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Show HN: Semantic search engine for finding relevant VCs and angels

11 pointsby macieklaskus7 months ago
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&#x27;ve backed similar companies.<p>Technical implementation:<p>- Indexed 9k active VC funds and ~5k angels globally<p>- Fine-tuned a custom embedding model on real-world pairs of investors and companies<p>- Developed an identity resolution system to collate portfolio data across many sources including portfolio websites scraped with a custom AI agent<p>Key features: - Search full investor database without signing up<p>- Optional email&#x2F;calendar integration shows 1st&#x2F;2nd degree connections to investors<p>- Results ranked by semantic similarity to historical investments<p>Example query: &quot;B2B SaaS platform for automating accounts payable workflows using OCR and ML&quot; → Returns VCs&#x2F;angels who&#x27;ve invested in similar enterprise automation&#x2F;fintech companies<p>Origin: Built this after struggling with my own seed round. Existing solutions didn&#x27;t solve the core problem: systematically finding ALL relevant investors, not just the obvious ones.<p>Would appreciate feedback on:<p>1. Search result quality&#x2F;relevance<p>2. Additional data points that would be useful<p>3. Performance&#x2F;latency issues if you encounter any<p>Team: danishabdullah, combdn, thelifeofrishi, howes, Hossamhamdy20, Isomorpheus

2 comments

UbikAI7 months ago
This is amazing and super effective, just made an account - amazing idea - really great for organizing and understanding my contacts beyond finding new VCs!<p>Would be awesome if I could see a family tree graph with my connections aswell
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satuke7 months ago
Why do you need all those permissions for signing up?
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