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Performance

· 17 checks — Lighthouse + waterfall + sustainability rolled into one auditable list.
SCORE
80
GRADE
B
FIX
2
REVIEW
5
PASS
8
INFO
2

Performance-focused optimization plan with CWV assessment, top offenders, and time estimates

Mobile Desktop
54
Performance Overall performance score (0–100) based on Core Web Vitals and other metrics. 90+ is good.
100
Accessibility Measures how accessible the page is for users with disabilities. Checks color contrast, ARIA labels, and semantic HTML.
81
Best Practices Checks for modern web development best practices including HTTPS, no console errors, and secure JavaScript.
100
SEO Measures basic SEO optimizations: meta tags, crawlability, link text, and mobile friendliness.

First Contentful Paint First Contentful Paint — how long until the browser renders the first piece of content. Under 1.8s is good.

6.93 s

Largest Contentful Paint Largest Contentful Paint — how long until the largest visible element loads. Under 2.5s is good.

12.92 s

Total Blocking Time Total Blocking Time — total time the main thread was blocked, preventing user input. Under 200ms is good.

190 ms

Cumulative Layout Shift Cumulative Layout Shift — measures visual stability. How much the page layout shifts during loading. Under 0.1 is good.

0.000

Speed Index Speed Index — how quickly content is visually displayed during load. Under 3.4s is good.

9.27 s

Time to Interactive Time to Interactive — how long until the page is fully interactive and responds to user input. Under 3.8s is good.

13.13 s

Page Load Progression

471 ms
942 ms
1.4 s
1.9 s
2.4 s
2.8 s
3.3 s
3.8 s
Checks
17
8 PASS 5 REVIEW 2 FIX
D
JS Execution Cost
Action
2504ms total JS execution
FIX
2504ms total JS execution
Warning::
https://securepubads.g.doubleclick.net/pagead/mana...: 527ms CPU time
Warning::
Unattributable: 493ms CPU time
Info::
https://cdn-cookieyes.com/client_data/291af792ab94...: 236ms CPU time
Info::
https://h030.towardsdatascience.com/script.js: 228ms CPU time
Info::
https://towardsdatascience.com/: 221ms CPU time
Warning::
Third-party scripts: 2146ms (86% of total)

Main Thread Breakdown

Script Evaluation 55% Other 17% Style & Layout 15% Script Parsing & Compilation 7%
ScriptTotalScriptingParse/CompileParty
https://securepubads.g.doubleclick.net/pagead/managed/js/gpt/m202604170101/pubads_impl.js?cb=31097946527ms448ms42ms3rd
Unattributable493ms75ms0ms3rd
https://cdn-cookieyes.com/client_data/291af792ab94792a114ad850408e1376/banner.js236ms161ms2ms3rd
https://h030.towardsdatascience.com/script.js228ms190ms10ms3rd
https://towardsdatascience.com/221ms17ms4ms1st
https://scripts.simpleanalyticscdn.com/latest.js164ms16ms1ms3rd
https://www.googletagmanager.com/gtag/js?id=G-3XH4NJPYQ3&cx=c&gtm=4e64h1147ms112ms34ms3rd
https://towardsdatascience.com/wp-content/plugins/tds-plugin/dist/js/ad-manager.js?ver=c9a02b48344f6964179a138ms57ms1ms1st
https://www.googletagmanager.com/gtm.js?id=GTM-NDXD39TW126ms98ms27ms3rd
https://js.hscollectedforms.net/collectedforms.js100ms68ms5ms3rd

Showing top 10 of 12 scripts

D
Page Weight Inventory
Action
97 resources · 1.9 MB · 295 KB savings available
FIX
97 resources · 1.9 MB · 295 KB savings available
Warning::
Page weight 883 KB over 1MB target
Got: 1.9 MB Expected: ≤ 1 MB
Info::
~295 KB of savings available
Warning::
60 third-party resources (52% of weight)
97 resources · 1.9 MiB · 60 third-party 882.6 KiB over 1MB target
JavaScript 47% · 887.5 KiB
Image 29% · 561.5 KiB
Font 15% · 288.9 KiB
Document 4% · 79.1 KiB
Other 4% · 78.3 KiB
CSS 1% · 11.2 KiB

