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FOSS Compass and Navigation App

Hacker News

FOSS Compass and Navigation App

Hello everyone, I'm excited to share MBCompass with new improvements, which is a modern, free, and open source Compass and Navigation app without Ads, IAP, or Tracking. That's support Compass and Navigation features with being lightweight and simple! I built MBCompass, not just another FOSS compass app; it bridges the gap between a compass and a full navigation app https://github.com/CompassMB/MBCompass Features: Shows clear cardinal direction and magnetic azimuths. 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 support. No ads, no in-app purchases, no tracking. Runs on Android 5.0+ full list available on website Even with all these features, MBCompass was just "1.35MB APK size" with no ads, no IAPs, and no trackers For more info: https://compassmb.github.io/MBCompass-site/

Visit product View on Hacker NewsAug 30, 2025

Actual performance

2points

Did not reach leaderboard

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

64%64% 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.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, open · Missing: mac, agents, macos

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% 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

17%17% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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