> ## Agent Instructions
>
> Base URL: https://api.anysite.io
> Authentication: send the `access-token` header. Do NOT use `Authorization: Bearer`.
> Full endpoint catalog: https://app.anysite.io/docs
# VC Analyst Skill

Find, score, and connect with investors that actually fit your startup

## 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

## 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

## Download VC Analyst Skill

#### Download VC Analyst Skill

  Click to download the VC Analyst skill file

### 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

## Smart Onboarding

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

  
#### About You

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

  
#### About Your Company

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

  
#### Target Check Size

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

  
#### 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*
  

  
#### 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.

## 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

## 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 - $100K
    - Micro-VC: $100K - $500K
    - Seed VC: $500K - $2M
    - Series A: $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
  

### Score Interpretation

| Score | Rating | Recommendation |
|-------|--------|----------------|
| 80-100 | Excellent Fit | Priority outreach - strong alignment |
| 60-79 | Good Fit | Worth pursuing - minor gaps |
| 40-59 | Moderate Fit | Selective approach - specific angle needed |
| 20-39 | Weak Fit | Low priority - significant misalignment |
| 0-19 | Poor Fit | Skip - fundamental mismatch |

## Portfolio Conflict Detection

The skill automatically scans investor portfolios to identify potential conflicts:

  
#### Direct Conflict (Red Flag)

    **What it means:** Investor has a portfolio company directly competing in your space

    **Example:** You're building a CRM, they invested in a CRM startup

    **Recommendation:** Usually avoid - unless their portfolio company failed or pivoted
  

  
#### Adjacent Space (Yellow Flag)

    **What it means:** Portfolio company operates in related but not directly competing space

    **Example:** You're building sales automation, they invested in marketing automation

    **Recommendation:** Proceed with caution - clarify differentiation in outreach
  

  
#### Complementary (Green Flag)

    **What it means:** Portfolio companies could be potential customers or partners

    **Example:** You're building API tools, they invested in companies that need APIs

    **Recommendation:** Highlight synergies - this is a plus!
  

## Usage Examples

### 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

### 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

### 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

### 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

## 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
  

## Key Features

### Multi-Source Intelligence

The skill gathers data from multiple sources:

  
#### LinkedIn Intelligence

    - Investor profile and background
    - Current fund and role
    - Investment history (from experience section)
    - Recent posts and activity
    - Engagement patterns and interests
    - Network connections
  

  
#### Y Combinator Data

    - YC company database search
    - Batch and funding information
    - Founder backgrounds
    - Company status and outcomes
    - Similar companies analysis
  

  
#### Web Research

    - Recent news and announcements
    - Podcast and interview appearances
    - Conference speaking engagements
    - Published investment theses
    - Portfolio company news
  

  
#### Portfolio Analysis

    - Current portfolio companies
    - Investment patterns and preferences
    - Sector concentration
    - Stage preferences
    - Geographic focus
  

### 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]
```

### Investor Comparison

Compare multiple investors side-by-side:

```
Compare Andreessen Horowitz, Sequoia, and Greylock for my Series A
```

**Output:**

| Factor | a16z | Sequoia | Greylock |
|--------|------|---------|----------|
| Stage Fit | 85% | 90% | 80% |
| Sector Fit | 75% | 85% | 90% |
| Check Size | Match | Match | Match |
| Conflicts | None | 1 adjacent | None |
| **Overall Score** | **78** | **85** | **82** |

## Behind the Scenes

The skill uses these Anysite MCP tools:

  
#### LinkedIn 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
  

  
#### Y Combinator Tools

    **Tools:**
    - `yc_search_companies` - Search YC database
    - `yc_search_founders` - Find YC founders
    - `yc_company` - Company details

    **Usage:**
    - Portfolio company research
    - Competitive landscape
    - Similar company analysis
    - Founder backgrounds
  

  
#### Web Research

    **Tools:**
    - `duckduckgo_search` - Web search
    - `parse_webpage` - Page parsing

    **Usage:**
    - News and announcements
    - Investment theses
    - Podcast appearances
    - Portfolio analysis
  

## Tips for Best Results

> 
**Complete the onboarding thoroughly**

The 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 criteria**

Instead 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 strategically**

A 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 outreach**

The 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 outreach**

Keep a simple spreadsheet with:
- Investor name and firm
- Fit score from the skill
- Outreach date
- Response status
- Next steps

## Example Output Preview

```markdown
# 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
```

## Troubleshooting

  
#### Investor not found on LinkedIn

    **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
  

  
#### Fit score seems inaccurate

    **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
  

  
#### Portfolio conflict detection missing companies

    **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
  

  
#### Outreach message too generic

    **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
  

  
#### YC data not loading

    **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
  

## 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
  

## Related Resources

  
#### 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
  

## Need Help?

#### Get Support

  Contact our support team for assistance with VC Analyst workflows

---

**Created by:** Anysite.io
**Version:** 1.0
**Last Updated:** January 2026