Lab data: Lighthouse 13.4.1 desktop run, graded above · Reproduce this run on PageSpeed Insights ↗ · Mobile: 48 (F) —
Why is this different from the score in my browser?
The graded score is the desktop run. Lighthouse 13.4.1 runs at Google through the PageSpeed Insights API on a desktop profile with no CPU or network throttling — close to what Chrome DevTools on a laptop, GTmetrix's default test and the PageSpeed API (which defaults to desktop) all measure, so this is the number you should be able to reproduce: run it yourself on PageSpeed Insights.
Google ranks on mobile. That run happens too, on an emulated mid-range Android with a 4× CPU slowdown and a throttled connection, and the same page routinely scores 30–50 points lower there. Neither number is wrong — they are different tests. On this page the mobile run scored 48 (F) against 68 (D) here — to see every check graded on that run.
Lighthouse also varies a few points run to run on the same URL. Treat a trend across several scans as the signal, never a single digit.
Lab data: Google PageSpeed Insights (Lighthouse, desktop). Server probes (TTFB, compression, cache, headers) are measured separately from Vilnius, Lithuania (EU).
Lab data: Lighthouse 13.4.1 mobile run, graded above · Reproduce this run on PageSpeed Insights ↗ · Desktop: 68 (D) —
Why is this different from the score in my browser?
This view grades the mobile run. Lighthouse 13.4.1 runs at Google through the PageSpeed Insights API on an emulated mid-range Android with a 4× CPU slowdown and a throttled connection. Chrome DevTools on your own machine, on the Desktop preset, applies almost none of that, and the same page routinely scores 30–50 points higher there. Neither number is wrong — they are different tests.
Mobile is what Google ranks on, so this is the number that affects your
search performance. On this page the desktop run scored 68 (D) against
48 (F) here —
to see every check graded on that run. To reproduce it, open the same run on PageSpeed Insights,
or pass strategy=mobile to the PageSpeed API — it defaults to desktop.
Lighthouse also varies a few points run to run on the same URL. Treat a trend across several scans as the signal, never a single digit.
Lab data: Google PageSpeed Insights (Lighthouse, mobile). Server probes (TTFB, compression, cache, headers) are measured separately from Vilnius, Lithuania (EU).
Lovable what actually works on this platform
Lovable apps run as Cloudflare Workers, and the platform rewrites Cache-Control after your code returns. The usual caching advice does not apply — these are the fixes that do.
- Served from the platform edge with no-cache on the HTML — the expected fingerprint, and not something a header change can fix.
- A crawler reads about 49 characters of text from your HTML — thin enough that search engines and AI assistants see close to a blank page.
- Time to first byte measured 294ms on this run — one sample, so treat it as a hypothesis and re-run six times before acting.
- Measure first, six runs, take the median. A cold worker isolate inflates the first request on almost every Lovable site — often 4-5x the median. One request, or an average that includes run 1, invents a problem that is not there.
- Do not try to fix this with Cache-Control headers. Lovable runs apps as dynamically-loaded Cloudflare Workers. The hosting layer rewrites Cache-Control after your worker returns, and the Cache API throws. Any header-level fix is discarded — the win has to come from inside the application.
- Find out which stack the project is. TanStack Start (server-rendered, has src/routes/) and Vite React SPA (client-rendered, has src/App.tsx) have different problems and different fixes. This cannot be told from the outside — the response headers are byte-identical — so check the repo before changing anything.
- Give crawlers something to read. Put each route's real content in the initial HTML, route-appropriate rather than a copy of the homepage. Emitting it into the shared shell instead makes every other route pay for content only one page needs, which shows up as every route converging on one identical time.
- If TanStack Start: cache the render in two tiers. An in-isolate LRU alone hits about 1 request in 6, because traffic spreads across isolates that do not share memory. Put a shared store (KV, or a table keyed on URL) behind it and the hit rate goes to roughly 7-8 in 8. Emit an x-app-cache: HIT-MEMORY|HIT-SHARED|MISS header while you measure — a HIT that is still slow proves the cost is cold start, not the cache.
- If Vite SPA: the bundle is the cost, not the server. TTFB is usually fine; what feels slow is downloading, parsing and executing JavaScript before anything appears. Split routes with lazy imports, prefetch the chunk on hover, and measure the JS transferred before first paint rather than TTFB.
- Never cache an authenticated route. Serving one visitor a page rendered for another is far worse than a slow site. Keep /admin, /profile and anything carrying credentials off the cache, and verify a logged-out fetch renders the signed-out view before you enable public caching.
- Press Publish. Lovable syncs code to git automatically but does NOT deploy. Production keeps serving the previous build until someone presses Publish — this is the most common reason a real fix looks like it did nothing.
The full instruction set, and a machine-readable copy of this report, live at trackmyinfluencer.com.md — paste that URL into your AI builder's chat and it can work straight from these measurements.
