Lenny's Podcast: Product | Career | Growth

Episode: Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder)

Date: March 9, 2025
Host: Lenny Rachitsky
Guest: Anton Osika, CEO & co-founder of Lovable

Episode Overview

This episode features an in-depth conversation with Anton Osika, CEO and co-founder of Lovable—an AI-powered platform that enables anyone to build full-fledged software products from a simple text prompt. In just under three months, Lovable reached unprecedented growth, hitting $10 million ARR with a team of only 15 people.

Lenny and Anton discuss Lovable’s origins, its groundbreaking AI engineering capabilities, key lessons about building product teams in the new AI era, tips for mastering AI product development, and what skills will matter most as software creation becomes increasingly democratized.

Key Topics and Insights

1. What is Lovable? (06:00)

• Lovable as an AI Engineer:
  Anton describes Lovable as a "personal AI software engineer" that turns a simple English prompt into a fully functioning product.
  "We’re building for this 99% of the population who don’t write code... Over time, naturally, the way to build software is by just talking to an AI.” – Anton (06:57)
• Mission:
  Empower non-coders and entrepreneurs to bring their ideas to life without finding engineers.

2. Business Growth and Scale (07:42, 21:57)

• Staggering Growth Numbers:
  • 4 million ARR in 4 weeks
  • 10 million ARR in 2 months
  • 300,000 MAU, 30,000 paying users, all with 15–18 people
• Fastest Growing Startup in Europe:
  “You're the fastest growing startup in all of Europe.” – Lenny (08:08)
• Product-Led Growth:
  Growth driven almost entirely by organic, word-of-mouth sharing.

3. Live Demo: Building an Airbnb Clone (10:04–17:34)

• Ease of Use:
  • With a two-word prompt ("Airbnb clone"), Lovable scaffolds an interactive website in 30 seconds (11:32).
  • Built-in UI, visual editing, instant backend integrations via Supabase and Cloudflare.
  • Can iterate on features just by asking (e.g., adding a "Buy Now" button to listings) and visually editing the generated UI.
• Notable Quote:
  "No other tool lets you generate code from an AI engineer and then actually just change a small element of it [visually]." – Lenny (15:35)

4. Mastering AI-Powered Product Development (19:05)

• Tips for Users:
  • Be clear and specific about what you want; patience and curiosity are crucial.
  • Use "chat mode" to debug and learn; don’t just say, “it doesn’t work”—explain what you expect (19:20).
  • “It takes a lot to master using tools like Lovable and being very curious and patient.” – Anton (19:20)
• Product Management Parallel:
  Clear communication and understanding user needs are even more critical with AI-powered tools (14:05).

5. Lovable’s Origin Story (22:14)

• Started with Open Source:
  Anton built GPT Engineer, the precursor to Lovable, as an open-source project to showcase LLMs’ coding abilities.
  • GPT Engineer became, “the most popular open source tool to showcase the ability for large language models to create applications... like 50,000 GitHub stars.” – Anton (22:14)
• Transition:
  Lovable aimed from the start to empower non-engineers and was built with rapid, user-driven iteration.

6. Technical Innovations & Scaling Laws (26:43)

• Getting “Unstuck”:
  • Lovable’s team focused on identifying where the AI got stuck (bugs, feature implementation ceilings) and solved these systematically.
  • “There are many scaling laws... this one in particular is about when you put in more work, the product reliably gets better and better.” – Anton (27:08)
• Reliability as Differentiator:
  Lovable is ranked as the most reliable platform for end-to-end software building using AI.

7. Team Structure and Hiring (41:17)

• Lean, High-Talent Team:
  • Grew from 15 to 18 people; 12 are active engineers.
  • Looks for deep care for the product, user, and team collaboration.
  • "You want people who can ship really fast and have good taste for what is simple, what's the right abstractions." – Anton (31:43)
• Work Simulation & Obsession:
  • Candidates often do 1-day to 1-week work simulations.
  • Anton favors "raw cognitive capabilities" and a startup mindset.
  • Job post excerpt: “Long hours, high pace… Honor and recognition in case of success. Those seeking comfortable work need not apply.” (45:44)

8. Building Product Teams in the AI Era (55:12)

• Generalists Over Specialists:
  • Modern teams need people who can do "a bit of everything": product, design, architecture, user research (40:44).
  • “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 (40:44)
• Taste, Discovery, and Iteration Trump Coding:
  • "The bottleneck for most products now is not engineering... but having good taste, good intuition about your users." – Anton (55:17)

9. How to Excel with AI Tools (66:19)

• How to Enter the Top 1%:
  • “If you spend a full week on trying to reach an outcome... you're in the top 1% in the global population.” – Anton (66:19)
  • Surround yourself with others obsessed with AI tools to accelerate mastery.

