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Scores job listings against your real resume, so you can see which roles are worth your time before you click. STOP OPENING JOB POSTS THAT WERE NEVER GOING TO FIT. Job Fit Filter reads job listings on LinkedIn and scores each one against the actual evidence in your resume — not just keyword overlap. WHAT IT DOES • Fit scores on every job card See a fit score directly on each visible listing, so weak matches are obvious before you click. • Set your minimum score threshold Use the minimum-score slider to set your bar. Everything below it disappears from the list. • One-click deep analysis Open a job and get a detailed breakdown of: → Where your background genuinely matches → Which must-have requirements you're missing → Which gaps are only nice-to-haves → A clear, plain-language recommendation • Add preferences in your own words Type things like "remote only" or "no crypto." Hard limits can mark a job as a miss and hide it. Softer preferences appear as notes. Your preferences never quietly change the fit score — fit and want stay separate. • Analyze a whole page at once Queue the visible listings and let Job Fit Filter work through them while you do something else. • Your analysis history is saved Previously analyzed jobs are remembered when you revisit them, so you never pay to analyze the same posting twice. WHERE IT WORKS LinkedIn job search and job detail pages. More job boards are planned. YOUR RESUME STAYS YOURS Your resume is stored on your own machine and never uploaded to our servers. • PDFs are read directly on your device • Your resume is sent to the language model only when scoring a job you're actively analyzing • No analytics • No tracking • No ads • Nothing is sold TWO WAYS TO RUN IT Bring Your Own OpenAI API Key Use your own OpenAI API key and requests go directly to OpenAI. Nothing touches our servers. Beta Invite Code Use a beta invite code and we cover the API cost, subject to a daily usage limit. BETA Job Fit Filter is an early, invite-only build that's improving quickly. Submit feedback here: https://forms.gle/STdrJv8TA95g7utz5 Submit bugs here: https://forms.gle/djscyo1Z3256VjRJ9
Aug 17, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.