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What is VC Analyst?

The VC Analyst skill is an AI-powered assistant that helps startup founders research and connect with the right investors. It combines LinkedIn intelligence, Y Combinator data, web research, and portfolio analysis to score investor fit, detect conflicts, and generate personalized outreach messages. Perfect for:
  • Seed and early-stage founders preparing for fundraising
  • Startups building targeted investor lists
  • Founders researching VC firms and partners
  • Teams needing personalized investor outreach at scale

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Prerequisites

Before using this skill, ensure you have:

Install AnySite MCP Server

The VC Analyst skill requires AnySite MCP Server with active subscription

Learn About Skills

New to Claude Desktop Skills? Read the complete guide on how to install and use skills

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Download VC Analyst Skill

Download VC Analyst Skill

Click to download the VC Analyst skill file

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Installation

  1. Download the skill file using the button above
  2. Upload to Claude Desktop (drag and drop or use upload button)
  3. Skill is ready - Start researching investors immediately

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Smart Onboarding

The VC Analyst skill starts with a 5-step onboarding process to understand your startup and fundraising context:
1

About You

What’s your role in the startup?
  • Founder/CEO
  • Co-founder (technical)
  • Co-founder (business)
  • Team member helping with fundraising
2

About Your Company

Tell me about your startup:
  • Company name
  • One-line description
  • Industry/vertical
  • Current stage (pre-seed, seed, Series A, etc.)
3

Target Check Size

How much are you raising?
  • 100K−100K - 500K (pre-seed)
  • 500K−500K - 2M (seed)
  • 2M−2M - 5M (seed+)
  • 5M−5M - 15M (Series A)
  • $15M+ (Series B+)
4

Pitch Materials

Share your pitch materials (optional):
  • Pitch deck link (Google Slides, Notion, DocSend, etc.)
  • Calendar booking link for meetings
These will be included in personalized outreach messages
5

Special Preferences

Any specific investor criteria?
  • Geographic focus (e.g., “US-based only”, “Europe preferred”)
  • Investor type preference (angels, micro-VCs, institutional)
  • Specific sectors they should focus on
  • Any investors to avoid
Pro Tip: The more context you provide during onboarding, the better the investor matching and outreach personalization will be.

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Overview

The VC Analyst skill performs comprehensive investor intelligence:
  • Investor Research - LinkedIn profiles, investment history, portfolio companies
  • Fit Scoring - 0-100 score based on 5 key factors
  • Conflict Detection - Identify portfolio companies that compete with you
  • YC Database - Search Y Combinator companies for insights
  • Outreach Generation - Personalized messages with your pitch deck and calendar links

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Investor Scoring System

Every investor is evaluated on a 0-100 Fit Score based on 5 factors:

Stage Match

Weight: 25%Does the investor typically invest at your stage?
  • Pre-seed specialists
  • Seed-focused funds
  • Series A+ institutional

Check Size Fit

Weight: 20%Is your target raise within their typical range?
  • Angel: 25K−25K - 100K
  • Micro-VC: 100K−100K - 500K
  • Seed VC: 500K−500K - 2M
  • Series A: 2M−2M - 10M

Sector Alignment

Weight: 25%Do they invest in your industry?
  • Portfolio analysis
  • Stated thesis
  • Recent investment trends

Portfolio Conflict

Weight: 20%Do they have competing portfolio companies?
  • Direct competitors (red flag)
  • Adjacent space (yellow flag)
  • Complementary (green flag)

Activity Level

Weight: 10%Are they actively investing?
  • Recent deals (last 6 months)
  • LinkedIn activity
  • Speaking engagements

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Score Interpretation

ScoreRatingRecommendation
80-100Excellent FitPriority outreach - strong alignment
60-79Good FitWorth pursuing - minor gaps
40-59Moderate FitSelective approach - specific angle needed
20-39Weak FitLow priority - significant misalignment
0-19Poor FitSkip - fundamental mismatch

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Portfolio Conflict Detection

The skill automatically scans investor portfolios to identify potential conflicts:
What it means: Investor has a portfolio company directly competing in your spaceExample: You’re building a CRM, they invested in a CRM startupRecommendation: Usually avoid - unless their portfolio company failed or pivoted
What it means: Portfolio company operates in related but not directly competing spaceExample: You’re building sales automation, they invested in marketing automationRecommendation: Proceed with caution - clarify differentiation in outreach
What it means: Portfolio companies could be potential customers or partnersExample: You’re building API tools, they invested in companies that need APIsRecommendation: Highlight synergies - this is a plus!

