Send a text

What if your most meaningful breakthroughs live on the far side of discomfort? We sit down with repeat founder and technologist Madhu Chamarty to unpack the real mechanics of a nonlinear career—how hard work eclipses raw talent, why acceptance beats resistance in the trough of despair, and how to design decisions that reduce failure without shrinking your ambition. From research labs to high-growth SaaS to building distributed workforce tech, Madhu shares the habits and mental models that helped him scale products, teams, and exits across industries.

We explore the founder’s paradox: you need perseverance to outlast market inertia, and paranoia to pivot before runway disappears. Madhu’s solution is a durable macro thesis that outlives hype cycles—like people plus machines as the modern workforce—paired with fast checkpoints that cut losses sooner each year. He explains how customer success transformed him from a “deck-first” strategist into a steady operator who compounds trust over time. Along the way, we dig into setbacks that later became inflection points, the discipline of radical acceptance during long slogs, and practical tactics for increasing at-bats while lowering personal risk.

Madhu also flips the AI narrative: he’s a human maximalist. As code gets commoditized, the scarcest assets will be taste, curation, presence, and small communities. If AI delivers time affluence, the real win is reinvesting that time into relationships and meaningful work. We close with Ikigai as a tool to align what you love, what you’re good at, what pays, and what the world needs—so you can navigate uncertainty with clarity and momentum.

If you’re craving a clearer playbook for resilience, smarter pivots, and a career that actually fits, this conversation will sharpen your lens. Subscribe, share with a friend who needs a nudge forward, and leave a review with your biggest takeaway—we read every word.

Support the show

Find us on LinkedIn!

Han & Hitesh

Send us Fan Mail

Kelly Vincent has spent 25 years in product management across Cisco, Juniper, NetApp, eBay - and she'll tell you she still doesn't have a clear path. That's not false modesty. It's the point.

In this episode, Kelly, now Chief Product Officer at Auctane, walks through the three seasons of her career: do anything, product management, and leadership. Each transition required a completely new playbook. Not an updated version of the last one. A new one, built from scratch.

She talks about entering product management after a background defined by math, code, and finance, fields with right answers, and feeling thrown into chaos. How she responded to that chaos became the framework she's since deployed at three companies. She also gets specific about what separates great product managers from everyone else (hint: it's not the degree), why the IQ-to-EQ shift is the hardest thing about moving into leadership, and why she believes AI is the best thing that ever happened to the PM role.

This is a conversation about building careers without a map, staying happy while doing serious work, and what it actually looks like to grow from operator to executive — not in theory, but move by move.

Support the show

Find us on LinkedIn!

Han & Hitesh

Send us Fan Mail

In Episode 7, Han and Hitesh sit down with Hugh Williams, who went from teaching himself Fortran in rural Australia to co-inventing infinite scroll at Microsoft and leading search teams at eBay and Google; holding 38 US patents along the way. In this episode, Hugh shares how Microsoft's "six to eight people can change the world" mentality fundamentally changed what he believed was possible in his career, why he believes the future of commerce will be conversational rather than transactional, and the pivotal hiking conversation with his wife that led him to walk away from Silicon Valley and choose family over executive ambition; ultimately learning that career success comes from making the people around you successful, not proving you're better than them.

Support the show

Find us on LinkedIn!

Han & Hitesh