Top fixes ranked by points recovered · desktop
Top fixes ranked by points recovered · mobile
This is a Lovable site — act on the report with your AI assistant
- ✓Platform detectedLovable — every check below links the official guideline for the fix in this stack.
- →Act on it with your AIThe machine-readable twin of this report gives an agent every failing check with its evidence, remediation and guideline link.
- →Check the originHosting sets the floor on TTFB. xCloud hosts any stack — agent/MCP access built in, bring-your-own-server pricing.
xSpeed is a WordPress plugin, so it can't automate Lovable fixes — and that's fine. Every check below links its official guideline, and the machine-readable twin of this report gives an AI everything it needs to plan the work (9 checks name a concrete remediation):
Read the speed report at https://xspeedcache.com/scan/r/trackmyinfluencer-com-b6be859e8a.md — it lists every failing check with evidence and the official guideline for the fix. Produce a prioritized fix plan for my Lovable site, apply what you can, then re-test by POSTing {"url":"https://trackmyinfluencer.com/"} to https://xspeedcache.com/api/scan and compare the scores.Run this scan without the form
Plug xSpeed Scan into your agent stack, or test any site from a chat.
Connect this scanner to your AI assistant
Free. No API key, no sign-up. Scan any public site and get the same graded report as this one, with the fix for every failing check.
Endpoint
https://xspeedcache.com/scan/mcpClaude Code — one command
claude mcp add --transport http xspeed-scan https://xspeedcache.com/scan/mcpClaude Desktop, Cursor, or any MCP client — add to your config
{
"mcpServers": {
"xspeed-scan": {
"type": "http",
"url": "https://xspeedcache.com/scan/mcp"
}
}
}run_speed_scanScan any public URL and return this whole graded report.get_speed_scanRead a scan already run, by its id.
Core Web Vitals & lab metrics
4/5 checks passed · 36.9/40 pts earnedAI prompt
Using my site's xSpeed MCP connection: run optimize_site, then run_benchmark to verify the score improved.Server response & caching
2/6 checks passed · 13.5/27 pts earnedAI prompt
Using my site's xSpeed MCP connection: enable page caching and warm this page with the preloader, then re-check TTFB.AI prompt
Using my site's xSpeed MCP connection: enable page caching, start the preloader so pages are pre-warmed, and confirm get_cache_status reports hits.AI prompt
Using my site's xSpeed MCP connection: enable browser-cache headers for static assets, then re-run the audit.AI prompt
Using my site's xSpeed MCP connection: connect Cloudflare (or configure the CDN rewriter) and purge, then re-scan.Asset optimization
1/5 checks passed · 6/16 pts earnedAI prompt
Using my site's xSpeed MCP connection: generate critical CSS for the top pages and enable unused-CSS removal, then re-test.AI prompt
Using my site's xSpeed MCP connection: enable WebP/AVIF conversion with URL rewriting, then re-test image audits.AI prompt
Using my site's xSpeed MCP connection: preload the LCP image for this page and exclude it from lazy loading, then re-test LCP.AI prompt
Using my site's xSpeed MCP connection: enable minification and lazy loading (and image conversion on Pro), then re-check page weight.Core Web Vitals & lab metrics
2/5 checks passed · 20.1/40 pts earnedAI prompt
Using my site's xSpeed MCP connection: run optimize_site, then run_benchmark to verify the score improved.AI prompt
Using my site's xSpeed MCP connection: enable page caching, start the preloader, and (on Pro) generate critical CSS for this page; then re-test LCP.AI prompt
Using my site's xSpeed MCP connection: enable page caching and CSS minification, then re-test First Contentful Paint.Server response & caching
2/6 checks passed · 13.5/27 pts earnedAI prompt
Using my site's xSpeed MCP connection: enable page caching and warm this page with the preloader, then re-check TTFB.AI prompt
Using my site's xSpeed MCP connection: enable page caching, start the preloader so pages are pre-warmed, and confirm get_cache_status reports hits.AI prompt
Using my site's xSpeed MCP connection: enable browser-cache headers for static assets, then re-run the audit.AI prompt
Using my site's xSpeed MCP connection: connect Cloudflare (or configure the CDN rewriter) and purge, then re-scan.Asset optimization
1/5 checks passed · 6/16 pts earnedAI prompt
Using my site's xSpeed MCP connection: generate critical CSS for the top pages and enable unused-CSS removal, then re-test.AI prompt
Using my site's xSpeed MCP connection: enable WebP/AVIF conversion with URL rewriting, then re-test image audits.AI prompt
Using my site's xSpeed MCP connection: preload the LCP image for this page and exclude it from lazy loading, then re-test LCP.AI prompt
Using my site's xSpeed MCP connection: enable minification and lazy loading (and image conversion on Pro), then re-check page weight.