Evidence receipt / belief
Published · transcript-backedAnton Osika: belief
9 Mar 2025 Lenny's Podcast Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO)
“I am a bit hard-pressed to find something that totally failed, but I think there's a bit of a product lesson where I was the first employee at an AI startup here in Stockholm called Summer Labs, and the premise was just, okay, so humans learn in different ways.”
Source trail
Everything needed to verify it.
- Speaker
- Anton Osika
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 9 Mar 2025
- Publisher
- Lenny's Podcast
Transcript context
…Wow, that's huge. Okay. Because basically most people, so that's going to be a big deal. Okay. Final question. We have the segment on this podcast called Failure Corner, where most people come to this podcast, they show all these stories of success and everything's going great, and here's all the things always winning. You guys, this is a good example, just up into the right, the fastest growing product ever. What's an example when something totally failed in the course of your career and what did you learn from that? I am a bit hard-pressed to find something that totally failed, but I think there's a bit of a product lesson where I was the first employee at an AI startup here in Stockholm called Summer Labs, and the premise was just, okay, so humans learn in different ways. If you personalize, then you get two standard deviations more effective learning. So there are a lot of products like education software that helps you learn that is not personalized. And we were building an API to personalize learning and the AI and so on, it was pretty good. But the thing that we were doing in the end was to say like, Okay, here's this product. Someone has to build a product or some way to learn or be it like English thing Duolingo, and then the people that have that product have to use this advanced AI API to start making it personalized. And it is very hard retrofitting like, oh, you have to switch out the engine and put in this AI. And the big learning here is that it didn't work very well for the company. I mean, the company wasn't super successful in this. The big learning is that you have to start with how is this product working end-to-end and then add AI or think where should we add AI? So that was a big learning for me that you really want to see what does the big picture of the user, what's the big picture of how do you think the user experience should be? And then add something with AI to solve specific problems. And now Summer Labs is doing great, but it's not on top of that product specifically. I think it's a lot of people hear this and they're like, of course, but I think it's so hard to actually remember this point when you have some cool tech and you're like, "Holy shit, everyone needs to try this. They're going to love it." And then you don't realize no one actually cares if it's not solving a problem for them. There's a lot of novelty products that everyone want to use for a little bit and then forget instant, I don't actually need this often. And so what this makes me think about is, there's all these product lessons for what is likely to help your product be successful. And an app like a tool like Lovable can help you do this because if someone is building something, you can guide them, Okay, what's the problem you're solving for somebody? How many people have this problem? How much does this matter to them?…
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