anysite-vc-analyst

Name: anysite-vc-analyst
Availability: InStock
Author: Anysite

Analyze investor profiles, score matches, and generate personalized outreach messages.

19|4|Updated Jan 29, 2026

Search Tags:#portfolio analysis #outreach automation #VC outreach #investor scoring #startup fundraising #investor research

Ready to run

npx skills add https://github.com/anysiteio/agent-skills --skill anysite-vc-analyst

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: anysite-vc-analyst
Source: https://github.com/anysiteio/agent-skills/tree/main/skills/anysite-vc-analyst
Command: npx skills add https://github.com/anysiteio/agent-skills --skill anysite-vc-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables founders and teams to systematically research venture capital investors, score fit, and craft personalized outreach to accelerate fundraising.

Core Features & Use Cases

Investor discovery: Identify relevant VC firms and individual investors based on stage, thesis, and portfolio relevance.
Score & prioritization: Compute a data-driven score to rank investors by fit and potential value.
Outreach generation: Generate personalized messages and outreach plans aligned with investor criteria.
Onboarding flow: Guided discovery questions to capture project context and fundraising goals.

Quick Start

Begin with onboarding questions to collect project context (website, pitch deck, one-liner), then fetch the project details, build investor criteria, and draft outreach messages.

Frequently Asked Questions about anysite-vc-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate VC outreach and investor research for startup fundraising?▼

You can automate VC outreach by analyzing investor profiles and scoring potential matches. This involves parsing websites and pitch decks to build investor criteria and generate personalized outreach messages for fundraising workflows.

What is the best way to score and prioritize venture capital investors for a pitch?▼

Scoring venture capital investors involves computing a data-driven score to rank them by fit and potential value. This requires analyzing investor profiles, stage, thesis, and portfolio relevance against your project context.

How do I generate personalized VC outreach messages from a pitch deck?▼

Generating personalized VC outreach messages from a pitch deck requires parsing the deck to extract project details. The system then builds an investor_criteria.json file and drafts messages aligned with specific investor requirements.

Can I use investor scoring for startup fundraising across professional networks?▼

Yes, investor scoring applies to discovery, qualification, and engagement workflows for fundraising across investor databases, pitch materials, and professional networks to help identify relevant venture capital firms and individual investors.

What information do I need to start automating investor discovery and qualification?▼

To start investor discovery, you need to provide project context such as your startup website, pitch deck, and a one-liner. Guided onboarding questions capture this data to build criteria and draft outreach plans.

Are there limitations to using automated investor research for fundraising?▼

Automated investor research relies on parsing provided websites and pitch decks to generate an investor_criteria.json. If the input project context or onboarding data is incomplete, the accuracy of the investor fit score and personalized messages may be limited.