Vanaweb [repack] -

Decentralized web, user-owned data, data DAOs, AI training, privacy, VanaWeb, tokenomics. 1. Introduction The current internet landscape is dominated by platforms (e.g., Google, Meta, Amazon) that extract value from user-generated data without equitable compensation or transparent governance. Users have limited control over how their data is used, stored, or monetized. The emergence of Web3 technologies—blockchain, decentralized storage, and zero-knowledge proofs—offers a technical foundation to reverse this trend.

VanaWeb is proposed as a holistic solution: a decentralized layer atop existing web infrastructure that enables users to contribute data to data DAOs (Decentralized Autonomous Organizations), receive token rewards, and grant conditional access to AI researchers and developers. Unlike traditional data marketplaces, VanaWeb ensures data sovereignty through cryptographic guarantees. vanaweb

Author: [Generated for academic purposes] Date: April 14, 2026 Publication Type: Conceptual Research Paper Abstract The centralization of user data within a small number of corporate platforms has created significant privacy, security, and economic imbalances. VanaWeb proposes a novel decentralized web infrastructure where users retain full ownership of their personal data while contributing to AI model training and other data-driven applications. This paper outlines the architectural principles, token-economic激励机制, and governance mechanisms of VanaWeb. We argue that by combining data liquidity pools, non-fungible data ownership tokens, and privacy-preserving computation, VanaWeb can unlock a new paradigm of user-centric digital economies. We also analyze potential security challenges, scalability concerns, and regulatory pathways. Decentralized web, user-owned data, data DAOs, AI training,