Website Speed Test from Seattle, USA

Why the test location changes the answer

A page speed test never describes your site in general. It describes one specific journey: from one browser, over one network path, to the server or edge location that answers the request. Move the starting point and parts of that journey change, sometimes by a little and sometimes by enough to change what you investigate next.

Seattle is useful because it gives you a western United States vantage point that is geographically distinct from Latixo's Virginia Browser Node. It is also a practical Pacific-facing comparison point when you want to compare a North American run with a run from Asia-Pacific.

Latixo runs a live Browser Node in Seattle. A test from that node loads your page in a real Chromium browser on that machine. It is not a local result with an artificial location label applied afterward.

What runs on the Seattle Browser Node

The Seattle node is one of Latixo's eight live production locations. The Browser Node stack uses Node.js, Playwright and Chromium, consistent with the other live regions: Virginia, Nuremberg, Tokyo, Singapore, São Paulo, Beijing and Sydney.

When you start a test, Chromium opens in an isolated browser context and navigates to the submitted public URL. JavaScript runs, stylesheets and fonts load according to the page, third-party requests can fire, and the visible first viewport is captured as part of that browser run.

• Desktop1366 × 768 viewport, DPR 1, native node CPU and native node network.
• Mobile390 × 844 viewport, DPR 3, 4× CPU slowdown, 1.6 Mbps down / 750 Kbps up / 150 ms latency.
• ScreenshotA WebP capture of the tested viewport is returned when the run completes successfully.
• Loading ReplayA WebM recording lets you watch the visible loading process from that run.

What the current Latixo report shows

Latixo's current Website Speed Test is intentionally compact. The public result focuses on the measurements and artifacts that are available in the production interface today rather than presenting every browser timing entry as a separate metric.

TTFB

Time to First Byte is measured from the start of navigation to the browser's responseStart. It includes more than geographic distance: the route to the responding server or edge, connection setup, server processing and the first part of the response path can all contribute. Comparing repeated Seattle and Virginia runs can help you see whether location is associated with a persistent difference, but it does not by itself isolate server processing from network time.

Total load time and page weight

Total load time is based on the browser's load event for that run. Page weight is derived from encoded response bytes observed during the capture window. These are lab measurements from one controlled browser load, not Core Web Vitals or field percentiles.

Request count, status and protocol

The result shows the number of network requests observed during the run, together with the main document's HTTP status, protocol and content type. The standard Website Speed Test does not currently expose a full per-request waterfall or a separate public DNS/TLS breakdown, so those details should not be inferred from fields that are not shown.

Screenshot and loading replay

The final screenshot shows the captured browser viewport, while the Loading Replay records how that viewport changed during the test. The replay is useful when a numeric load time does not fully explain what was visible on screen while the page was loading.

Reading Seattle against an East Coast result

The most direct U.S. comparison is Seattle versus Virginia. Use the same URL and the same Desktop or Mobile profile on both runs. Geographic network position is then one important changed variable, while cache state, server load, CDN behavior and transient network conditions can still vary between runs.

Long-distance paths also have a physical propagation floor. Light travels more slowly through optical fiber than in a vacuum, and real fiber routes are not straight lines. You cannot optimize that propagation delay away, but you can reduce avoidable round trips and improve where content is served from.

• If Seattle and Virginia are close across repeated runs, the selected location is not producing a large difference in those tests. That does not, by itself, prove that both requests were served from nearby edge nodes.
• If Seattle remains materially slower, investigate the delivery path, CDN coverage, origin placement and whether the tested page behaves differently at the two locations.
• If the difference appears only occasionally, repeat the comparison before treating it as a stable geographic effect.

Seattle as a Pacific-facing vantage point

Seattle provides a western U.S. starting point for comparisons with Asia-Pacific locations. It should not be treated as a measurement of any specific trans-Pacific cable route or as a substitute for testing from the region where your users actually are.

If you serve users in both North America and Japan, run the same URL from Seattle and from Tokyo. A persistent difference tells you that geography and delivery conditions are affecting the two controlled runs, but the result alone cannot prove whether the cause is a particular submarine path, CDN edge decision or origin route.

Where a single Seattle test can mislead you

A location test is a lab measurement. It describes one browser, on one Browser Node, using one Test Profile, at one moment. A user on a residential or cellular network elsewhere in the Pacific Northwest can experience something different.

Lab data and field data answer different questions. A controlled Latixo run is useful for repeating the same test conditions and comparing changes. Real-user field data captures the distribution of actual devices, networks and sessions over time. Use both when a performance decision matters.

A single run also has variance. Cache state, a cold origin, third-party services and temporary congestion can move the result. Before acting on a Seattle-versus-Virginia difference, confirm that it persists across repeated runs.

Third-party behavior still counts. If an analytics, advertising or embedded service slows the tested page, that is part of what the browser experienced even when the fix belongs in loading strategy rather than your own server.

A practical sequence for testing from Seattle

1. Start with the page that matters most to users or the business, not automatically the homepage.
2. Choose Seattle and a Test Profile. For Desktop, review TTFB, total load time, page weight and request count, then inspect the screenshot and Loading Replay.
3. Run the same URL with the same profile from Virginia. Look for differences that persist across more than one run.
4. If you also serve Asia-Pacific users, repeat the comparison from Tokyo rather than inferring Asian performance from Seattle.
5. After making a change, use Test again from the same location and profile so the comparison remains as controlled as possible.