5 items
Save jobs from any job board with one click. Detect ghost jobs and track your applications. Career Orchestrator turns any job listing into a tracked, ready-to-apply opportunity — without copy-pasting. Browsing LinkedIn, Indeed, Glassdoor, or ZipRecruiter? One click saves the role straight into your Career Orchestrator pipeline, and an authenticity badge flags likely "ghost jobs" so you don't waste effort on roles that were never really open. WHAT YOU CAN DO • Save any job with one click — its title, company, and description are captured into your pipeline. • See a Ghost Job authenticity score right on the listing, so you can tell genuine openings from stale or fake ones. • Keep every application organised in one pipeline (Wishlist → Applied → Interviewing → Offer). • Stay signed in to your Career Orchestrator account so saving is instant. HOW IT WORKS Sign in to your account at careerorch.com, then browse job boards as usual. The extension adds a Save button and a ghost-job badge to job pages on the supported sites. Saved jobs sync to your account, where you can tailor your CV, generate a cover letter, and track your progress. PRIVACY The extension runs only on the job boards it supports and on careerorch.com. It stores your sign-in token locally so you stay logged in, and it sends a job's details to your own Career Orchestrator account only when you choose to save it. It does not track your browsing. Privacy policy: https://www.careerorch.com/extension-privacy Career Orchestrator is a free companion to the Career Orchestrator web app (careerorch.com).
Jul 26, 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.