Esp32Tap

Treddy

A 2005 treadmill that listens when you talk to it.

A Raspberry Pi sits between the console and motor controller of a Precor 9.31 treadmill, intercepting the serial bus. It runs an AI coach (Gemini), voice control, a tablet UI, and a Bluetooth daemon that makes Zwift think it's a modern smart treadmill.

The Ridgeline HUD — your workout drawn as a trail up a real mountain. The route's switchbacks tighten with the grade, the strip on the right shows what's coming and when, and every panel is adaptive glass floating on the photo.

Voice + AI Coach

• "Set speed to 5" or "give me a 20-minute hill workout" — Gemini controls the belt directly
• Voice works mid-run via Gemini Live (real-time, no wake word)
• Says "this is the hardest interval" or "you're faster than last time" because it can query your run history

Apps

• Android (Kotlin + Compose): runs on a tablet mounted on the treadmill console
• Workout library, run history, live elevation profile, calorie tracking

Bluetooth

• Rust daemon makes the treadmill show up in Zwift, Peloton, QZ Fitness, and Apple Watch as a standard FTMS device
• Fitness apps can read speed/incline and write speed/incline commands back

Heart Rate

• Connects to any Bluetooth heart rate strap
• HR shows in the UI and feeds into calorie calculations

Architecture

┌───────────────────────────────────────────────────────┐
│  Android (Kotlin + Compose)                           │
├───────────────────────────────────────────────────────┤
│  REST / WebSocket / Gemini Live (voice)               │
├───────────────────────────────────────────────────────┤
│  server.py (FastAPI)                                  │
│  Sessions, programs, AI chat, workout query DB        │
├──────────────────┬──────────────┬─────────────────────┤
│  treadmill_io    │  ftms-daemon │  hrm-daemon         │
│  C++20, GPIO     │  Rust, BLE   │  Rust, BLE          │
│  serial, safety  │  FTMS        │  heart rate         │
└──────────────────┴──────────────┴─────────────────────┘
                         │
                    Precor 9.31
                  RS-485 serial bus

• C++ binary — reads/writes the serial bus, enforces safety (3-hour timeout, physical buttons always override software)
• Python server — FastAPI. All the logic: Gemini AI, workouts, sessions, run history
• FTMS daemon — Rust. Bluetooth for fitness apps
• HRM daemon — Rust. Connects to heart rate straps
• Android — display layer. All decisions happen server-side.

Details: CLAUDE.md

The Hardware Story

The serial protocol turned out to be plain ASCII text. We just had the polarity wrong and spent days decoding "binary" that was actually [key:value] pairs with every bit flipped.

Full reverse engineering writeup →

Custom hardware: the breadboard tap was productized into a custom Pi Zero 2 W hat — dual RJ45 (From Console / To Motor), a Pololu D24V10F5 buck so the treadmill's +8V rail powers the Pi, full 2×20 header. KiCad sources, gerbers, and wiring guides are in hardware/PiZeroHat/ (adapted from the vasya-zh/PiZeroHat pogo-pin base).

Quick Start

You need: a Raspberry Pi (any aarch64 model — Zero 2 W or 4), the treadmill serial tap (the custom hat in hardware/PiZeroHat/, or a breadboard tap wired per HARDWARE.md), Docker on your dev machine (for the cross toolchain), and a Gemini API key.

1. Build the OS image for your Pi. The Pi runs a stock Debian-based Pi OS; you flash a reproducible image built for your hardware. See provisioning/ for the image builder (DietPi is the reference implementation — adapt the regulatory/board settings for yours). Flash it, boot, confirm SSH.

2. Deploy the software. Compiled code is cross-built off-Pi in one Docker toolchain — nothing is compiled on the Pi. The OS runtime prerequisites (python3, libpigpio1) are installed automatically by the deploy; you do not apt-install anything by hand.

make deploy        # cross-build → rsync → restart all 4 services
make deploy-key    # one-time per device: push your ./.gemini_key (a secret;
                   #   never rsync'd by a normal deploy)
make image         # OR: bake a flashable .img with everything pre-installed

Local dev (no Pi needed):

TREADMILL_MOCK=1 ./scripts/dev.sh    # server.py in mock mode

API reference, deploy details, tests: CLAUDE.md

License

MIT