~294.6 KiB of savings available

Remove unused JavaScript: 294.6 KiB
C
Page Weight Budget
Action
1.9 MB transferred, 97 requests
REVIEW
1.9 MB transferred, 97 requests
Info::
Page weighs 4.3 MB (1.9 MB transferred)
Warning::
JavaScript is 888 KB — consider code splitting or lazy loading
Large JavaScript bundles delay interactivity. Split code by route or defer non-critical scripts.
Got: 888 KB
Info::
Fonts are 289 KB — consider subsetting or using system fonts
Subset fonts to include only used characters, or switch to system font stacks.
Got: 289 KB
Info::
97 HTTP requests
Info::
Estimated 0.39 g CO2 per page load
1.9 MB / 2.4 MB budget
1.9 MB transferred
97 requests
0.39 g CO2 per page load
JavaScript 887.5 KiB 47%
Images 560.6 KiB 29%
Fonts 288.9 KiB 15%
Other 65.3 KiB 3%
HTML 43.6 KiB 2%
Other 25.1 KiB 1%
Other 24.1 KiB 1%
CSS 11.2 KiB 1%
Other 260 B 0%
Other 0 B 0%
0 2.4 MB 4.9 MB
Approaching limit

Large JavaScript bundles delay interactivity. Split code by route or defer non-critical scripts.

Why this matters

JavaScript bundle is large — code-split routes and lazy-load off-screen components to defer.

Source: web.dev

Subset fonts to include only used characters, or switch to system font stacks.

Why this matters

Font payload is large — subset to used glyphs only, or fall back to system fonts (zero load time).

Source: web.dev font loading

B
Third-Party Impact
52% third-party, 0 ms blocking
REVIEW
52% third-party, 0 ms blocking
Warning::
Third-party code accounts for 52% of page weight (988.9 KiB of 1.9 MiB)
Info::
Third-party blocking time is low (0 ms)
48%
52%
First-party Third-party
B
Image Optimization
21 images, 0 KB saveable
REVIEW
21 images, 0 KB saveable
Info::
All images are well-optimized
21 images 561 KB
0 oversized -0 KB
20 legacy format
0 missing dimensions CLS risk
C
JS Bundles
Action
36 scripts, 295 KB unused
REVIEW
36 scripts, 295 KB unused
Warning::
https://securepubads.g.doubleclick.net/pagead/mana...: 98 KB unused (52%)
Consider code splitting or tree shaking to reduce unused code.
Warning::
https://www.googletagmanager.com/gtag/js?id=G-3XH4...: 61 KB unused (39%)
Consider code splitting or tree shaking to reduce unused code.
Warning::
https://www.googletagmanager.com/gtm.js?id=GTM-NDX...: 60 KB unused (51%)
Consider code splitting or tree shaking to reduce unused code.
Warning::
https://h030.towardsdatascience.com/plugin/library...: 33 KB unused (81%)
Consider code splitting or tree shaking to reduce unused code.
Warning::
https://h030.towardsdatascience.com/plugin/plugin/...: 22 KB unused (70%)
Consider code splitting or tree shaking to reduce unused code.
Info::
Total unused JavaScript: 295 KB
295 KB unused JavaScript

Downloaded but never executed on this page.

ScriptSizeUnusedMinifiedParty
https://securepubads.g.doubleclick.net/pagead/managed/js/gpt/m202604170101/pubads_impl.js?cb=31097946187 KB98 KB (52%)✓3rd
https://www.googletagmanager.com/gtag/js?id=G-3XH4NJPYQ3&cx=c&gtm=4e64h1159 KB61 KB (39%)✓3rd
https://www.googletagmanager.com/gtm.js?id=GTM-NDXD39TW119 KB60 KB (51%)✓3rd
https://h030.towardsdatascience.com/plugin/library/7cca1e1e3b698c80920cd851b1480f5441 KB33 KB (81%)✓3rd
https://h030.towardsdatascience.com/plugin/plugin/dd57986da60b4d6466f09420824e2e8732 KB22 KB (70%)✓3rd
https://cdn.insightmediagroup.io/imgjs/v1/imgjs-v1.js?ver=177680857928 KB21 KB (77%)✗3rd
https://insightmediagroup.blueconic.net/DG/DEFAULT/cs?&callback=bc_json1591 KB—✓3rd
https://cdn-cookieyes.com/client_data/291af792ab94792a114ad850408e1376/banner.js8 KB—✓3rd
https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation//dist/js/scroll-lock.js?ver=2.1.54 KB—✓1st
https://scripts.simpleanalyticscdn.com/latest.js5 KB—✓3rd

Consider code splitting or tree shaking to reduce unused code.

