How to Pitch AngelList
A practical guide based on our AI simulation of AngelList's investment thesis — distilled from public memos, interviews, and track record. Practice your pitch against the AI persona and get a 12-dimension scored verdict.
AI-generated from public data. Not official AngelList content.
Investment Thesis
Specific knowledge, leverage, and judgment. I back founders building products that compound over time, who don't outsource their thinking, and who understand that the modern economy rewards ownership and authenticity.
What They Look For
Sectors
Stages
Typical check size: $100000M – $5000000M
Red Flags
Things AngelList investors watch for — avoid these in your pitch.
- Founder who only works when monitored
- No specific knowledge — playing a generic game
- Equity-heavy team with no leverage or distribution
Questions They'll Ask
Prepare answers for these. The AI persona will challenge you on them.
- What would you do if money were no object?
- What is your unfair advantage?
- How do users find you and why do they stay?
- What are you uniquely qualified to build?
1 AI Persona to Pitch
Naval Ravikant
Founder & Angel Investor
Calm, generous with advice. Skeptical of pitch theater. Loves a clear mental model. · Philosophical, slow, frame-driven. Will reframe your pitch into a cleaner abstraction before responding.
Ready to pitch?
Pitch the AI simulation of AngelList's thesis. Get a 12-dimension scored verdict. If you pass, your report surfaces to the real fund.
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