THE AUTONOMOUS ECOSYSTEM

The 24-Month Outlook: From Experiments to Stack

Public goods funding evolves from grant-based patronage to self-sustaining, on-chain economic engines.

Protocols become sovereign economies. Projects like Optimism's RetroPGF and Arbitrum's sequencer revenue are the first primitive treasury. The next step is autonomous on-chain treasuries that algorithmically allocate capital to ecosystem contributors based on verifiable, on-chain metrics.

The stack consolidates around primitives. Fragmented tools like Coordinape and Clr.fund will be replaced by integrated protocol-native systems. This mirrors how Uniswap's fee switch debate prefigured the need for automated, transparent treasury management.

Evidence: Optimism's RetroPGF Round 3 allocated $30M across 501 contributors, proving demand. The inefficiency is the manual process; the next 24 months automate this with on-chain attestations and Hats Protocol-style role management.

takeaways
AUTONOMOUS PUBLIC GOODS

TL;DR for Time-Poor CTOs

Public goods funding is broken. The future is self-sustaining, on-chain ecosystems that bypass traditional governance.

01

RetroPGF is a Band-Aid, Not a Cure

Retroactive public goods funding (like Optimism's model) creates political gamesmanship and centralizes power in committees. The real solution is protocol-owned value flows that fund contributors in real-time, without committees.

  • Eliminates governance overhead and subjective voting
  • Aligns incentives via continuous, automated revenue splits
  • Examples: L2 sequencer fees funding core devs, MEV auctions funding protocol R&D
>90%
Less Governance
Real-Time
Payouts
02

The Protocol-as-City Model

Treat the protocol as a sovereign economy. Its native token is the currency; its blockspace and services are the taxable economic activity. This creates a self-funding flywheel for core infrastructure.

  • Sustainable Treasury: Protocol revenue (e.g., fees, MEV) automatically funds mandated public goods
  • Credible Neutrality: Removes human bias from funding decisions
  • Key Example: Ethereum's EIP-1559 burn could be partially diverted to a grants contract instead of full destruction
Auto-Funding
Treasury
0 Committees
Neutral
03

MEV: From Parasite to Lifeline

Maximal Extractable Value (MEV) is inevitable. Instead of fighting it, autonomous ecosystems capture and redirect it to fund public goods. This turns a systemic weakness into their greatest sustainable revenue source.

  • On-Chain Auctions: Sell block-building rights, funnel proceeds to dev pool
  • Example Models: Flashbots' SUAVE, CowSwap's CoW DAO treasury
  • Result: $100M+ annual potential for Ethereum core development, funded by the very activity that challenges it
$100M+
Annual Potential
Paradigm Shift
Incentives
04

Exit to Community is Non-Negotiable

Founder-led grants programs are a central point of failure. The end-state must be a fully autonomous, code-mandated funding mechanism that operates even if the founding team vanishes. This is the ultimate stress test for sustainability.

  • Immutable Rules: Funding logic is hardcoded, not managed by a multisig
  • Attacks the Bus Factor: Ensures project survival beyond initial team
  • Key Tech: Smart contracts with irrevocable logic, like Ethereum's validator reward distribution
100%
Uptime
0 Dependence
On Founders
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