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web3-social-decentralizing-the-feed
Blog

Why Your Engagement Data Should Be a Non-Custodial Asset

Platforms like X and TikTok hold your interaction history hostage. Treating engagement data as a non-custodial, portable asset is the prerequisite for breaking lock-in, enabling user-owned algorithms, and creating a competitive market for social feeds.

introduction
THE ASSET

Introduction

On-chain engagement data is a stranded, high-value asset that protocols currently forfeit to centralized intermediaries.

Engagement data is an asset because it directly signals user preference and liquidity intent, creating a tradable information advantage for protocols like Uniswap or Aave.

Current architectures are custodial, with platforms like Discord and X holding your user graphs, while analytics giants like Dune Analytics monetize the derivative insights.

Non-custodial ownership shifts power, allowing protocols to programmatically reward users and build Sybil-resistant reputation systems without middlemen.

Evidence: The $10B+ valuation of centralized data brokers proves the market; on-chain, EigenLayer restakers demonstrate the value of provable, portable engagement.

thesis-statement
THE DATA

The Core Thesis: Data Portability Precedes Algorithmic Sovereignty

Your on-chain engagement data is a non-custodial asset that must be portable before you can own the algorithms that use it.

Data is the non-custodial asset. Your transaction history, social graph, and reputation on platforms like Farcaster or Lens are on-chain. This data is already self-custodied in your wallet, unlike your Google search history.

Portability enables sovereignty. You cannot own the algorithm (the 'sovereignty') if you cannot move your data. Portability via standards like EIP-7212 or cross-chain attestations is the prerequisite for competitive algorithm markets.

Current platforms are data silos. Aave Governance loyalty or Uniswap LP history is trapped. Without portable attestations, you are locked into a single platform's governance model and reward system.

Evidence: The rise of intent-based architectures like UniswapX and CowSwap demonstrates the market demand for user sovereignty over execution. The next layer is sovereignty over data-driven curation and discovery.

USER DATA SOVEREIGNTY

Custodial vs. Non-Custodial: A Data Model Comparison

Quantifying the trade-offs between centralized data silos and on-chain, user-owned data models for engagement and identity.

Feature / MetricCustodial Model (e.g., Web2, Centralized Exchanges)Hybrid Model (e.g., MPC Wallets, Social Recovery)Non-Custodial Model (e.g., Smart Contract Wallets, On-Chain Graphs)

Data Ownership & Portability

Conditional (via API)

Single Point of Failure

User Consent for Data Monetization

Varies by Provider

Sybil-Resistant Identity Proof

Protocol Revenue Share for Users

0%

0%

Up to 100% (e.g., EigenLayer, EigenDA)

Data Deletion Risk

Provider Discretion

Provider Discretion

Immutable (Persists while chain exists)

Integration with DeFi & dApps

Via Bridged APIs

Via Wallet Abstraction

Native (e.g., Uniswap, Aave, Farcaster)

Auditability & Transparency

Opaque

Selective

Fully Transparent (Public Ledger)

deep-dive
THE DATA

The Mechanics: From Silos to Sovereign Graphs

User engagement data must transition from centralized silos to user-owned, portable assets.

Engagement data is currently a liability stored in centralized databases like Google Analytics and Mixpanel. This architecture creates security risks, compliance overhead, and prevents users from owning their digital footprint.

Non-custodial data transforms it into an asset by storing it in a user-controlled wallet, similar to a token. This enables portable reputation across dApps without re-authentication, reducing friction and sybil attack surfaces.

Sovereign graphs are the new primitive, a user-centric alternative to The Graph's protocol-centric indexing. Users cryptographically attest to their own actions, creating a verifiable, self-sovereign activity ledger.

Evidence: Farcaster's on-chain social graph demonstrates this model, where user identities and social connections are portable assets, not platform-locked data.

protocol-spotlight
THE DATA SOVEREIGNTY STACK

Protocols Building the Foundation

Your engagement, reputation, and attention are valuable assets. These protocols ensure you own them.

01

The Problem: Your Social Graph is a Corporate Asset

Platforms like X and Facebook monetize your connections and activity while you get nothing. This data is locked in silos and used to train proprietary AI models.

  • Zero portability: Your reputation resets on every new app.
  • Value extraction: Your attention is sold to advertisers.
  • Centralized control: Platforms can de-platform you, erasing your digital identity.
0%
User Ownership
$100B+
Annual Ad Revenue
02

The Solution: Lens Protocol & Farcaster

These social graphs are non-custodial primitives. Your profile, posts, and followers are on-chain assets you control.

  • True portability: Take your followers and content to any client built on the protocol.
  • Direct monetization: Earn via collectibles, subscriptions, and tipping without a 30% platform tax.
  • Censorship-resistant: Your identity is anchored to your wallet, not a corporate ToS.
500k+
Profiles Minted
100%
User-Owned
03

The Problem: Your On-Chain Reputation is Fragmented

Your DeFi history, DAO contributions, and NFT holdings are scattered across chains. This fragmentation prevents composability and forces you to rebuild trust from zero.

