Publishing my own performance numbers, live
Most consultants will audit your Core Web Vitals and never show you theirs. This board measures the session you are in right now, in your browser, on your network, on your device. Nothing is cached, sampled, or flattering.
LCP waiting
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Largest Contentful Paint. When the main thing you came for actually appeared.
INP waiting
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Interaction to Next Paint. Click something below and watch it populate.
CLS waiting
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Cumulative Layout Shift. Unitless. Trigger one deliberately below.
TTFB waiting
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Time to First Byte. Edge cache behaviour, before any rendering starts.
FCP waiting
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First Contentful Paint. The first pixel of real content, not a spinner.
Long tasks waiting
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Main thread blocks over 50ms. The reason a page can feel slow while scoring fast.
Make the numbers move
INP only reports once you interact, and CLS only accumulates when something moves. Both buttons below cause a real, measurable event. Nothing is faked and nothing is sent anywhere.
Everything above is measured client side with PerformanceObserver and PerformanceNavigationTiming. There is no vendor script, no cookie, and no network call. Field data from a real RUM pipeline would aggregate this same signal at p75 across a 28 day window, which is the number Google actually uses for ranking eligibility.
Lab data is not field data
A Lighthouse run is a single synthetic load on a simulated device. Chrome User Experience Report is the seventy fifth percentile of real sessions over twenty eight days. They disagree constantly, and only one of them is what search actually scores.
p75, not average
An average hides the tail. The p75 rule means one in four of your users can be having a bad time before the number moves at all.
Per origin and per URL
Low traffic URLs fall back to the origin level score, so a slow template can quietly drag a fast page down with it.
INP replaced FID for a reason
FID measured only the first input delay. INP measures the worst full interaction latency, which is far closer to how a page actually feels.