In a recent LinkedIn post, Lenny Rachitsky shares key takeaways from a discussion with Elena Verna, Head of Growth at Lovable, highlighting the dramatic shifts in product strategy and growth playbooks necessitated by the rapid advancement of artificial intelligence. Rachitsky emphasizes that the traditional model of achieving product-market fit and then scaling for years is no longer viable in the fast-paced AI landscape.
The Accelerating Cycle of Product-Market Fit in AI
Rachitsky relays Verna’s observation that companies in the AI space must now achieve product-market fit on a quarterly basis. The underlying technology and customer expectations evolve so quickly that continuous re-validation is essential, even for companies with substantial revenue.
“In AI, you now need to find product-market fit every three months. Product-market fit used to mean: build something people want, then scale it for years. In AI, the underlying technology changes so fast—and customer expectations with it—that you’re constantly re-earning that fit. Even at $200M ARR.”
This dynamic fundamentally alters the growth playbook for AI companies. As Rachitsky points out, Verna, with extensive experience at companies like Miro, Dropbox, and Amplitude, finds that a significant portion of her previous growth strategies are now obsolete in the context of AI development.
Shifting Growth Levers: Features Over Funnel Optimization
A core theme emerging from Verna’s insights, as presented by Rachitsky, is the diminishing impact of traditional funnel optimization for AI products. Instead, growth is predominantly driven by the continuous launch of new features and products.
Rachitsky quotes Verna stating that at Lovable, optimization accounts for only 5% of growth, with the remaining 95% stemming from new feature and product introductions. This underscores the need for agility and innovation over incremental improvements.
“At Lovable, growth is driven mostly through new features, not optimizing funnels. At the fastest-growing company in history, optimization drives about 5% of their growth. The other 95% comes from launching new features and products. Small tweaks don’t move the needle when everything is changing.”
The Power of Constant Deployment and Community
The strategy at Lovable, according to Rachitsky’s summary of Verna’s points, involves shipping features rapidly to maintain a sense of product vitality. This includes engineers announcing their own updates and founders sharing daily progress, a tactic designed to keep users engaged and competitors on their toes.
Furthermore, Verna highlights the critical role of community and customer experience. Rachitsky relays her perspective that the minimum viable product (MVP) is obsolete, replaced by the “minimum lovable product” (MLP). Delightful user experiences are paramount for driving word-of-mouth growth, which is amplified by robust community efforts like Lovable’s Discord server.
“Minimum viable product’ is dead. Elena describes the new minimum bar as ‘minimum lovable product.’ If the experience doesn’t delight people, they won’t tell anyone. And word of mouth is your primary engine.”
Rachitsky also notes Verna’s emphasis on unconventional marketing approaches, such as giving the product away freely through initiatives like sponsoring hackathons and offering free credits, viewing this as a potent marketing investment that yields compounding word-of-mouth referrals.
Hiring for Adaptability in a Chaotic Environment
The insights shared by Rachitsky also touch upon human capital. Verna advocates for hiring individuals who can navigate ambiguity and drive clarity in fast-moving AI environments. This includes seeking out high-agency individuals, such as new graduates with AI fluency or former founders, who can operate effectively without extensive direction.
Finally, Rachitsky includes Verna’s perspective on work-life balance, illustrating that high-growth environments do not necessitate burnout. Verna’s own structured approach to her day, protecting personal time, serves as an example that boundaries can be set even in demanding roles.
📝 About This Content
This article is based on insights shared by Lenny Rachitsky on LinkedIn.
📅 Originally posted on December 19, 2025 | View original post on LinkedIn →