A bitcoin risk simulation model

Been working on https://phrasing.app for about 18 months now. I wanted a way where I could learn a maintain multiple languages, all in one place.

I wanted the power of spaced repetition, the frictionless experience of social media, and the joy of a beautifully designed application.

It’s built and I’ve been using it daily for about 8 months now, and lately it’s been working remarkably well. I’m learning several languages, and dabbling in even more, all in just an hour a day.

Now I just have to get all the marketing assets up and marketing it. Working on a new landing page at https://phrasing.app/next — not at all ready to be shared but the question is what am I working on!

Working on creating open-source stack for developing agents. Started a year ago with playing with CrewAI, Langgraph , Ango and others.. Then realised the learning curve is more than necessary and I do not use most of their fancy things. So I started building tinyAgent inspired by a post on Huggingface. https://github.com/askbudi/tinyagent

Later on, I find myself switching between Claude, Cursor, Codex and Gemini-cli. (Not much gemini-cli to be honest:D ) And wanted to play with MCP Servers, so I built Roundtable https://askbudi.ai/roundtable , and when I face a bug, or I need to brainstorm, I task it to create subagents from Claude, Codex,... And task each of them to analyze the issue and then aggregate their opinion. It is fun, and I feel I get more out of what I have already paid for. ( Paid for Cursor 1-year plan, later on switched to Claude Code, and codex is a part of the Plus plan that I have access to)

Code Input - https://codeinput.com

Currently working on a better CodeOwners for GitHub.

Working on https://donethat.ai - a fully automated work tracker and in the future also AI coach.

The concept is pretty simple: It takes screenshots every few minutes and reconstructs a calendar of what actually happened. On top of that features to set goals for how much time to spend on topics and a social feed.

This is obviously super sensitive data. I built it in a way that it never stores raw data and you can also bring your own Gemini key, plus a lot more privacy features. Tried to make it fully local but found that it takes too much energy and only works on high end machines.

I have a few first users, iterating with them, and right now exploring if it’s possible to make this work in team settings without sacrificing privacy.

Playing around with code visualization. Built a vscode extension to generate architecture diagrams for terraform - https://marketplace.visualstudio.com/items?itemName=infragra...

Now exploring on extending this to general programming languages. Software is getting increasingly complex, but I don't think we have figured out many ways of navigating large codebases. Would love to hear about your favourite tools in this space and what would you like to see?

Right now, I’m focused on a personal project where I’m building an AI-driven agent platform. I’ve been working with LangGraph for workflow orchestration and MCP for coordinating multiple agents and models. Through this, I’ve gained practical experience integrating LLMs, vector databases, and external APIs into a scalable backend system.

I’m looking for a remote role where I can apply this hands-on experience with Full Stack engineering and AI agent orchestration to real-world production environments.