Vc Finder
Takes a startup product URL or description, detects the industry and funding stage...
Install
npx skills add Varnan-Tech/opendirectory --skill vc-finder -g -a claude-code -y- Repository
- Varnan-Tech/opendirectory688
- Category
- Writing
- Updated
- 18d ago
- License
- MIT
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Takes a startup product URL or description, detects the industry and funding stage, identifies 5 comparable funded companies, searches who invested in those companies (Track A), finds VCs who publish investment theses about this space (Track B), and returns a ranked sourced list of relevant investors with deep-dives and outreach hooks. Use when asked to find investors for a startup, identify which VCs fund products like mine, research who backs companies in my space, build a VC target list, or find investor-market fit.
VC Finder
Take a product URL or description. Detect industry and stage. Find 5 comparable funded companies. Run two research tracks: who invested in those comparables (Track A), and which VCs publish theses about this space (Track B). Return a sourced, ranked investor list with outreach hooks.
Zero-hallucination policy: Every fact in the output must be traceable to a specific Tavily search result or the fetched product page. This applies to:
- Comparable company names: must appear in Tavily search results, not AI training knowledge
- VC fund names: must appear verbatim in Tavily search results
- Check sizes, stage focus, portfolio companies: must come from search snippets, not AI knowledge
- Fund overviews and thesis summaries: extracted from search snippets only. If a detail is not in the search data, write "not found in search data" -- do not fill from training knowledge.
