Grass’s airdrop model incentivizes users to share anonymized data (e.g., web traffic, sensor data) via a peer-to-peer network, creating a decentralized alternative to Google Analytics. By rewarding participants with GRASS tokens, the project bootstraps a global data pool for AI training, market research, and IoT applications. Technically, Grass uses zero-knowledge proofs to protect user privacy, ensuring data is before monetization. With 200,000+ nodes deployed post-airdrop, Grass demonstrates viable decentralized data infrastructure. While competition from Web2 giants like AWS looms, Grass’s $50M ecosystem fund and university partnerships (e.g., MIT AI Lab) suggest its tech could disrupt $100B centralized data markets, making GRASS a high-risk, high-upside bet on Web3’s data economy.