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LinkedIn uses 2.4 GB RAM across two tabs

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Re: LinkedIn uses 2.4 GB RAM across two tabs

#141
I keep my profile updated as a consultant because it lets clients and others in my company get a fuller gauge than my one pager. I’ve also got my most recent and prior job from having a price and responding to the right recruiter, I’ve also had a handful of interviews as well, which is honestly more than I’ve gotten from trying to apply to random job board postings.

Re: LinkedIn uses 2.4 GB RAM across two tabs

#142

I don't understand who uses that network anymore. Everytime I login it's all ai generated stories next to ai generated flavor images of people sounding like a parody of themselves ("what taking my kids to school taught me about business scaling"). Out of all places to doomscroll, why choose the one that feels like an episode of Severance?

Yea, I quit recently, got absolutely nothing positive out.

Re: LinkedIn uses 2.4 GB RAM across two tabs

#143
post #43

Earlier quoted context omitted.

I think a big problem is the fact that many web frameworks allow you to write these kind of complex apps that just "work" but performance is often not included in the equation so it looks fine during basic testing but it scales really bad. like for example claude/openAI web UIs, they at first would literally lag so bad because they'd just use simple updating mechanisms which would re-render the entire conversation hi…

it's unironically just react lmao, virtually every popular react app has an insane number of accidental rerenders triggered by virtually everything, causing it to lag a lot

well that's any framework with vdom, the GC of web frameworks, so I'd imagine it's also a problem with vue etc..

I don't understand though why performance (I.e. using it properly) is not a consideration with these companies that are valued above $100 billion

like, do these poor pitiful big tech companies only have the resources to do so when they hit the 2 trillion mark or something?

Re: LinkedIn uses 2.4 GB RAM across two tabs

#145

I don't understand who uses that network anymore. Everytime I login it's all ai generated stories next to ai generated flavor images of people sounding like a parody of themselves ("what taking my kids to school taught me about business scaling"). Out of all places to doomscroll, why choose the one that feels like an episode of Severance?

It’s a great way to spot phonies if you don’t have a lot of time. If you encounter someone who seems to know things but you’re not sure what or how well, check LinkedIn. If they are flexing as thought leaders, they are bullshit artists and readily ignored.

[flagged]

Re: LinkedIn uses 2.4 GB RAM across two tabs

#147
post #125

Web developers of HN: how is this possible? What can use 1.2GB RAM for a website? Preloaded all videos?

Keep in mind this is memory used by a browser tab, not "how bug the website is". Probably a memory leak as the feed is scrolled or something, but it is a massive download when you first load the page.

I'm seeing 72MB in the network tab (7MB transferred--that's due to compression). An incredible 10MB is HTML (800K transferred), a more incredible 11MB of CSS (500K transferred), 25MB of JS (3MB transferred), 16MB XHR (1MB), 17MB images (1.7MB transferred).

A lot of the HTML is inline JS in `window.__como_rehydration__` -- letting a server-side rendered be dynamic as if it were fully client-side rendered.

The size of the CSS also presents in bloated HTML. Why not have 18 classes on your button? `<button class="_5732bd68 _4cbf0195 _00dac29f _737a8a8c b241f848 _9572431e _56fd9a8a ff367c5b f7a6e63a aa661bbd b1e8a5cc d6e0deb3 _0582e059 f7e4b8f0 f9d5d3fb e037a5e8 _340d09d4 fbc7d17b" ...`

Re: LinkedIn uses 2.4 GB RAM across two tabs

#149

I don't understand who uses that network anymore. Everytime I login it's all ai generated stories next to ai generated flavor images of people sounding like a parody of themselves ("what taking my kids to school taught me about business scaling"). Out of all places to doomscroll, why choose the one that feels like an episode of Severance?

Because after Stackoverflow Jobs went bust, LinkedIn and Xing (in DACH space), are the best ways to reach out to head hunters.

All those Indeed, Stepstone,... feel much worse.

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