OpenCrew
BuildingAn operating system for running a company solo.
Then I build another one. Founder of OpenCrew and SOMA. Ex-ML data intern at Visa and Cluely. Every company below is designed to keep running when I walk away.
Each system is wired to run without me.
An operating system for running a company solo.
A verified-human layer for the internet.
A supplement brand, from formula to doorstep.
From "Running an agency, a startup, and a supplement brand at 22."
If something needs my daily attention, it's broken. The loop keeps turning without anyone touching it.
Perfectionism is the enemy of running multiple things. Each bar is a release.
The portfolio looks wide, but I say no to ten times more than I say yes to.
Every figure is sourced in the content files. Superscripts are footnotes.
1. npm registry. The final build footnotes each number with source and date.
Everything I can do, one layer at a time. Scroll to pull it apart, then hover a layer.Everything I can do, one layer at a time. Tap a layer to open it.
Six layers, from writing code to running companies. Filter by mode to see which layers I use to build, think, grow or run.
Every version of me that shipped something.
The journal. Open a letter to read it here.
The difference between a tool and an operating system.
Read the letter →Building a dev tool that people actually want to use.
Read the letter →Somehow it keeps working.
Read the letter →Fill in the form. It lands in my inbox as a proper email.Pick a topic and write to me.
NOTE 01. Three keys are hidden across both sides of this site. One is on these sheets. Engineers find it. Managers ask someone where it is. Also: hold P to peek at the other side.
Kartik is a founder and full-stack engineer from India. He studied Data Science at IIT Madras and interned on ML data teams at Visa and Cluely. He builds companies designed to keep running without him, then builds another one.
OpenCrew is Kartik's operating system for running a company solo. You describe the business to Theo, OpenCrew's AI, and it builds the brand, site and product, then runs marketing, sales and support. It is in private beta at opencrewai.com.
SOMA is a proof-of-human protocol. A cryptographic key is generated from your heartbeat, exists for milliseconds, and is destroyed after signing, so a service can tell a living person from a machine. The whitepaper, Proof of Human v1.0, was published in April 2026 at proofofhuman.world.
Nubronic Forte is Kartik's premium magnesium supplement brand, founded in 2025. It is at nubronicforte.com.
tokburn, a pixel-art companion for Claude Code with 3K+ npm downloads in its first week; Founder's Network, an invite-only directory of IIT founders; ASTrader, a live trading simulator on NSE and MCX; and PixG, a content agency for podcasters.
Parzival is Kartik's public alt identity. As Parzival he is learning AI and ML, cryptography and security, and hardware and systems from zero, one checkbox at a time. 17 of 871 topics are ticked so far. See ceoofhumanity.com/parzival.
Email kartik@ceoofhumanity.com, or reach him on X at @theceoofhumans.
PARZIVAL
Parzival is me, Kartik. Just an alternate identity. A public record of learning how intelligent machines think, how cryptographic systems earn trust, and how hardware makes computation real.
It was a dream.
It isn't real. Yet.
It can still be stopped.
Not to land a job. There are far easier ways to get one. I checked.
I love machines. A few billion multiplications turn into something that talks back, and that still feels like magic to me. I want to know exactly how the trick works.
And they scare me. Something this powerful, built this fast by people racing each other, will break in ways nobody planned for. I'd rather be in the room that fixes it than in the crowd that watches.
Everyone wants more capable AI. Faster models, smarter systems, fewer limits. But capability without security and safety creates risks we can't afford to ignore. I want to understand these systems deeply enough to help protect them, secure the machines they run on, and research ways to make increasingly capable AI safer.
The weights behind a frontier AI model can represent years of research and enormous investment. If they're copied or stolen, that work can be lost, and anyone holding a copy can run it, strip its safeguards and use it however they like. Someone has to find better ways to protect them.
Even a powerful AI system can be exposed by the machine it runs on. Models, data, and computations need protection even when the underlying infrastructure can't be fully trusted. Someone has to make that possible.
We're racing to build AI that can do more, think faster, and act with greater autonomy. But greater capability brings greater stakes. How do we understand, anticipate, and mitigate the risks before they become real-world failures? Someone has to take that question seriously.
So I'm becoming one of the people who can stop it.
See the plan ↓Every path starts with foundational knowledge: mathematics, programming, and algorithms. From there, three disciplines open up: AI, cryptography, and hardware. Each reveals a different part of the problem. Together, they build toward the goal.
Once the door is open, the next question is whether the AI behind it can be understood and trusted. Alignment, interpretability, robustness, evaluations. Not on the syllabus yet. It's where this goes next.
See what it needs, what it unlocks, and how far along it is. Click to open its topics.
Hard gates. Everything after one stays locked until it's finished.
Day 1. 0 topics. This is what the start looks like.
Every square marks a day of progress. Click one to see what I learned. Beside it is the exact set of topics I'm working through now, what I've completed, and what's next.
Each day I tick a topic, its square lights up and what I learned shows here.
Protect frontier model weights. Run AI inside hardware that can be trusted. Prove a computation happened correctly and privately. That's the door the three keys open. Behind it waits the bigger question, making increasingly capable AI safe, and alignment and interpretability are the next track.
The message beside this is encrypted. Every topic I master decrypts one letter. When the message is fully readable, I've made it.
Six rings, one per level. Every topic I learn decrypts one letter. Tap a ring to see its topics.
I try to share what I learn on X on most days, from technical breakthroughs and failed experiments to the papers I'm reading and the questions I can't yet answer. The most useful discoveries and progress from each week land here.
Halliday would be proud. I'm mildly annoyed. Most people never get past the hero.
The full syllabus: 871 topics in 31 modules, in the order they depend on each other, plus the 170-topic Secure & Confidential AI track. It's what I study every day. Steal it.
Want bragging rights? Email me the passphrase ANORAK. Send it ↗