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Clip any job description and tailor your Zesume.ai resume to it in one click. Zesume Clipper is your all-in-one career assistant that clips job descriptions from any webpage, tailors your resume to beat ATS filters, and auto-applies to startup roles on autopilot. KEY FEATURES: - One-Click Job Description Clipper: Automatically extract role titles, company names, and full requirements from job postings across the web. - Instant AI Resume Tailoring: Match your skills and achievements to specific job description keywords in seconds directly from your browser. - Wellfound Auto-Apply: Automate startup job applications on Wellfound (AngelList) with intelligent screening question responses. - ATS Match Scoring: View live match scores and keyword suggestions before submitting your application. - Seamless Zesume Integration: Sync directly with your Zesume.in account, existing resumes, and credit balance without needing separate API keys. HOW TO USE: 1. Sign in to your account at zesume.in. 2. Open any job posting on Wellfound, LinkedIn, Indeed, or any company careers page. 3. Click the Zesume Clipper icon in your Chrome toolbar to open the side panel. 4. Click "Tailor my resume to this job" to generate an ATS-optimized CV, or configure Auto-Apply to apply on autopilot. PRIVACY & SECURITY: Your personal information and resumes remain private. Zesume Clipper communicates securely over HTTPS with your authenticated Zesume account session. We do not sell your personal data or browsing history to third parties. SUPPORT & FEEDBACK: Need help or have suggestions? Contact our team at ekanshrajput1607@gmail.com or visit https://www.zesume.in.
Sep 16, 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.