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venture-capital-trends-in-web3
Blog

Why VCs Must Rethink 'Traction' in a Tokenized World

On-chain transaction volume is a vanity metric. This analysis deconstructs sybil-resistant traction, arguing for retained users and protocol-owned liquidity as the new benchmarks for VC due diligence in Web3.

introduction
THE DATA

The Sybil in the Machine

Token incentives create a hall of mirrors where user traction is a manufactured signal, forcing VCs to audit onchain behavior, not vanity metrics.

Token incentives distort traction signals. Protocol activity is a function of emission schedules, not organic demand. A project with high Total Value Locked (TVL) is often just a high-yield farm, not a product-market fit.

The Sybil attack is the default user. Projects like LayerZero and Optimism run sybil-hunting programs because most airdrop farmers are bots. Real user counts are a fraction of onchain addresses.

Audit the wallet, not the website. VCs must analyze transaction graphs via tools like Nansen or Arkham to separate mercenary capital from retained users. The metric is user retention after emissions end.

Evidence: The 'DeFi Summer' of 2020 saw protocols like SushiSwap achieve billions in TVL overnight, only to collapse by 90% when yield farming rewards were reduced, proving the traction was synthetic.

thesis-statement
THE CAPITAL PRIMACY

The Core Argument: Traction is a Function of Capital, Not Users

Protocol success in a tokenized ecosystem is measured by capital efficiency, not user counts.

Total Value Locked (TVL) is the primary metric. Daily active users are a vanity metric that obfuscates real economic activity. A protocol with 10,000 users moving billions in capital is more significant than one with a million users moving pennies.

Capital is the user in DeFi. Protocols like Aave and Uniswap are not judged by their frontend visitors but by the liquidity their smart contracts attract and utilize. The capital is the active participant, executing trades and loans autonomously.

Token incentives directly monetize traction. Projects like EigenLayer and Pendle demonstrate that staked capital, not registered accounts, defines network security and utility. Their success is a function of the economic weight they command.

Evidence: Arbitrum’s dominance was not won by its user count but by its $2.26B TVL and capital-efficient sequencer design, which attracted the liquidity that builders and users followed.

WHY VCS MUST RETHINK 'TRACTION'

Vanity Metrics vs. Signal Metrics: A Due Diligence Matrix

A comparison of traditional, easily-gamed vanity metrics against high-signal, on-chain indicators for evaluating tokenized protocols.

Metric / SignalVanity Metric (Traditional)Signal Metric (On-Chain)Why It Matters

User Growth

Total Registered Wallets

Active Addresses (7d) > $10 in Gas

Filters out airdrop farmers and sybils; measures economic activity.

Capital Efficiency

Total Value Locked (TVL)

TVL / Protocol Revenue (P/S Ratio)

Reveals if capital is productive or just parked for yield. A ratio >200 is suspect.

Fee Sustainability

Cumulative Fees Generated

Protocol Revenue Retention >20%

Shows if the protocol captures value or leaks it to LPs/sequencers.

Developer Momentum

GitHub Stars

Unique Contract Deployers (30d)

Measures actual builder adoption, not passive interest.

Demand Elasticity

Transaction Count

Fee Burn Rate (e.g., EIP-1559)

Proves users are willing to pay to use the network, creating deflationary pressure.

Governance Health

Token Holder Count

Proposal Participation >5% of Supply

Surface-level decentralization vs. actual stakeholder engagement.

Economic Security

Market Cap

Staked Value / Annualized Fees > 1 year

Assesses if security spend (staking rewards) is justified by protocol utility.

deep-dive
THE NEW TRACTION

Deconstructing Protocol-Owned Liquidity: The Ultimate Retention Tool

Protocol-Owned Liquidity (POL) redefines traction from user growth to capital efficiency and protocol sovereignty.

Protocol-Owned Liquidity is capital efficiency. Traditional VC traction metrics like TVL are a liability; it is mercenary capital that leaves for higher yields. POL, as pioneered by OlympusDAO, converts this liability into a permanent, protocol-controlled asset, eliminating the recurring cost of liquidity mining.

POL creates a self-reinforcing flywheel. Revenue from protocol fees (e.g., swap fees on Uniswap) buys back and stake the native token, increasing the protocol's balance sheet. This creates a positive feedback loop where protocol growth directly accrues value to the treasury, not external LPs.

