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Anton Osika: How Lovable scaled to 10M ARR with 15 people

Through clear, specific prompts and relentless reliability work; Lovable grew to 10M ARR mostly from people sharing demos, not from paid acquisition.

Anton OsikaguestLenny Rachitskyhost
Mar 9, 20251h 9mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

AI engineer Lovable rockets to $10M ARR with 15 people

  1. Lenny interviews Anton Osika, CEO and co-founder of Lovable, an AI software engineer that turns natural-language prompts into fully working web products in minutes.
  2. Lovable has grown explosively since launch, surpassing $10M ARR in two months with just 15–18 people and ~300K MAUs, largely through organic word of mouth and social media demos.
  3. Anton explains how Lovable works (including a live Airbnb-clone demo), their technical breakthroughs to reduce AI “getting stuck,” and why product taste, generalist skills, and AI fluency will matter more than raw coding in the future.
  4. They also dig into how Lovable hires, how to structure future product teams around AI tools, and why being in the top 1% of AI users will be a huge career advantage.

IDEAS WORTH REMEMBERING

5 ideas

AI will handle more of the building; humans must excel at deciding what to build.

As tools like Lovable make it trivial to generate production-ready software, the scarce skills shift toward product discovery, understanding user pain, taste, and knowing when a solution is actually good enough to ship.

Clear, specific communication is now a core “AI-era” product skill.

Lovable works best when users describe exactly what they want, what is and isn’t working, and how it should behave—vague prompts like “it doesn’t work” lead to poor outcomes, making precise specification a superpower.

To use AI tools well, treat learning them like a serious project.

Anton suggests spending at least a full week taking a real problem from idea to working solution using AI (and asking the AI questions as you go); doing this puts you in roughly the top 1% of AI users globally.

Generalists with deep spikes in one area are increasingly valuable.

In future product teams, the most valuable people will understand architecture, design, product, talking to users, and business context, while having an exceptional superpower in at least one dimension (e.g., AI systems).

Hypergrowth came from obsessing over product quality, not marketing tricks.

Lovable’s growth to $10M+ ARR with a tiny team came mostly from people loving the product, sharing demos on social media, and a relentless focus on reliability, not from paid acquisition or elaborate growth hacks.

WORDS WORTH SAVING

5 quotes

We’re building the last piece of software.

— Anton Osika

People love the product. That’s the driver of the growth.

— Anton Osika

Being in the top 1% in using AI tools is going to absolutely set you apart in the coming months and years.

— Anton Osika

If I’m putting together a product team today, I would really obsess about getting as many skill sets as possible for each person I hire.

— Anton Osika

You should see this as fun. The world is changing quickly, and the best thing you can do is get your hands very dirty with these tools.

— Anton Osika

What Lovable is and how it works as an AI software engineerLovable’s hypergrowth metrics, business trajectory, and technical unlocksLive demo: building and iterating on an Airbnb-style app in minutesBest practices for using AI tools effectively (prompting, curiosity, patience)How AI is changing product development, team composition, and required skillsLovable’s hiring philosophy, culture, and ways of workingFuture vision: the “last piece of software” and supporting new founders

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