3.9 sec in total
194 ms
2.1 sec
1.6 sec
Click here to check amazing Lattice Flow content. Otherwise, check out these important facts you probably never knew about latticeflow.ai
Accelerate your production models with robust and trustworthy AI LatticeFlow
Visit latticeflow.aiWe analyzed Latticeflow.ai page load time and found that the first response time was 194 ms and then it took 3.7 sec to load all DOM resources and completely render a web page. This is a poor result, as 65% of websites can load faster.
latticeflow.ai performance score
name
value
score
weighting
Value3.4 s
37/100
10%
Value4.4 s
40/100
25%
Value9.1 s
14/100
10%
Value3,850 ms
1/100
30%
Value0.012
100/100
15%
Value18.0 s
3/100
10%
194 ms
762 ms
35 ms
468 ms
140 ms
Our browser made a total of 58 requests to load all elements on the main page. We found that 88% of them (51 requests) were addressed to the original Latticeflow.ai, 5% (3 requests) were made to Cdnjs.cloudflare.com and 2% (1 request) were made to Cdn-cookieyes.com. The less responsive or slowest element that took the longest time to load (762 ms) belongs to the original domain Latticeflow.ai.
Page size can be reduced by 393.6 kB (48%)
820.0 kB
426.4 kB
In fact, the total size of Latticeflow.ai main page is 820.0 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 50% of websites need less resources to load. HTML takes 495.5 kB which makes up the majority of the site volume.
Potential reduce by 348.0 kB
HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 348.0 kB or 70% of the original size.
Potential reduce by 8 B
Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Lattice Flow images are well optimized though.
Potential reduce by 24.0 kB
It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 24.0 kB or 11% of the original size.
Potential reduce by 21.5 kB
CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Latticeflow.ai needs all CSS files to be minified and compressed as it can save up to 21.5 kB or 23% of the original size.
Number of requests can be reduced by 26 (60%)
43
17
The browser has sent 43 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Lattice Flow. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 27 to 1 for JavaScripts and as a result speed up the page load time.
latticeflow.ai
194 ms
latticeflow.ai
762 ms
script.js
35 ms
siteground-optimizer-combined-css-cb563d2fff680ba13b8e716cc3af83e5.css
468 ms
js
140 ms
frontend-gtag.min.js
286 ms
jquery.min.js
391 ms
log
525 ms
slick.min.js
27 ms
slick.min.css
34 ms
slick-theme.min.css
38 ms
wp-polyfill-inert.min.js
99 ms
regenerator-runtime.min.js
102 ms
wp-polyfill.min.js
305 ms
hooks.min.js
305 ms
i18n.min.js
306 ms
player-static.js
306 ms
9450971.js
80 ms
lazysizes.min.js
306 ms
hello-frontend.min.js
306 ms
jquery.smartmenus.min.js
307 ms
imagesloaded.min.js
307 ms
jquery-numerator.min.js
331 ms
e-gallery.min.js
384 ms
webpack-pro.runtime.min.js
384 ms
webpack.runtime.min.js
384 ms
frontend-modules.min.js
385 ms
frontend.min.js
385 ms
waypoints.min.js
411 ms
core.min.js
463 ms
frontend.min.js
555 ms
elements-handlers.min.js
466 ms
jquery.sticky.min.js
471 ms
image-1-1.webp
492 ms
latticeflow.svg
249 ms
Path-1686.png
289 ms
Path-1686-2.png
337 ms
Group-48095580.png
337 ms
latticeflow_black.svg
346 ms
spinoff-ethzuerich.png
379 ms
swissnex.png
393 ms
snv-logo.png
396 ms
DE_Innosuisse.png
400 ms
Gilroy-SemiBold.woff
555 ms
Gilroy-Heavy.woff
633 ms
Gilroy-Bold.woff
554 ms
Gilroy-ExtraBold.woff
554 ms
Gilroy-Black.woff
455 ms
Gilroy-Medium.woff
536 ms
Gilroy-Regular.woff
554 ms
Gilroy-Light.woff
633 ms
Gilroy-UltraLight.woff
729 ms
Gilroy-Thin.woff
747 ms
fa-solid-900.woff
659 ms
eicons.woff
704 ms
data.png
431 ms
Model.png
434 ms
assets.png
455 ms
latticeflow.ai accessibility score
Contrast
These are opportunities to improve the legibility of your content.
Impact
Issue
Background and foreground colors do not have a sufficient contrast ratio.
Navigation
These are opportunities to improve keyboard navigation in your application.
Impact
Issue
Heading elements are not in a sequentially-descending order
Names and labels
These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
Links do not have a discernible name
latticeflow.ai best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Ensure CSP is effective against XSS attacks
User Experience
Impact
Issue
Serves images with low resolution
General
Impact
Issue
Detected JavaScript libraries
Browser errors were logged to the console
Page has valid source maps
latticeflow.ai SEO score
Content Best Practices
Format your HTML in a way that enables crawlers to better understand your app’s content.
Impact
Issue
Links do not have descriptive text
Mobile Friendly
Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).
Impact
Issue
Document uses legible font sizes
Tap targets are not sized appropriately
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Latticeflow.ai can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Latticeflow.ai main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.
latticeflow.ai
Open Graph data is detected on the main page of Lattice Flow. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: