
CEO @trylogical | IPhO medalist | Ex @nvidia, @ycombinator
San Francisco, CA
Joined October 2025
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we’re hiring a growth intern at Logical (YC F25).
shoot, edit, design, run experiments, manage creator campaigns, and ship under our accounts from week one. no 12 person marketing team to hide behind.
$40–60/hr, leading to full time. bonus if you can work with us in SF.
if this sounds cool, DM or apply below. hiring fast.
ycombinator.com/companies/lo…
Sam Karu retweeted
12 years ago, twitch played pokemon.
today, x plays iphone.
click ▶️ to use the phone.
xphone.solid.site/
there hasn't been a single reason to think about building a website in php in like a decade.
and now there's not even a reason to think about starting to think about building one.
great, but this graphic is irresponsible at best. the long standing norm in ML research is to give the highlight to the best performer in a row. everyone knows this.
say what you want about @ylecun but he would've never allowed this.
i've probably run 50+ interviews across Nvidia and Logical. here's why i think a unfamiliar codebase is good, 60 mins is bad and how leetcode can still work.
- anything a human could do with AI in 60 mins, AI can do better alone. at Logical, we measure something called HAV (human-added value) aka the "meat proxy avoidance metric". even after 24 hour take-homes, we realized HAV was difficult to measure and you're basically operating in a noise band.
- leetcode can still work, but only if you can get the candidate onsite. online is too easy to cheat these days.
what we do
- give a reasonably mature codebase. cold start, 7 days. you pick what to build. improvements, bug fixes, new features are all fair game.
my experience
- bug fixes tests grit. everyone likes adding new features these days, but the difference between vibe software and real software is robustness, speed, security. you have to do the unglamorous work.
- improvements and new features test creativity. some smart people are too afraid to push the envelope.
unfamiliar codebases show how people get up to speed. in a startup you can't spend weeks reading the codebase like a book. you learn by doing and breaking. you have to adapt to a system. tools, ci/cd, protocol.
work trials are the only reliable indicator left.
Goodbye to LeetCode? Google just updated its interview process. AI is now a part of it.
They have introduced a new round called Code Comprehension.
The idea behind this round is to drop the candidates into a 200-500-line codebase with Gemini available for use.
This round evaluates:
- Can you read someone else's code
- Are you able to debug independently before utilizing AI
- Can you catch when Gemini is wrong
this is like rating a movie by download speed.
tokens/sec was never about model quality. it's a model arch and inference metric.

