10. Roadmap, Prioritization, and Culture (48:21, 53:40)

• Prioritization & Planning:
  • Focus is on identifying and doggedly tackling the biggest bottleneck, iterating quickly, and being engineering-led.
  • Weekly planning, bug-polish weeks, and flexible roadmaps.
• Culture:
  • Work in-office, frequent interaction, sharing meals together accelerates knowledge and collaboration.
  • “Lunch, like eating lunch together, is a pretty productive hour where you’re cross-pollinating.” – Anton (53:40)

Competitive Landscape (34:49)

• How Lovable Stands Out:
  • Designed explicitly for non-technical users.
  • Live, visual editing post-generation (no other tool offers this fluidity).
  • Seamless team collaboration and GitHub integration for hybrid workflows.
  • “Not getting stuck is I think the most important thing for people... we're still, from the people I talk to, ranked as the one that works most reliably.” – Anton (35:54)

Vision for Lovable and the Future of Software (36:24, 38:14)

• The Last Piece of Software:
  "We’re building the last piece of software.” – Anton (07:29)
  • Goal: Instantly generate, iterate, and integrate new software—eventually automating analysis and optimization (analytics, A/B tests) and going beyond raw engineering to product/market fit and even growth support (59:42).
  • Democratizing entrepreneurship by unlocking technical barriers for billions.

Notable Quotes & Memorable Moments

• “We have discovered oil which are the foundation models... and then what we’ve done is obsessed about... the interface for the human to get as much out of this as possible.” – Anton (30:24)
• “[With Lovable] you can ask an app to build you a whole website and that cost probably like a few pennies...versus it would have been tens of thousands and weeks.” – Lenny (18:07)
• “One of the bigger bottlenecks now, they’re not integrated into the current way you have your existing products... But being in the top 10% in using [tools like these] is going to absolutely set you apart.” – Anton (18:23)
• “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 (40:44)
• “Generalists are much more important than they used to be.” – Anton (40:44)
• "It takes a lot to master using tools like Lovable and being very curious and patient." – Anton (19:20)
• "If you spend a full week... you're in the top 1% in the global population." – Anton (66:19)
• “Most people haven’t thought that going on an extremely ambitious mission is what I want to do. So figuring out who those are is a big part of it.” – Anton (47:48)
• "There's going to be a Cambrian explosion of entrepreneurship." – Anton (57:27)

Important Timestamps

| Topic | Timestamp | |-------------------------------------------------|-----------------| | Introduction to Lovable & Product (Anton) | 06:00 | | Stats: Revenue, Team Size | 07:42, 21:57 | | Live Demo Starts | 10:04 | | Live Demo: Editing UI, Backend Integration | 13:02–17:34 | | Tips for Using Lovable | 19:05 | | Naming & Philosophy | 21:06 | | Origin Story: GPT Engineer | 22:14 | | Unlocks on Scaling Laws | 26:43 | | Team & Hiring Philosophy | 41:17 | | Work Simulation in Hiring | 43:32 | | Team Diversity & Generalist Mindset | 40:44 | | Product Roadmap & Planning | 48:21, 53:40 | | Vision for AI, Product, and Job Skills | 38:14–40:44 | | Learning AI Tools – Mastery Advice | 66:19 | | Lovable’s Future and Support for Founders | 59:42 | | Failure Corner & Product Lessons | 61:28 |

Takeaways for Listeners

• Get Hands-On: Start using AI-powered product builders now. Patience, specificity, and curiosity are key to mastery.
• Broaden Your Skills: In the AI era, being a generalist with product intuition, user empathy, and technical fluency is more valuable than ever.
• Rethink Team Structure: Hire for ambition, deep care, and cross-domain strengths, not just technical prowess.
• Stay Ahead: Embrace rapid iteration, close user feedback loops, and flexibility over rigid planning.
• Be Ambitious: The barriers to entrepreneurship have never been lower; now is the time for bold thinking.

Connect with Lovable & Anton

• Lovable on Twitter: @Lovable_dev
• Anton Osika on Twitter: @antonosika
• Feedback & Feature Requests: feedback.lovable.dev
• Discord: Join from the Lovable website for community support.

Final Words

“Have fun in all of this change. The best thing you can do for your current profession or if you want to have a new job, is to be in the top 1% in knowing how to use the AI tools…Go out there, use Lovable, use other AI tools, and…try to understand as much as possible in how to use them productively.”
— Anton (65:28)