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

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

Why do you need all those permissions for signing up?

We use email metadata permissions to map your contacts, so you can find paths you might have to VCs or other Organisations

But importantly: We don't get access to the email body/content

honestly I agree with that aswell, probably would be a lot to display - my use case was more for seeing the degrees of separation between contacts I already know rather than a list. But probably not super useful - been using heavily tho the past 24 hours really love what you guys are doing here