FOSS De-googled Compass and Nav app with live location tracking

Hacker News

MBCompass: A popular modern FOSS Compass and Navigation app without Ads, IAP, or Tracking New Release: MBCompass v1.1.12 This release and upcoming ones follow the feature roadmap proposed in the v2 design proposal. Features: - Shows clear cardinal direction and magnetic north as well as true north. - Displays magnetic strength in µT. - Live GPS location tracking on OpenStreetMap. - Sensor fusion for improved accuracy (accelerometer, magnetometer, gyroscope). - Light and dark theme support is controlled via Settings. - Keeps the screen on during navigation. - Landscape orientation supports - Runs on Android 5.0+ - No ads, no in-app purchases, no tracking. Note: This app doesn't use any GMS (Google mobile service framework) or any third-party dependencies , only uses AOSP API, so it can be installed on any degoogled or custom ROM devices What's new in v1.1.12 True North Support: Easily switch between True North and Magnetic North using the new toggle in Settings. AMOLED True Dark Theme Added a pure-black AMOLED mode for improved contrast and better battery efficiency on OLED displays. Heading Status Indicator: A new on-screen indicator now clearly shows whether the compass is currently using True North or Magnetic North. Fixes & Improvements in v1.1.12 Sensor Status Dialogue Fix: Resolved an issue where the dialogue content was getting cut off on smaller screens. General UI & Stability Updates: Minor interface refinements and performance improvements for a smoother experience.

Visit product View on Hacker NewsNov 21, 2025

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

82%82% 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, new, using · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

45%45% predicted probability of success on AppSumo, 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

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

Correct prediction on native model

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