Elena Verna, Head of Growth at Lovable, shares the company's unprecedented success in achieving $200M ARR in less than a year, attributing it to a radical departure from traditional growth playbooks in the AI era. She highlights that AI companies must prioritize innovation (95% of growth efforts) over optimization (5%), adapting to rapid market and technological shifts. Key strategies include 'building in public' paired with employee/founder social media, extensive free product giveaways to lower entry barriers, and extremely fast feature releases. The growth team at Lovable even delves into core product features, such as AI Agent workflows, blurring traditional lines. The article also emphasizes recruiting passionate, highly-agency, and autonomous individuals crucial for navigating the chaotic startup environment. Verna introduces the concept of a 'Minimum Lovable Product' (MLP) over a Minimum Viable Product (MVP) and underscores that Product-Market Fit (PMF) in AI is not a 'one-and-done' achievement, requiring re-validation every three months. Social media and influencer marketing are critical for brand building and driving word-of-mouth. Finally, the discussion touches on the importance of community, the challenges and benefits of joining an AI company, and concerns about women's adoption of AI.