Shipped project · GitHub owner verified
ObsiFlow
Built by Fahmin Mohammed

What the builder shipped
ObsiFlow is the first 'Truth-to-Transaction' protocol that cryptographically verifies macro-economic news on-chain to trigger automated DeFi execution. The backend provides: Automatic wallet tracking - Track user wallets and discover holdings automatically Sub-wallet discovery - Automatically discover related wallets via Nansen API AI-powered strategies - AI automatically generates trading strategies based on aggregated data Two-phase signals - Immediate signals (no FDC) → Verified signals (with FDC attestation) Multi-source data aggregation - News, market data, whale movements, social sentiment Real-time notifications - WebSocket and Redis Pub/Sub for live updates Knowledge graphs - Visual proof of AI reasoning with interactive graphs Trading bot integration - Subscribe to signals and recommendations via WebSocket/Redis User preferences - Customizable token and network preferences that filter all data, strategies, and AI recommendations FTSO price feeds - Real-time price feeds from Flare Time Series Oracle integrated into knowledge graphs and AI analysis Master knowledge graph - Automated generation linking all whale wallet transactions with news and price data TEE Integration - Deploy AI agent to GCP Confidential Space for verifiable execution with cryptographic attestations
Tech stack
- flare
- EVM
- nextjs
- graphRAG
- gemini