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Category: Research · Version: 1.0.0 · Author: OpenDirectory · Compatibility: All targets (claude, codex, opencode, gemini, anti-gravity, openclaw, hermes)
Identify targeted VC funds based on a product’s description and URL. This skill matches project inputs to a curated dataset of top global venture capital firms based on industry tags, stage, and geography.
opendirectory

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Install

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Overview

The vc-curated-match is an OpenDirectory skill that connects founders and open-source creators with highly relevant Venture Capital firms. It relies on a static, curated list of real VC funds to prevent LLM hallucinations, ensuring all recommendations and rationales are grounded in actual fund thesis data. Positioning Note: This skill is intentionally different from live-research investor discovery workflows. It provides deterministic, curated VC matching from a verified static dataset. It is best for fast, low-cost, repeatable first-pass investor targeting.

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Requirements

  • Python 3.10+ (Standard Library only used internally by the agent)

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Implementation Specs

  • Pulls from a static data/vc_funds.json dataset to guarantee data validity.
  • Ranks funds using tag-matching algorithms across industry focus, stage, and geography fit.
  • Outputs confidence tiers (High, Medium, Low) to transparently surface the precision of the fit.

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Usage

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Methodology

  • Tag Matching: Deterministic keyword matching using whole-word regex boundaries to ensure precision.
  • Geography Inference: Inferred primarily from the URL Top-Level Domain (TLD). For example, .in triggers India and .eu triggers Europe.
  • Default Baseline: Domains like .com, .io, and .ai default to a Global geography hint unless a specific --geography flag is provided.

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Limitations

  • No Live Research: This skill does not perform live web discovery and may miss niche or newly launched funds not present in the dataset.
  • Static Dataset: The VC fund list is a curated static dataset. It reflects fund theses as of the last update and may not capture real-time changes in fund availability or personnel.
  • Taxonomy Constraints: The scoring engine relies on a fixed taxonomy. Extremely niche or highly unusual product descriptions may not trigger specific industry tags and will default to a “Generalist” view.
  • Human Review Required: These outputs are best-effort algorithmic matches. They serve as a research starting point and must be reviewed by a human before starting outreach.
  • No Financial Advice: This tool does not provide financial or investment advice.