Why this matters

This bundle has high unused code — code-split or tree-shake to ship only what executes.

Source: web.dev / Lighthouse coverage

Consider code splitting or tree shaking to reduce unused code.

Why this matters

This bundle has high unused code — code-split or tree-shake to ship only what executes.

Source: web.dev / Lighthouse coverage

Consider code splitting or tree shaking to reduce unused code.

Why this matters

This bundle has high unused code — code-split or tree-shake to ship only what executes.

Source: web.dev / Lighthouse coverage

Consider code splitting or tree shaking to reduce unused code.

Why this matters

This bundle has high unused code — code-split or tree-shake to ship only what executes.

Source: web.dev / Lighthouse coverage

Consider code splitting or tree shaking to reduce unused code.

Why this matters

This bundle has high unused code — code-split or tree-shake to ship only what executes.

Source: web.dev / Lighthouse coverage

C
Green Hosting
Action
Whether the site is served from green-energy infrastructure
REVIEW

Green Hosting

No green hosting detected

A+
Text Compression
All text resources are compressed
PASS
All text resources are compressed
Info::
All text resources are compressed
All text resources are properly compressed.
A+
Font Loading
5 fonts (289 KB)
PASS
5 fonts (289 KB)
Info::
5 font(s) use font-display: swap (FOUT risk but functional)

Web fonts

5

289 KB total

Render-blocking

0

of 5

Dominant font-display

swap

Most common across fonts

Font loading timeline
Transfer FOIT (block) FOUT (swap)
0 ms 2.0 s 4.0 s 6.0 s 8.0 s 10.0 s 12.0 s FCP 6.9 s LCP 12.9 shttps://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY_z_wNahGAdqQ43RhVcIgYT2Xz5u32K0nXNi0Dp6_cOyA.woff2QGY_z_wNahGAdqQ43RhVcIg... https://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY_z_wNahGAdqQ43RhVcIgYT2Xz5u32K0nXNi0Dp6_cOyA.woff2 — 56.2 KiB — 54 ms — font-display: swaphttps://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY_z_wNahGAdqQ43RhVcIgYT2Xz5u32K67QNi0Dp6_cOyA.woff2QGY_z_wNahGAdqQ43RhVcIg... https://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY_z_wNahGAdqQ43RhVcIgYT2Xz5u32K67QNi0Dp6_cOyA.woff2 — 60.2 KiB — 18 ms — font-display: swaphttps://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY_z_wNahGAdqQ43RhVcIgYT2Xz5u32K5fQNi0Dp6_cOyA.woff2QGY_z_wNahGAdqQ43RhVcIg... https://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY_z_wNahGAdqQ43RhVcIgYT2Xz5u32K5fQNi0Dp6_cOyA.woff2 — 60.1 KiB — 29 ms — font-display: swaphttps://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY_z_wNahGAdqQ43RhVcIgYT2Xz5u32K3vXNi0Dp6_cOyA.woff2QGY_z_wNahGAdqQ43RhVcIg... https://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY_z_wNahGAdqQ43RhVcIgYT2Xz5u32K3vXNi0Dp6_cOyA.woff2 — 59.5 KiB — 72 ms — font-display: swaphttps://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY9z_wNahGAdqQ43Rh_ebrnlwyYfEPxPoGU3msJpo3ZKyDSQQ.woff2QGY9z_wNahGAdqQ43Rh_ebr... https://towardsdatascience.com/wp-content/themes/tds-theme/assets/fonts/QGY9z_wNahGAdqQ43Rh_ebrnlwyYfEPxPoGU3msJpo3ZKyDSQQ.woff2 — 52.9 KiB — 25 ms — font-display: swap
QGY_z_wNahGAdqQ43RhVcIg... woff2 swap
Size 56 KB
Load time 54 ms
Start 1.8 s
Risk FOUT — text flashes from fallback to web font
QGY_z_wNahGAdqQ43RhVcIg... woff2 swap
Size 60 KB
Load time 18 ms
Start 1.8 s
Risk FOUT — text flashes from fallback to web font
QGY_z_wNahGAdqQ43RhVcIg... woff2 swap
Size 60 KB
Load time 29 ms
Start 2.1 s
Risk FOUT — text flashes from fallback to web font
QGY_z_wNahGAdqQ43RhVcIg... woff2 swap
Size 59 KB
Load time 72 ms
Start 2.1 s
Risk FOUT — text flashes from fallback to web font
QGY9z_wNahGAdqQ43Rh_ebr... woff2 swap
Size 53 KB
Load time 25 ms
Start 2.1 s
Risk FOUT — text flashes from fallback to web font
Optimization checklist
  • Preload critical fonts (priority=high)
  • Use woff2 format for all fonts
  • Set font-display to swap, optional, or fallback
  • Subset large fonts (≤100 KB each)
A+
Resource Caching
All resources properly cached
PASS
All resources properly cached
Info::
No caching issues found
All static resources have appropriate caching headers.
A+
Critical Rendering Path
No render-blocking resources
PASS
No render-blocking resources
Info::
No render-blocking resources detected
A+
Resource Hints
3 hints, 0 missing preconnects
PASS
3 hints, 0 missing preconnects
Info::
Page uses 3 resource hint(s)

