Attention is a commodity. The traditional web2 model extracts user attention to sell ads. Web3 protocols like Farcaster and friend.tech tokenize attention, allowing users to capture value from their social graphs and engagement.
Why Attention Mining is the New Business Model
A technical breakdown of how protocols like Farcaster and Lens are flipping the attention economy by rewarding users with tokens for their focused engagement, moving from extraction to compensation.
The Attention Extraction Scam is Over
Attention mining replaces ad-based revenue by directly monetizing user engagement and data contributions on-chain.
Mining replaces extraction. Users are not products; they are liquidity providers for data. Every post, like, and share becomes a verifiable on-chain action that accrues value to the participant, not just the platform.
Protocols capture the premium. The business model shifts from selling user data to capturing fees from the attention economy's native transactions. This creates sustainable revenue aligned with user growth, unlike the volatile ad market.
Evidence: Farcaster's frames generated over 5M transactions, demonstrating that monetizable user intent flows through protocol-level interactions, not centralized ad auctions.
Attention Mining: The First-Principles Shift
Attention Mining monetizes user engagement as a direct, programmable asset, replacing indirect ad-based revenue.
Attention Mining is a protocol-level primitive that treats user engagement as a direct, on-chain resource. This creates a new revenue model where protocols pay users for their time and data, not just their capital. It inverts the Web2 model where platforms like Google and Meta extract value from user attention without compensation.
The mechanism is a programmable subsidy. Protocols like Friend.tech and Farcaster allocate native tokens or points based on measurable actions—posts, replies, shares. This is not airdrop farming; it's a continuous, verifiable stream of value for provable contributions to network growth and data liquidity.
This shifts value from applications to users. Traditional models capture value at the app layer (e.g., Uniswap fees to LPs, not swappers). Attention Mining routes value to the attention layer, making users the primary economic beneficiaries of their own activity. It commoditizes the application.
Evidence: Farcaster's Frames demonstrate this. A Frame is an interactive app embedded in a cast. Its viral distribution is powered by the underlying $DEGEN token rewards for engagement, not by the Frame developer's marketing budget. The business model is the distribution.
The Web3 Social Stack: From Extraction to Mining
Social platforms no longer need to sell ads; they can directly monetize user engagement and data sovereignty.
The Problem: The Ad-Based Attention Economy
Platforms like Facebook and X (Twitter) extract value by selling user attention and data to advertisers. The user is the product, creating misaligned incentives and privacy erosion.
- ~$200B annual ad revenue for Meta, zero for users.
- Algorithms optimize for outrage, not value.
- Data silos create vendor lock-in and stifle innovation.
The Solution: Programmable Social Graphs
Protocols like Lens and Farcaster decouple social identity and data from applications, turning the social graph into a composable public good.
- Users own followers and content via NFTs & on-chain storage.
- Developers build without permission on a shared user base.
- Enables cross-app reputation and monetization.
The Mechanism: Attention Mining & Points
Platforms reward measurable engagement (likes, casts, replies) with tokens or points, aligning growth with user incentives. This is the core of Friend.tech and Farcaster Frames.
- Turns daily active users into daily active miners.
- Points programs create anticipation and loyalty pre-token.
- Directly monetizes community, not advertisers.
The Infrastructure: Data Availability & Storage
Scalable, cheap storage layers like Arweave, Ceramic, and EigenLayer AVS are critical for storing profile data and content at social scale.
- ~$0.01 cost to store a post permanently.
- Enables fully decentralized feeds and censorship resistance.
- Data availability ensures social graphs are always accessible.
The Flywheel: Composability Drives Utility
On-chain social actions become inputs for DeFi, gaming, and governance. A like can be a Sybil-resistant vote or a loyalty proof for an airdrop.
- Farcaster Frames embed swap interfaces directly in feeds.
- Lens publications can be used as collateral in lending markets.
- Creates a virtuous cycle of utility attracting users.
The Endgame: User-Owned Network Effects
The final shift: the value accrual flips from platform shareholders to user-participants. This is the promise of DeSoc and projects like CyberConnect.
- Tokens align economic and social capital.
- Protocol revenue is distributed to engaged users.
- Creates anti-fragile, community-owned networks immune to enshittification.
The Mechanics of the Attention Mine
Attention Mining monetizes user engagement by converting it into a direct, protocol-owned revenue stream.
Attention Mining is a protocol-owned business model. It captures the value of user activity—like trades, votes, or social posts—by issuing a native token as a reward. This creates a self-reinforcing economic loop where engagement fuels token demand and protocol revenue, unlike the extractive ad models of Web2 platforms like Facebook.
The model inverts the traditional ad-tech stack. Instead of selling user data to third-party advertisers, the protocol directly monetizes user intent. This aligns incentives; users are rewarded for their attention, and the protocol's treasury grows from the value of the aggregated activity, similar to how Uniswap captures fees from swap volume.
