- What I'm working on right now - https://incidenthub.cloud - It monitors cloud/SaaS status pages. I'm working on some white-labeling features.

- New ideas - Easier way for new users to try out the product. It's currently a few steps, but I want to optimize it for specific user personas.

Just launched a startup/life style business where I use AI to help people practice for upcoming interviews - https://hiredcoach.ai

Already have been told by some users that the interview prep they got from it has correctly predicted several of the actual interview questions they got, crediting its prep for their breezing through the interview rounds.

I'm really hoping it helps a lot of people!

Experimenting with various AI models via GitHub Co-Pilot on an extremely niche project to see how far these models have progressed. Used like ~60% of the premium quota to develop the following projects:

website: https://murajah.pages.dev/

Play Store: https://play.google.com/store/apps/details?id=com.murajah.we...

Manual audio splitting tool for the above project: audio-splitter-6b3.pages.dev/

I've always been skeptical of AI-generated code. This is my first experiment with AI agents, where the full code base, implementation, debugging, and deployment are done using AI Agents MCPs.

Used VS Code all the way, i.e., all the source codes, including the code to generate the Google Play Store APK. I only reviewed the source code before committing and helped debug by suggesting ideas/algorithms.

Mostly used Claude Haiku 4.5 like 75% of the time, where it failed, switched to the sonnet 4.5 or GPT 5 codex. Interestingly, when debugging, sometimes one model struggled even after numerous iterations/feedback loops, but then the problem was solved instantly as soon as I switched to another model.

The source codes are available here:

https://github.com/wasi0013/Murajah

https://github.com/wasi0013/audio-splitter

Initially, I thought the audio splitting could be done automatically using some AI models from Hugging Face or Whisper. But the audio files have some complex repetitions; the output was miserable.

So, for now, this splitting is done manually using a Web UI (The audio splitting tool splits the large audio files into multiple small audio files, think of it like a long paragraph is split into multiple sentences.)

I will attempt again to automate this splitting task using AI, after drafting a game plan for tackling the challenges. I'm thinking of using energy drops and other similar factors to create segments.

I kinda gave up on building apps for Rocknix (since there is no easy way to distribute software) and instead have been looking at my apple watch. I ported over some software for workouts that is streamlined. I'm working on a way with MDNS to sync data to my Linux PC automatically when I'm at home.

If it works out, maybe this could be a way for me to replace the compromised Apple Music app with something that actually syncs to my music on my desktop.

I'm trying to improve the UX of my time-zone converter. I started with my dedicated converter pages, like /est-to-ist. The goal was to make it easier to identify which times are best for scheduling meetings:

https://currenttimeutc.com/est-to-ist/

Trying to relearn Rust by writing a download manager CLI. Managed to get the blocking version working, now I've implemented the async version using tokio. Have to next implement downloading chunks with different workers, and a download queue.

https://github.com/stonecharioteer/download-manager/

I recently launched Queens Hourly puzzle on App Store.

https://apps.apple.com/us/app/queens-hourly/id6751763916

Every hour, new Queens Puzzle (LinkedIn style) is available to play. No leaderboard, no stats, nothing to buy, just pure play. Every user gets the exact same puzzle to solve for that UTC hour.

I would love to get some feedback from the community!

I'm working on Sum Buddy an AI spreadsheet. I didn't like the way Microsoft and Google were integrating their AI by essentially tacking on a chatbox and I wanted to explore more native integrations, like its another part of the tool bar.

https://www.sumbuddy.net/sumbuddy.html

Most promising: https://notemodo.com

Most out there: https://millionminds.com

Runner-up: https://vodomodo.com

Oar - GitOps with Docker Compose (think ArgoCD for Docker Compose) - https://github.com/oar-cd/oar

claude-review - collaborating on documents with Claude Code, with Confluence-style comments - https://github.com/Ch00k/claude-review