When Mukesh Bansal is asked what he is now, he doesn't say founder or investor. He says "a learner", and admits that the moment a company starts working, he gets bored. That restlessness is the thread through a career most people would have parked long ago: he founded Myntra and sold it to Flipkart, co-founded Cult.fit and turned fitness into a category, and now runs the enterprise-AI company Nurix, co-leads the Meraki Labs venture studio, and backs companies from Groww to Skyroot. This conversation follows the shape of all of it rather than any single company: why he reframes pivots as daily "adjustments", why he thinks the AI era rewards the hands-on operator over the people-manager, why rationally no one should start a company, and what his string of failed Silicon Valley startups taught him. It closes on Haridwar, three books, the longevity basics he trusts over biohacking, and a life he rates an 8. Chapters 0:00 Cold open: "willing to work on it for the rest of our lives" 4:21 One studio, two incubations, and Cult.fit: where the time goes 5:23 "I see myself as a learner" (and why he gets bored) 7:36 When does learning stop? Crisis as a gift 11:25 Why an hour of his time isn't what it was 11:41 The three kinds of professionals in the AI age 15:30 His stack: Warp, Claude, eight to ten agents overnight 18:03 "If you're only a people manager, watch out" 20:57 What Nurix is, and its Myntra origin 23:53 How big Nurix is today 24:47 Fermi: the AI tutor that won't give the answer 28:09 Back to Myntra: fashion then and now 30:06 How online became a liquidation channel 30:51 Koyu, Lyskraft and the CRED hypothesis 33:11 Why a venture studio, and why one company a year 39:09 Rejecting the compounding path 39:53 VC, valuation, and the near-death at Myntra 45:54 Haridwar, BHEL, and the books that lit the fire 49:06 Pivots as chess "adjustments" 51:39 Betting the megatrend, staying loose on the path 53:08 The Bay Area years and the return to India 57:37 Finding talent: "work with them for six months" 1:04:34 Learning vs winning: the live 2x2 1:07:51 Three books, and how he writes 1:14:23 Habits: sleep, the gym, one day a week to think 1:18:02 "No means not now" and other mental models 1:25:04 How health became a throughline 1:31:04 The longevity stack after 50 1:38:37 Why he runs SparX, and the deep-tech turn 1:44:05 Loyalty to a mission, and the number two 1:50:29 When AI supercharges the experienced 1:53:02 His kids' worldview, parents in Indian careers 1:56:55 Food, reading, and rating life an 8 Frameworks & mental models - **Learner over operator:** chase the zero-to-one learning curve; once a company becomes a treadmill of "how do I double this", hand it off. - **Crisis and momentum:** in a shock, cut the bad and double down on the good; "never let a crisis go to waste". - **The three professionals in the AI age:** the AI-native new-grad without judgment; the senior who has lost the ability to be hands-on; and the experienced operator who stays hands-on, for whom AI is a superpower. - **Adjustment, not pivot:** every day you make the best move on the board; most are small, occasionally you castle. A pivot that throws away the code, category and team is just a new company. - **Bet the megatrend, stay loose on the path:** be certain about the ten-year direction, zigzag the moves to get there. - **Horizontal compounding:** compound entrepreneurial skill across ventures rather than sector tenure in one. Credits & sharing This episode was produced by Rohin Dharmakumar and mixed and mastered by Rajiv CN. Write to us at fp@the-ken.com with your feedback, suggestions, and guests you would want to see on First Principles. If you enjoyed this episode, please help us spread the word by sharing and gifting it to your friends and family.
