Elena Verna says Lovable hit $200m in ARR in roughly a year with about 100 people, and founders should not treat it as a benchmark because it is an outlier in a new category.
Verna says only 30 to 40 percent of her fifteen to twenty years of growth playbook transfers, and product market fit must now be recaptured about every three months as model providers ship step changes.
Lovable gives its product away and spends little on paid ads or sales, a cheaper form of product-led growth that Verna frames against AI companies' typical margin of around 40 percent.
Lovable's Growth Chief on Rewriting the Playbook for AI Products
Lovable's growth shows that AI products are rewriting the growth playbook. Distribution comes from shipping constantly, giving the product away and building in public, while growth work moves into the product team. Because model step changes arrive about every three months, product market fit has to be won again each quarter.
Takeaways
Lovable hit $200M ARR in about a year. With about 100 people and over 8m people having tried the product, it reached $100M ARR at the end of July and added the next $100M about four months later. Elena says founders should not use it as a benchmark.
Only 30 to 40 percent of old growth transfers. After fifteen to twenty years in growth, Elena now spends about 95 percent of her time innovating rather than optimizing. Levers include building in public, founder and employee socials, and shipping several times a day to keep noise in the market.
Growth now lives inside the core product. Activation sits with the core product team, which builds better agents, and improving the agent lifts the whole lifecycle at once. Product engineers announce what they ship, and brand work happens in product interactions because Lovable has no brand team.
Giving the product away is cheaper growth. AI companies sit near a 40 percent margin, but Lovable's headcount costs are minimal and it spends little on ads or sales. Giveaways work as cheaper product-led growth. Venture money funds future development, not survival.
Organic now means social, not SEO. Influencer marketing is ten times bigger than paid social for Lovable, though not the majority of its growth. X and LinkedIn are strong sources of founder and employee social content, especially for B2B.
Product market fit must be recaptured quarterly. Model providers ship a step change roughly every three months, and consumer expectations move as fast. Elena worries AI companies focus so hard on pioneer users that they alienate the latent majority and make AI seem only for techies.
Retention is solid and usage is the priority. Paid retention matches other B2B SaaS products Elena has worked on, and net dollar retention is quite good because users buy more credits. Lovable optimizes for getting more people in the door, with usage as North Star.
How Lovable hires
It hires for passion, high agency and autonomy.
Designers should be among a startup's first hires, because software must now feel human.
Candidates do paid work trials of a couple of days so the team can see them in action.
Elena advises hiring new graduates who are AI native, and ex-founders.
Tap a name to go there · tap a line to see why they are linked
On this episode 2
Show 1
Women in AI
Reports show a large gap in AI adoption between women and men, and most AI company CEOs and workforces are men.
From third-party autofill data, Elena estimates women are at most about 20 percent of Lovable.
Lovable runs the women-only She Builds hackathon, and the next cohort starts December 15.