Finding product-market fit—that elusive milestone where a startup’s offering sells organically and sustains momentum—has arguably never been more difficult than it is today. In the fast-paced era of artificial intelligence, startups are often capable of achieving record-breaking initial growth velocities. Yet, beneath the surface of explosive sign-ups and rapid deployments, customer stickiness remains fragile, and software products can be replicated more easily and swiftly than ever before in the history of the tech industry.
These pressing challenges took center stage last week at TechCrunch Disrupt, where prominent venture capitalists and tech founders gathered to dissect the shifting landscape. The panel featured Anu Bharadwaj, a partner at Iconiq; Rajeev Dham, a partner at Sapphire Ventures; and Rahul Vohra, the founder of Superhuman Mail. Together, they explored how the traditional playbooks for achieving and measuring product-market fit are being rewritten under the weight of generative AI excitement and shifting enterprise buyer behaviors.
The conversation quickly zeroed in on the deceptive ease of capturing initial interest in the current market environment. According to Bharadwaj, the high-stakes climate surrounding artificial intelligence has lowered the barrier for early conversations, creating a false sense of security for many early-stage entrepreneurs.
"It’s never been easier to gain a bunch of pilots because lots of companies across the board are open to trying new things," Bharadwaj told the audience during the panel discussion. "FlatAppearance—no, going from pilot to production is really the hard thing."
This friction between running a temporary test and securing a permanent, production-grade deployment has exposed a widening gap in how startups evaluate their own traction. Right now, Bharadwaj noted, a troubling number of founders pitch revenue metrics to prospective investors without clearly specifying the actual quality or stability of that revenue.
"Is it true ARR or is it run rate?" she said, pointing to the opacity that can cloud early-stage financials. "There’s many ways to obfuscate the whole thing."
Lately, discussions across tech circles, particularly on platforms like X, have fixated heavily on AI founders artificially inflating their annual recurring revenue figures. Whether blurring the lines between annualized run rate projections and solid annual recurring revenue, founders frequently lean on vanity metrics to project an aura of robust financial health. A particularly common gimmick involves counting short-term pilot customers—clients who may only utilize a software tool for a couple of months—within the annualized run rate revenue calculation. By doing so, founders imply that this transient income stream will reliably continue for the entirety of the calendar year, a practice that masks underlying customer churn.
While the temptation to massage numbers to appease investors or secure a higher valuation can be strong in a competitive funding market, Bharadwaj emphasized that transparency ultimately serves the long-term viability of the business.
"It should be obvious, but it’s definitely in your long-term interest that you be very honest and upfront about what quality of revenue this is," Bharadwaj pointed out.
She stressed that startup leadership teams must actively separate fleeting market hype from commercial reality when evaluating their revenue streams. Warning signs abound, such as when a company’s entire financial foundation rests on a tiny handful of enterprise customers, or when those clients can easily abandon the platform for a competing vendor offering a cheaper alternative.
"Churn rate and retention [are] really dependent on that," she continued, underscoring that revenue without retention is a house built on sand.
This reality makes rigorous internal tracking essential, a sentiment echoed by Superhuman founder Rahul Vohra. Vohra strongly advises modern startups to keep a close eye on genuine customer engagement metrics and dollar retention, particularly for businesses operating in consumer-facing or product-led growth sectors. Founders must look beyond generic benchmarks and deeply understand the specific health indicators relevant to their niche.
"Figure out what benchmark [is] good, great, and excellent for your space," Vohra advised the Disrupt attendees.
Sharing the playbook behind his own email productivity company, Vohra explained that while Superhuman tracked traditional ARR, they also relied heavily on a specialized internal benchmark they coined "delighted ARR." This metric isolated financial contributions coming exclusively from users who demonstrated deep, ongoing engagement with the software. By filtering out casual or disengaged users, the company gained a much clearer, unvarnished view of true customer stickiness and long-term lifetime value.
"Those users are now still users, those companies are now still customers," Vohra explained, reflecting on the enduring value of that focused approach. "We obsessed over serving that particular category of our user base and our customer base."
Beyond financial metrics, the panelists turned their attention to the positive indicators—the green flags—that genuinely signal a startup has successfully secured product-market fit. Vohra recommended a qualitative approach, urging founders to talk directly to their customers to understand the specific value they extract from the product. He highlighted the importance of measuring sentiment by asking users how they would feel if they could no longer access the tool, and then assessing those responses with unflinching honesty.
According to Vohra, the outcome of those customer sentiment assessments should dictate a startup’s strategic direction. If a founder discovers that only a tiny fraction of surveyed users—such as 15%, 14%, 13% or lower—would be genuinely devastated to lose the product, it is time for a drastic change.
"Consider a complete pivot. Take the codebase, take the team, build something entirely new," Vohra advised. However, if that crucial sentiment score reaches around 20%, the outlook is vastly different. "You can totally optimize your way from 20% to 40%."
Building on this theme of flexibility, Sapphire Ventures partner Rajeev Dham cautioned founders against a common psychological trap: confusing a grand, sweeping vision with the mechanics of operating a viable business. In the fast-evolving tech ecosystem, stubborn adherence to an initial idea can prove fatal if the market is quietly rejecting the offering.
For seed-stage companies in particular, pivoting is not a sign of failure, but a normal and healthy part of the evolution process, according to Bharadwaj. At the earliest stages of a company’s lifecycle, she does not look for fully realized product-market fit. Instead, she evaluates whether the founding team possesses a plausible core thesis combined with the operational agility necessary to adapt as market conditions shift around them.
Dham reinforced this perspective, noting that venture capitalists today increasingly value founders who have navigated multiple pivots. A history of pivoting demonstrates that an entrepreneur has been willing and able to make agonizingly difficult decisions in a volatile economic climate where static strategies quickly become obsolete.
Ultimately, the panel made it clear that product-market fit is not a permanent destination that a startup reaches and subsequently leaves behind. Instead, it is a dynamic equilibrium that founders must continually redefine and re-earn as technologies, customer expectations, and competitive landscapes shift.
"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."
