Get Your Job

Built to survive a real job search in Germany. Captures JDs from any source via browser extension, parses and scores them with AI, tracks applications through a Kanban pipeline, and surfaces market signals — which skills are in demand, how long stages take, where rejections happen.

Results

Problem

Job searching in Germany as a non-EU candidate is high-stakes, high-volume, and chaotic. Tracking 237 applications across spreadsheets, browser tabs, and email threads was unmanageable.

Solution

Built a system that brings every part of the search into one place — from JD capture to AI analysis to pipeline tracking to market intelligence. Turned a stressful process into a data-driven one.

Features

• →Browser extension captures JDs from LinkedIn, Stepstone, Indeed in one click
• →AI parses each JD and generates a fit score with matches vs. gaps breakdown
• →Kanban pipeline — Backlog → Planning → Applied → Interviewing → Offer
• →Data Matrix shows skill ROI, German market signals, and seniority mix across all parsed JDs
• →Activity heatmap and streak tracking to maintain application momentum
• →Events tracker for job fairs, recruiter calls, and networking meetups
• →AI cover letter generation per application
• →Strategic alerts — surfaces skill gaps blocking the most applications

Lessons Learned

• →Building your own tools during a hard process is the fastest way to learn what actually matters
• →AI fit scoring only works when the prompt understands the candidate's specific context — not just the JD
• →Market signals are more useful than any single job listing

Story

I built this tool while actively job searching. Every feature exists because I needed it. The fit scorer saved me from applying to roles I had zero chance at. The data matrix told me TypeScript was the single highest-ROI skill to invest in.