  • No unified identity: A whale on Arbitrum is a newbie on Solana.
  • Inefficient sybil resistance: Protocols waste millions on ineffective airdrop farming filters.
  • Missed opportunities: Your real credibility isn't recognized by new applications.
50+
Chain Silos
$1B+
Wasted on Sybils
04

The Solution: EigenLayer & EigenDA for Attestations

EigenLayer's restaking and data availability layer (EigenDA) enable secure, portable attestations about your on-chain behavior.

  • Universal reputation: A verifiable proof of your Ethereum staking history or DAO voting can be used across ecosystems.
  • Sybil-proof credentials: Projects can source trust from Ethereum's validator set.
  • New primitive: Enables intent-based applications that understand your context and history.
$15B+
TVL Restaked
~200k
Active Validators
05

The Problem: Your Attention Has No Equity

You watch videos, read threads, and create memes that drive platform growth. You get engagement dopamine, the platform gets equity and revenue.

  • Value misalignment: Your contributions increase a company's valuation, not your own.
  • No perpetual stake: Your past attention generates no ongoing yield.
  • Passive consumption: The economic model incentives scrolling, not building.
0%
Creator Equity
3-5h
Daily Avg. Use
06

The Solution: Attention Derivatives & DePIN

Protocols like Render (RNDR) and Livepeer (LPT) tokenize and reward compute contributions. The next wave tokenizes attention.

  • Attention staking: Lock tokens to signal value, earn from the growth you create.
  • Proof-of-Engagement: Verifiable metrics become a tradable asset for creators and curators.
  • New business models: Enables ad-free experiences funded by user-owned attention pools, not advertisers.
$2B+
DePIN Market Cap
100k+
GPU Nodes
counter-argument
THE REALITY CHECK

The Steelman Counter-Argument: Is This Just Idealism?

A critique of the non-custodial data model, addressing its practical hurdles and the inertia of existing platforms.

The custodial model works. Centralized platforms like Google and Facebook deliver seamless, free services by monetizing aggregated user data, a proven and scalable business model that funds R&D and infrastructure.

User apathy is the dominant force. The majority of users prioritize convenience over sovereignty, a reality demonstrated by the slow adoption of self-custody wallets versus Coinbase's managed offerings.

Technical friction kills adoption. Managing private keys, paying gas fees for data transactions, and navigating EIP-4337 Account Abstraction wallets creates a UX chasm most consumers will not cross.

Evidence: The failure of early decentralized social graphs like Lens Protocol to reach mainstream scale, contrasted with Farcaster's recent growth by simplifying custody, proves the market's current tolerance for trade-offs.

risk-analysis
ENGAGEMENT DATA AS A LIABILITY

The Bear Case: What Could Go Wrong?

Centralized custody of user data and social graphs creates systemic risk and misaligned incentives.

01

The Data Silos of Web2

Platforms like Twitter (X) and Discord treat your social graph and engagement history as their proprietary asset. This creates vendor lock-in and prevents composability.\n- Zero Portability: Your follower list and community reputation are non-transferable.\n- Extractive Monetization: Platforms profit from your data without sharing value back.\n- Censorship Risk: Centralized control allows arbitrary deplatforming.

100%
Locked In
$0
User Share
02

Protocol-Level Rent Extraction

Even decentralized apps can become custodians. Lens Protocol and Farcaster hold your social graph on their smart contracts, creating a new form of protocol risk.\n- Upgrade Keys: Admin keys can change core logic, potentially freezing or altering your data.\n- High Migration Cost: Switching social layers requires rebuilding your entire network from scratch.\n- Monopoly Pricing: Protocol fees can be raised unilaterally on your now-essential social asset.

1
Single Point
High
Switch Cost
03

The Interoperability Illusion

Without true user custody, cross-protocol composability fails. Your engagement data in Galxe or Layer3 cannot natively prove reputation in a DeFi pool or DAO.\n- Fragmented Identity: Achievements and history are siloed per application.\n- No Verifiable Provenance: Data authenticity depends on the issuing platform's integrity.\n- Stunted Innovation: Developers cannot build novel products atop a unified, user-owned social layer.

0
Native Comps
High
Friction
04

The Regulatory Attack Vector

Custodial data models make entire ecosystems vulnerable to GDPR, MiCA, or OFAC sanctions. A single legal action against a core platform can censor global user bases.\n- KYC/AML Creep: Compliance pressures force platforms to collect invasive personal data.\n- Asset Seizure Risk: A sanctioned address list could lead to frozen social assets.\n- Jurisdictional Arbitrage: Users are subject to the legal domicile of the platform, not their own.

