5 items
Stop applying, start landing. Auto-fill your Workday, Greenhouse, Lever & Ashby applications. You review every answer first. Stop retyping your resume. Start landing interviews. Open Applier auto-fills every field of every job application in seconds. You review. You submit. Always. Built by Abheek Pradhan, Aayush Baniya, and Armaan Amatya, three developers who spent hundreds of hours filling the same fields across dozens of platforms and got tired of it. HOW IT WORKS Upload your resume once Visit any supported job listing Click "Open Applier" and your resume is tailored to the job description instantly Every field fills: name, experience, education, skills, EEO, work auth Review everything in a live sidebar You click Submit SUPPORTED PLATFORMS ✅ Workday (myworkdayjobs.com) including multi-step forms and account creation ✅ Greenhouse (boards.greenhouse.io) ✅ Lever (lever.co) ✅ Ashby (ashbyhq.com) More platforms on the way. Request one from the sidebar. FREE Auto-fill on all supported platforms Up to 3 stored resumes, switchable per application Keyword Match: score your resume against any job description in real time AI Q&A Memory: remembers your answers so you never retype them PRO One-click resume tailoring with rewritten bullets and skills matched to each job Application History: every application centralized, reviewable, and exportable PRIVACY Activates only on supported job sites Encrypted in transit and at rest No keylogging, no browsing history, no silent data sharing Delete everything anytime at openapplier.com/privacy Apply smarter. Apply faster. Get more interviews.
Jun 30, 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.