AI is accelerating startup growth, allowing companies to generate meaningful recurring revenue in record time. But rapid traction does not always translate into sustainable success. To scale effectively, founders must prove that customer demand is repeatable.
At this year’s TechCrunch Disrupt, Lovable go-to-market lead Luke Arno, Polsia founder Ben Broca and Theory Ventures investor Tomasz Tunguz discussed how startups can navigate the critical first 90 days after launch.
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Fast Revenue Does Not Guarantee Sustainable Growth
As AI makes software easier to build and replicate, identifying product-market fit has become more challenging. Arno argued that early-stage companies should focus on understanding where their customers are and how to reach them consistently before investing heavily in sales and marketing.
“The most critical thing for founders or earlier-stage companies to do is develop learning density or pattern recognition for where your customers are,” Arno said. “Don’t rush to build out a top-down go-to-market motion if you’re not there yet.”
Early revenue may demonstrate interest, but it does not necessarily prove that a business has found a reliable path to growth.
Repeatability Is The Real Test Of Product-Market Fit
Before expanding sales teams or increasing investment, startups need to show that they can attract customers through a consistent process that delivers similar results.
“If I bring on 10 new customers in 10 different ways to solve 10 different problems, sure, I brought revenue in, but I don’t have a way to go scale a go-to-market,” Arno said. “If I bring three customers in with a similar motion to solve a similar problem, now I have high confidence that I can go scale.”
AI app-building startup Lovable illustrates the potential scale of the opportunity. The company is valued at more than $13 billion, reports annualised revenue exceeding $600 million and has raised more than $700 million.
However, rapid growth remains difficult to replicate. Founders must understand not only how to attract customers, but also why they continue using a product once the initial excitement fades.
Speed Must Be Matched By Discipline
Tunguz said expectations around execution speed have risen sharply.
“The expectations for overall execution speed are absolutely tremendous,” he said.
The availability of capital has also changed the startup landscape. Since Tunguz began investing in 2008, funding rounds have expanded in scale, with seed-stage financing now ranging from modest early investments to raises of $500 million.
Greater access to capital brings higher expectations for speed, ambition and early traction. But scaling before establishing a clear customer acquisition model can create costly problems.
Staying Close To Customers Remains Essential
Broca argued that founders should maintain direct relationships with their markets rather than relying solely on growth metrics. Community building, email, events and direct outreach can help businesses understand customer needs and refine their products.
“The general rule is always to be talking to customers,” he said.
As AI reduces the time required to build and launch products, customer understanding becomes an even more important competitive advantage. Startups that combine speed with disciplined execution and a repeatable approach to customer acquisition are better positioned to turn early momentum into lasting growth.