Global
Compliance Risk
Single
Failure Point
05

The Valuation Black Box

When you don't own your engagement data, you cannot collateralize or directly monetize it. Platforms capture all the network value while users provide the network effects.\n- Unbanked Social Capital: Your influence has no on-chain financial utility.\n- Opaque Algorithms: Feed ranking and visibility are controlled for platform benefit, not user growth.\n- Missed Airdrops: Value accrual from ecosystem growth is captured by token holders, not active users.

$0
User Equity
100%
Platform Capture
06

The Technical Debt Time Bomb

Building on custodial data layers creates irreversible technical debt. Migrating petabytes of user data to a new standard is a multi-year, billion-dollar engineering challenge.\n- Legacy Lock-in: Apps are built to specific API schemas, not open standards.\n- Data Corruption: Migration events often lose fidelity or provenance.\n- Community Fracture: Network effects shatter during transitions, destroying value.

Years
Migration Time
High
Value Loss
future-outlook
THE NON-CUSTODIAL ASSET

The 24-Month Outlook: A Cambrian Explosion of Feeds

User engagement data will transition from a siloed liability to a portable, composable asset class.

Engagement data becomes an asset. Today, platforms like X and Farcaster own your social graph. On-chain, your follows, likes, and content interactions are public state. This state is a verifiable asset you control, not a corporate database entry.

Data feeds will be permissionless infrastructure. Projects like RSS3 and The Graph index this on-chain activity. In 24 months, these feeds will be as fundamental as RPC endpoints, enabling any dApp to query and build on your portable reputation.

Composability drives value discovery. A Lens Protocol post can be a POAP-gated ticket, a Uniswap governance signal, and a Galxe campaign credential simultaneously. Your data's value multiplies with each new integration, creating network effects you own.

Evidence: Farcaster's Frames processed 5M+ transactions in 3 months, proving users will interact with composable apps inside social feeds. This is the demand signal for portable data assets.

takeaways
NON-CUSTODIAL ENGAGEMENT

TL;DR: Key Takeaways for Builders and Investors

User engagement data is the new oil, but centralized platforms own the refinery. Here's why it must be a user-owned asset.

01

The Problem: Data Silos & Platform Risk

User activity is trapped in walled gardens like X/Twitter or Discord. Platforms can de-platform, change APIs, or monetize data without user consent, creating existential risk for projects.

  • Vendor Lock-in: Your community graph is not portable.
  • Value Leakage: Platforms capture ~30-40% of the engagement value.
  • Single Point of Failure: API changes can break your entire growth engine overnight.
100%
Platform Controlled
0%
User Owned
02

The Solution: Portable Social Graphs

Protocols like Lens Protocol and Farcaster treat social connections as on-chain, non-custodial assets. This enables true user sovereignty and composability.

  • Composability: Builders can permissionlessly innovate on a shared social layer.
  • User Alignment: Users own their network, reducing churn and increasing loyalty.
  • New Models: Enables novel mechanics like social DeFi, credential-based airdrops, and decentralized reputation.
1M+
Profiles (Lens)
200k+
Daily Casts (Farcaster)
03

The Mechanism: Verifiable Credentials & ZKPs

Tools like Worldcoin (Proof of Personhood) and Sismo (ZK badges) allow users to prove specific traits or achievements without revealing identity, creating a trustless reputation layer.

  • Sybil Resistance: Enables fair distribution and governance.
  • Selective Disclosure: Users prove they are, e.g., an OG holder or active contributor, without doxxing.
  • Cross-Protocol Utility: A credential from Gitcoin Passport can be used across hundreds of dApps.
ZK
Privacy
5M+
World ID Users
04

The Business Model: Aligning Incentives

When users own their data, monetization shifts from ads to direct value capture. Think user-owned marketplaces and data dividends.

  • Direct Monetization: Users can license their attention or data via smart contracts.
  • Protocol Revenue: Fees are shared with users and builders, not a central corp.
  • Case Study: Brave Browser and Basic Attention Token (BAT) demonstrated a ~50M MAU model for user-paid attention.
50M
MAU (Brave)
>0%
User Revenue Share
05

The Builders' Playbook: Composable Data

Stop building monolithic apps. Build lean protocols that plug into existing social graphs and credential systems. Use Lens API, Farcaster Frames, and EAS (Ethereum Attestation Service).

  • Faster Growth: Bootstrap from an existing user base, not zero.
  • Reduced Cost: No need to build your own friending/following logic.
  • Innovation Frontier: The next Uniswap or Blur will be built on social primitives.
10x
Faster Dev Time
-70%
Customer Acq. Cost
06

The Investor Lens: The Data Asset Stack

Invest in the infrastructure layer, not just the apps. The stack includes data availability (EigenLayer, Celestia), ZK coprocessors (Risc Zero, Axiom), and oracles (Pyth, Chainlink) for off-chain data.

  • Infrastructure Moats: These are the AWS of user-owned data.
  • Accumulating Value: As more data is attested on-chain, the base layers become more valuable.
  • Metrics to Track: Attestations per day, unique credential issuers, cross-protocol usage.
$1B+
TVL (EigenLayer)
10k+
Schemas (EAS)
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