Skip the cold list. Find your lead.

Drop a pitch deck PDF. Get a ranked shortlist of the VCs and angels with real evidence they would back you — by check size, stage fit, sector match, recency of activity, and named past investments. Database covers 32,000+ investors across 7,000+ firms.

Evidence base: SEC EDGAR Form D · Y Combinator · OpenVC · Wikidata · firm websites.

How matching works

A four-stage pipeline. First, the parser extracts your company name, sectors, target stage, and round size from your PDF. Second, a SQL recall stage retrieves the top ~100 candidates from a DuckDB index of 32,823 investors. Third, an LLM rerank stage scores qualitative thesis fit against your round, producing the top 20. Fourth, four deterministic sub-scores — check_fit, stage_fit, recency, and sector evidence count — are computed in Python and surfaced as auditable signal alongside the LLM ranking.

What the database covers

  • 32,823 investor profiles with sweet-spot check size, range, and sector focus
  • 7,279 firms with thesis text scraped directly from their websites
  • 11,718 named past investments with company, stage, date, and round size
  • SEC EDGAR Form D filings (90,146 named related-party records, 36-month rolling window)
  • 5,813 Y Combinator companies from the Algolia index
  • 8,478 Wikidata-enriched company records
  • 2,073 firm thesis texts scraped from firm websites

Who is this for?

Pre-seed through Series B founders raising in the US, EU, or globally, across any sector — AI, fintech, biotech, hardware, climate, consumer, devtools, security, robotics, space, agriculture, and more. The matcher gives you a ranked shortlist of investors with the right check size and sector adjacency, plus links to their named past portfolio companies so you can verify thesis fit yourself.

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