We rendered a million web pages to find out what makes the web slow

Re:We rendered a million web pages to find out what makes th... by matylla on Tuesday January 26, 2021 @12:20PM (#25918496)

This reminds me of an experiment [1] we run a couple months back. We crawled top 100 Alexa websites and check the bloat in the images served to billions of users.

[1]: https://optidash.ai/blog/optimizing-images-on-the-worlds-top...

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Re:We rendered a million web pages to find out what makes th... by tyingq on Tuesday January 26, 2021 @12:32PM (#25918690)

That's really cool. It would be interesting to see what that 32% savings adds up to both for typical market bandwidth and AWS like egress rates.

Curious, did your comparison ensure that none of the images lost any detail, etc? Or how much "lossiness" did you introduce to get the 32%?

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Re:We rendered a million web pages to find out what makes th... by matylla on Tuesday January 26, 2021 @12:38PM (#25918781)

Thanks for chiming in.

It's a perceptually lossless optimization and recompression.

We use saliency detection (trained on an eye-tracker) which tells us where the human vision system would look in the images and optimise those fragments (heatmaps) using our own comparison metrics.

If you're interested in the details shoot me an email to przemek [at] optidash [dot] ai

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Re:We rendered a million web pages to find out what makes th... by PeterWall on Tuesday January 26, 2021 @12:53PM (#25918979)

Thank you for sharing this.

It's interesting to see that even these big websites potentialy still have a lot of room for improvement for their loading times.

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