Find, score, and connect with investors that actually fit your startup
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:
Before using this skill, ensure you have:
The VC Analyst skill requires Anysite MCP Server with active subscription
New to Claude Desktop Skills? Read the complete guide on how to install and use skills
Click to download the VC Analyst skill file
The VC Analyst skill starts with a 5-step onboarding process to understand your startup and fundraising context:
What's your role in the startup?
- Founder/CEO
- Co-founder (technical)
- Co-founder (business)
- Team member helping with fundraising
Tell me about your startup:
- Company name
- One-line description
- Industry/vertical
- Current stage (pre-seed, seed, Series A, etc.)
How much are you raising?
- $100K - $500K (pre-seed)
- $500K - $2M (seed)
- $2M - $5M (seed+)
- $5M - $15M (Series A)
- $15M+ (Series B+)
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*
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.
The VC Analyst skill performs comprehensive investor intelligence:
Every investor is evaluated on a 0-100 Fit Score based on 5 factors:
**Weight: 25%**
Does the investor typically invest at your stage?
- Pre-seed specialists
- Seed-focused funds
- Series A+ institutional
**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
**Weight: 25%**
Do they invest in your industry?
- Portfolio analysis
- Stated thesis
- Recent investment trends
**Weight: 20%**
Do they have competing portfolio companies?
- Direct competitors (red flag)
- Adjacent space (yellow flag)
- Complementary (green flag)
**Weight: 10%**
Are they actively investing?
- Recent deals (last 6 months)
- LinkedIn activity
- Speaking engagements
| 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 |
The skill automatically scans investor portfolios to identify potential conflicts:
**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
**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
**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!
Research Garry Tan as a potential investor for my AI startup
What the skill does:
Find seed-stage investors who focus on AI/ML and developer tools
What the skill does:
Analyze Sequoia Capital for Series A fit
What the skill does:
Create an outreach message for [investor name]
What the skill does:
**2-3 minutes**
- Basic profile info
- Recent investments
- Quick fit assessment
- Short outreach draft
**5-10 minutes** (Default)
- Full LinkedIn intelligence
- Portfolio analysis
- Conflict detection
- Detailed scoring
- Personalized outreach
**15-20 minutes**
- Extended activity analysis
- YC database cross-reference
- Comprehensive portfolio scan
- Multi-source web research
- Strategic approach plan
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
The skill creates outreach messages that:
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]
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 |
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
**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
**Tools:**
- `duckduckgo_search` - Web search
- `parse_webpage` - Page parsing
**Usage:**
- News and announcements
- Investment theses
- Podcast appearances
- Portfolio analysis
Complete the onboarding thoroughly
The more context you provide about your startup, the better the investor matching and outreach personalization will be. Include:
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:
Personalize the generated outreach
The skill provides a strong starting point, but always:
Track your outreach
Keep a simple spreadsheet with:
# 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
**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
Build a targeted list of 50-100 investors before starting outreach
Research an investor before asking for introduction
Deep-dive before an investor meeting to prepare talking points
Research investors who funded your competitors
Generate personalized follow-up after initial contact
Understand a firm's thesis and find the right partner to approach
General-purpose person intelligence for any professional
Analyze competitors, market positioning, and strategic threats
View all available Anysite MCP tools including YC database
Install and configure Anysite MCP Server
Contact our support team for assistance with VC Analyst workflows
Created by: Anysite.io Version: 1.0 Last Updated: January 2026