PSA – Stop Chrome unloading inactive tabs by toggling one setting

Hacker News

TL;DR If you don't like chrome tabs unloading do this: 1. Put this in your address bar: chrome://settings/?search=memory+saver 2. Hit enter. 3. Turn that setting OFF to prevent chrome unloading tabs. Two notes: 1. Chrome defaults to unloading inactive tabs. But it can be distracting having to wait for page reloads and pause autoplay content, especially if you have lots of tabs. A fast way to do this: hold opt + cmd and tap right arrow to cycle tabs (then pause autoplay audio/video; and repeat for each instance of chrome). Chrome sometimes asks for a captcha to be solved. A bit fiddly. It's a relief to finally find a setting that avoids this (it's at the cost of a few gb of memory, but that's a small price IMO). 2. In chrome jargon, unloading tabs is called 'tab discarding'. In the past it could be disabled via a chrome 'flag', which is not there any more. It's also possible to disable it via a chrome addon, but I prefer to use the native chrome setting, it's just a little difficult to discover unless you know what to search for.

Visit product View on Hacker NewsMar 30, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: notes · Missing: mac, agents, macos

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, active · Missing: mrr, revenue, profit

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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