4 items
Analyze job postings and get personalized interview prep, fit scores, and outreach drafts for your job search. Stop reading the same job description over and over. Joblens turns job postings into clear, actionable insights so you can decide faster whether a role is worth pursuing and how to position your experience. Joblens analyzes job postings directly in your browser and helps you understand what employers are looking for, how your background aligns, and what to focus on before applying. What Joblens Does: Extracts key details from a job posting Summarizes responsibilities, requirements, and technical skills Highlights strengths and potential gaps relative to your experience Provides application guidance and outreach suggestions Generates tailored cover letter and cold email drafts Suggests interview questions and preparation topics Personalized Insights Optionally add your professional background or resume to receive personalized analysis and recommendations. Joblens uses your information to provide more relevant guidance and fit assessments. Why Use Joblens Job searching often involves reading lengthy descriptions, interpreting requirements, researching companies, and repeatedly tailoring application materials. Joblens streamlines that process by organizing important information into a clear, structured format so you can focus on finding the right opportunities. How It Works 1. Open a supported job posting 2. Launch Joblens 3. Analyze the role 4. Review insights and recommendations 5. Generate tailored application materials and interview preparation guidance Spend less time decoding job postings and more time applying to the opportunities that fit you best.
Jul 14, 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.