A panel at TechCrunch Disrupt this year delivered a counterintuitive dose of startup growth advice: the path to scale is paved less by early revenue than by the ability to repeat the same customer acquisition motion over and over. The discussion, aimed at the first 90 days after a commercial launch, featured Luke Arno, go-to-market lead at Lovable; Ben Broca of Polsia; and Tomasz Tunguz of Theory Ventures.
The Product-Market Fit Puzzle
Broca opened the conversation with a blunt assessment of the current landscape. Product-market fit, he said, is one of the hardest things to find right now. The reason is simple and brutal: products are easily copied by competitors, which means a clever feature or a novel interface offers only a fleeting advantage.
His own company reflects a new operating model. Polsia, an AI agent business platform, runs with almost no human staff. Broca is its only employee. That lean setup underscores how AI agents are reshaping what it takes to build and run a company, even as the competitive pressure intensifies.
Repeatability as the Real Signal
Arno picked up the thread with a definition that cut through the noise. Durable go-to-market strategies, he argued, are repeatable. Founders should focus on developing what he called learning density about their customers—a deep, accumulated understanding of who they are, where they are, and how they buy.
That understanding matters more than any single early win. Arno cautioned against rushing into a top-down go-to-market motion before the groundwork is in place. Early fast revenue, he noted, does not mean a startup is ready to scale.
His test for scale readiness is deceptively straightforward. A startup is ready to scale once it has repeated a successful customer acquisition motion. If every sale requires a new tactic, product-market fit is absent. Arno offered a concrete comparison: ten customers won through ten different methods is a sign of non-scalability. Three customers won through a similar motion, by contrast, provides scalable confidence.
Lovable's Headline Numbers
The context for the panel’s urgency is impossible to ignore. Lovable, the AI app-building startup where Arno works, has been valued above $13 billion by investors. Its annual recurring revenue reportedly passed $600 million, and it has raised over $700 million in funding. Those figures have set a benchmark that many founders now feel pressure to match.
Tunguz, who began investing in 2008, put that pressure in perspective. Execution speed expectations are tremendous, he said. But Lovable-like growth is exceptional, not the norm. Founders should still move fast, he added, while recognizing that the outliers are just that.
The capital environment has changed dramatically since Tunguz started investing. More money flows through the startup ecosystem at every stage than in 2008. Seed deals can range from $5 million to $500 million, a spread that illustrates both the abundance of capital and the wide variance in what founders are expected to do with it.
Winners Retain Customers After the Hype
Amid the talk of speed and capital, Tunguz returned to a fundamental point: winners focus on understanding customers to retain them after the hype fades. Growth that arrives in a burst can disappear just as quickly if the underlying relationship with customers is thin.
Broca echoed that emphasis on closeness. Community building and direct customer contact are important, he said. He recommended using email, events, and direct customer conversations to stay connected. His general rule is simple: always talk to customers.
For founders navigating the first 90 days after launch, the panel’s message was clear. Fast revenue can be misleading. Repeatable acquisition is the signal that matters. And the companies that last are the ones that know their customers well enough to keep them.
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