JobHunt

Overview

Job hunting in 2026 is still weirdly manual. You paste the same resume into fifty applications, write cover letters that sound like everyone else's, and track everything in a spreadsheet that falls apart by week two. JobHunt is my attempt to fix the parts that shouldn't require this much effort.

Paste any job posting. The AI pulls out the company, role, and requirements automatically. Upload your base resume once. Get a tailored resume and cover letter for each application without starting from scratch every time.

What it does

The application tracker gives you both a Kanban view and a list view, so you can move applications from interested through to offer without losing track of where things stand.

The JD analysis breaks down the keywords and must-have skills in any job description so you know exactly where your resume needs to land before you apply.

Document generation produces a tailored resume and cover letter per application, grounded in your uploaded base resume. The output is based on what you've actually done, not made up.

Where it is now

The core loop works. A small group of people have been using it, applications are being tracked, and documents are going out. It's early, and the numbers reflect that honestly.

What I'm working on now is output quality: making the generated documents feel like the candidate wrote them. Better resume parsing, smarter context in the prompts, and tighter keyword matching between the JD analysis and the output are all on the list.