Proof-of-Attention replaces Proof-of-Work. The computational work is the user's engagement, validated on-chain. Projects like Farcaster demonstrate this, where user casts and interactions generate protocol fees, creating a sustainable revenue model independent of venture capital or token inflation.
The key metric is Attention Yield. This measures the revenue generated per unit of user engagement, analogous to TVL for DeFi. High-yield protocols, like those with integrated CowSwap solver competition or UniswapX flow, prove the model's viability by converting attention into measurable, on-chain value.
Attention Models: Web2 Extraction vs. Web3 Mining
A comparison of how value is captured from user attention and data across dominant paradigms.
| Core Metric / Mechanism | Web2 Platform (Extraction) | Web3 Protocol (Mining) | Hybrid Model (e.g., Farcaster) |
|---|---|---|---|
Primary Revenue Source | Targeted Advertising (e.g., Meta, Google) | Protocol Fees & MEV Capture (e.g., Uniswap, EigenLayer) | Optional Premium Features & Gas Subsidies |
Value Accrual Target | Corporate Shareholders | Token Holders & Active Users | Token Holders & Ecosystem Developers |
User Data Ownership | Custodial (Client) / Non-Custodial (On-Chain) | ||
Monetization of Attention | Sell user graphs to advertisers | Direct fee sharing for liquidity/staking | Monetize client-specific features |
User Payout for Engagement | 0% of generated ad revenue | Up to 100% via staking/yield (e.g., EigenLayer, The Graph) | 0% of protocol revenue, potential client rewards |
Platform Lock-in via | Proprietary Social Graph & Data Silos | Portable Reputation & On-Chain Assets | Social Graph Portability, Client Lock-in |
Key Performance Metric | Daily Active Users (DAU) | Total Value Secured (TVS) / Total Value Locked (TVL) | Daily Active Casters (DAC) |
Governance Control | Centralized Corporate Board | Token-Weighted Decentralized Voting | Token-Weighted for Protocol, Centralized for Client |
Protocols Building the Attention Mine
The next wave of protocols is tokenizing user attention and intent, creating a direct, verifiable market for engagement.
The Problem: Attention is Valuable but Uncaptured
Users generate immense value through clicks, engagement, and data, but platforms like Google/Facebook capture >90% of the ad revenue. The user's role is passive and uncompensated.
- Value Leakage: User intent data fuels trillion-dollar ad markets.
- Misaligned Incentives: Platforms optimize for ad views, not user benefit.
- Opaque Auctions: Users have zero visibility into how their attention is priced and sold.
The Solution: Intents as Tradeable Assets
Protocols like UniswapX and CowSwap reframe user actions (e.g., 'I want to swap X for Y') as signed intents. These intents become assets that solvers compete to fulfill, creating a market for user attention.
- Direct Monetization: Users can earn via MEV kickbacks or solver competition.
- Efficiency Gains: Solvers optimize for best execution, often beating public mempools.
- Market Structure: Shifts power from centralized order books to a decentralized network of solvers.
LayerZero: The Cross-Chain Attention Rail
User intent is chain-agnostic. LayerZero and Across Protocol enable generalized message passing, allowing attention-based actions (swaps, mints, governance) to be executed seamlessly across any chain.
- Expanded Market: Solvers can source liquidity and opportunities from the entire multi-chain ecosystem.
- Unified Intent: A user's single signed message can trigger a complex cross-chain transaction.
- Infrastructure Moats: The protocol capturing cross-chain intent flow becomes the settlement layer for attention.
The New Business Model: Attention Auctions
The end-state is a verifiable, on-chain auction for every user action. Projects like Anoma envision a world where any intent—from a swap to a social post—triggers a competitive bidding process among service providers.
- Revenue Flip: Value flows to the intent originator (user) and the most efficient fulfiller.
- Composable Value: Attention becomes a primitive, stackable with DeFi, gaming, and social.
- Protocols Win: Infrastructure that facilitates these auctions captures fees on a new asset class.
The Inevitable Critique: Isn't This Just Inflationary Farming?
Attention mining is a sustainable business model that replaces protocol inflation with user-generated revenue.
Attention mining is not inflationary farming. Traditional farming distributes governance tokens to subsidize liquidity, creating sell pressure. Attention mining monetizes user engagement directly, generating real revenue for the protocol. This revenue funds rewards, creating a self-sustaining economic loop.
The model inverts the value flow. Projects like Farcaster and friend.tech demonstrate that user attention has direct monetary value. Instead of paying users with protocol-owned inflation, you pay them with fees generated by other users. This aligns incentives without diluting token holders.
Evidence: The $200M+ in fees generated by friend.tech in its first months funded creator earnings directly. This is a closed-loop economy, not an open-ended token printer like early Sushiswap or Compound liquidity mining programs.
Breaking the Model: Key Risks for Builders
The shift from transaction fees to attention capture redefines protocol incentives and attack surfaces.
The MEV Cartel Problem
Attention-based models like UniswapX and CowSwap externalize execution, creating a dependency on a small set of sophisticated searchers. This centralizes power and creates systemic risk.
