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$13B Lovable Co-Founder: Build a Profitable AI Product From Scratch in 30 Minutes artwork

$13B Lovable Co-Founder: Build a Profitable AI Product From Scratch in 30 Minutes

Silicon Valley Girl: AI, Tech and Career Growth

September 25, 2026

Anton Osika runs Lovable, one of the fastest-growing AI companies in the world, and he's done with the words "vibe coding." Vibes work for a demo, but people now run real businesses on Lovable.

Speakers Marina Mogilko, Anton Osika

TopicsTechnology

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Marina Mogilko (0:58)

We're abandoning the word, Vibe Coding.

Anton Osika (1:01)

Yeah, Vibe works for demo, but we're way past that. You don't build your company on vibes.

Marina Mogilko (1:07)

This is Anton Osika. He launched Lovable, where anyone can build an app without code. Less than two years later, the company is worth $13 billion. Together, apps built on Lovable now get nearly a billion visits every month. And more than a third of the people building businesses on the platform are already making money.

Like I've seen those dogs build on Lovable. $300,000 a month?

Anton Osika (1:28)

Yes.

Marina Mogilko (1:29)

Why? How is that a business idea?

Anton Osika (1:32)

I think the creativity is the biggest differentiator as the execution becomes easier.

Marina Mogilko (1:37)

What everyone in the knowledge worker space should be building for yourself to make their lives easier.

Anton Osika (1:42)

Everyone should build an agent for themselves. Is it okay if I have to do the prompt here?

Marina Mogilko (1:45)

Please. Yeah. I want to see your prompt.

When I tried Vibe Coding, there were so many errors even a year ago. Like this QA was all manual. You would run into bugs. Now you said you're abandoning the word Vibe Coding.

Anton Osika (2:01)

Yeah. Vibe works for demo, but we're way past that. You don't build your company on Vibe's, and people are running their businesses on our platform. I have these amazing founders.

Sabrine, she's building a startup called Plink, and she wanted to solve a real problem that she saw in the world, which is that, can I trust this person I'm dating? And she's been able to reach thousands of dollars in revenue on something that's just for social good.

And the beautiful thing that I think it comes back to is that it used to be so hard to build the software, and it used to be a lot of overhead to run your business, and you can now simplify a lot of those things. And that's not something you do on Vibes, it's something you do on a serious platform.

Marina Mogilko (2:48)

And when you think about a problem that you're solving, do you have a framework in your head? How do you solve a problem that seems kind of big? Do you separate it into tasks? Because, okay, like I want to build this content machine, for example, I don't know. When you have a problem that you want to automate, what is your thinking process of how to do it step by step and whether some of the problems are worth automating and some not?

Anton Osika (3:10)

I think it's usually good to just do things manually and then be systematic about, okay, how can I break this down into pieces that I can test and see if I can get the value from if something is broken that replicates the thing I used to do manually. If you're over-engineering or you're overly ambitious from the get-go, then you might end up being very close, but there's some small part somewhere that doesn't work in the way that you thought it would work or your solution wasn't the right one.

And you want to avoid that. You want to iterate towards perfection.

Marina Mogilko (3:46)

So do you think, because doers are becoming entrepreneurs, do you think people who are day-to-day working on some boring tasks are becoming the best position for the next three years to become entrepreneurs?

Anton Osika (3:58)

We're seeing from our customer data that most people on our platform, they have more than 11 years of professional experience.

And from that, they've come very close to a problem, that they've been frustrated that they can't solve with the skills that they had at the time. And now, the person who's closest to the problem, they can actually go out and solve that problem. And that's one of the biggest unlocks of these new technologies.

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