The single greatest time to start a company.
NVIDIA's founding bet was wrong. Facing that fast is what saved it. Agents need control: change one word in a plan, get one word of change back.
From a kid in a small town in Maharashtra dreaming of Silicon Valley, to a seat a few rows from the people shaping the future of AI. The best two days of my life.
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I grew up in a town in Maharashtra, India, with about 3,000 people. Today I study at Duke, in North Carolina. San Francisco was always the dream.
In July, Y Combinator paid for my round-trip flights from North Carolina to San Francisco.
Builders from over 120 countries applied to Startup School 2026. Keep scrolling: the sky empties until one light is left. That one is mine.
The Steve Jobs of my generation, on one stage. Chips, models, the tools people build with, and AI that has to survive the real world.
Every photo below is from my phone, taken from where I sat at Chase Center.






The single greatest time to start a company.
NVIDIA's founding bet was wrong. Facing that fast is what saved it. Agents need control: change one word in a plan, get one word of change back.
Your model is table stakes, eval is your strategic moat.
In physical AI the demo is 1% of the work. The rest is a game of nines.
I can go start the world's most ambitious crazy company.
Be right while everyone thinks you are wrong, and accept that it takes a long time.
Hype is weather. Adoption is climate.
A weekend project that became the fastest-growing repo on GitHub in 60 days.
If you have to fine-tune, you don't actually get a single general purpose model!
Robots keep the last seconds as video and compress everything older into text.
That's a hell of a lot slower than knowing it in cognitive L1 cache
Learn things yourself, even when an agent can look them up.
Delete the system prompt. Add back only what breaks.
With the newest model, his team cut more than 80% of it.
Ignore LinkedIn.
When intelligence gets cheap, vision and ambition are what's scarce.
The most important thing is to pick something you're super excited about.
Pick problems today's models fail at almost completely, around 1%, not 20%. Those are still open. And moving data costs about a thousand times more than computing on it, which is why AI hardware looks the way it does.

"We were like hiding out in this little building in Cambridge. PG was making us dinner."
YC's origin story, told a few rows from me. Twelve seconds I filmed during the closing session.
All of it, by my count, about $35K.
More parties than nights, and a room full of the most cracked people of my generation, from Taiwan to MIT, Stanford to China to France. Somewhere in there is the next Jensen Huang.





Best two days of my life. I still can't fully believe they happened.
A kid from a town of 3,000 sat a few rows from the people building the future, on flights YC paid for.
