5 items
Capture jobs from LinkedIn, Indeed, and Glassdoor - generate tailored resumes with AI 75% of resumes never reach a human recruiter. They're filtered out by Applicant Tracking Systems (ATS) that scan for specific keywords. Kwikly fixes this. HOW IT WORKS: 1. Browse LinkedIn Jobs as normal 2. Click "Save to Kwikly" on any job you like 3. Our AI analyzes the job description and tailors your resume in 60 seconds 4. Get a 90%+ ATS match score and download your optimized resume KEY FEATURES: ✓ One-Click Job Capture - Save jobs from LinkedIn with a single click ✓ AI Resume Tailoring - Transform your resume to match job requirements ✓ ATS Score Analysis - See exactly how well your resume matches (most users go from 72% → 94%) ✓ Keyword Matching - Identify missing keywords that ATS systems look for ✓ Before/After Comparison - See exactly what changed and why ✓ PDF Export - Download professional, ATS-friendly resumes WHY KWIKLY? → Save 2-3 hours per application → Apply to 10x more jobs with tailored resumes → Get 3x more interview callbacks → Built by a laid-off engineer who applied to 200+ jobs FREE PLAN INCLUDES: • Save 3 jobs per week • Tailor 2 resumes per month • Basic ATS analysis PRO PLAN ($19/month): • Unlimited job saves • Unlimited resume tailoring • Advanced keyword analysis • Cover letter generation • No watermarks on PDFs PRIVACY & SECURITY: • We only access LinkedIn job pages (not your profile) • Your resume data is encrypted • GDPR, CCPA, and DPDP Act compliant • Delete your data anytime Questions? Visit https://kwikly.me/help or https://kwikly.me/support
Mar 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.