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Three new chrome extensions(system tools)

Hacker News

Three new chrome extensions(system tools)

I made 3 new chrome extensions recently. They are simple and pure widgets without any permissions. There are detailed descriptions in the extension links. 1. System Monitor for CPU / Memory A tool that display system CPU or Memory usage on the extension icon. Click the icon, you can set the display format, such as graphics or numbers... Chrome Web Store link: https://chrome.google.com/webstore/detail/fcofohckagnahikfankmacbepefilmof Microsoft Edge Addons link: https://microsoftedge.microsoft.com/addons/detail/hhdchdonmjhnjgbiigkejigakhechefe 2. Battery Status Display battery level, charging or discharging status. Link: https://chrome.google.com/webstore/detail/lncamcnihkpmnbpioiooedpmmpaaohnb 3. Keep Computer Awake (for a While) Override current energy-saving settings of OS, keep your computer running or screen on, and (optional) return to default state by a timer... Link: https://chrome.google.com/webstore/detail/imbpigcghoambmanjekibelfjemnnool Yes, there are other extensions that have similar functions. Just for fun to made them, and I think I did a little better than others :)

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
71%71% 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.
TrustMRRFits verified-revenue profile · Strong signals: google, widgets · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, google, computer · Missing: agents, macos, agent
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, 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
32%32% 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
13%13% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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