For growth and marketing leaders whose CEO keeps forwarding Lovable's numbers and asking why your team isn't doing the same.
If you lead growth at a company that is not Lovable, you have probably been sent its numbers more than once this year. In December 2025, Lovable's Head of Growth, Elena Verna, appeared on Lenny's Podcast to explain how the Stockholm company reached $200 million in annual recurring revenue (ARR) about a year after launch. Since then, the numbers have kept climbing. Lovable told TechCrunch it crossed $300 million ARR in January and $400 million in February with just 146 full-time employees, about $2.77 million of ARR per person. By June it passed $500 million, and in August it raised $400 million at a $13.3 billion valuation.
Those figures make for an exciting slide. They also invite a fair question from any leadership team: which parts of this playbook would actually work for us? Verna's own answer is that most of the traditional growth playbook no longer applies in fast-moving AI categories. She estimates that only 30% to 40% of what she learned over 15 years still transfers.
This post breaks down the five rules behind Lovable's approach, what each one requires, and what it costs. Some will transfer to most companies. Some depend on conditions most companies do not have.
Camino5 / Lovable's Growth Playbook
Five rules from Lovable. Which ones transfer to you?
1. Reinvent more than you optimize
Needs a category changing fast and a growth team that builds product.
2. Ship loudly, and let search carry it
Public launches create the mentions search and AI tools read later.
3. Spend on product access, not just ads
Needs a product that impresses in minutes and money to absorb the cost.
4. Raise the bar from viable to lovable
Needs a shared, specific definition of what "lovable" means.
5. Plan for product-market fit to expire
In fast AI categories, fit is something you keep re-earning.
One rule, 3–5 tests
Prove it works for you before reorganizing around it.
Handoff test
Can someone new run the next one from a one-page brief?
Rules drawn from Elena Verna on Lenny's Podcast, December 18, 2025. Transfer verdicts and test thresholds are Camino5's assessment, not Lovable's.
Rule 1: Reinvent more than you optimize
Lovable's growth team spends most of its time building new things, not tuning old ones.
Verna described a complete flip in how she spends her time. In earlier growth roles at companies such as Miro, Dropbox, and Amplitude, roughly 95% of the work went to optimizing existing funnels and 5% to new ideas. At Lovable, she says the split is reversed: 95% innovation, 5% optimization. Her growth team ships core product features, not just landing page tests, because in a market where the technology changes every few months, small improvements to today's user journey can be obsolete before they pay off.
What it requires. A category where the product itself is changing fast, and a growth team with the skills and permission to build product, not only to test copy and onboarding.
What it costs. Less predictability. Optimization produces steady, measurable gains. Reinvention produces bigger swings, in both directions.
Does it transfer? Partly. If your category is being reshaped by AI, spending more of your growth effort on new value, rather than on squeezing conversion from an existing flow, is likely sound. If your category is stable, optimization still earns its place. The honest move is to look at how fast your customers' expectations are actually changing before you change the ratio.
Rule 2: Ship loudly, and let search carry what you ship
Building in public creates attention. Search and AI visibility make that attention last.
A big part of Lovable's growth comes from building in public: founders and employees posting about new features on X and LinkedIn, often daily. Verna has described this constant visible shipping as a way to make the product feel alive and to bring lapsed users back, because people check their feeds to see what Lovable has released. She has also said that for Lovable, organic growth now comes from this kind of social distribution far more than from traditional search engine optimization.
This is the one rule where we would add something rather than simply adopt it. For a company with Lovable's momentum, social distribution is clearly working. For most companies, the two are not alternatives. Every launch post, founder thread, and customer demo creates material that other people write about, link to, and discuss, and that third-party coverage is what search engines and AI tools draw on when someone later asks about your category. McKinsey's State of the Consumer 2026 report found that only 1% of the sources AI tools cite for consumer goods questions are brand-owned websites; the rest come from publishers, reviews, forums, and other outside voices. Building in public is one of the best ways to create those outside voices. Camino5's Connected SEO approach treats them as one system for exactly that reason.
What it requires. Something worth showing, frequently, and people inside the company willing to show it.
What it costs. Founder and team time, and a tolerance for showing unfinished work.
Does it transfer? Yes, for most companies, as long as you also make sure what you ship can be found later by people who were not following along that week.
Rule 3: Spend on product access, not just on ads
Lovable gives its product away generously because usage is its best marketing.
Lovable gives away free credits for hackathons, events, and exploration, and Verna has described giving the product away as more effective for growth than paid ads. The logic is straightforward. In a new category, people often do not know what the product can do until they try it, and a user who hosts a hackathon at their company is doing the marketing for you. Verna put it plainly on the podcast: if someone wants to run an event and asks for credits, the team asks how much they need.
What it requires. A product that impresses people within minutes, and the money to absorb the cost. AI products are expensive to run, and Lovable has raised hundreds of millions of dollars, which gives it room most companies do not have.
What it costs. Real compute and support costs, with no guarantee that free users convert.
Does it transfer? The principle does: moving some budget from renting attention through ads to earning it through product access often pays off. The scale usually does not. Most companies should start with targeted generosity, such as free access for communities, events, or partners whose members match your best customers, and measure conversion before expanding.
Rule 4: Raise the bar from viable to lovable
When core functionality becomes table stakes, the experience is the differentiator.
Verna argues that the minimum viable product, the smallest version that works, is no longer enough in a crowded AI market where many tools can do similar things. Lovable's standard is a minimum lovable product: an experience good enough that people want to tell others about it. In her words, viability is "left back in the 2010s." She has said the term is so built into the culture that calling something "not lovable" is the fastest way to get it fixed.
