Unknown author · Workflow & Planning
6 items
AI summary of any LinkedIn job post: must-haves, preferred skills & salary — plus hide companies you've applied to. Free. JobLens AI summarizes LinkedIn job descriptions while you browse — natively, inside LinkedIn's job page. No copy-pasting, no separate site. Open any job and JobLens breaks the description into structured bullets: - Must-Haves — the requirements that actually gate the role - Preferred Skills — the nice-to-haves you can weigh - General Requirements — seniority, location, logistics - Salary — surfaces pay ranges, including ones buried in the text Every point is checked against the posting's own wording before it is shown. Anything the description doesn't actually support is discarded rather than displayed. Also: - Block a company and its postings disappear from your search - Hide jobs you've already dismissed, viewed, applied to, or that are promoted — the list gets shorter as you work - Highlight your own keywords so dealbreakers stand out before you read - Clutter-free native UI — reads like part of LinkedIn, not a popup What it costs: - Free — 5 AI summaries a week with a free account. No API key needed. - Bring your own key — unlimited summaries on your own Gemini, OpenAI or Anthropic key, free. - 60-day pass — $19, includes up to 600 summaries. One-time payment: it does not renew and there is nothing to cancel. Every tier runs the same model and the same analysis. Paying buys more summaries, not better ones. How it works: browse LinkedIn jobs → open a posting → read the breakdown → decide in seconds whether it's worth applying. Privacy: JobLens reads only the job posting you're viewing. That text is sent to Google Gemini to produce the summary, or to your chosen provider if you use your own key. We don't store it. Summaries are cached in your browser for 7 days, so revisiting a job costs nothing, and we keep a count of how many you've used. Your filters and blocklist stay in your browser. Full detail: https://joblens-ai.com/privacy
Aug 12, 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.