Patrick Collison on building Stripe & craft
Collison treats company-building as a compounding craft that starts from a concrete, viscerally felt customer problem and an applied theory of how some market works. He hired the first people painfully slowly because each one selects the next fifty, kept the team small enough to stay maximally responsive, and was willing to delay launch so long as real customer feedback kept flowing. He sweats foundational choices — APIs, data models, infrastructure — because they endure for decades, and in the AI era reframes the same instinct as 'craft and beauty': abundant software must not mean more slop.
16 points · 6 appearances · 2015–2026
How the view evolved
Be okay hiring painfully slowly → Craft and beauty versus AI slop
2015 (Blitzscaling) vs 2025 (Cursor): in 2015 Collison framed engineering quality as won through painfully slow, persistent acquisition of scarce top developers — the constraint was elite talent. By 2025 he treats software itself as becoming abundant via AI, and relocates the constraint to 'craft and beauty': the worry is no longer finding people who can produce great software, but ensuring the AI-driven flood produces more of the best software and not just more slop.
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2019–2026 · changed view
“Since I was born for example global life expectancy has increased by about six years and infant mortality has fallen by more than 50% again I mentioned the statistic you know the number of people who have left extreme poverty this is incredibly important right and so I think there's a you know we're not the first people to say it but there is a moral imperative to this kind of progress and we shouldn't lose sight of that fact.”
2019–2024
“Part of our hope you know it's not to kind of promote any specific solution any specific I don't know aspect of it but rather that you know even though this is not what's kind of focally central in the headlines today it should be and as we think of what the world is going to look like in 50 years or 100 years it plausibly more than anything else is going to determine the shape of that.”
2024–2026
“Looking at the stripe data, one thing I will say that I think is germane to people here. There are many more businesses getting started now than there were a year ago. Like as little as a year ago. Way, way more than we're getting started five years ago. And actually the relative change between last year and this year is pretty much the largest relative change we've seen in any given year. So for example, from 19, from 2019 to 2020, we saw a big jump, you know, understandable during COVID so February to April of 2020 or whatever, you know, I think the growth rate inflected to maybe 50% or thereabouts year over year. In terms of new businesses getting started. As I speak, the number of new business starting on stripe is up around, it's a bit under, but around 2x year over year, which again is the largest relative jump we've seen.”
2022–2024
“In many domains, I don't know. For example I have no facility with or experience with doing things in hardware, which is not a small domain. If you wanted to become a super skilled practitioner there, what's the best career path? I don't know. Maybe it's to drop out and join SpaceX or something. I'm not necessarily endorsing pursuing the most establishment and credential oriented path. People should try to find the gradient of maximal learning in whatever it is they care most about. The question then is what that is. For biology, not that I'm a biologist, but it is very clear that in order to do really good work, there are a lot of "bench" skills one has to acquire and there is a lot of actual specific knowledge. Any kind of life wasn't designed with neat fundamental principles the way that maybe physics was. A lot of it is obviously evolved and contingent and messy and complicated and all the rest. So there is a lot of specific factual stuff to learn. For those two reasons, there are very few successful pure autodidacts in biology. In virtually every case that I'm aware of, at some point, you have to get direct experience in and with a top lab, where you're seeing how people actually do it in practice.”