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"
0:11 Introduction
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
Quotes
[5:23] "I see myself as a learner. I do what I do because I enjoy learning… doing one company over a period of time, I get bored."
[8:00] "Crisis always comes wrapped with a massive gift, if you are only willing to unpeel the onion and embrace the gift."
[19:49] "For the first time, you can hire something equivalent to human cognition for cents an hour. Not using it is almost wasteful."
[49:41] "I use the word adjustment rather than pivot. You come to work every day, you're playing chess."
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, occas