Zen Mode – Hide Everything. Mute Everything

Hacker News

My Macbook is a complete mess, and I’m often in strange situations when somone approaches my desk or during a meeting, because my desktop is unorganized with icons , there are constantly several windows open, and I was frequently chatting in the conference while on mute. I needed a solution where I could tidy up the desktop icons by concealing them, or hide all windows except the one I was presently working on, or turn on or off the microphone with a single click without having to seek for it. I've been searching through different tools to see if there's anything that could fix this problem. While I've found a few, many of them are pricey, so I figured why not build one myself. Here is where Zen mode comes in, with a single click you can hide desktop icons, hide inactive windows, mute mic or speakers. You can watch a quick intro to the tool here: https://youtu.be/wT2PdPg-RZo You can download the mac app here: https://zen-mode.carrd.co/ Any feedback is highly appreciated. Thank you!

Visit product View on Hacker NewsMar 19, 2022

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

81%81% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

62%62% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

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