How does the investor scoring system work?

The skill uses a 0-100 scale weighing stage fit (25%), investment thesis match (25%), portfolio relevance (30%), investment activity level (10%), and network value (10%).

Does it verify investor data from CSV files?

Yes, it prioritizes fetching real-time LinkedIn profiles to verify current roles and funds, as CSV data often has an error rate of up to 20%.

What information do I need to provide to start?

To get the best results, you should provide your company website, a pitch deck (local file path or link), and a one-sentence summary of your product to help the agent build your profile.

Can I analyze multiple investors at once?

Absolutely. Use the '/vc-analyst batch [csv-path]' command to analyze and score a list of potential investors in bulk once your company profile is set up.

Can it detect if an investor has funded a competitor?

Yes, the skill performs automated web searches to identify existing portfolio conflicts and will deduct points while flagging the investor with a 'PORTFOLIO CONFLICT' warning.

VC Investor Analyst

Name: VC Investor Analyst
Author: anysiteio

byanysiteio

•

Productividad y Flujo de Trabajo

Streamlines startup fundraising by analyzing project data, identifying ideal venture capital matches, and generating personalized outreach messages.

Acerca de

The VC Investor Analyst skill transforms Claude into a sophisticated fundraising assistant that manages the end-to-end investor research process. By ingesting your company's website, pitch deck, and traction metrics, it builds a detailed investor profile and evaluates potential backers based on stage fit, investment thesis, and portfolio conflicts. It automates the tedious work of LinkedIn verification and scoring, ensuring you focus your efforts on the highest-probability investors while providing ready-to-send personalized outreach hooks tailored to their specific investment history.

Características Principales

5 GitHub stars
Multi-factor investor scoring system based on stage, thesis, and recent activity
Real-time LinkedIn profile verification to ensure accurate investor data
Personalized outreach generation with custom hooks and traction highlights
Automated portfolio conflict detection to identify competitive risks
Automated project discovery via website parsing and pitch deck analysis

Casos de Uso

Entrepreneurs seeking to automate the creation of highly personalized cold outreach emails to VCs
Fundraising teams needing to filter and score large CSV batches of potential investors quickly
Founders preparing for Seed or Series A rounds who need to build and prioritize a targeted lead list

Acerca de

Características Principales

5 GitHub stars
Multi-factor investor scoring system based on stage, thesis, and recent activity
Real-time LinkedIn profile verification to ensure accurate investor data
Personalized outreach generation with custom hooks and traction highlights
Automated portfolio conflict detection to identify competitive risks
Automated project discovery via website parsing and pitch deck analysis

Casos de Uso

Entrepreneurs seeking to automate the creation of highly personalized cold outreach emails to VCs
Fundraising teams needing to filter and score large CSV batches of potential investors quickly
Founders preparing for Seed or Series A rounds who need to build and prioritize a targeted lead list