Finding Real Product-Market Fit in the Age of AI: What VCs and Founders Actually Look For

Identifying genuine product-market fit has grown increasingly difficult in today's AI-driven startup landscape. While companies are scaling faster than ever before, customer loyalty remains inconsistent, and competitive advantages erode quickly as products become easier to copy.

At TechCrunch Disrupt last week, three industry veterans tackled the evolving definition of product-market fit: Anu Bharadwaj, partner at Iconiq; Rajeev Dham, partner at Sapphire Ventures; and Rahul Vohra, founder of Superhuman Mail.

The Pilot-to-Production Problem

Bharadwaj highlighted a critical bottleneck in the sales cycle. "It's never been easier to gain a bunch of pilots because lots of companies across the board are open to trying new things," she told the audience. "But going from pilot to production is really the hard thing."

Revenue Metrics: Separating Fact From Fiction

Founders frequently present revenue numbers to investors without clarifying what those figures actually represent. Bharadwaj pointed to the ambiguity around ARR terminology: "Is it true ARR or is it run rate?" she asked. "There's many ways to obfuscate the whole thing."

A widespread practice among AI founders involves inflating annualized run rate numbers by counting pilot customers—who typically engage with the product for only a few months—as if their spending will continue throughout the entire year. This creates an illusion of stronger revenue than actually exists.

Bharadwaj stressed the importance of transparency: "It's definitely in your long-term interest that you be very honest and upfront about what quality of revenue this is."

Red Flags in Revenue Quality

Distinguishing between genuine revenue and inflated metrics requires examining the composition and stability of a company's customer base. Warning signs include situations where a small number of customers represent the majority of revenue or where customers can easily switch to competitors offering better pricing. "Churn rate and retention [are] really dependent on that," Bharadwaj explained.

Measuring What Actually Matters

Vohra advocates for startups to monitor customer engagement and dollar retention metrics, particularly for consumer-facing businesses. "Figure out what benchmark [is] good, great, and excellent for your space," he said.

At Superhuman, the company tracked traditional ARR alongside an internal measurement called "delighted ARR"—revenue generated exclusively from highly engaged customers. This approach revealed which customers demonstrated genuine stickiness and long-term commitment. "Those users are now still users, those companies are now still customers," Vohra noted. "We obsessed over serving that particular category of our user base and our customer base."

The Vohra Benchmark

To validate product-market fit, Vohra recommends speaking directly with customers about the value they derive from the product and their reaction to losing access to it. The responses should be evaluated honestly against a specific threshold.

"If you're 15%, 14%, 13% or below, consider a complete pivot. Take the codebase, take the team, build something entirely new. But if you're 20%, you can totally optimize your way from 20% to 40%," Vohra said.

Vision Versus Business Reality

Dham cautioned founders against conflating a compelling vision with a viable business model. At the seed stage particularly, Bharadwaj emphasized that product-market fit is not the primary concern. Instead, she looks for whether "the founder have a thesis that seems plausible and do they have the agility to duck and wave as the situation changes?"

Dham noted that he increasingly values founders who have executed multiple pivots, viewing such decisions as evidence of their willingness to make difficult choices during uncertain times.

An Ongoing Challenge

Product-market fit remains a moving target that founders must continuously redefine and revalidate. "Even at a billion in revenue, these companies are re-earning their product-market fit," Dham said. "You constantly have to be innovating on products."