5 items
Sharpen your CV for the roles you can win. Skip the ones you can't. Stop spraying applications into the void. Bluntly reads any job listing you're looking at, scores how well it fits your CV, and tells you the truth — fast. Open a role on LinkedIn, Greenhouse, Lever, Indeed, a company careers page, anywhere. Click the Bluntly badge and you get: • A 0–100 fit score and a clear verdict — apply, apply with edits, or don't bother. • The real reasons behind the score, grounded in your actual CV and the listing. • Exactly what to ADD and what to CUT on your CV to fit this specific role. • Honesty, not hype. If you're not a fit, Bluntly says so — so you spend your energy on roles you can actually win. HOW IT WORKS 1. Add your CV once (paste it or drop in a PDF). 2. Open any job listing and click the Bluntly badge. 3. Get an instant, honest read on your fit and how to sharpen your application. FREE • 5 honest scorings per day. • Full reasons and add/cut CV feedback. • Works on any job site. PRO • Unlimited scorings. • Tailored cover letters written from your CV for the specific role. • Save jobs with their score and feedback to revisit anytime. Your CV and email are stored securely to your account and used only to generate your results. We don't sell your data or use it for ads. See our privacy policy for details. Built by AEA Solutions Ltd. Questions or feedback: help@moth.solutions
Aug 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.