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Read the job description on the page and generate a tailored, ATS-optimized resume in one click. Hackats tailors your resume to the exact job you're viewing - without leaving the page. Most job postings are screened by ATS (applicant tracking systems) that rank resumes by how well they match the job description. Sending the same resume everywhere gets you filtered out. Hackats fixes that: it reads the job description on the current page and generates a tailored, ATS-optimized version of your resume in one click. HOW IT WORKS 1. Sign in with Google and add your master resume once (on hackats.com). 2. Open any job posting (LinkedIn, Indeed, Greenhouse, company career pages…). 3. Click the Hackats icon - it captures the job description from the page. 4. Get a tailored resume with a higher ATS match score, ready to download as a clean PDF. WHAT YOU GET • One-click tailoring from any job page • A before → after ATS match score so you can see the improvement • Truthful optimization - it reorders and rephrases your real experience to match the job's keywords; it never invents experience you don't have • Clean, ATS-safe PDF export • Cover letters and LinkedIn profile optimization on hackats.com PRIVACY Hackats reads the job description from the active tab only when you click the button. Your resume and the job text are sent to our servers (and AI providers) to generate your documents. We don't sell your data. Full policy: hackats.com/privacy Requires a free Hackats account (sign in with Google).
Sep 24, 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.