FoxColorBox FF exten that allows you to change, customize Window colors

Hacker News

FoxColorBox is a Firefox extension that allows you to change and customize browser Window colors. When you open a new window, it will have a distinct color. You can also change colors by clicking on the extension icon. This can help you differentiate between home, work, and school. It can also be useful when working in development, staging and production environments. https://addons.mozilla.org/en-US/firefox/addon/foxcolorbox/ https://github.com/jftuga/foxcolorbox

Visit product View on Hacker NewsDec 14, 2023

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Actual performance

2points

Did not reach leaderboard

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TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

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

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

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, open · Missing: mac, agents, macos

27%27% 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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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