Evidence receipt / belief
Published · transcript-backedLenny Rachitsky: belief
22 Jun 2025 Lenny's Podcast From ChatGPT to Instagram to Uber: The quiet architect behind the world’s most popular products | Peter Deng
“The CEO of Windsurf was on the podcast and we talked a lot about how they've all this really unique data about which recommendations of code snippets people accept and reject and they actually launched their model I think based on that.”
Source trail
Everything needed to verify it.
- Speaker
- Lenny Rachitsky
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 22 Jun 2025
- Publisher
- Lenny's Podcast
Transcript context
…Yeah. Well, it's, again, this is something we can unpack for a long time. Because with any product that you want to build, there's going to be incumbents that have distribution advantages. But I do have this thesis that there are certain- ... have distribution advantages, but I do have this thesis that there are certain products that will be able to break through those advantages of the distribution of the other companies, but you have to overcome a pretty high bar of your product has to be so much better. I think that's one thing. But yeah, I think that data flywheel thing is really interesting because the models will get really good at whatever data you show it, and that's one of the things that people just think that AI is such a magic wand. But no, it's like if it's been trained on the right data, it's going to do the thing that it's been trained on. It's very malleable. Being very mindful of the data that you have access to to start your flywheel going and what you can do to keep on going with that flywheel is going to be a critical thing for anyone who's starting a company today. Let's make that even more specific. When you talk about this, I think about... The CEO of Windsurf was on the podcast and we talked a lot about how they've all this really unique data about which recommendations of code snippets people accept and reject and they actually launched their model I think based on that. Is that example? Any other examples to make this real? That's a perfect example. There's some companies I've invested in that aren't public yet that have their own take on that, which is really interesting to be able to take whatever activity is in their product to get smarter at the thing that they are doing, again, which is why I think the data flywheel and the workflow goes so hand in hand together, because if you are solving something actually valuable for businesses, for people, and there's a lot of that attention that's being paid to, a lot of work is being done through it, you're going to have that edge. This is where I see again startups in very different markets who have this insight, who understand this very deeply, and are not just trying to zero shot everything and be like, "No, no, no. This is how we're going to build it to make the product genuinely useful so that it can get genuinely more useful over time." That is going to be amazing because as a consumer of any of these products, we're going to benefit.…
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