How to Crack YC and Build AI Startups

The booking itself is the episode’s first lesson: Nishant found Kshitiz through the YC-application podcast Kshitiz runs on the side, and reached out by cold DM — “in true founder mode.”

Voosh builds back-of-house software for restaurant chains across North America, automating financial reconciliation, reputation management, ad spend and disputes across DoorDash, Uber Eats and Grubhub at once.

The company measures itself on customer outcomes — top line or bottom line — rather than on usage metrics.

It took two pivots to get there. Voosh began in India as something closer to an OYO for restaurants, aggregating more than two hundred outlets in Bangalore, where the operational leakage became obvious fast.

The second attempt chased 10-minute food delivery and was abandoned once the real estate and inventory costs on both CapEx and OpEx made the economics unworkable.

The move to the US was deliberate: a higher willingness to pay for software than in India. The first customer came from pure cold outreach, became a design partner, and then referred the next customers in.

His advice for founders entering the US narrows rather than broadens — know your ICP in uncomfortable detail. Pizza chains with under twenty outlets in Texas converted ten times faster for Voosh than the broader restaurant market.

He is precise about product-market fit: not interest and not sign-ups, but customers paying repeatedly for something they cannot operate without. Until then, do the things that will not scale.

Voosh got into Y Combinator on the first attempt by being candid about the pivots and everything that had not worked — on the theory that YC, reading more than 30,000 applications a batch, is unusually good at spotting anything padded.

On defensibility once software is commoditised, he skips the technical framing entirely: the top sliver of companies wins on genuine customer obsession, a depth of understanding of a client’s workflow that a faster shipping cadence alone cannot replicate.

Quick-fire: he sides with the wrapper camp over the tech-moat camp, expects applications to keep delivering steady returns while physical AI and robotics become the larger story, and would raise venture money only after real traction and paying customers.

His closing advice skips strategy for a trait — stay curious, which he calls the single most important quality for solving genuinely hard problems.