Auto-greyscale specific apps after time limit reached

Hacker News

I've always found Android's Digital Wellbeing controls too blunt. It's all-or-nothing (on purpose?): disable an entire app or greyscale the whole system. This is useless for apps like Reddit or Instagram where I still need to check DMs but want to kill the scrolling trap. Found an open-source app, DetoxDroid, that solves this. You can set time limits per-app, and it will then greyscale (or disable) only that specific app. It's exactly the granularity I was looking for. Not my project (I did make a PR today though), but thought others here might find it useful, and think it deserves some more attention! GitHub: https://github.com/flxapps/DetoxDroid Amazingly, it works without root , only requires the extra 'WRITE_SECURE_SETTINGS' permission (for greyscale) and you can audit it, fork it and build your own version if you're security conscious.

Visit product View on Hacker NewsJul 20, 2025

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

76%76% 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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% 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

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

22%22% 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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