Data Driven VC is a community of 45k+ experts at the intersection of venture capital, data, and AI. Everything you need to run a modern investment firm.
1 engineer for every 5 investors.
That ratio holds across 345 VC firms, regardless of fund size.
Investor and engineering headcount both scale roughly 7x across AUM tiers.
Smaller firms are getting leaner too: lower AUM firms run with 25% smaller investment teams than in 2025, while larger AUM firms run with 20% larger teams.
The SPV is dead, long live the SPV 💀
@credistick from @JoinOdin surveyed 56 GPs on how small funds actually use SPVs.
84% adoption: 39 of 56 GPs already use SPVs, 8 more planning to. 80% run funds under $100M; 51 of 56 invest at Pre-Seed/Seed.
52% of investment firms don't trust AI with sensitive data.
Our 2026 DDVC Landscape Report surveyed 137 firms on their top AI concerns:
→ Data breaches: 52%
→ Algorithmic bias: 38%
Deal information, LP data, and proprietary research are the assets firms are least willing to expose.
How is your firm protecting its data while still moving fast on AI adoption?
Track record predicts a VC's own lifetime profits. It does NOT predict a fund's net IRR or TVPI (the returns LPs actually receive). Two separate diligence questions.