What it requires. A shared, specific definition of what "lovable" means for your product, so it is a standard and not just a slogan.
What it costs. More time before launch, and more willingness to delay something that technically works but does not yet delight.
Does it transfer? Yes, broadly. The research we cited in "Empathy Is the New Algorithm" points the same way: trust and experience increasingly decide purchases when features look alike.
Copying Lovable's pace without Lovable's product just gets you more noise, faster.
Rule 5: Plan for product-market fit to expire
In fast-moving AI categories, fit is something you keep earning.
Verna has written about what she calls the product-market fit treadmill: in AI categories, a company may need to re-earn product-market fit every few months, because both the underlying models and customer expectations change quickly. A feature that felt remarkable in spring can feel standard by summer. We covered this idea in depth in "Why Your Product-Market Fit Now Has a 90-Day Expiration Date," so we will keep it brief here. The practical takeaway is that the team that finds fit increasingly has to be the team that scales it, because there is no long stable period in which to hand the product off.
The numbers behind the story
Lovable’s growth
Lovable went from $200 million to $400 million in annual recurring revenue in about three months. It did it with 146 people.
Elena Verna, its head of growth, says only 30% to 40% of what she learned growing earlier companies still applies.
| Milestone | Figure | Source |
|---|---|---|
| Annual recurring revenue | ||
| ARR when Verna discussed the playbook on Lenny’s Podcast | $200 million | Lenny’s Podcast, December 18, 2025; Bloomberg, November 2025 |
| ARR in February 2026 | $400 million | TechCrunch, March 11, 2026 |
| ARR in June 2026 | $500 million | TechCrunch, June 2026 |
| Efficiency | ||
| Full-time employees when ARR passed $400 million | 146 | TechCrunch, March 11, 2026 |
| ARR per employee at that point | ~$2.74 million | Calculated from TechCrunch, March 11, 2026 |
| Gartner’s benchmark for a new wave of unicorns by 2030, in ARR per employee | $2 million | Gartner, as cited by TechCrunch |
| Funding | ||
| Series C round, at a $13.3 billion valuation | $400 million | TechCrunch, August 12, 2026 |
| The playbook | ||
| Share of Verna’s past growth experience she says still applies | 30–40% | Lenny’s Podcast, December 2025 |
ARR figures are company-reported and unaudited. Lovable has hired since February 2026, so the per-employee figure describes that point only.
ARR figures are company-reported and unaudited. Lovable is an exceptional case, and its results should be read as an outlier, not a benchmark.
The ledger: what you gain and what you give up
Before adopting any of these rules, be clear about the tradeoff.
What you gain from Lovable's approach is speed, attention, and a product that people talk about. What you give up is predictability, some margin, and the comfort of a well-tuned funnel. What makes it work at Lovable is a combination most companies do not share: a product that impresses people in minutes, a category changing every quarter, and enough capital to give the product away while it grows. The rules transfer best where those conditions are partly true, and least where they are not.
Four failure modes to watch for
Each one comes from copying the visible part of the playbook without the foundation.
The first is shipping without substance: posting constantly about small changes, which builds noise instead of momentum. The second is generosity without a path to paid: giving away product with no plan for who should convert, or when. The third is abandoning search because a fast-growing AI company said it did not need it, which can leave a company invisible once the social buzz moves on. The fourth is confusing pace with progress: running more experiments without checking whether any of them changed what customers value.
Test small, then scale
Prove a rule works for you before reorganizing around it.
Pick one rule, not five. Run three to five small experiments against it over a quarter, such as a weekly public product update, a free-access program for one partner community, or a "lovable" review before one launch, and measure the result against what you would normally do. If it works, expand it to the next 75 decisions. If it does not, you have learned something useful at low cost.
Then run the handoff test. Write down how your team runs the experiment on one page and give it to someone who was not involved. If they can run the next one without help, the practice is ready to scale. If they cannot, it still depends on one person's instincts.
What this likely means over the next 6 to 18 months
Expect more companies to try this playbook, and the ones with real product momentum to benefit most.
If AI keeps compressing the time it takes to build software, more companies are likely to compete the way Lovable does: shipping visibly, giving product away, and re-earning fit often. That would make it harder to stand out through volume alone. The companies most likely to benefit are the ones that pair fast, visible shipping with a product people genuinely love and with a presence in the places buyers research later, including search results and AI answers. As more teams ship loudly, being easy to find after the moment passes may become a stronger advantage, not a weaker one.
If you want to see whether AI tools can find and describe your company today, Camino5's AEO Invisibility Score is a good place to start.
How to start today
Ask your team how its time is split between optimizing existing flows and building new value. Write the ratio down, and decide whether it matches how fast your category is actually changing.
Choose one product update this month and share it publicly, from a founder or team member rather than the brand account. Track whether it produces replies, shares, or mentions from people outside the company.
Identify one community, partner, or event whose members look like your best customers, and offer them free or extended access. Set a clear goal for conversion before you start.
Write a one-sentence definition of what "lovable" means for your product, and use it as a review question before your next launch.
Search for your company and your category in Google and in two AI assistants, and check whether your recent launches show up. If they do not, your shipping is creating attention that is not lasting.
Lovable's lesson is not that every company should grow like Lovable; it is that in a market that keeps changing, the teams that win are the ones built to keep reinventing what they offer, and to make sure people can still find it when the noise moves on.