Lumpy Octopus

Job Search Browser Extension

Screenshots

A closer look at the dashboard, saved jobs board, quick-capture extension popup, and the detailed review screen used to assess each role.

All names, roles, companies, dates, scores, and other visible information shown in these screenshots are sample data created for demonstration purposes.

Job Fit dashboard showing charts, top jobs by fit score, and a saved jobs table with tracking statuses
Saved jobs board with fit scores, recommendations, tracking statuses, and supporting charts for quick review.
Job Fit dashboard overview showing filter controls, summary metrics, and recommendation charts
Dashboard overview with summary metrics, filters, recommendation states, and role-type breakdowns.
Detailed Job Fit review screen showing scoring, pros, cons, strengths, and application status controls
Role detail view combining fit analysis, strengths, concerns, and application tracking in one screen.
Job Fit browser extension popup with actions to analyse the current job or open the dashboard
Lightweight browser extension popup for analysing the current role or jumping straight to the dashboard.
LinkedIn role capture Saved jobs board Fit scoring Application stage tracking Charts and filters Local-first data

Case Study

Overview

A private browser extension and local dashboard built to make job searching more structured. It captures roles while browsing, scores how well they fit, and keeps everything reviewable in one place.

Why I built it

Job searching gets messy quickly once useful roles, copied notes, application stages, and follow-up decisions start spreading across tabs, spreadsheets, and bookmarks. I wanted a more practical workflow that could capture a role quickly and help me decide whether it was worth pursuing.

What it does

The project lets me analyse the current role, save it locally, review it later in a dashboard, filter and sort saved jobs, track application progress, and compare opportunities using fit, stability, and recommendation signals.

What I worked on

I designed and built the extension popup, the local data structure, the saved-jobs dashboard, the scoring and recommendation presentation, the tracking flow, and the detailed job review screen with strengths, gaps, and notes.

Tech used

JavaScript, browser extension APIs, HTML, CSS, client-side storage, chart-driven UI components, and local-first workflow design focused on fast repeated use.

What I learned

This project sharpened my thinking around workflow design, structured data, and product decisions at a smaller scale. The main lesson was how much value comes from reducing friction and giving a user immediate context for the next decision.

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