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:
Runner H scraping for CEO backgrounds
Auto-generated memo with $141M Series B details
Pitch deck Slide 1 showing valuation
Sent Email
How I Used Runner H
My Automation Architecture:
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Multi-Source Intelligence Gathering
- Configured Runner H to cross-reference Crunchbase, LinkedIn, and news sources
- Implemented fallback protocols when encountering paywalls or CAPTCHAs
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Smart Document Generation
- Designed templates for investment memos with dynamic data insertion
- Automated 5-slide pitch decks with consistent branding
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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
Social Love
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