The metric is treasury runway, not monthly users. A protocol with $50M in POL and a 5% yield from its own operations has a perpetual, decentralized revenue stream. This makes the protocol capital-efficient and anti-fragile, independent of volatile market incentives.

Evidence: Frax Finance demonstrates this model. Its stablecoin protocol uses its POL (sFRAX, FXS) to bootstrap liquidity for its frxETH liquid staking derivative, creating a vertically integrated DeFi stack where each product reinforces the other's liquidity and utility.

counter-argument
THE METRIC THAT MATTERS

The Bull Case for Volume: Steelmanning the Old Guard

Tokenized liquidity and composability make on-chain volume the only defensible traction metric for VCs.

Tokenized liquidity is permanent traction. Traditional SaaS metrics like MAU fail because on-chain protocols are permissionless infrastructure, not walled gardens. A protocol's total value locked (TVL) and daily transaction volume are public, verifiable, and directly monetizable through fees.

Composability creates network effects. A protocol like Uniswap or Aave becomes more valuable as it's integrated into other dApps, a flywheel traditional software cannot replicate. This composability premium is captured in its volume, not its user count.

Volume measures economic security. High-fee revenue from volume funds protocol-owned liquidity and security budgets, creating a virtuous cycle that outcompetes subsidized, VC-funded growth. Protocols like EigenLayer monetize security directly, making revenue the ultimate KPI.

Evidence: Arbitrum consistently processes over $1B in weekly volume, generating millions in sequencer fees—a revenue stream more defensible than any private company's 'active users' metric.

case-study
DECONSTRUCTING METRICS

Case Studies in Real vs. Fake Traction

Token incentives distort traditional growth signals, demanding forensic analysis of on-chain activity.

01

The Yield Farming Mirage

High TVL is a vanity metric when it's just mercenary capital chasing unsustainable APY. Real traction is measured by retention after emissions end and protocol-owned liquidity.\n- Real Signal: Curve's >70% veCRV lock-up rate post-incentives.\n- Fake Signal: A $2B TVL that collapses to $200M when token rewards dry up.

-90%
TVL Churn
70%+
Real Retention
02

The Airdrop Farmer vs. The Real User

Sybil attacks and airdrop farming generate fake user counts. Real traction is defined by sustainable fee revenue and recurring interaction depth.\n- Real Signal: Uniswap's $1B+ in annualized fees from ~400k monthly active traders.\n- Fake Signal: 5M+ "users" from a Layer 2 airdrop with <5% returning for a second transaction.

$1B+
Annual Fees
<5%
Farmer Retention
03

The Governance Ghost Town

High token distribution ≠ an active community. Real traction is proposal participation rate and delegation to knowledgeable entities. Fake traction is token voting dominated by whales and VCs with no discourse.\n- Real Signal: MakerDAO's 1000+ MIPs and active forum debate.\n- Fake Signal: A 99.9% voter approval rate with <1% of tokens participating.

1000+
Real Proposals
<1%
Fake Participation
04

The Integrator vs. The Grifter

Being listed on a major front-end like 1inch is not a moat. Real traction is protocols building custom integrations because your primitive is essential.\n- Real Signal: Chainlink's $10T+ in on-chain transaction value enabled.\n- Fake Signal: Paying for a "strategic partnership" press release with zero subsequent developer activity.

$10T+
Value Secured
0
Meaningful Integrations
05

The Volume Wash Trading Trap

CEX-style wash trading migrated to DEXs via MEV bots and self-dealing. Real traction is organic volume from unique trading pairs and consistent fee generation.\n- Real Signal: Uniswap v3's volume concentration in major ETH/USDC pools.\n- Fake Signal: A new DEX showing $500M daily volume on a single obscure memecoin pair.

1 Pair
Fake Volume Source
100+ Pairs
Real Diversity
06

The Protocol Sinkhole

Token emissions that flow directly to the team treasury are a wealth transfer, not growth. Real traction is a positive flywheel where fees accrue to stakers or are burned.\n- Real Signal: Ethereum's ~$10B in annual fee burn, reducing net supply.\n- Fake Signal: A 20% APY where 15% is newly minted tokens sent to the foundation.

$10B
Value Burned
15% APY
Inflation Tax
investment-thesis
THE METRIC SHIFT

The New VC Playbook: Allocating to Capital Retention

Venture capital must shift its primary success metric from user traction to protocol-owned capital efficiency.

