ProofPost

💡 ProofPost – AI-Powered Accountability Layer for Content

ProofPost is an AI x Web3 SocialFi protocol built during the 0G APAC Hackathon, designed to solve the growing problem of synthetic and misleading content in the AI era.

Instead of relying on unreliable AI detection alone, ProofPost introduces an accountability-based model where users stake tokens behind every post.

⚙️ How it works

• Users connect a wallet and create posts (text, image, or video)

• Each post is signed and backed by a token stake

• AI agents running on 0G Compute (GPU layer) analyze uploaded media and provide a confidence score for AI-generated or manipulated content

• If content is flagged as high-risk:

  • The stake is moved into a vault (escrow)

  • The post enters a dispute state

• The system allows challenges and simulated resolution

• If content is confirmed misleading:

  • Stake is slashed and redistributed

• Users build long-term on-chain reputation

🧠 Key Innovation

• Combines AI analysis + economic incentives

• Moves from “detecting truth” → to enforcing accountability

• Creates a system where:

  Posting false content has a real economic cost

🔗 0G Integration

ProofPost leverages the 0G stack:

• 0G Compute → AI agents analyze images/videos using GPU inference

• 0G Storage → store media, metadata, and provenance

• 0G Chain → handle staking, slashing, and reputation logic

This enables a scalable and verifiable infrastructure for AI-native social applications.

🚀 MVP Features

• Wallet-based identity (mocked for demo)

• Post creation with staking

• AI content analysis (simulated)

• Feed with trust signals

• Challenge / slash / trust interactions

• Vault mechanism for flagged content

🎯 Vision

ProofPost aims to become the trust layer for content in the AI era, where credibility is not assumed — it is economically enforced and transparently verifiable.

Progress as of 13/04/2026:

- Defined core concept and pivoted from AI detection to an accountability-based model using staking and reputation

- Designed system architecture leveraging 0G Compute (AI inference), 0G Storage (media/provenance), and 0G Chain (staking logic)

- Built frontend MVP with social feed, post creation, and staking interaction

- Implemented simulated AI analysis for uploaded media (image/video) to demonstrate detection flow

- Designed vault/escrow mechanism for flagged content and dispute flow

- Integrated wallet-based identity (mocked for MVP)

- Implemented basic user actions: post, stake, challenge, slash, and trust (simulated states)

- Currently preparing integration with 0G Compute for AI agents and 0G Storage for media persistence


📌 Next milestone: connect real 0G modules (Compute + Storage) and replace simulated AI pipeline with on-chain verifiable flow

Pre-seed / Idea stage

Currently focused on product development and validation during the 0G APAC Hackathon. Open to future funding and ecosystem support.