
🇮🇳 🇯🇵 full stack dev🗼@RakutenGroup | prev @promptql B.E. Computer Science ‘21 @bitspilaniindia
Tokyo
Joined December 2017
- Tweets979
- Following1.8K
- Followers161
- Likes5.9K
Pinned Tweet
Woohoo!🎉
@vercel - @HasuraHQ integration just got approved on Vercel Marketplace. This was my longest-running project at Hasura.
If you wanna integrate your Vercel-hosted frontend projects with an efficient GraphQL-backed Data API backend, do try it out: vercel.com/integrations/hasu…
ojas • オジャス retweeted
This is such a good post. orchidfiles.com/im-tired-of-…
ojas • オジャス retweeted
AIR 1 - Son of a Hardware shop owner in a small town Gaya (Bihar)
AIR 2 - Son of an IITian father working in Gurgaon. Son follows EPL.
Two Indias.
ojas • オジャス retweeted
Modern C++ is so functional that you can solve LeetCode Medium in 3 lines of code.
I can't believe FP is still winning in the era of AI.
ojas • オジャス retweeted
It’s all because OCaml was the right way all this time, you all were too weak to realize.
Jane Street made ~$40B in 2025 with 3,500 employees, a ~2x from the year before.
At ~65-70% profit margin, that's $8M profit / employee, the highest for a 1000+ ppl company. High-frequency trading continues to be the most efficient money making engine.
I want to share an old story about my Jane Street interview in 2014. Jane Street was known for hiring a lot of math, physics and CS olympiad winners from top universities and putting them through many rounds - including, for trading roles, a gauntlet of mental math. It was my 6th interview and my final round and I recall being asked "What is the next day after today in DD/MM/YYYY where all the digits are unique?" They'd toy with you and say "You can use a pencil and paper, if you want" but you knew that was an instant no. Painstakingly and as quickly as I could, I came to an answer. "How confident are you that this is correct on a 0-1 probability scale?" the interviewer said. "0.95", I blurted out, not fully knowing how to answer that. "Are you sure?" After thinking harder for a few more seconds, I realized I could've flipped the digits around to get a closer date. I gave the interviewer my answer. It was correct. "0.95 huh?" he chuckled. That's when I knew I failed.
Note: fwiw, other companies that come close in efficiency are
- Tether ($90M+ profit/emp)
- Hyperliquid ($80M+ profit/emp)
and on revenue:
- Valve ($50M/emp)
- OnlyFans ($37M/emp)
- Craigslist ($14M/emp)
- Anthropic ($12M/emp, run rate)
- OpenAI ($8M/emp, run rate)
For comparison, Nvidia is very efficient at scale and is $4.4M/emp.