Traditional traction metrics are obsolete in a world where user activity is subsidized by token emissions. Daily active wallets and transaction volume are vanity metrics that mask capital inefficiency and mercenary liquidity.

The new KPI is TVL-Adjusted Revenue. This measures the protocol's ability to generate fees from the capital it retains, not just the capital it temporarily attracts. Protocols like Aave and Uniswap are now judged on sustainable yield, not speculative inflows.

Capital retention requires superior economic design. This means analyzing staking mechanics, fee distribution, and governance bribes with the same rigor as product-market fit. A protocol that leaks value to LayerZero OFTs or EigenLayer restakers is a leaky bucket.

Evidence: Protocols with high fee-to-supply inflation ratios consistently outperform. Lido's stETH dominance is not a marketing win; it's a capital retention victory over lower-yielding competitors.

takeaways
VC DUE DILIGENCE

TL;DR: The New Traction Checklist

Traditional SaaS metrics are obsolete. In a tokenized world, traction is defined by protocol mechanics, capital efficiency, and on-chain verifiability.

01

TVL is a Vanity Metric, Focus on Protocol Revenue

Total Value Locked is easily inflated by incentives and is not a proxy for sustainable demand. Real traction is measured by fees captured from users, not capital parked.

  • Key Metric: Protocol Revenue (e.g., Uniswap's swap fees, Lido's staking fees).
  • Signal: Fee-to-Supply Ratio > 0.1% indicates real utility.
  • Noise: Incentivized farming pools on Aave or Compound that drive TVL but not usage.
$1B+
Real Revenue
0.01%
Fee Yield
02

User ≠ Wallet, Engagement is On-Chain

Monthly Active Wallets (MAW) is misleading; a single user can have dozens. True user traction is a function of repeat, economically meaningful interactions.

  • Key Metric: Retention Cohorts tracked via on-chain activity (e.g., 30-day return rate).
  • Signal: Protocol-Specific Actions like recurring swaps on Uniswap, re-staking on EigenLayer.
  • Noise: Sybil wallets created for a single airdrop claim or gas-sponsored transaction.
30%+
D1 Retention
>5
Tx/User
03

The Composable Moat: Integrations > Marketing

In DeFi and infra, traction is not about direct users but about being embedded in other protocols' core flows. This creates defensible, compoundable demand.

  • Key Metric: Number of Protocol Integrations (e.g., Chainlink's oracle feeds, Arbitrum's L3 deployments).
  • Signal: Being the default choice for a critical function (e.g., USDC for stable liquidity, Celestia for data availability).
  • Noise: One-off partnerships announced solely for PR with no on-chain integration footprint.
100+
Integrations
80%
Market Share
04

Token Velocity Kills Valuation

A high-velocity token is a failed economic model. Traction is evidenced by token utility that drives holding, not just transacting. Mere governance is insufficient.

  • Key Metric: Velocity Ratio (Trading Volume / Market Cap). Aim for <0.5.
  • Signal: Staking/Locking Mechanisms with real yield (e.g., Lido's stETH, Aave's aTokens).
  • Noise: Governance tokens that are immediately dumped post-airdrop or have no cashflow rights.
<0.3
Healthy Velocity
15% APY
Stake Yield
05

Decentralization is a Scaling Feature

Centralized scaling is easy but creates a single point of failure and regulatory attack. Real long-term traction requires credible decentralization of validators, governance, and development.

  • Key Metric: Nakamoto Coefficient (entities needed to compromise the network).
  • Signal: Independent Client Diversity (e.g., Ethereum's multiple execution/consensus clients).
  • Noise: "Decentralized" networks where >33% of stake is controlled by the foundation or a single cloud provider.
>50
Nakamoto Coeff.
5+
Client Teams
06

Look Beyond Ethereum L1 Gas Wars

Traction on Ethereum Mainnet is expensive and crowded. Real adoption is happening on L2s, app-chains, and alt-L1s where user experience is viable. Measure traction in the context of the chain's own ecosystem.

  • Key Metric: Dominance within its Vertical (e.g., dYdX on its app-chain, Blur on Blast).
  • Signal: Sustainable Activity with low, predictable fees driving organic use.
  • Noise: Projects paying users' gas fees on Ethereum to artificially inflate mainnet activity metrics.
$0.01
Avg. Tx Cost
90%
Vertical Share
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Why VCs Must Rethink Traction in a Tokenized World | ChainScore Blog