5 items
Privacy-first job page saver and application tracker. Local-only: no account, no backend, no tracking. ApplyStack helps you save job pages and track your applications directly in your browser. Job hunting gets messy fast. Roles are spread across company websites, job boards, LinkedIn, charity pages, public sector portals, university pages and recruitment sites. ApplyStack gives you a simple local workspace for saving opportunities and keeping track of where you are in each application. What ApplyStack does: • Save job pages from your browser • Store key job details in one place • Track application status, such as saved, applying, applied, interview or rejected • Add notes for deadlines, requirements, salary, location or follow-up actions • Keep your job search organised without needing an account Privacy-first by design: • No account required • No backend server • No tracking • No ads • No analytics • No selling data • Your saved jobs stay on your device ApplyStack is designed for students, graduates, career changers and anyone applying to multiple roles across different websites. Instead of losing job links in bookmarks, notes apps or random tabs, you can build a simple application pipeline inside your browser. Typical uses: • Save a job before applying later • Track applications across different job boards • Keep notes on deadlines and required documents • Remember which roles you have already applied to • Avoid opening dozens of old tabs just to find one application page again ApplyStack is intentionally lightweight. It focuses on one job: helping you organise your job search while keeping your data local and private.
Jun 15, 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.