👋 Hi, I’m Andre and welcome to my newsletter Data Driven VC which is all about becoming a better investor with data and AI.
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Welcome to another Data Driven VC “Insights” episode where we cover the most interesting research and reports about startups, GPs, LPs, AI & automation.
Venture Capital Is Getting McDonaldized
Kyle Harrison at Contrary argues venture capital is being McDonaldized: a chain of sensible choices by LPs and GPs is pushing the whole industry toward size and consensus.
New Funds Stayed Small as Capital Pooled: Partners kept leaving big firms to start their own $80M to $350M funds. Still, first-time funds fell from 479 in 2022 to 81 this year, and firms on fund IV or later took a record 88.2% of US capital.
Safe Choices Add Up to Sameness: LPs back big brands to avoid career risk, and those firms race to own the most obvious companies. As a result, AI takes 82.7% of US venture dollars while everything else has stayed roughly flat since 2023.
Payouts Make Consensus Feel Responsible: This cycle's consensus bets are returning cash, with Cursor becoming the biggest venture-backed acquisition ever. Each payout makes the next consensus check feel more responsible, yet Harrison warns such a system mostly recycles past winners.
✈️ KEY TAKEAWAYS
Harrison argues that only a manager’s own beliefs can resist the pull toward consensus. The managers worth backing will stand apart for years, even while consensus bets pay off for everyone around them.
Founder Signals That Predict Top-VC Leads
Deedy Das at Menlo Ventures tested 63 founder traits across 8,525 US startups founded from 2019 to 2026 to see which ones go with a top-tier VC leading the seed or Series A.
Ex Top-Fund Staff Get Nearly 3x the Odds: Founders who previously worked at a top-tier VC firm had 2.83 times the odds of a top-tier lead compared with otherwise similar founders, the strongest signal in the analysis.
Frontier Labs and Israeli Schools Follow: Founders from frontier AI labs (2.16x) or the Technion and Tel Aviv University (2.07x) came next, each roughly doubling the odds of a top-tier lead.
MBAs Lower the Odds: Founders with any MBA had 0.65 times the odds of a top-tier lead, and teams whose oldest founder is 40 to 49 (0.76x) or 50 and older (0.57x) also had lower odds.
✈️ KEY TAKEAWAYS
The strongest signal is closeness to a top fund, which suggests top VCs back founders who resemble their own networks. Emerging managers can look outside that loop for less contested deals, keeping in mind these are correlations in observational data.
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First Funds Punch Above Their Weight
Dan Gray at Odin extends their ranking of top VC firms to cover more M&A exits and finds debut funds and funds up to $25M overrepresented among the best performers in a 450-fund sample.
Small Funds Win Despite a Big-Fund Bias: Odin's ranking leans on IPO exits, which is likely to favor large funds that need big outcomes. Even so, funds up to $25M make up 22% of the top 10% while accounting for just 12% of the 450-fund sample. Funds over $500M are also overrepresented, while those between $25M and $250M fall short.
The Fund I Edge Vanishes at Fund II: Debut funds are 33% of the top performers against 20% of the sample, an edge that disappears abruptly by funds two and three. Gray reads this as LPs struggling to pick which managers deserve a Fund II.
LPs Pick Poorly by Relying on Paper Gains: Gray suggests LPs decide who gets to raise a Fund II mostly by how the portfolio is valued on paper, which can run high in hot markets. Judging the companies themselves takes more work, and may be what reveals the strongest debut managers.
✈️ KEY TAKEAWAYS
For LPs, small and first-time funds deserve a closer look, with decisions to back a manager again based on company quality over paper valuations. Emerging managers can turn this to their advantage by pitching the debut-fund edge, backed by company progress that holds up under scrutiny.
Seven Red Flags That End Pitches Early
Stanford GSB professor Ilya Strebulaev maps the red flags investors use most in initial screening, drawing on research and his analysis of a large number of angels and VCs.
70 of 100 Never Get a Meeting: About 70 of every 100 startups that reach an investor are discarded without a meeting, many within a minute of the email being opened, and founders who do get the meeting often hear a pass within two minutes.
Seven Questions Drive Early Passes: Strebulaev lists management team, market need, market potential, product development, cost, financials and business model, and competition as the screening factors, with management team the most common reason an opportunity is discarded.
One or Two Flags Are Enough: A single unanswered flag or two is all it takes, so he advises founders to step into the investor's shoes, find the questions they cannot answer well and fix those spots first.
✈️ KEY TAKEAWAYS
Founders should test their pitch against all seven questions before sending it, starting with the team. For investors, the table works as a screening checklist that can make fast passes more consistent across partners.
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How to Judge a Young VC Fund
Paul Klay at Begin VC lays out what LPs can check before a fund returns meaningful capital, since DPI takes 10 to 15 years to mature.
Early DPI Says Little: Median DPI was just 0.37x for 2017-vintage funds as of Q2 2026, and one analysis of 71 funds from 2005 to 2008 found a correlation of only 0.22 between year-five DPI and final DPI.
Graduation Rates Show Up Early: About 10% of seed companies reach Series A within 12 months and another 15.6% in months 12 to 24. By year three, roughly 80% of eventual graduates have already raised, so the rate shows portfolio quality long before DPI.
One Winner Must Return the Fund: Klay checks whether ownership and fund size let a single exit return the fund, using a Founder Collective estimate that the median of the 500 largest exits over the past 25 years is about $2.7B.
✈️ KEY TAKEAWAYS
LPs judging a three- to five-year-old fund can lean on graduation rates, exit math and how recently holdings were valued, leaving DPI as the final verdict. GPs heading into a Fund II raise should expect diligence on exactly these signals.
Four Mindsets Behind VC Investing Decisions
Martin Casado at a16z defines four archetypal investment philosophies in The Evolving Landscape of Venture Capital Mindsets, offering a shared vocabulary for deal discussions.
A Finance Lens Clashes With Early Tech: As venture professionalized, more firms judge startups by metrics and market size. Casado argues this fits poorly early on, since new technology tends to arrive before its business model and creates markets that TAM analysis can't see.
Four Mindsets, Mixed Into a Grab Bag: Investors lean Financial (metrics), Productive (tech creates markets), Frontier (back founders before anything works) or Speculative (price and timing). Trouble starts when arguments from different mindsets get cherry-picked to justify or kill a deal.
Pick a Core Belief and Stick to It: Casado urges funds to hold one philosophy across deals, often shifting by stage from Frontier to Productive to Financial. He calls himself strictly Productive, citing Uber, GitHub and Cursor as companies whose markets turned out far bigger than expected.
✈️ KEY TAKEAWAYS
For GPs, the test is whether each objection in a deal debate matches the belief behind the bet. Writing down the fund's core mindset, and flagging deals that break from it, keeps investment committee debates coherent.
That’s it for today!
Stay driven,
Andre