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Usage Examples

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Research a Specific Investor

Research Garry Tan as a potential investor for my AI startup
What the skill does:
  1. Fetches LinkedIn profile and activity
  2. Analyzes Y Combinator portfolio (he’s YC CEO)
  3. Checks for portfolio conflicts
  4. Calculates fit score
  5. Generates personalized outreach message

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Find Investors by Criteria

Find seed-stage investors who focus on AI/ML and developer tools
What the skill does:
  1. Searches LinkedIn for matching investors
  2. Cross-references with YC database
  3. Scores and ranks each investor
  4. Presents top 10 with reasoning

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Analyze a VC Firm

Analyze Sequoia Capital for Series A fit
What the skill does:
  1. Researches firm’s recent investments
  2. Identifies relevant partners
  3. Analyzes investment thesis
  4. Checks portfolio for conflicts
  5. Recommends best partner to approach

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Generate Outreach

Create an outreach message for [investor name]
What the skill does:
  1. Uses onboarding context about your startup
  2. References investor’s recent activity/interests
  3. Includes your pitch deck link
  4. Adds calendar booking link
  5. Creates personalized, non-generic message

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Analysis Depths

Quick Scan

2-3 minutes
  • Basic profile info
  • Recent investments
  • Quick fit assessment
  • Short outreach draft

Standard Analysis

5-10 minutes (Default)
  • Full LinkedIn intelligence
  • Portfolio analysis
  • Conflict detection
  • Detailed scoring
  • Personalized outreach

Deep Research

15-20 minutes
  • Extended activity analysis
  • YC database cross-reference
  • Comprehensive portfolio scan
  • Multi-source web research
  • Strategic approach plan

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Key Features

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Multi-Source Intelligence

The skill gathers data from multiple sources:
  • Investor profile and background
  • Current fund and role
  • Investment history (from experience section)
  • Recent posts and activity
  • Engagement patterns and interests
  • Network connections
  • YC company database search
  • Batch and funding information
  • Founder backgrounds
  • Company status and outcomes
  • Similar companies analysis
  • Recent news and announcements
  • Podcast and interview appearances
  • Conference speaking engagements
  • Published investment theses
  • Portfolio company news
  • Current portfolio companies
  • Investment patterns and preferences
  • Sector concentration
  • Stage preferences
  • Geographic focus

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Personalized Outreach Generation

The skill creates outreach messages that:
  • Reference investor’s recent posts or investments
  • Highlight relevant portfolio synergies
  • Include your pitch deck link (from onboarding)
  • Add calendar booking link for easy scheduling
  • Avoid generic templates and cliches
  • Match investor’s communication style
Example Generated Outreach: 
Hi [Investor Name],

Your recent post about [specific topic] really resonated with what
we're building at [Company]. We're [one-line description] and just
[recent milestone].

I noticed you invested in [portfolio company] - we're seeing similar
patterns in [related area] but focused on [your differentiation].

Would love to share more: [Pitch Deck Link]

If you're interested, here's my calendar: [Calendar Link]

Best,
[Your Name]

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Investor Comparison

Compare multiple investors side-by-side: 
Compare Andreessen Horowitz, Sequoia, and Greylock for my Series A
Output:
Factora16zSequoiaGreylock
Stage Fit85%90%80%
Sector Fit75%85%90%
Check SizeMatchMatchMatch
ConflictsNone1 adjacentNone
Overall Score788582

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Behind the Scenes

The skill uses these AnySite MCP tools:
Tools:
  • search_linkedin_users - Find investors
  • get_linkedin_profile - Detailed profiles
  • get_linkedin_user_posts - Activity analysis
  • get_linkedin_company - Firm research
  • get_linkedin_company_employees - Partner discovery
Usage:
  • Investor background and experience
  • Investment history
  • Current fund information
  • Activity and engagement patterns

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Tips for Best Results

Complete the onboarding thoroughlyThe more context you provide about your startup, the better the investor matching and outreach personalization will be. Include:
  • Detailed company description
  • Current traction metrics
  • Pitch deck link
  • Calendar booking link
Be specific about your criteriaInstead of “find me investors”, try:
Find seed-stage investors who:
- Focus on B2B SaaS
- Have invested in developer tools
- Are based in SF Bay Area
- Write checks between $500K-$1M
Use conflict detection strategicallyA portfolio conflict isn’t always a dealbreaker:
  • If their portfolio company is struggling, they might want a better bet
  • Adjacent space investments show sector expertise
  • Ask about their conflict policy directly
Personalize the generated outreachThe skill provides a strong starting point, but always:
  • Add your personal touch
  • Reference specific, recent content
  • Customize the hook for each investor
  • Follow up within 1 week if no response
Track your outreachKeep a simple spreadsheet with:
  • Investor name and firm
  • Fit score from the skill
  • Outreach date
  • Response status
  • Next steps

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Example Output Preview

# Investor Intelligence Report: Sarah Chen

**Generated:** January 9, 2026
**Analysis Depth:** Standard
**Your Startup:** TechFlow (AI-powered developer tools)

## Executive Summary

Sarah Chen is a Partner at Acme Ventures focused on developer tools and
infrastructure. Strong stage and sector fit (Fit Score: 87/100). No direct
portfolio conflicts - her investment in CodeBase (code review tool) is
complementary. Very active on LinkedIn with 3-4 posts/week about developer
productivity.

