This Week in Startups · 2026-08-07 · 78 min · 15,408 words

How AI splits startups into winners and losers | E2322

Listen to the original audio · Transcribed with NVIDIA Parakeet · Timestamps stay in sync with the live audio

All right, everybody, welcome back. It's this week in startups with me again, my guy, Lon Harris. We've got two amazing guests today. We're gonna get to them in a moment. We've got Ro.co Wait Bet that's coming at the end of the show with my brother Jamie and Lon. And uh lots of news. This week in Startups is brought to you by Lightfield, the AI native CRM that updates itself so your team never has to. Try it for free at lightfield.app. Sentry. Your team should be focused on shipping features, not chasing down bugs. New users can get two hundred and forty dollars in free credits when they go to sentry.io slash twist and use the code twist. And Digital Ocean. Want to see what building on a true AI native platform looks like? Head to DO.co slash twist to start building on DigitalOcean's AI Native Cloud today and cut your AI workload costs by up to fifty percent. The first thing I wanna get to is markets lawn.

We've had a uh a lot of market activity. Markets hit an all time high, as many people know. But what has been surprising is after this uh hedge fund blew up. um situational awareness. He had a lot of short on SaaS companies. Correct. And SaaS companies have been

Uh taken to the woodshed, right? We we just saw air table get sold. I think we talked about that already on Wednesday show. But Companies that have embraced AI and gone AI first. have had a little bit of a turnaround here and uh it's a it's a mixed bag. But if you look at

That is the first couple of minutes. The rest is 1 credit.

We already have this episode, so unlocking it is cheap and permanent: the full transcript (78 minutes, 15,408 words), 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.