Transcript hub
These are the ten Ready Set Do episodes pulling the most public YouTube views right now. So yes, the full transcripts are on the site too. No clipped teaser. No “listen for context” dodge. The whole thing is here.
Top 10 transcript
Most people talk about yoga like it is either wellness content or a neat philosophy deck. This conversation goes into the messier middle: what happens when a tradition gets flattened for the internet, how someone actually becomes a guru, and why criticism of Hinduism does not fit into the tidy little boxes people like.
Top 10 transcript
Data science interviews have become their own weird theater: LeetCode, dashboards, vague case studies, and a whole lot of pretending. Karun keeps it grounded here and walks through what actually matters if you want the job, not just the buzzwords.
Top 10 transcript
Everyone wants the clean answer for how to get into Meta, but the real path is usually a lot less tidy than the LinkedIn version. This one gets into the stuff that actually moves the needle: the technical bar, the moves that help you switch to better opportunities, and the kind of prep that does not collapse the second an interviewer asks a real question.
Top 10 transcript
Most AI conversations skip the part where someone has to build the thing inside an actual product with real users and real constraints. Nikhil talks through what it looks like to design generative AI features for Adobe Acrobat and how that kind of work maps to machine learning engineering roles.
Top 10 transcript
First internships are often less about being brilliant and more about not getting spooked by the process. This episode is for the person who keeps thinking the US product manager path is only for some polished, obvious candidate from the start.
Top 10 transcript
A lot of diversity talk gets flattened into slogans and conference-panel language. This one is better because it stays close to the actual arguments: CAT, economics, reverse brain-drain, and what people mean when they say they want a better pipeline but never explain the pipeline.
Top 10 transcript
Some career stories sound made up until you realize they were built one unglamorous step at a time. This episode follows a mechanical engineer from Indian Railways to SpaceX without pretending the path was neat, linear, or somehow inevitable.
Top 10 transcript
Machine learning interviews have become a strange mix of theory, product sense, and please-do-not-waste-my-time energy. Nirmal and Karun pull the curtain back on what candidates keep getting wrong, what hiring teams actually notice, and how to stop rehearsing answers that sound smart but do not land.
Top 10 transcript
A lot of people frame success as leaving, which is convenient because it keeps the story simple. This episode is more interesting because he chose IIT Kharagpur instead, and the whole thing becomes a very different kind of bet on AI, ambition, and where the best launchpad actually is.
Top 10 transcript
Travel stories get boring fast when they only exist to confirm what the traveler already thought. This one is better because the surprise is the point: what India looks like through the eyes of someone seeing it properly for the first time, and what that says about expectation, culture, and the stories we drag around before we arrive.