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Analyze any job listing against your profile. Get an instant fit score, skill gaps, and an AI summary — before you apply. Blujae - AI Job Analyzer Know if a job is worth your time before you apply. Blujae analyzes any job listing against your profile in real time — giving job seekers an instant fit score, skill gap breakdown, and AI-written summary so you can focus your job search on roles that actually match. HOW IT WORKS 🚀 Set up your profile once — skills, experience, work preferences, education, and target roles. Then browse jobs as normal. When you're ready to evaluate a listing, click the Blujae button and get a full breakdown in a side panel. No copy-pasting. No tab-switching. WHAT YOU GET 🙌 • Skills match score with gap detection • Level Fit score based on your experience vs. the role's requirements • Work Style score that respects your remote, hybrid, or onsite preference • AI-written summary of your positioning for the specific role • Red flags and hard blockers (missing credentials, over-qualification, role conflicts) • Apply confidence rating: Strong Apply, Apply, Consider, or Skip BUILT WITH PRIVACY IN MIND 🕵️♀️ Your profile is stored locally on your device. Data is only sent to our backend when you trigger a scan, solely to generate your analysis. No tracking. No IP logging. WHAT'S NEW IN v1.0.6 🆕 • Fixed an issue where sidebar market data was being pulled into the job analysis • Improved job listing content extraction accuracy across multiple job boards
Apr 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.