How to Pitch Forerunner Ventures
A practical guide based on our AI simulation of Forerunner Ventures'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 Forerunner Ventures content.
Investment Thesis
Emphasises consumer insight, brand as a durable asset, and the emotional job a product does.
What They Look For
Sectors
Stages
Typical check size: $1000000M – $20000000M
Red Flags
Things Forerunner Ventures investors watch for — avoid these in your pitch.
- No genuine consumer insight
- Brand as decoration rather than moat
- Paid acquisition dependency with no organic pull
- Unclear why the customer would care
- Founder who has not talked to their users
Questions They'll Ask
Prepare answers for these. The AI persona will challenge you on them.
- What is the emotional job this product does for someone?
- How do people find you when you are not paying for them to?
- What shift in how people live makes this inevitable?
- What is your repeat rate, honestly?
- Why will people talk about this?
1 AI Persona to Pitch
Kirsten Green
Founder & Managing Partner
Intuitive, emotionally intelligent, deeply curious about behaviour. Cares as much about the why as the what. · Perceptive, consumer obsessed, warm but sharp on the unit economics behind the brand story.
Ready to pitch?
Pitch the AI simulation of Forerunner Ventures's thesis. Get a 12-dimension scored verdict. If you pass, your report surfaces to the real fund.
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