Top AI Product

LILYGO opened pre-orders for the T-Watch Ultra on April 20. A week later it’s the most-discussed maker hardware on Hacker News — 151 points, 76 comments on a DIY watch thread, plus daily threads on r/embedded and r/esp32. Price: $94.98.

What’s actually on your wrist

This is a fully open DIY smartwatch dev board, not a consumer product. Dual-core ESP32-S3, 16MB flash, 8MB PSRAM, a 2.06-inch AMOLED at 410×502, IP65, 1100mAh battery. The interesting parts: SX1262 LoRa, u-blox MIA-M10Q GNSS, NFC, Wi-Fi/BLE 5.0, and a Bosch BHI260AP sensor with its own programmable coprocessor that runs gesture and motion classifiers on-chip. That last one makes it edge AI hardware — inference happens inside the sensor, not on the MCU.

How an AI agent actually uses it

Flash it from Arduino IDE, PlatformIO, ESP-IDF, or MicroPython. You can burn custom models into the BHI260AP, stream sensor events over BLE or Wi-Fi to an MQTT broker, or push LoRa packets to a gateway miles away. An LLM agent can subscribe to gesture or fall-detection events in near real time, trigger custom apps on the watch, or send notifications back. Early builds already pair it with Home Assistant and Meshtastic.

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