A Universal Smart-Scale Bridge That Frees Your Body Data
ble-scale-sync is a universal Bluetooth smart-scale bridge that captures body-composition data from Renpho, Xiaomi, and 20+ other scales and syncs it to Garmin Connect, Strava, MQTT for Home Assistant, InfluxDB, webhooks, and local files, reaching 107 GitHub stars from quantified-self and home-automation users who refuse to be locked into each scale vendor's app, and its issues reveal the core challenge and the demand: specific scale models like the Renpho ES-CS20M and Elis 1 fail to be discovered or disconnect before a reading completes, the Eufy P2 Pro needs an encrypted-protocol adapter, ESP32 deployments fail to report to MQTT, and the Docker container loses Bluetooth discovery after hours. People want their weight and body data freed from proprietary apps and flowing into the tools they choose. The wedge is a scale bridge whose device compatibility and connection reliability cover the scales people actually own.
Problem Statement
A quantified-self user wants their weight and body-composition data flowing from their smart scale into Garmin, Home Assistant, and InfluxDB instead of a vendor app, but their specific scale model fails auto-discovery or disconnects before the reading completes, newer scales need an encrypted-protocol adapter that isn't supported, their ESP32 deployment won't report to MQTT, and the Docker container loses Bluetooth discovery after a few hours. Freeing their body data is exactly what they want, but a bridge that can't reliably read their scale captures nothing.
The Idea
A universal BLE smart-scale bridge with broad, reliable device support that frees body-composition data into Garmin, Home Assistant, and other tools instead of locking it in vendor apps.
Why Now
The quantified-self and home-automation communities grew in 2026 and increasingly reject vendor lock-in on health data, and ble-scale-sync's traction shows strong demand to liberate scale data, but its per-model discovery and disconnect failures, encrypted-protocol gaps, and flaky Bluetooth in Docker show that device compatibility and connection reliability, not more sync targets, are what stand between a clever bridge and a tool people trust to capture every weigh-in.
Target User
Quantified-self and home-automation users who want to own their body data
Target Market
Health-data integration and quantified self
The full brief is free to read
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- Score rationale across 11 dimensions
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