4 items
AI-powered job analysis, cover letter generation, and resume tailoring Vektor helps job seekers analyze job descriptions with AI, generate tailored cover letters, and get resume optimization suggestions — all without leaving the job listing page. Key Features: - One-click JD Analysis: Instantly extract and analyze job descriptions on supported platforms - Match Scoring: See how well your resume matches job requirements with a detailed breakdown - Cover Letter Generation: Auto-generate formal cover letters based on JD + your resume - Resume Tailoring: Get specific suggestions on skills to add, bullets to modify, and keywords to include - Job Tracker: Save, organize, and track your job applications with a built-in kanban board - Sync to Vektor App: Push analysis results to the Vektor web app for resume editing - Bilingual Support: Full English and Chinese interface Supported Platforms: - LinkedIn - Indeed - JobsDB - CTgoodjobs - Boss Zhipin How It Works: 1. Visit any supported job listing page 2. Click "Analyze" on the floating Vektor card 3. Review match score, missing skills, and ATS keywords 4. Save the job to generate a cover letter and resume suggestions 5. Sync results to Vektor web app to apply changes to your resume Privacy: - Only activates on supported job sites - No browsing data collected outside of job pages - Job data stored locally in your browser - Server communication only when you explicitly trigger analysis or sync Requires a free Vektor account (vektor.up.railway.app).
Mar 10, 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.