5 items
Stop retyping. Start reviewing. Autofill Workday, Greenhouse & more. AI drafts answers, you review then submit. VeloApply is an AI job application autofill tool. It fills out the form for you and drafts answers to the screening questions, so you apply faster and stay in control. Fill an application in one click. VeloApply reads the form and enters your contact details, work history, and the common fields, then drafts answers to screening questions for you to review. Every drafted answer is highlighted, and nothing is ever submitted automatically. You review, edit, and press submit yourself. Why job seekers use VeloApply: - One-click autofill, so you stop retyping the same details on every form. - AI answers for screening questions, dropdowns, radio buttons, checkboxes, and consent fields, including multi-step forms. - Review before submit: every answer is highlighted so you can check and edit it first. - Remembered answers, so repeat questions fill instantly next time. - Works across major applicant tracking systems (ATS) such as Workday and Greenhouse, and on many company career sites. How it works: 1. Set up your profile once, or import it from your resume. 2. Open an application and click VeloApply to fill it. 3. Review the highlighted answers, edit anything, and submit yourself. VeloApply never auto-submits. You always review and approve first. Free to install, with a free allowance of AI-tailored applications and paid plans for higher daily limits.
Aug 19, 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.