Interview, Fireside Chat
How I'm Investing My $230M Fund - AI Investor Tom Tunguz Breaks It Down
- The 230 million fund size was optimized via Monte Carlo simulations for a 10-year solo GP tenure to ensure consistent company backing, targeting a portfolio of 12 to 15 companies with 40 to 50% concentration in the top three holdings while maintaining a target of approximately 23 companies to capture 82 to 84% of diversification benefits.
- Initial checks are planned at 8 to 12 million per company, with 50% of the capital base allocated to three high-conviction investments identified after 6, 9, or 12 months of research centered on the "decade of data."
- Investment capabilities include potential co-leadership on $50 million Series A rounds, with no ability to lead such deals, whereas the firm intends to lead $15 million Series rounds from two different PCs.
- The firm employs a "Fermization" framework utilizing base rates of 60% for seed-to-Series A and 50% for Series B progression to calculate conditional probabilities, relying on the expectation that success odds improve as companies resolve key issues over time.
- Return projections utilize a historical forward multiple of roughly 5.5 times, rejecting a 20 times multiple for companies reaching $100 million value as unrealistic compared to the current market environment where top quartile companies trade at approximately six times.
- Expected value calculations account for a 4 percent annual dilution from ESOP pools and additional dilution from venture financing rounds.