Dan
Lee

Before ChatGPT was a household name, before "AI sales tool" became a category so crowded you need a spreadsheet to track it, Dan Lee was building Nooks - not because he loved sales, but because he kept watching people get buried under tasks that should not require a human brain.

The insight was almost accidental. Lee and his Stanford co-founders Rohan Suri and Nikhil Cheerla had built a virtual office tool during the early pandemic. They watched the data. Most teams used it politely. Sales development reps used it obsessively. Something about the SDR day - the call logging, the prospect research, the CRM updates, the inbox zero theater - was crying out for relief.

That observation became Nooks: an AI Sales Assistant Platform that has since raised $70 million, landed Kleiner Perkins as a Series B lead, earned all three founders a spot on Forbes 30 Under 30, and reportedly made users say they would quit their jobs if the product went away. That last part is not a marketing line. It is the kind of thing that surfaces in user interviews and makes a founder sit up straight.

Dan Lee grew up in New Jersey after being born in Manhattan. He was the kind of teenager who conducted physics research at Princeton Plasma Physics Lab. He was also the kind of teenager who got into trouble for launching homemade sugar rockets in his backyard - which, depending on your perspective, is either a red flag or an excellent founding team screening criterion.

He played ice hockey. He disliked AP Computer Science - "really disliked it" is the exact phrase on record. The field only clicked at Stanford when he watched his peers thrive in it and started connecting the math he already loved to the systems being built around him. By the time he had both a BS and MS in computer science from Stanford, with a focus on AI, his trajectory looked inevitable. At the time it did not feel that way.

Between Stanford years he worked as a Quantitative Strategist at IEX Group - the exchange made famous by Michael Lewis in "Flash Boys" - and then as a Machine Learning Engineer at Scale AI, the data annotation giant. He also did ML research at Cerebras Systems, the chip company chasing AI's hardware bottleneck. Each stop added a layer: financial systems, data pipelines, specialized silicon. None of them were sales.

The detail most investors and journalists reach for: Nooks pivoted to AI-native sales tooling before ChatGPT launched publicly in November 2022. Lee and his co-founders had already decided that large language models would transform the category - and built accordingly. When the rest of the market caught up to the concept, Nooks had a head start measured in months.

The early product was rougher. A virtual sales floor where reps could hear each other's calls, celebrate wins together, and feel less isolated in the remote-first world that Covid had made permanent. The social layer was real and users valued it. But Lee noticed the deeper value was in the workflow automation - the part that made a rep's hour actually productive rather than just less lonely.

Series A arrived. The thesis sharpened. By the time Kleiner Perkins led the $43 million Series B in October 2024, Nooks had three distinct AI products: a Dialing Assistant, a Coaching Assistant, and a Prospecting Assistant. The rebrand - from "virtual sales floor" to "AI Sales Assistant Platform" - was not just cosmetic. It was a declaration that the category they were building had finally arrived.

Lee's most consistent argument cuts against the panic narrative around AI replacing workers. His bet is the opposite: in a world where every outbound email is AI-generated, where every prospect has been reached by a dozen automated sequences, the reps who feel like actual human beings will close more deals. Being human stands out.

This is not a philosophical position for him - it is a product thesis. Nooks automates the mechanical: the dialing, the research, the scoring, the note-taking. The human gets the call connected, the prospect on the line, the thirty seconds of conversation that no large language model can replicate. The AI handles the before and after. The rep handles the middle.

"Sales is fundamentally a human-to-human interaction," Lee has said. "But reps struggle to free up time to focus on this relationship building." The product is an argument embedded in software: automation is not the enemy of the sales rep; it is the only thing standing between them and more time to be a person.

The customers who prove the thesis out loud include Deel, Webflow, Verkada, and Fivetran - companies that run serious outbound motion and have the pipeline numbers to show what happens when their SDR teams use Nooks. Teams report doubling their pipeline per rep within days of starting a trial. The coaching product cuts new-rep ramp time in half.