With a one click declutter your desktop in meetings or in public places

Hacker News

I was inspired by other builders who were working on mac apps, so I wanted to build a mac app. What is it? Have you ever been in an awkward situation where you wanted to hide all of your desktop icons or windows during a meeting but couldn’t do it fast? Have you ever been encountered in a situation where you believed you were on mute in the meeting but were not? If you want to avoid those problems in the future, then you are in the right place. Zen mode — Hide Everything. Mute Everything is a single click tool that lets you hide desktop icons, hide inactive windows, mute mic or speakers. Here is a quick video: https://www.youtube.com/watch?v=wT2PdPg-RZo You can try the app here: https://zen-mode.carrd.co/ more features coming soon...

Visit product View on Hacker NewsApr 8, 2022

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

84%84% 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

58%58% 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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon, builder · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

23%23% 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 · Missing: web3, chat, crypto

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

Incorrect prediction on native model

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