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THE VIDEO SHELF · web performance

Progressive Performance (Chrome Dev Summit 2016)

Alex Russell's Chrome Dev Summit 2016 talk on building web experiences that work on slow, flaky networks and low-power devices. It argues developers should focus on the performance of real-world mobile hardware rather than desktop machines.

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Why HN readers recommended it

HN commenters cite it as the clearest case for why mobile devices are slow and why code-splitting and progressive web apps are needed.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Chrome for Developers
Topic
web performance
Format
talk
Level
intermediate
HN recommenders in dataset
4
HN mentions in dataset
4
Recommendation years in dataset
2016–2018

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Alex Russell first diagnosed this problem at Chrome Dev Summit in 2016 in a really amazing talk: [VIDEO] He makes the point that lots of JS frameworks are so large that you're already doomed before you write the first line of real "app code". The …

    feross on Hacker News · 2018-09
    In The “Developer Experience” Bait-And-Switch

  • Note that you should not choose Ember if you are creating an app intended to be used on mobile, as it doesn't yet have code-splitting. This talk explains about why this is a hard requirement: [VIDEO]

    Touche on Hacker News · 2016-11
    In Choosing Ember over React in 2016

  • Take a look at this talk on why mobile devices are so much slower than desktop devices ( they are indeed 10x slower in the traces I have looked at too) - [VIDEO] Also look at the speedometer benchmark ( [LINK] ) for a more …

    inian on Hacker News · 2016-12
    In Things I learnt making a fast website

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.

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