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