Data scientist at Gojek, working on maps and places. I like building small tools and figuring things out.
Right now I’m building IndieClaw – a personal AI agent on Telegram that manages my health tracking, morning briefings, and half my daily workflow. Also maintaining python-doctor, a CLI that scores Python codebases on health.
I keep an ML Wiki — notes on machine learning concepts, papers, and ideas I’m working through.
Let’s say you set up a persistent AI agent. It runs on a cheap VPS, talks to you over Telegram, locks down your SSH, cleans up 97 GitHub repos, builds you a calorie tracker from a lunch photo. You’re sold. You write a blog post telling everyone to do the same thing. That was me, a month ago, with OpenClaw.
Then I stopped using it and built my own. Let’s talk about why.
Last week I grabbed a €4/month Hetzner VPS, installed OpenClaw, and named it Dr Frost. Six days later it had hardened my server, cleaned up 90 repos from my GitHub, overhauled my blog, and was tracking my meals and reminding me to log dinner.
I didn’t write a single script for most of this. I just told it what I wanted.
Here’s why you should do the same, and how.