ProofRank

ProofRank is an AI diligence engine for hackathon judges, sponsor teams, accelerators, and grant reviewers who need to verify many public AI projects under time pressure. It reviews project pages, GitHub repositories, demos, and technology claims, then ranks submissions with source-backed proof receipts. The core workflow is built around Bright Data as the evidence acquisition layer. ProofRank’s verified sponsor receipt uses Bright Data Remote MCP tools including scrape_as_markdown, search_engine, and discover to collect source, search, and discovery evidence. Each proof receipt records trace state, provider, byte count, content hash, trace digest, and signature status so judges can distinguish executed evidence from claimed or planned integrations. The app includes a ranked queue, Evidence Route, Claim Ledger, Proof Receipt panel, Originality Radar, adversarial review notes, exportable packets, and a secure live-review API fallback. It was built and published through native.builder, with Vercel used as a fallback live app and API shell. ProofRank helps judges move from subjective browsing to repeatable, evidence-backed review.