## Investor Profile

- **Current Role:** Partner at Acme Ventures (since 2022)
- **Focus Areas:** Developer tools, infrastructure, AI/ML
- **Check Size:** $500K - $2M (seed), $2M - $5M (Series A)
- **Location:** San Francisco, CA
- **Background:** Former engineer at Google, ex-founder (acquired)

## Fit Analysis

### Stage Match: 95%
Acme Ventures primarily invests at seed and Series A. Your seed round
is squarely in their sweet spot.

### Check Size Fit: 90%
Your $1.5M target is within their typical $500K-$2M seed range.

### Sector Alignment: 90%
Strong focus on developer tools. Recent investments include:
- CodeBase (code review) - 2024
- DevMetrics (engineering analytics) - 2023
- APIHub (API management) - 2023

### Portfolio Conflicts: None Detected
No direct competitors found. CodeBase and DevMetrics could be potential
customers or integration partners for TechFlow.

### Activity Level: 85%
Very active - 2 investments in last 6 months, posts 3-4x/week on
LinkedIn about developer productivity and AI tools.

## Overall Fit Score: 87/100

**Rating:** Excellent Fit
**Recommendation:** Priority outreach - strong alignment across all factors

## Recent Activity Highlights

1. Posted about "The future of AI-assisted coding" (2 days ago)
2. Commented on thread about developer productivity tools (5 days ago)
3. Announced investment in DevMetrics Series A (2 weeks ago)
4. Spoke at DevCon about infrastructure investing (1 month ago)

## Recommended Outreach

**Best Approach:** LinkedIn DM or warm intro via [mutual connection]
**Timing:** Tuesday-Thursday, 9-11 AM PT (most active)
**Hook:** Reference her "AI-assisted coding" post

### Personalized Message

Hi Sarah,

Your post about AI-assisted coding really resonated - especially the part
about "tools that enhance rather than replace developer judgment." That's
exactly our philosophy at TechFlow.

We're building AI-powered code analysis that helps teams ship faster while
maintaining quality. Just hit 500 dev teams using our beta with 40% weekly
active usage.

I noticed your investments in CodeBase and DevMetrics - we're seeing
interesting integration opportunities in that space.

Would love to share our vision: [Pitch Deck Link]

If this sounds interesting, happy to chat: [Calendar Link]

Best,
[Your Name]

## Next Steps

1. Send LinkedIn connection request with personalized note
2. Engage with her recent post about AI-assisted coding
3. Follow up with outreach message in 2-3 days
4. Prepare answers for likely questions about competitive differentiation

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Troubleshooting

Solutions:
  • Try different name variations
  • Search by firm name + role instead
  • Check if they use a different professional name
  • Provide LinkedIn URL directly if available
Solutions:
  • Provide more context during onboarding
  • Specify your exact stage and check size
  • Clarify your industry/vertical
  • The skill may lack recent investment data - supplement with manual research
Solutions:
  • Some investments aren’t public yet
  • AngelList/Crunchbase may have more complete data
  • Ask the investor directly about potential conflicts
  • Cross-reference with firm’s website
Solutions:
  • Provide more specific startup details during onboarding
  • Include recent milestones or traction
  • Add pitch deck and calendar links
  • Ask for regeneration with specific angle
Solutions:
  • Verify the company/founder name spelling
  • Check if the company is actually YC-backed
  • Try searching by batch year
  • Use alternative data sources for non-YC companies

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Common Use Cases

Fundraising Prep

Build a targeted list of 50-100 investors before starting outreach

Warm Intro Research

Research an investor before asking for introduction

Meeting Prep

Deep-dive before an investor meeting to prepare talking points

Competitive Intel

Research investors who funded your competitors

Follow-up Strategy

Generate personalized follow-up after initial contact

VC Firm Analysis

Understand a firm’s thesis and find the right partner to approach

Person Analyzer Skill

General-purpose person intelligence for any professional

Competitor Analyzer Skill

Analyze competitors, market positioning, and strategic threats

MCP Server Tools

View all available AnySite MCP tools including YC database

Claude Desktop Setup

Install and configure AnySite MCP Server

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Need Help?

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Contact our support team for assistance with VC Analyst workflows
Created by: AnySite.io Version: 1.0 Last Updated: January 2026