In the AI era, startups can attract revenue quickly--but early sales alone do not prove a business is ready to scale. Startup leaders say the first 90 days after launch are better spent learning who the customers are and which needs the product reliably meets.
Luke Arno, go-to-market lead at Lovable, argues that founders should look for a repeatable way to reach customers before building a larger sales operation. If each new customer requires a different approach or solves a different problem, the company may have revenue without a scalable sales model. A group of customers adopting the product through a similar process is a stronger signal.
Learn before scaling
Ben Broca of AI platform Polsia highlighted the challenge of finding product-market fit when competing products can be copied quickly. He recommends staying close to customers through regular conversations and community-building efforts. That feedback can help founders identify which use cases have lasting value.
Investor Tomasz Tunguz noted that expectations for startup execution have risen, while rapid growth stories such as Lovable's remain unusual. The priority, the speakers suggested, is not simply moving fast, but understanding what will keep customers engaged after initial excitement fades.
As AI makes it easier to launch products, durable growth may depend increasingly on turning customer insight into a repeatable way to create value.
