Y Combinator CEO Garry Tan: Turning Ambitious Misfits into Founders

The world is full of problems, like why are people sort of retired in place? Pulling down You know, insane. by average American standards, absolutely insane salaries to build software that, you know, doesn't change, doesn't get better. You know, sometimes I sit there and I run into a bug, whether it's a Google product or an Apple product or, you know, Facebook or whatever. I'm like, this is an obvious bug. And I know that there are teams out there, there are people getting paid millions of dollars a year to make some of the worst software.

and it will never get fixed because people don't care, no one's paying attention. That's just one symptom out of uh a great many that is, you know, the result of basically treating people like, you know, hoarded resources. The world is full of problems. Let's go solve those things. Welcome to the Knowledge Project. I'm your host, Shane Parish. In a world where knowledge is power, this podcast is your toolkit for mastering the best of what other people have already figured out.

If you want to take your learning to the next level, consider joining our membership program at fs.blog slash membership. As a member, you'll get my personal reflections at the end of every episode, early access to episodes, no ads including this, exclusive content, hand edited transcripts, and so much more. Check out the link in the show notes for more. Today We're pulling back the curtain on one of the most powerful forces in the tech and venture capital world, why combinator? With less than a one percent acceptance rate and a track record that includes sixty percent of the last decade's unicorn startups, Y C has shaped the startup world as we know it.

We already have this episode, so unlocking it is cheap and permanent: the full transcript, segment and word-level timestamps, and .txt, .srt, .vtt and word-level JSON downloads, as many times as you like, forever.

10 free credits is 10 episodes like this one a month. Episodes nobody has transcribed yet cost their length in hours, because we have to actually transcribe them.