Automated VC Analyst: AI-Powered Investment Memos & Pitch Decks

This is a submission for the Runner H "AI Agent Prompting" Challenge

What I Built

An end-to-end VC analyst replacement that:

• Researches startups using Crunchbase/LinkedIn (with smart fallbacks)
• Generates investor-ready memos (example: Hippocratic AI memo, NeuroFlow Investment memo)
• Creates 5-slide pitch decks (example: Slide deck)
• Alerts via email/Slack with data confidence scores

Solves: The $200K/year job of junior VC associates (saves 20+ hours/week)

Demo

See this in Action!
**Key Screenshots:

1. Runner H scraping for CEO backgrounds
   

2. Auto-generated memo with $141M Series B details
   
   

3. Pitch deck Slide 1 showing valuation

4. Sent Email
   

How I Used Runner H

My Automation Architecture:

1. Multi-Source Intelligence Gathering

   • Configured Runner H to cross-reference Crunchbase, LinkedIn, and news sources
   • Implemented fallback protocols when encountering paywalls or CAPTCHAs

2. Smart Document Generation

   • Designed templates for investment memos with dynamic data insertion
   • Automated 5-slide pitch decks with consistent branding

3. Decision-Ready Outputs

   • Programmed confidence scoring for estimated data
   • Added urgency flags for time-sensitive opportunities

Technical Breakthroughs:

• Solved the "empty Crunchbase" problem by switching to LinkedIn job postings
• Transformed news sentiment analysis into risk assessment grades
• Built self-correcting valuation models using team size benchmarks

Use Case & Impact

Quantifiable Benefits:
⏱️ Time Saved: 20+ hours/week per VC associate
💰 Cost Reduction: 90% cheaper than manual research ($2,400 → $0.20 per analysis)
🚀 Speed Gain: Processes startup profiles 40x faster (8 hrs → 12 mins)

Real-World Impact:
• Eliminates junior analyst grunt work
• Enables faster investment decisions
• Democratizes VC research for angels/small funds

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