Hacked On-site Projects Winners

First Prize: Hatcher

Hatcher aims to build a decentralized AI service network, helping AI service developers monetize their data and skills through an on-chain incentive layer.

Second Prize: TermiX

TermiX is an LLM-based one-stop Web3 interaction terminal that aims to make on-chain operations simpler, more efficient, and safer.

Third Prize: Data2.cash

Data2.cash is a user data assetization protocol that uses ZK to help users construct anonymous on-chain user profiles and return the income earned from the user profile to the data provider.

Existing Project Winners

First Prize: TheStage.ai

Thestage.ai (http://thestage.ai/) is a full-stack Web3 artificial intelligence platform built by a team of top AI scholars and practitioners, who are one of the twelve awarded candidates at a top world AI event — Computer Vision and Pattern Recognition Conference (June 2023, Vancouver). TheStage platform gives AI researchers and engineers access to cheaper decentralized compute resources and comprehensive functionality for training and running their Ai models more efficiently using Web3 based tools.

Second Prize: Saame Protocol

Saame is an AI-powered Instant Messenger (IM) Protocol. Their zero-knowledge technology powered SBT system will empower users with identity verification, B2B2C communication and connection, and sourcing for partnerships at finger clicks away. Well-poised to position as a super application with an open sourced SDK for massive MiniApp development to further enrich user's experience and stickiness. The AI engine is designed for Web3 users, allowing it to understand the needs of users, assets, and organizations in the Web3 ecosystem, and generate relevant content that aligns with the culture.

Third Prize: US3R Network

US3R Network is a dynamic structured data storage infrastructure that aims to expand Web3 use cases from fintech to broader ones. US3R focuses on a developer platform and application ecology for decentralized off-chain programmable data, allowing social and content protocol developers to quickly develop protocols by defining universal data types without worrying about underlying data infrastructure.