- Relayer Capture: A few dominant relayers can censor or extract maximum value.
- Opaque Pricing: Users pay hidden costs via worse execution, not transparent fees.
- Protocol Risk: The core protocol's security model becomes contingent on off-chain actors.
The Sybil Attention Farm
Protocols like friend.tech and Farcaster reward user engagement, incentivizing bots to farm points and airdrops with zero real value. This corrupts the signal and drains treasury value.
- Signal-to-Noise Collapse: Real user activity is drowned out by automated farming.
- Treasury Dilution: Valuable tokens are distributed to adversarial capital, not builders.
- Ponzi Dynamics: The model requires perpetual new user inflow to sustain rewards.
The Oracle Manipulation Vector
Attention metrics (social volume, engagement scores) are becoming new oracle inputs for DeFi. This creates a direct financial incentive to manipulate social sentiment and on-chain activity data.
- Data Integrity Attack: Spam transactions or fake social buzz can trigger faulty smart contract logic.
- Cross-Layer Risk: A manipulated signal on one app (e.g., a prediction market) can cascade through integrated DeFi legos.
- Unpriced Risk: Most protocols using these oracles have not stress-tested for adversarial attention attacks.
The Ad-Based Revenue Trap
Web2-style ad models are infiltrating dApps, trading user privacy and experience for revenue. This corrupts the value proposition of decentralized systems.
- Privacy Erosion: Behavioral tracking and data aggregation become core to the business model.
- Centralized Intermediaries: Ad networks become new critical, centralized dependencies.
- Incentive Misalignment: The protocol optimizes for ad clicks, not user utility or network security.
The Liquidity Fragmentation Death Spiral
Attention mining pools and yield farms splinter liquidity across hundreds of incentivized pools. This kills network effects and makes the underlying DEX/AMM economically non-viable without perpetual inflation.
- Capital Inefficiency: Billions in TVL sits idle, chasing farm rewards, not facilitating efficient trades.
- Protocol Cannibalization: Emission rewards subsidize and hide the protocol's lack of organic fee revenue.
- Inevitable Crash: When emissions slow, liquidity evaporates, causing death spirals as seen in DeFi Summer 2.0.
The Regulatory Misdirection Risk
Focusing on attention and user data collection moves protocols directly into the crosshairs of existing Web2 regulation (GDPR, Digital Markets Act). This negates crypto's regulatory arbitrage.
- Legal Reclassification: A dApp that profiles users could be classified as a data processor, not a neutral protocol.
- KYC/AML On-Ramp: Fiat-based ad payments or user profiling force centralized identity checks.
- Existential Threat: Compliance costs and operational constraints destroy the permissionless ethos.
The Endgame: Attention as a Yield-Generating Asset
Protocols now monetize user engagement directly, turning attention into a tradable, yield-bearing resource.
Attention is the new liquidity. Traditional DeFi protocols pay for TVL. Modern protocols like EigenLayer and Blast pay for user attention and engagement, creating a direct monetization path for activity.
Yield is the native ad unit. Instead of selling banner space, protocols embed yield into core interactions. Blur’s loyalty points for bidding and friend.tech’s key bonding curves are primitive forms of attention mining.
Protocols compete on attention ROI. The capital efficiency of attracting a user now matters more than the absolute TVL they bring. This shifts protocol design from pure financial engineering to behavioral economics.
Evidence: EigenLayer’s restaking queue consistently holds billions in idle capital, demonstrating users allocate attention (and capital) based on future yield promises, not immediate APY.
TL;DR for CTOs and Architects
Attention Mining flips the web2 ad model by directly rewarding users for their engagement and data, creating a new on-chain revenue primitive.
The Problem: Ad Tech's Value Leak
Platforms like Google and Facebook capture >90% of ad revenue, while users get nothing for their attention and data. This creates misaligned incentives and privacy nightmares.
- Value Extraction: Users are the product, not the customer.
- Opaque Markets: Black-box algorithms determine value distribution.
The Solution: Attention as a Stakable Asset
Projects like HypeLab and Airstack tokenize attention flows. Users earn yield by engaging with content or ads, turning a cost center into a revenue stream.
- Direct Monetization: Users capture value via staking rewards or token airdrops.
- Verifiable Engagement: On-chain proofs create transparent attribution and payment rails.
The Architecture: Intent-Based Attention Markets
This isn't just better ads. It's a new coordination layer. Users express intents (e.g., "I will watch this video for X tokens"), and solvers like UniswapX or CowSwap compete to fulfill them efficiently.
- Composability: Attention streams become DeFi yield sources.
- Efficiency: Solver competition optimizes for user payout and advertiser ROI.
The New Business Model: Protocol-Owned Liquidity
The endgame is protocol-owned attention. Instead of renting users from platforms, dApps bootstrap their own engaged communities via token incentives, creating sustainable flywheels akin to Olympus DAO's POL.
- Reduced CAC: Native tokens replace ad spend for user acquisition.
- Aligned Incentives: Value accrues to the protocol and its participants.
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.