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Anil Mathews

Anil Mathews After Nasdaq: Why Focus Beats Scale

When Anil Mathews, founder and former CEO of Near Intelligence, led the company to a Nasdaq listing through a SPAC merger in 2023, the milestone closed one chapter and began another. The company, which grew into one of the most recognized data intelligence firms of its time, started trading under the symbol NIR after years of global expansion and strategic acquisitions in Europe and the United States.

“The listing was both an ending and a beginning,” Mathews said. “It taught me how quickly success can create noise. I wanted to return to clarity and precision, to building without distraction.”

Mathews first entered the technology spotlight in the early 2000s, when mobile data was still an experiment. He saw its potential early, founding Near and leading it through sustained growth backed by investors including Sequoia India, Cisco, and JP Morgan. The Nasdaq debut was a public validation of that vision, but for Mathews it also exposed the cost of scale.

“The bigger you get, the slower decisions move,” he said. “I became more interested in small teams, fast iterations, and software that quietly makes work better.”

His focus today is on what he calls practical software, tools that remove friction rather than add features. “If a product doesn’t save time in a real workflow, it doesn’t ship,” he said. “AI should accelerate human judgment, not try to replace it.”

He expands on those ideas in his book The Start Switch, which explores how momentum begins and why most projects stall before they matter. The book lays out a seven-day start sprint and a simple framework called the Switch Curve, showing how visible progress fuels sustained execution.

Mathews says that discipline now defines what comes after a Nasdaq listing. His work centers on applying AI where it adds clarity, not complexity, and on building systems that serve human focus rather than compete with it. The ambition is still there, but it is quieter, sharper, and measured by focus instead of scale.