Awareen a screen time tracker that counts screen on time, not app time

Hacker News

Default Android's Digital Wellbeing counts per app foreground time and sums it up. This has a weird consequences of historical totals being tied to whichever apps are currently installed and animations / some launcher time aren't counted at all. By uninstalling Instagram that I was addicted to and my statistics would crazy shift, saying you spent less time than I actually did. I wanted the simpler approach that would better answer the question: "how long was my screen on and unlocked today?", so I built a small Android app that just measures that and shows it as a floating overlay or in a widget, plus a lot of customization to it. No network calls, Private, Free and Open Source, Ad-free. MIT. Perhaps some manufactures are handling digital wellbeing differently, but that problem that I needed to solve existed and still exists on my Xiaomi device.

Visit product View on Hacker NewsMay 27, 2026

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

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

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% 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 · Strong signals: plus, calls · Missing: platform, intuitive, reviews

34%34% 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

24%24% 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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