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Instantly analyze any website's tech stack, effects, fonts, and hosting signals. Revengineer helps designers, builders, and frontend teams understand how a website is made without digging through DevTools from scratch. Open the side panel on any website and Revengineer scans the active page for product, motion, typography, CMS, analytics, hosting, and implementation signals. What Revengineer can show: - Builder, framework, and runtime signals that help explain how the active website is assembled. - Animation and rendering clues, including common motion libraries, canvas usage, and runtime patterns. - Visual effects such as smooth scroll, parallax, pinned sections, WebGL scenes, scroll-triggered reveals, marquee patterns, page transitions, clip-path reveals, magnetic hover, and other implementation clues. - CMS, analytics, and hosting signals based on page metadata, scripts, headers, and other observable implementation details. - Font and typography signals, including detected web font usage and provider clues. Revengineer is built for intentional use: open it when you are inspecting a specific website and want a quick technical read. Revengineer uses minimal anonymous product analytics to understand whether the extension is opened, whether analysis completes, and which high-level UI features are used. Analytics do not include website URLs, domains, page titles, page content, DOM, selectors, names of detected technologies, names of detected fonts, screenshots, or form data. Analytics are used only to improve product reliability and prioritize development.
Jun 10, 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.