Pause – Unbreakable Focus Timer

Hacker News

Hey HN, I built Pause, a radical anti-distraction app that helps you stay focused by blocking all apps with a timer you can’t bypass. Like many, I often found myself mindlessly scrolling on my phone when I should be working, reading, or just enjoying a break. App blockers exist, but most can be disabled too easily. Pause is different: there is no way around it – it blocks all your apps, and you have to wait until the timer ends. Simple and effective – no extra fluff, just deep focus. It’s perfect for work, study, reading, or reducing phone addiction. If you’ve ever felt the urge to "just check something real quick" and lost 30 minutes instead, Pause is for you. Would love your feedback! Download, try it, and let me know what you think. DEMO: https://studio.youtube.com/channel/UCOjX7V7XjKwwnH6jm1RBXUg URL: https://apps.apple.com/fr/app/pause-focus-temps-d%C3%A9cran/...

Visit product View on Hacker NewsJan 31, 2025

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Actual performance

2points

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Launch Intel predictions

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

62%62% 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.

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.

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% 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

20%20% 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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