Current Resource Hints

preconnect
—
preload
—
dns-prefetch
3
prefetch
—

3 resource hints configured

A+
Render-Blocking Resources
No render-blocking resources detected
PASS
No render-blocking resources detected
Info::
No render-blocking resources detected in <head>
A+
Third-Party Resources
No third-party resources detected
PASS
No third-party resources detected
A
HTTP Caching
max-age=600 (10 minutes)
PASS
max-age=600 (10 minutes)
Info::
Cache-Control header is set
Got: max-age=600, must-revalidate
Info::
Effective TTL: 10 minutes (max-age=600)
Info::
No ETag or Last-Modified header
Conditional requests (304 Not Modified) are not possible without validators.
Cache-Control

max-age=600, must-revalidate

DirectiveValueMeaning
max-age600Cache for 10 minutes
must-revalidate—Must recheck with server after expiry
Effective TTL: 600 seconds
Network Waterfall
97 requests over 4745ms
INFO
0 ms 2.0 s 4.0 s 6.0 s 8.0 s 10.0 s 12.0 s FCP 6.9 s LCP 12.9 shttps://towardsdatascience.com// https://towardsdatascience.com/ — 200 — 34.7 KiB — 266 ms — h2https://h030.towardsdatascience.com/script.jsh030.towardsdatascience.com/script.... https://h030.towardsdatascience.com/script.js — 200 — 41.1 KiB — 127 ms — h2https://towardsdatascience.com/wp-content/plugins/cookie-law-info/lite/frontend/js/gcm.min.js/wp-content/plugins/cookie-law-info... https://towardsdatascience.com/wp-content/plugins/cookie-law-info/lite/frontend/js/gcm.min.js — 200 — 1.2 KiB — 32 ms — h2https://cdn-cookieyes.com/client_data/291af792ab94792a114ad850408e1376/script.jscdn-cookieyes.com/client_data/291af... https://cdn-cookieyes.com/client_data/291af792ab94792a114ad850408e1376/script.js — 200 — 9.6 KiB — 106 ms — h2https://towardsdatascience.com/wp-includes/blocks/social-links/style.min.css?ver=6.9.4/wp-includes/blocks/social-links/st... https://towardsdatascience.com/wp-includes/blocks/social-links/style.min.css?ver=6.9.4 — 200 — 1.6 KiB — 59 ms — h2https://towardsdatascience.com/wp-includes/blocks/navigation/style.min.css?ver=6.9.4/wp-includes/blocks/navigation/styl... https://towardsdatascience.com/wp-includes/blocks/navigation/style.min.css?ver=6.9.4 — 200 — 2.4 KiB — 38 ms — h2https://towardsdatascience.com/wp-content/themes/ui-kit-theme/dist/css/parent-frontend.css?ver=8a1d11518d3564270cd0/wp-content/themes/ui-kit-theme/dis... https://towardsdatascience.com/wp-content/themes/ui-kit-theme/dist/css/parent-frontend.css?ver=8a1d11518d3564270cd0 — 200 — 1.2 KiB — 22 ms — h3https://towardsdatascience.com/wp-content/themes/tds-theme/dist/css/frontend.css?ver=823aff592d494f29250f/wp-content/themes/tds-theme/dist/c... https://towardsdatascience.com/wp-content/themes/tds-theme/dist/css/frontend.css?ver=823aff592d494f29250f — 200 — 4.1 KiB — 23 ms — h3https://cdn.insightmediagroup.io/imgjs/v1/imgjs-v1.js?ver=1776808579cdn.insightmediagroup.io/imgjs/v1/i... https://cdn.insightmediagroup.io/imgjs/v1/imgjs-v1.js?ver=1776808579 — 200 — 27.6 KiB — 1.5 s — h3https://towardsdatascience.com/wp-content/plugins/tds-plugin/dist/js/imgjs-init.js?ver=1c96dc2348cfec57ddaf/wp-content/plugins/tds-plugin/dist... https://towardsdatascience.com/wp-content/plugins/tds-plugin/dist/js/imgjs-init.js?ver=1c96dc2348cfec57ddaf — 200 — 3.4 KiB — 48 ms — h3https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation/dist/blocks/site-header/view-module.js?ver=8cb9c85bda4b30f20a6e/wp-content/plugins/ui-kit-navigati... https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation/dist/blocks/site-header/view-module.js?ver=8cb9c85bda4b30f20a6e — 200 — 1.5 KiB — 26 ms — h3https://towardsdatascience.com/wp-content/themes/tds-theme/dist/js/frontend-module.js?ver=485fb0b9996654cbfa28/wp-content/themes/tds-theme/dist/j... https://towardsdatascience.com/wp-content/themes/tds-theme/dist/js/frontend-module.js?ver=485fb0b9996654cbfa28 — 200 — 537 B — 27 ms — h3https://towardsdatascience.com/wp-includes/js/dist/script-modules/interactivity/index.min.js?ver=66c613f68580994bb00a/wp-includes/js/dist/script-modules... https://towardsdatascience.com/wp-includes/js/dist/script-modules/interactivity/index.min.js?ver=66c613f68580994bb00a — 200 — 15.4 KiB — 40 ms — h3https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation//dist/js/scroll-lock.js?ver=2.1.5/wp-content/plugins/ui-kit-navigati... https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation//dist/js/scroll-lock.js?ver=2.1.5 — 200 — 3.6 KiB — 33 ms — h3https://towardsdatascience.com/wp-content/uploads/2025/02/TDS-Vector-Logo.svg/wp-content/uploads/2025/02/TDS-Vec... https://towardsdatascience.com/wp-content/uploads/2025/02/TDS-Vector-Logo.svg — 200 — 5.5 KiB — 32 ms — h3https://towardsdatascience.com/wp-content/uploads/2026/04/ChatGPT-Image-Mar-6-2026-04_19_28-PM-768x768.jpg/wp-content/uploads/2026/04/ChatGPT... https://towardsdatascience.com/wp-content/uploads/2026/04/ChatGPT-Image-Mar-6-2026-04_19_28-PM-768x768.jpg — 200 — 122.3 KiB — 40 ms — h3https://towardsdatascience.com/wp-content/uploads/2026/04/pexels-padrinan-2882520-scaled-1-768x511.jpg/wp-content/uploads/2026/04/pexels-... https://towardsdatascience.com/wp-content/uploads/2026/04/pexels-padrinan-2882520-scaled-1-768x511.jpg — 200 — 23.9 KiB — 33 ms — h3https://towardsdatascience.com/wp-content/uploads/2026/04/ChatGPT-Image-Apr-15-2026-02_19_58-PM-768x512.jpg/wp-content/uploads/2026/04/ChatGPT... https://towardsdatascience.com/wp-content/uploads/2026/04/ChatGPT-Image-Apr-15-2026-02_19_58-PM-768x512.jpg — 200 — 79.6 KiB — 22 ms — h3https://scripts.simpleanalyticscdn.com/latest.jsscripts.simpleanalyticscdn.com/late... https://scripts.simpleanalyticscdn.com/latest.js — 200 — 4.9 KiB — 116 ms — h2https://towardsdatascience.com/wp-content/themes/ui-kit-theme/dist/js/post-template-view-script.js?ver=a0d80fcdb9e0f5246681/wp-content/themes/ui-kit-theme/dis... https://towardsdatascience.com/wp-content/themes/ui-kit-theme/dist/js/post-template-view-script.js?ver=a0d80fcdb9e0f5246681 — 200 — 631 B — 21 ms — h3https://log.cookieyes.com/api/v1/loglog.cookieyes.com/api/v1/log https://log.cookieyes.com/api/v1/log — 200 — 260 B — 93 ms — h3https://securepubads.g.doubleclick.net/tag/js/gpt.jssecurepubads.g.doubleclick.net/tag/... https://securepubads.g.doubleclick.net/tag/js/gpt.js — 200 — 33.6 KiB — 93 ms — h3https://towardsdatascience.com/wp-content/themes/tds-theme/dist/js/frontend.js?ver=823aff592d494f29250f/wp-content/themes/tds-theme/dist/j... https://towardsdatascience.com/wp-content/themes/tds-theme/dist/js/frontend.js?ver=823aff592d494f29250f — 200 — 578 B — 40 ms — h3https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation/dist/blocks/navigation-portal/view-module.js?ver=36e5df5c5f75790692e9/wp-content/plugins/ui-kit-navigati... https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation/dist/blocks/navigation-portal/view-module.js?ver=36e5df5c5f75790692e9 — 200 — 1.6 KiB — 23 ms — h3https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation/dist/blocks/navigation/view-module.js?ver=d0f9bae99aa4f0b00e33/wp-content/plugins/ui-kit-navigati... https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation/dist/blocks/navigation/view-module.js?ver=d0f9bae99aa4f0b00e33 — 200 — 1.4 KiB — 22 ms — h3https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation/dist/blocks/search-button/view-module.js?ver=925dab9fdd8c362c4d20/wp-content/plugins/ui-kit-navigati... https://towardsdatascience.com/wp-content/plugins/ui-kit-navigation/dist/blocks/search-button/view-module.js?ver=925dab9fdd8c362c4d20 — 200 — 773 B — 26 ms 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https://pagead2.googlesyndication.com/pagead/gen_204?id=av-js&type=colleague-executed&name=4 — 204 — 20 B — 55 ms — h3https://pagead2.googlesyndication.com/pagead/gen_204?id=av-js&type=reach&proto=CAlgAWgDpagead2.googlesyndication.com/pagea... https://pagead2.googlesyndication.com/pagead/gen_204?id=av-js&type=reach&proto=CAlgAWgD — 204 — 20 B — 28 ms — h3https://tpc.googlesyndication.com/simgad/3038805351645357963?tpc.googlesyndication.com/simgad/30... https://tpc.googlesyndication.com/simgad/3038805351645357963? — 200 — 39.8 KiB — 47 ms — h2data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACsAAAAWBAMAAACrl3iAAAAABlBMVEUAAAD+AciWmZzWAAAAAnRST…data:image/png;base64,iVBORw0KGgoAA... data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACsAAAAWBAMAAACrl3iAAAAABlBMVEUAAAD+AciWmZzWAAAAAnRST… — 200 — 0 B — 0 ms — 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https://pagead2.googlesyndication.com/pcs/activeview?xai=AKAOjstsXkKzKG3cnJEpjOsGc3SLY5UlE5ARfCpLTIsncCqJmdS3uMo-naFA3stgN02FmsPh1CRBkVNaytWecX8aBhUDF1yxeTEAzKcSbbDfdBmRVV40p0_eA16aAl6kzEoBiacht6lvLJeSUePo0cmoNkWDYnKC4eCExVmoBY_Vxpn0G0c72nr8WpYu2A&sig=Cg0ArKJSzLoKoKAemnqjEAE&id=lidar2&mcvt=1000&p=114,0,170.9375,412&tm=1076.1000003814697&tu=75.90000057220459&mtos=1000,1000,1000,1000,1000&tos=1000,0,0,0,0&v=20260420&bin=7&avms=nio&bs=0,0&mc=1&if=1&vu=1&app=0&itpl=0&adk=3909804949&rs=4&la=0&cr=0&uach=WyJMaW51eCIsIiIsIng4NiIsIiIsIjE0Ny4wLjc3MjcuMTAxIixudWxsLDAsbnVsbCwiNjQiLFtbIkNocm9taXVtIiwiMTQ3LjAuNzcyNy4xMDEiXSxbIk5vdC5BL0JyYW5kIiwiOC4wLjAuMCJdXSwwXQ%3D%3D&vs=4&r=v&co=7274169600&rst=1776808896368&rpt=236&isd=0&lsd=0&met=mue&wmsd=0&pbe=0&fle=0&vae=0&spb=0&sfl=0&ffslot=0&reach=8&io2=0 — 200 — 65 B — 28 ms — h3
HTML JavaScript CSS Images Fonts XHR/Fetch Other
Third-Party Script Cost
Per-script blocking time, transfer cost, and cache headers
INFO
86% of JavaScript execution is third-party
First-party Third-party 2146ms · 588KB · €23/mo
securepubads.g.doubleclick.net
Other
Costly
Execution 527ms
Transfer 187 KB
Unused 52%
Monthly Cost €6/mo
Unattributable
Other
Costly
Execution 493ms
Transfer 0 KB
Monthly Cost €5/mo
cdn-cookieyes.com
Other
Costly
Execution 236ms
Transfer 8 KB
Monthly Cost €3/mo
h030.towardsdatascience.com
Other
Costly
Execution 228ms
Transfer 41 KB
Monthly Cost €2/mo
scripts.simpleanalyticscdn.com
Other
Optional
Execution 164ms
Transfer 5 KB
Monthly Cost €2/mo
Google Tag Manager
Tag Manager
Optional
Execution 147ms
Transfer 159 KB
Unused 39%
Monthly Cost €2/mo
Google Tag Manager
Tag Manager
Optional
Execution 126ms
Transfer 119 KB
Unused 51%
Monthly Cost €1/mo
js.hscollectedforms.net
Other
Optional
Execution 100ms
Transfer 26 KB
Monthly Cost €1/mo
securepubads.g.doubleclick.net
Other
Optional
Execution 66ms
Transfer 34 KB
Monthly Cost €1/mo
cdn-cookieyes.com
Other
Optional
Execution 60ms
Transfer 10 KB
Monthly Cost €1/mo

