Show HN: Semantic search engine for finding relevant VCs and angels https://ift.tt/Q7nDFpj

Show HN: Semantic search engine for finding relevant VCs and angels We built a search engine that matches startup descriptions with investors based on their historical investments. Write your startup description and get a list of investors who've backed similar companies. Technical implementation: - Indexed 9k active VC funds and ~5k angels globally - Fine-tuned a custom embedding model on real-world pairs of investors and companies - Developed an identity resolution system to collate portfolio data across many sources including portfolio websites scraped with a custom AI agent Key features: - Search full investor database without signing up - Optional email/calendar integration shows 1st/2nd degree connections to investors - Results ranked by semantic similarity to historical investments Example query: "B2B SaaS platform for automating accounts payable workflows using OCR and ML" → Returns VCs/angels who've invested in similar enterprise automation/fintech companies Origin: Built this after struggling with my own seed round. Existing solutions didn't solve the core problem: systematically finding ALL relevant investors, not just the obvious ones. Would appreciate feedback on: 1. Search result quality/relevance 2. Additional data points that would be useful 3. Performance/latency issues if you encounter any Team: danishabdullah, combdn, thelifeofrishi, howes, Hossamhamdy20, Isomorpheus https://ift.tt/cBaXETY October 23, 2024 at 11:15PM