https://pixelforgehub.pro/ · Workflow & Planning
5 items
Score your resume against any job posting and see the exact keywords you're missing — privately, on your own device. Application Pulse tells you — in seconds — how well your resume matches the job you're looking at, which keywords you're missing, and whether an ATS can even read your resume. Everything runs on your own device. HOW IT WORKS 1. Add your resume once (PDF, DOCX, or paste). It's saved locally. 2. Open any job posting and click "Scan this page" — or paste the description. 3. Get an instant match score plus the exact keywords to add. WHAT YOU GET • A clear 0–100 match score with keyword, hard-skill and title sub-scores • Missing keywords grouped by type, with "required" terms flagged first • An honest "ATS readability" check — what an Applicant Tracking System actually reads from your resume, with fixes for scanned PDFs, multi-column layouts and missing sections • Optional AI bullet rewrites using your own AI key — grounded in your real experience, never inventing skills • Branded PDF reports you can save or share • Works on any job board PRIVATE BY DESIGN Your resume never leaves your device. Parsing and scoring happen locally in your browser. The only network calls are an optional license check and — if you turn it on — AI rewrites sent directly to your own AI provider with your own key. FREE & PRO Try it free, then unlock unlimited scans with a one-time purchase — no subscription. Tip: only add keywords that are genuinely true for you. Application Pulse helps you surface real skills you forgot to mention — it doesn't write your resume for you.
Jun 1, 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.