StandBy Mode Pro, make your Android device more useful while charging

Hacker News

Hi HN, I’m Wesley, an Android dev from São Paulo, Brazil. In 2023 made a commitment to launch real products and after 2 failed attempts an app that started as a simple clock turned into a huge project that I have been working on for 2 years. --- ### What it does - *Auto-launches* whenever the phone is docked or charging. - Supports dozens of usecases with multiple clocks, customizations, utilities and basically infinite possibilities with 3rd party widgets. - *Duo & quad layouts* for tablets/large screens, fully resizable and rearrangeable - *Burn-in grid, sleep timer, night mode* so it can be used for a long time - *Media controls* for Spotify/YouTube Music, and about 90 other apps. Works as a remote. - And much more! --- ### Tech bits - 100 % *Jetpack Compose* with MotionLayout + custom GLSL shaders. - Falls back to *DreamService* (Android’s official screensaver API) on devices that support it. - Telemetry is limited to crash/analytics events; no ad SDKs in the core experience. --- ### Traction so far - Bootstrapped; launched mid-2023. - *1 M+ installs* and a *4.7 rating* (in Brazil, varies for each country) on Google Play. --- ### Monetization Free tier includes core clocks & widgets; *Pro* unlocks extra features, weather and other things. --- ### Why I’m posting I’d love feedback on: 1. Feature ideas, UX improvements, etc 2. Bugs, specially in different form factors. Happy to answer anything—technical deep dives, business questions, code snippets, you name it. Thank you!

Visit product View on Hacker NewsJun 24, 2025

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

89%89% 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: google, apps, dock · Missing: mac, agents, macos

83%83% 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, google, widgets · Missing: mobile apps, ios, personal

48%48% 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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, bootstrapped · Missing: mrr, revenue, profit

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

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

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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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