Match startups to venture capital funds using curated tag data.
npx skills add https://github.com/Varnan-Tech/opendirectory --skill vc-curated-match
Please help me install this Agent Skill. Skill: vc-curated-match Source: https://github.com/Varnan-Tech/opendirectory/tree/main/skills/vc-curated-match Command: npx skills add https://github.com/Varnan-Tech/opendirectory --skill vc-curated-match
This Skill solves the problem of finding relevant venture capital funds for startups based on their product description and URL.
Run the script with the product description and URL, e.g.:
python scripts/run.py --description "AI-powered B2B SaaS platform" --url "https://example.com"
High-intent search queries and answers about installing and using this skill.
Match startups with venture capital funds by providing a product description and URL. The tool uses a curated dataset to align your startup's industry, stage, and geography with top global VC firms, outputting confidence tiers for the fit.
Yes, you can run the Python script with your startup's product description and URL. It processes these inputs against a static dataset of venture capital firms to identify investment matching opportunities.
VC matching works by applying tag matching to a curated dataset. It compares your product details against venture capital funds using industry tags, stage, and geography alignment to determine investment relevance for early-stage startups.
Yes, Python is required to run the script and execute the startup analysis. You also need the static dataset of venture capital fund information included in the assets to perform the investment matching.
Use a curated VC dataset with tag matching to evaluate startup funding fit. This approach outputs confidence tiers—High, Medium, or Low—indicating the precision of alignment between your startup and global venture capital firms.
A limitation of static datasets for VC matching is that fund information may become outdated. The tool relies on a static dataset of venture capital firms, meaning recent market changes or newly raised funds might not be reflected in the investment matching results.
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