For people stuck on the first move
A weekly show about the first rep, the first upload, the first ugly draft, and the moment you let yourself go.
Choose your starting line
These lanes are about what you are trying to do right now. Pick the mess that feels closest to your real life and start there. (Yes, even if the timing feels a little cursed.)
Layoffs, job interviews, recruiter tactics, networking strategy, and the moves that actually turn applications into offers. If the job market feels brutal right now, start here.
LinkedIn growth, personal branding, content strategy, audience building, and turning online attention into career leverage.
Non-linear career moves, switching functions, and breaking into new roles without sounding lost in the process.
DJing, spiritual leadership, full-time art, nonprofit work, travel, and every other pursuit that refuses to fit in a standard career box.
Breadth
One week it is a recruiter. Next week it is a spiritual teacher, a founder, a kid, or someone rebuilding a life from scratch. The counts below describe the archive, not a scoreboard.
Conversations with people in motion, not polished gurus looking backward.
Episodes with crawlable transcript text, highlights, or both.
A weirdly mixed room, which is exactly why it works.
Other rooms where the same conversation keeps going.
Stories crossing India, the United States, Europe, and beyond.
One feed. A lot of ways to build a life.
Geographies represented
A conversation can cross more than one place. That is part of the texture.
Who keeps showing up
Recruiters, founders, creators, students, operators, and guides. The mix is the point.
Latest episodes
These are the newest conversations, which usually means the advice still has some sweat on it.
Two years ago, Anas lost his full-time UK job. He went back to Upwork — the platform he'd already used to make over $80K while studying — and within months landed an 18-month Swedish contract that generated over $5M in client revenue.
Agentic AI hiring is already past the point where saying 'I use Claude' sounds impressive. Surya Kari works on Amazon's generative AI team, so this conversation gets into what actually matters now: customer judgment, data science fundamentals, model evaluation, and the proof that tells a hiring team you can ship inside a real business.
How do you go from running tuberculosis programs in rural Bihar to studying at Oxford and eventually working with WHO Africa? There is no clean answer — and that is sort of the point.
That's what Avi Pilcer actually shipped while most of us were still picking a domain name. He built an autonomous system called System Zero that does the heavy lifting for him.
Applied AI hiring can feel fake from the outside because the job market keeps asking for years of experience in tools that barely existed five minutes ago. Sowmya Podila, a senior data scientist at Target, walks through how Fortune 500 AI work actually gets staffed, what hiring teams look for, and how to build a story that sounds useful instead of buzzword-heavy.
Hari Prasad Renganathan got rejected from the H1B lottery three times. Most people in that situation spiral.
Two weeks into my first semester in the U.S., I remember sitting at my desk refreshing LinkedIn like it was a slot machine. At some point you start asking yourself the obvious question: is this just how it works here… or am I doing it wrong?
Two years ago, I was lying in an ER bed, scared enough to get brutally honest with myself. And the thing that bothered me most was not some giant life philosophy.
Everyone's hyping autonomous AI agents. Your corporate IT department is quietly building a blacklist.
Guests
Start with guests who left a trail through the archive. Each page gives you the person, the conversation, and the move worth stealing.
How To Build A Strong Profile For Masters In USA - w/ Akshansh
2 conversationsAmanHow To Deal With A Lay-Off While on OPT (& Get A New Job Within 90 Days) - w/ Aman
2 conversationsFarahHow To Vibe-Code A Portfolio Website (& Why It Matters) + Comparative Analysis of AI Tools in 2025 - w/ Farah
2 conversationsJackieHow To Pivot To Product Management From The Medicine Field (or Any Field) - w/ Jackie
2 conversationsKarunHow To Crack Machine Learning Interviews (Microsoft & Walmart Sr Data Scientists POV) - w/ Nirmal & Karun
2 conversationsMelissaHow To Be A Professional Career Coach & Accelerator (Top 1% In The World) - w/ Melissa
Elsewhere
Other shows, other rooms. Same obsession with the first move.
Subject matter hubs
Starting lines are about what you are trying to do. These hubs are the subject matter: visas, careers, creator leverage, tech, building, and life experiments.
OPT timelines, O-1 visa strategy, H-1B alternatives, visa interview prep, and study abroad decisions for international students.
Job interviews, recruiter strategy, layoffs, networking, career fairs, and getting hired when the market is rough.
LinkedIn growth, personal branding, audience building, writing online, podcasting, and turning attention into leverage.
AI roles, machine learning, robotics, software careers, product work, and the part of tech where the job still has to survive real constraints.
Startup launches, fundraising, product shipping, event planning, app development, and building something from scratch.
Solo travel, spirituality, nutrition, meaningful vacations, relationships, and the strange corners of a life lived with intention.
Guides
Episodes are where the conversation breathes. Guides are where the answer gets tighter.
Guide
A transcript-backed guide to the O-1 visa for engineers: what counts as evidence, when to start, and how to stop acting like the path is only for celebrity researchers.
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A transcript-backed guide to surviving an OPT layoff, rebuilding momentum, and getting your next shot without letting the panic run the whole week.
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A transcript-backed guide to LinkedIn growth, public proof, and getting known before the follower count looks impressive.
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A transcript-backed guide to AI career pivots, machine learning transitions, product moves, and figuring out what still matters when AI starts changing the job itself.
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A transcript-backed guide to getting hired in the US as an international student, with episodes on career fairs, interviews, networking, recruiter signals, and what to do when the market feels cruel.
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A transcript-backed guide to Big Tech software engineering jobs, recruiter screens, interview prep, portfolios, and the tiny signals that make a candidate easier to trust.
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A transcript-backed guide to machine learning engineer interviews, applied AI roles, project proof, and how Big Tech teams actually talk about model work.
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A transcript-backed guide to data science, data engineering, analytics, dashboards, interviews, and the practical path from raw curiosity to hireable proof.
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A transcript-backed guide to OPT, H-1B, O-1, study abroad choices, and the career decisions that get tangled up with visa clocks.
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