3 items
Turn any job posting into a hands-on DevOps interview prep briefing on prepme.io. Turn any job posting into a personalized DevOps interview-prep plan. Open a job on LinkedIn (or use the toolbar popup on any job site), click once, and prepme.io reads the job description and generates a tailored briefing: hands-on Kubernetes/Terraform labs you actually break and fix in the browser, a whiteboard architecture round graded 0–100 against a reference solution, a mock interview that grills your own resume, real DevOps coding challenges (bash/Python/jq — not leetcode), and free AI company research (recent news, funding, culture, likely interview intel). What it does One-click prep from LinkedIn. A small prepme.io pill appears on job pages; click it and the briefing generates in place. It never sends anything until you click. Works on any job site. From the toolbar popup it grabs the description from the tab you're on (Indeed, Greenhouse, Lever, Workday, and most career pages) — or paste a JD. Tracks your applications. Jobs you've prepped show up in the popup with status, so you can mark each Accepted or Rejected as you go. Remembers what you've prepped across devices. Skills match score. Upload your resume on prepme.io and the pill shows an honest "N% skills match" for the open job. Matching runs entirely in your browser; the job text is never sent anywhere until you click Prep. Generating and viewing a briefing is free — no account needed. Running the graded practice (labs, design rounds, mock interview) is a paid subscription on prepme.io. Built for DevOps, SRE, platform, and cloud engineers.
Jul 15, 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.