Elena Verna 4.0
Who would've thought that a head of growth, who is traditionally seen as data, metrics, spreadsheets, drive KPIs is like, "Okay, how do we make this more lovable, covering growth systems, product design, and pricing decisions.
Episode
Elena Verna 4.0
Summary
Elena Verna, head of growth at Lovable (which hit M ARR in under a year with 100 people), argues that in AI companies, product-market fit is no longer a milestone — it's a treadmill you run every three months, as both LLM capabilities and consumer expectations shift with each model release. She covers Lovable's unconventional growth strategy of giving the product away free to developers in hackathons, why the traditional scaling playbook no longer applies, and her concern that women are dangerously under-represented in the AI adoption wave.
Key Takeaways
In AI companies, treat product-market fit as a recurring sprint, not a destination: with new model releases every three months, you must continuously re-earn PMF rather than scaling a fixed version of it.
Giving your product away for free to hackathons and communities can be more cost-efficient than paid marketing when word-of-mouth is your primary growth loop.
Build on top of upcoming model capabilities before they release: make your bets and build features before the LLM catches up, because when it releases you need the functionality already available.
Be honest about whether you thrive in chaotic, fast-changing environments before joining an AI company — they are not for people who find their best work in structure and specialization.
AI-native new graduates have a structural advantage: they have no mental models of what's impossible. Hire them deliberately and create environments where senior leaders actually listen.
Notable Quotes
“So, I want to make sure that there's not that much value on what I have even added today, because this company is on the tear, and yes, we're rounding the edges and removing barriers for growth, so we're not standing in our own way, but there's something more magical happening here that is not a pattern that I've ever seen before. It's not a framework that I can even conceptualize in my head. And plus, it's a new category that I've never seen, or I've never been in a company that is in a new emerging category, that hits fast moving water so quickly. And that's the difference because when you're usually trying to create a new category, it takes years. I know it's every marketer's dream to create a new category, but it takes decades often to really get that much hype and adoption around it. Versus with vibe coating, this hype seemed to have happened really quickly.”
“We're really just putting a lot of oil into it, and figuring out what is our engine actually going to be that is going to take us forward. But when I'm thinking about the patterns here, and what I have to unlearn, I feel like only 30 to 40% of what I've learned in the last 15 to 20 years of being in growth transfers here. And some of it is very straightforward, okay, this is how you're going to do paid marketing, this is how you're going to do some of the habitual retention, here's the free to pay maybe monetization frameworks that still stand. But the rest of it, honestly, it doesn't feel like it even matters anymore, because we just need to invest in such bigger bets, and innovate, and create new growth loops here, as opposed to trying to optimize it to the moon and beyond, which I usually be focused on in a scaled business like this.”
“Or we also have so much competition. We're not alone here, so we can't ignore that there's everybody in their mother is starting a vibe coding business nowadays, and we need to figure out how to be ahead of them. And to be ahead of them is not optimization of the problem, it's reinvention of the solution. So, I just feel like I usually spend maybe 5%, maybe 10% if I'm lucky, innovating on growth in my roles, in my previous roles, right now, I'm spending 95% innovating on growth, and only 5% on optimization. And most of my frameworks are on optimization because it's really hard to come up with frameworks for innovation because by default there, by definition, they're innovative.”