These scripts may cost more than they're worth

  • securepubads.g.doubleclick.net adds 527ms and costs ~€6/month
  • Unattributable adds 493ms and costs ~€5/month
  • cdn-cookieyes.com adds 236ms and costs ~€3/month
  • h030.towardsdatascience.com adds 228ms and costs ~€2/month

86% of JavaScript execution time is spent on third-party scripts. Consider auditing which scripts are essential.

Why this matters

When third-party JS execution time exceeds your own, performance gains from frontend work are capped by code you don't own.

Learn more ▾

Every millisecond of third-party JS competes with your own for main-thread time. If their share is bigger than yours, optimization on your code base barely moves the needle. Audit, defer, or remove third-parties before further frontend optimization. Use Lighthouse's third-party audit to identify the worst offenders.

Source: web.dev

securepubads.g.doubleclick.net takes 527ms of CPU time. Consider loading it asynchronously or replacing it with a lighter alternative.

Why this matters

This script has high main-thread execution time — optimize hot paths or defer.

Source: web.dev

52% of securepubads.g.doubleclick.net's code is unused. The script may be loading features you don't use.

Why this matters

Bundle has high unused-code ratio — tree-shaking and route-splitting recover the wasted bytes.

Source: web.dev

Unattributable takes 493ms of CPU time. Consider loading it asynchronously or replacing it with a lighter alternative.

Why this matters

This script has high main-thread execution time — optimize hot paths or defer.

Source: web.dev

cdn-cookieyes.com takes 236ms of CPU time. Consider loading it asynchronously or replacing it with a lighter alternative.

Why this matters

This script has high main-thread execution time — optimize hot paths or defer.

Source: web.dev

h030.towardsdatascience.com takes 228ms of CPU time. Consider loading it asynchronously or replacing it with a lighter alternative.

Why this matters

This script has high main-thread execution time — optimize hot paths or defer.

Source: web.dev

51% of Google Tag Manager's code is unused. The script may be loading features you don't use.

Why this matters

Bundle has high unused-code ratio — tree-shaking and route-splitting recover the wasted bytes.

Source: web.dev

How third-party costs are calculated

All checks on this page are automated. Results are estimates - run targeted manual reviews when the score affects a release decision.

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