Project Name
ProofDAO - zero-knowledge proof system for trustless DAO task verification
Problem Statement
DAO’s and on-chain companies often struggle to trust contributors without prior relationships. Not only that, they are sometimes unable to track microtask completion in a trust minimized way and filter quality contributors without KYC or resumes.
Solution Overview
A decentralized platform where DAO’s can post microtasks or bounties, and contributors submit work along with zk-proofs or attestations of skill. The system verifies completion and auto-rewards based on DAO rules.
Project Description
Our project, ProofDAO, is a decentralized platform that allows DAO’s and Web3 projects to post microtasks (like design, dev work, translations, marketing) and have contributors complete them in a trustless, reputation-based way. The main goal is to let DAO’s tap into global talent without having to rely on traditional CV or trust assumptions.
The platform works in a simple way that is DAO’s create bounties with rewards, contributors submit their work along with some form of identity proof (either linking GitHub or Twitter, or basic on-chain reputation NFT) and upon approval, they get rewarded. We’re also experimenting with simulating zero-knowledge proofs (or lightweight attestations) just to show how trustless verification of skills can work without fully revealing someone’s identity.
The smart contracts will be deployed on Metis and the good thing is it’s EVM compatible and gas fees are really low, which makes it perfect for micro-transactions. We’ll also integrate the Metis DAC framework to show how actual DAO workflows can function on-chain. Frontend will probably be in Next.js with wagmi and rainbowkit for wallet connection.
I think what excites us the most is that this idea is actually useful. It’s not just another DeFi toy, DAO’s do need better tools for trustless coordination, and this project could really help reduce friction for contributors trying to break into the space.
Hyperion’s architecture gives us a powerful foundation to supercharge ProofDAO in several ways:
- AI Co-Agent for Task Validation: One of the trickiest parts of managing bounties or microtasks is ensuring submissions are both relevant and high quality. Hyperion’s built-in AI co-agent could help us automate task review, either by helping DAO admins filter submissions or flagging ones that match historical patterns of excellence. This would reduce human workload while ensuring consistent quality control.
- On-Chain AI & Data for Identity Verification: We’re exploring ways to simulate ZK-proofs or lightweight attestations for contributor reputation. With Hyperion’s AI and data pipelines directly on-chain, we can potentially streamline how contributor identities or skills are verified, without forcing full doxxing or heavy KYC. That means contributors can prove credibility without oversharing and DAOs still get the signal they need.
- Real-Time Interactions: Because we’re enabling microtask coordination, the faster the response loop, the better the experience. Hyperion’s low-latency infra lets us build a smoother, more dynamic interface where task submissions, approvals, and feedback can happen almost instantly critical for keeping contributors engaged and reducing friction in DAO workflows.
- Scalable Gamification: Our leaderboard and rewards system relies on tracking a lot of small interactions (like submissions, reviews, account linking). Hyperion’s performance and modularity would help us scale this system efficiently, especially during high community activity.
In short, Hyperion adds muscle to both the intelligence and real-time responsiveness of ProofDAO. It’s a perfect match for what we’re building.
We’re applying for Track 1: AI-Native and Core-Aligned Projects.
Specifically, we align with:
- AI-Native dApps, since we plan to embed AI into the task evaluation and contributor support flows.
- Hyperion AI Integration, as we’re actively exploring use of the Hyperion co-agent to help DAOs handle microtask submissions and contributor vetting with minimal overhead.
Community Engagement Features
We’ll gamifying the platform by assigning points to key actions like creating a DAO, posting or submitting tasks, reviewing work and linking social accounts. Users earn badges and rank on leaderboards, making testing feel more like a game. This approach not only encourages full platform exploration but also drives organic onboarding by rewarding users for meaningful participation.
Getting Involved
People can reach out to me via my twitter handle (@i_dodgerini) or telegram (@riteshdas1). Always open to chat, collaborate or help out!