diff --git a/source/_docs/energy/water.markdown b/source/_docs/energy/water.markdown
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--- a/source/_docs/energy/water.markdown
+++ b/source/_docs/energy/water.markdown
@@ -64,6 +64,7 @@ Maybe you like to build one yourself?
 - [AI-on-the-edge-device](https://github.com/jomjol/AI-on-the-edge-device) is a project running on an ESP32-CAM and can be fully integrated into Home Assistant using the Home Assistant Discovery Functionality of MQTT. It digitalizes your gas/water/electricity meter display and provides its data in various ways.![Photo of the AI-on-the-edge-device Workflow](/images/docs/energy/ai-on-the-edge-device.jpg)
 - [watermeter](https://github.com/nohn/watermeter) running classic OCR and statistical pattern recognition on any system supporting Docker
 - [Muino water meter reader 3-phase](https://muino.nl/product/3-phase-muino-light-sensor-encoder/) Using the 3-phase sensor technique, a battery-powered version can be possible with this sensor.
+- [Read water meter with magnetometer](https://github.com/tronikos/esphome-magnetometer-water-gas-meter) using [QMC5883L](https://esphome.io/components/sensor/qmc5883l.html), a common and inexpensive magnetometer. This should be compatible with all the water meters the Flume water sensor is compatible with, which is [compatible](https://help.flumewater.com/en/articles/1618594-is-the-flume-device-compatible-with-all-water-meters) with about 95% of water meters in the United States.
 
 If you manually integrate your sensors, for example, using the [MQTT](/integrations/mqtt) or [RESTful](/integrations/rest) integrations: Make sure you set and provide the `device_class`, `state_class`, and `unit_of_measurement` for those sensors.