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…
Semantic search engine for finding relevant VCs and angels launched on October 23, 2024 with 11 votes, #1,114 of 5,185 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
This semantic search engine helps startups find relevant investors by matching their company description against 9,000 VC funds and 5,000 angels worldwide. Users describe their startup and receive a ranked list of investors who have backed similar companies, based on a custom embedding model trained on real investor-company pairs. The tool searches the full investor database without requiring signup and optionally integrates email and calendar data to show connection degrees to prospects.
written from the facts on this page · September 2026
From the sources
AI-powered network search & relationship analysis. Find the right professional connections with natural language queries and relationship strength insights.
In the maker’s words, at launch
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…
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