5 items
Know your match before you apply. Chancer instantly scores your resume against job postings on LinkedIn and Handshake, showing you exactly how well you match before you apply. See your match in seconds. Click the Chancer pill on any job posting to get: - Match Score: Weak, Moderate, Good, or Strong - Skill Breakdown: Which required skills you have and which you're missing - Experience Analysis: How your years of experience align with the role - Location Match: Whether the location fits your preferences - Hard Gates: Instant feedback on deal-breakers like visa sponsorship or degree requirements Why Chancer Works Stop wasting time on applications that aren't a good fit. Chancer's deterministic scoring engine analyzes your resume against actual job requirements so you can make smarter application decisions. No guessing. No AI hallucinations. Just clear, honest feedback on your competitiveness. Your Data, Your Control Upload your resume once. Your data stays private and secure. See your complete job search history in one dashboard. Track which roles you match well for and identify patterns in your job search. Perfect For - Job seekers who want to work strategically - Career changers evaluating field fit - Anyone tired of applying to jobs they don't match - People who want transparent, honest job matching How It Works 1. Install Chancer 2. Upload your resume to your dashboard 3. Visit any job on LinkedIn or Handshake 4. Click the Chancer pill to see your instant score 5. Use insights to decide whether to apply Find roles where you're genuinely competitive. Install Chancer today.
Apr 13, 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.