# Vc Finder

Takes a startup product URL or description, detects the industry and funding stage...

- Repository: https://github.com/Varnan-Tech/opendirectory (688 stars)
- Category: Writing
- License: MIT
- Last updated: 2026-10-17
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add Varnan-Tech/opendirectory --skill vc-finder -g -a claude-code -y`
Codex: `npx skills add Varnan-Tech/opendirectory --skill vc-finder -g -a codex -y`
Cursor: `npx skills add Varnan-Tech/opendirectory --skill vc-finder -g -a cursor -y`
Gemini CLI: `npx skills add Varnan-Tech/opendirectory --skill vc-finder -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add Varnan-Tech/opendirectory`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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.

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**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.

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## Common Mistakes

The rest: https://github.com/Varnan-Tech/opendirectory/blob/HEAD/skills/vc-finder/SKILL.md