A clearer way to search, apply, and hire

Back in October 2025, I was in the middle of a miserable job search. I was registered on every job site imaginable, losing track of where I had applied, who had rejected me, and who was just ghosting me. It was messy, frustrating, and honestly quite draining.

Even though I work in IT, I have never thought of myself as a proper software developer. But I had heard about vibe coding, using AI to build things by describing what you want. So I spent a few nights in my spare bedroom messing around with OpenAI's Codex, trying to build a simple tool that would help me stay organised.

It worked well enough that I landed a local job shortly after. I closed the computer and thought that was the end of it.

A few months later, while doing some digital spring cleaning, I found the old app files again. I was about to delete them when I noticed a newer AI model was available. Out of curiosity, I ran the app one last time to see what the new AI would make of my old amateur code.

I did not expect what happened next. The AI started suggesting improvements I had not thought of: better ways to reduce the job-search fog, track applications, support CV work, and help people decide what to do next. Over the next week, it felt less like I was coding and more like I was collaborating.

What was supposed to be a deleted file became North Star Job Hunt: a jobseeker workspace designed with heavy AI assistance for people who are currently where I was last October. It helps track applications, organise the search, and use AI support without taking control away from the person looking for work.