ChainChatAI : AI-powered decentralized social dApp built entirely on the 0G ecosystem

Guild on 0G 2.0
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Project Name

ChainChatAI

Project Website

Coming Soon
(Live Prototype available in Demo section)

Project Brief

Problem we are solving

Most decentralized social applications remain limited to basic interactions—posts, likes, and comments—with no intelligent personalization or context awareness. Users face:

  • Static, non-intelligent feeds

  • No personalized recommendations or content understanding

  • Poor onboarding due to gas fees and complex wallets

  • Heavy reliance on centralized compute/storage for AI features

  • Lack of scalable infrastructure to support AI-native social interactions

This prevents Web3 social platforms from reaching mainstream usability.

Our solution and key features

ChainChatAI is an AI-powered decentralized social dApp built entirely on the 0G ecosystem. It introduces a smarter, AI-enhanced Web3 social experience by leveraging decentralized compute, storage, and on-chain execution.

Key Features

  • AI-powered personalized feeds using embeddings + relevance scoring

  • Intelligent social profiles capable of summarizing threads and generating replies

  • Decentralized AI compute through 0G Inference

  • On-chain social actions: posts, comments, likes, follows

  • Gasless UX using Privy EAO + relayer until native AA/paymaster is available

  • Content safety filtering using AI-scored moderation

  • Storage of raw posts + embeddings on 0G Storage

  • CCToken (ERC-20) for engagement rewards

Target users and market

Target users

  • Web3 social users (Farcaster, Lens, DeSo ecosystems)

  • Crypto-native creators

  • AI hobbyists & communities

  • Emerging market users needing gasless onboarding

  • Social products needing decentralized personalization

Market

  • The Web3 social ecosystem is rapidly expanding (Farcaster, Lens, Cyber).

  • ChainChatAI is positioned as the first AI-native social layer built entirely on 0G, addressing both personalization and decentralization gaps.

What makes it unique

  • Fully OG-native architecture: compute, storage, execution all within the 0G ecosystem

  • No centralized compute layer for inference — all AI scoring runs through 0G Compute

  • User-level personalization stored on-chain or in decentralized storage

  • Gasless onboarding supports mass adoption before OG-native AA arrives

  • AI-smart profiles enabling deeper engagement and contextual interactions

  • Separation of raw post data + vector embeddings, enabling scalable AI ranking models

  • On-chain verifiability of all social interactions

No current Web3 social platform integrates decentralized AI at this depth.

How ChainChatAI integrates 0G

ChainChatAI is built to be fully powered by the 0G stack.

Technical implementation details

1. 0G Storage Integration

Used to store:

  • Raw post content

  • Images

  • User feed preference profiles

  • Vector embeddings (or shards)

Content is uploaded and retrieved via the 0G Storage SDK.

2. 0G Compute / Inference

ChainChatAI uses 0G compute to generate:

  • Embeddings for each post

  • Embeddings for each user profile

  • Relevance scores (similarity, recency, social weighting)

  • Content safety labels (NSFW, spam, harmful content)

  • Smart reply generation & contextual summaries

All inference calls run directly through the OG Inference SDK.

3. 0G Chain Smart Contracts

Deployed contracts include:

  • ChainChatAI Contract (posts, comments, likes, follows, feed pointers)

    • 0x018E412faf3b38E4d9be42356d051b4067b85B21

  • CCToken (ERC-20) for rewards

    • 0x2e93dccff99bc6613322e3d1fab7e52f8368b5c1

Contracts are verified on chainscan.

Which features use 0G services

Feature 0G Storage 0G Compute 0G Chain
Post creation :check_mark: Raw post CID :check_mark: Embedding generation :check_mark: Metadata pointer
Feed personalization :check_mark: Profile embedding :check_mark: Ranking inference :check_mark: Feed pointer storage
Content safety — :check_mark: AI moderation inference :check_mark: Record moderation flags
Engagement actions — — :check_mark: Likes, comments, follows
Smart replies — :check_mark: AI inference —

Timeline for integration

ChainChatAI is already integrated with all three layers of 0G:

Milestone Status Notes / Deliverables
0G Storage integration :check_mark: Completed Raw posts, images, embeddings stored on 0G Storage
0G Inference integration :check_mark: Completed Embedding generation, content relevance scoring, safety analysis
Smart contracts deployed to 0G Chain :check_mark: Completed ChainChatAI + CCToken fully verified on mainnet
Feed personalization engine :check_mark: Completed Multi-factor scoring: embeddings, recency, engagement
UI for social features :check_mark: Completed Posts, comments, likes, profiles, trending, recommendations
Gasless onboarding (Privy + relayer) :counterclockwise_arrows_button:Pending Relayer not implemented yet. Needs: sponsored transactions, nonce mgmt, signature validation
AI-powered smart reply system :check_mark: Completed Context-aware reply suggestions with tones & confidence scoring
Content safety & moderation layer :check_mark: Completed NSFW/hate/spam scoring + UI indicators
AI hashtag intelligence & tagging :check_mark: Completed Automatic extraction + trending/tag suggestions
Real-time feed ranking engine :counterclockwise_arrows_button:Pending Needs incremental updates + vector weighting + caching
Vector clustering for community discovery :counterclockwise_arrows_button: In progress User/topic grouping to improve recommendations
Feed caching & indexer service :counterclockwise_arrows_button: Pending Local worker/indexer to watch events & precompute rankings
Relayer infrastructure (backend) :counterclockwise_arrows_button: Pending Transaction pipeline, rate limiting, sponsor rules
User onboarding improvements :counterclockwise_arrows_button: Pending Account abstraction-ready structure + 0G paymaster compatibility
Mobile-responsive improvements :counterclockwise_arrows_button: Pending Performance + layout refinement
Performance optimization & load testing :counterclockwise_arrows_button: Pending Ensuring scalability for 10,000+ users

Expected benefits from using 0G

  • Low-latency, scalable AI inference for social ranking

  • Cost-efficient decentralized storage for content & embeddings

  • Censorship-resistant social layer

  • Full decentralization of AI + social graph

  • High throughput for feed updates

  • Future compatibility with OG-native AA & paymaster

ChainChatAI demonstrates how AI-native social networks can be fully hosted on-chain using the 0G ecosystem.

GitHub Repository

Public Repo:
https://github.com/fourWayz/chainchatAI

Demo / Prototype

Live Demo:
https://og-ideation.vercel.app/

Documentation

  • README (architecture, workflow, contracts)

Social Media

Twitter/X: Coming Soon
Discord: Coming Soon
Telegram: Coming Soon

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