Every investor has a version of “what we look for in a founder” usually some mix of grit, vision, and an ineffable sense that someone is “the one.” It makes for good pitch deck copy. It’s much less useful when you’re actually trying to figure out, across hundreds of decisions a year, who’s likely to make it through the brutal middle of a company’s life. So set the adjectives aside for a moment and look at what the data actually shows separates founders who get through that middle from the 90% who don’t.

Experience compounds but not evenly

The single largest gap in the data isn’t between “good” and “bad” founders in some abstract sense it’s between first time and repeat founders. Founders with a successful track record have roughly a 30% chance of success on their next venture, compared to 18% for first-timers. Serial entrepreneurs also secure early stage funding at meaningfully higher rates than first-time founders.

Interestingly, founders who’ve failed before still slightly outperform first timers 20% versus 18%. That’s a meaningful signal in itself: the experience of having built and lost something appears to teach lessons that “starting fresh” doesn’t. For investors, this is part of why “failed founder, trying again” is often a stronger signal than it looks on paper and for founders on a second attempt, it’s worth leaning into that story rather than downplaying it.

The team you build before day one

Long before product market fit, the first major decision a founder makes is who else is in the room and the data on this is unusually clear. Startups with two co-founders raise roughly 30% more capital than solo founders. Having a mentor is associated with a 33% higher success rate. And startups that go through an accelerator program are three times more likely to succeed than those that don’t.

None of these are guarantees, and none of them are about “talent” in the way pitch narratives often frame it. They’re about structure the scaffolding a founder builds around themselves before the hardest parts of the journey begin. A second co-founder, a mentor relationship, a cohort of peers going through the same thing at the same time: each of these reduces the number of decisions a founder has to make entirely alone, under uncertainty, for the first time.

That last point matters because co-founder relationships cut both ways. The same research that shows two-founder teams raise more money also identifies co-founder conflict as one of the leading causes of early failure. The advantage of a co-founder isn’t automatic it’s conditional on the relationship being built deliberately, with the hard conversations about equity and roles happening early rather than after the first disagreement.

What actually kills startups

If 90% of startups fail, the more useful question for a founder or an investor evaluating one isn’t “will this fail?” but “which failure mode is this team most exposed to?” The data breaks down fairly cleanly into a small number of recurring patterns.

The categories overlap a startup with no go to market engine and poor culture often also has a product market fit problem underneath, because the team isn’t getting clear signal from the market either way. But the pattern worth internalizing is that most failure is operational, not visionary. It’s rarely that the founder picked the “wrong” big idea. It’s that the muscle for turning that idea into a repeatable, fundable business go to market, cost discipline, team cohesion wasn’t built in time.

Age, timing, and the myth of the 22 year old founder

One of the more counterintuitive findings in recent research cuts against the popular image of the young prodigy founder: across broad samples of business outcomes, founders around 45 years old demonstrate the highest success rates. This doesn’t mean younger founders can’t succeed plenty obviously do, especially in software but it’s a useful corrective to the idea that youth itself is the advantage.

What’s likely driving this is less about age per se and more about what tends to come with it: domain expertise, an existing network of early customers and hires, and circling back to the first section often a prior venture’s worth of pattern recognition. The 45 year old founder isn’t succeeding because they’re 45. They’re succeeding because by 45, more of them have already lived through a failure, built a network, and developed a sharper sense of what a real customer problem looks like versus an interesting one.

The market still matters a lot

None of the founder level factors above operate in a vacuum. 2025 was a reminder of how much capital concentration around a handful of categories shapes outcomes regardless of founder quality: 46% of Q3 2025 venture funding went to AI, and roughly a third of that went to just 18 mega deals. Meanwhile seed funding has stayed relatively flat meaning the squeeze isn’t at the very top or the very bottom, it’s in the climb between stages.

For founders outside the current AI mega deal wave, this isn’t a reason for despair it’s a reason to be more deliberate. Capital efficiency getting further on less, proving unit economics before scaling headcount has gone from a nice to have to a genuine differentiator, because it’s one of the few levers a founder fully controls regardless of which way the macro winds are blowing.

What this means in practice

Pulling these threads together, the founders who consistently beat the base rates tend to share a few things that are visible well before any outcome is known which is exactly why they’re useful as signal during diligence, and as a checklist for founders building their own teams.

None of this replaces judgment, and none of it guarantees an outcome 90% of startups still fail, including ones built by experienced founders with great co-founders and strong mentors. But across a large enough sample, these patterns are remarkably consistent. The adjectives (“visionary,” “scrappy,” “relentless”) might describe how a founder feels in the room. The numbers describe what tends to actually move the odds.