AI startups are finding it harder to achieve lasting product-market fit, as rapid revenue growth does not always translate into long-term customer retention. Investors and founders speaking at TechCrunch Disrupt 2026 said companies must look beyond revenue figures and customer trials to determine whether their products have sustainable demand.
Anu Bharadwaj, a partner at Iconiq; Rajeev Dham, a partner at Sapphire Ventures; and Rahul Vohra, founder of Superhuman Mail, discussed the challenges of measuring product-market fit as AI products become easier to replicate.
Revenue Growth Does Not Guarantee Customer Retention
Bharadwaj said startups can secure pilot customers more easily because businesses are increasingly willing to test AI products. However, converting those trials into long-term commercial deployments remains difficult.
She also raised concerns about how founders report revenue, particularly when they fail to distinguish annual recurring revenue (ARR) from annualized run rate. Some startups include short-term pilot payments in annualized figures, creating the impression that revenue will continue throughout the year.
Bharadwaj urged founders to be transparent about revenue quality, noting that heavy dependence on a few customers or the ease of switching to cheaper competitors could indicate retention risks. Both factors can affect customer churn and long-term revenue stability.
Customer Engagement as a Measure of Product-Market Fit
Vohra recommended tracking engagement and dollar retention alongside revenue, particularly for consumer products. At Superhuman, the company developed an internal metric called “delighted ARR,” which measured recurring revenue from highly engaged customers.
The metric helped Superhuman identify customers who were likely to remain with the product. Vohra said the company concentrated on serving those users, many of whom remain customers today.
He also advised founders to ask customers how they would feel if they could no longer use the product, an approach he previously described in Superhuman’s product-market fit methodology.
Startups receiving responses of 13% to 15% or fewer indicating strong customer dependence should consider a complete pivot, according to Vohra. Those reaching 20% may be able to improve their results toward 40% through product optimization.
Founders Must Continue Adapting Their Products
Dham cautioned founders against confusing a strong product vision with a viable business. He also said he increasingly values founders who have made multiple pivots because those experiences demonstrate their ability to make difficult decisions.
Bharadwaj said product-market fit is not necessarily a requirement for seed-stage startups. Instead, she looks for founders with plausible business ideas and the flexibility to respond to changing conditions.
Dham added that companies must continuously reassess their product-market fit, regardless of their size or revenue.
“Even at a billion in revenue, these companies are re-earning their product-market fit,” he said. “You constantly have to be innovating on products.”
Featured image credits: Magnific.com
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