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Developer Builds Custom Geo-fencing Engine After Google API Proved Too Imprecise

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A developer building an app called Muffle — designed to automate phone sound profiles based on location and context — initially used Google's Geofencing API but abandoned it due to poor precision and unpredictable latency. The API failed to detect zone transitions accurately, sometimes delaying exit events until the user had moved several blocks away. To gain finer control, the developer switched to a custom engine built on Android's FusedLocationProviderClient, using the Haversine formula for distance calculations within a persistent Foreground Service. An adaptive polling system was implemented, reducing location update frequency when stationary and increasing it upon detected movement to conserve battery. The shift away from Google's high-level API introduced new challenges around Android's fragmented power management behavior across device manufacturers.

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