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Battling the Red Notification Badge (Chrome Extension)

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Battling the Red Notification Badge (Chrome Extension)

TL;DR I made a Chrome extension that changes the color of the notification badge on popular social media websites from red to gray: https://chrome.google.com/webstore/detail/notification-badge-desens/egihgffagcmekfdhcfckaaknpckokajp?hl=en The social media companies have a taken a page from the casino's playbooks, specifically the slot machine. The slot machine doesn't let you win every time, but it lets you win just often enough to keep you engaged, to keep you wanting more. The notification bell on pages like Facebook, Youtube, and now even Netflix has one (what could Netflix possibly need to "notify" me about?), behaves exactly like a slot machine. It offers you a list of "personalized" notifications. At first it's only relevant things, like when someone comments on your status. Just like a good slot machine will let you win a little more often at first. Then it starts getting filled with vacuous notifications while the ones you "crave" are interspersed, just like the slot machine again. All the while the little red circle on that notification bell calls your attention. It's red for a reason: we're wired to respond to red. Maybe it's because it's the color of blood, maybe it's because it's the color of berries, I don't know, but I do know that the red icon won't leave me alone! I sometimes find myself clicking on it just to make it go away, even though I know there can't possibly be any valuable notification there. It's time to fight back against the house. With the Chrome extension I linked above the color of this badge will go from red to gray on many popular social media websites. I've noticed this simple change has had a big impact. I no longer feel the need to check the bell. It's still there, I mean it's still occasionally useful, but it no longer demands my attention. The urgency is gone, and I can browse in peace. If a site you visit is not supported by the app (currently supported are LinkedIn, Facebook, Youtube, and Netflix) please mention it in the comments below and we'll add it to our list.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, google · Missing: agents, macos, agent
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, google, way · Missing: mobile apps, ios, entrepreneurs
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: occasional, calls · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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