PlanetScale is a serverless MySQL platform built on Vitess (the database-sharding technology originally built at YouTube), offering non-blocking schema migrations via database branching — used by teams that want MySQL's ecosystem compatibility with a modern, horizontally scalable managed backend. Our engine detects PlanetScale through 1 script pattern and 1 HTML pattern tied to its client-tooling conventions; like most managed databases its footprint is primarily backend-side with minimal front-end signal. Documented at planetscale.com.
Enter any URL to check if it was built with PlanetScale. Instant results, no account required.
How we detect PlanetScale — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
Script Patterns
1 patterns
HTML Patterns
1 patterns
Open the website in your browser, right-click, and select "View Page Source". Search for planetscale-specific patterns in the HTML.
Check the Network tab in DevTools for JavaScript files loaded from PlanetScale domains.
Our automated scanner checks all these signals at once and gives you an instant confidence score. Just enter any URL above.
You can detect if any website was built with PlanetScale by using our free scanner above. Just enter the URL and we'll analyze HTML patterns, JavaScript files, CDN domains, and HTTP headers to determine if PlanetScale was used — with a confidence score.
There are several ways to detect PlanetScale: (1) View the page source and look for PlanetScale-specific class names or script URLs, (2) Check the Network tab in DevTools for requests to PlanetScale CDN domains, (3) Use our free tool — we check 2 detection signals automatically.
PlanetScale is used by thousands of websites worldwide. Our scanner has detected many PlanetScale-built sites across different industries. You can scan any URL to check if it uses PlanetScale.
Our PlanetScale detection engine checks 2 unique fingerprint signals, achieving high confidence results. We score each match and return a confidence percentage so you know how certain the detection is.
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