Webhook Gong Base for LilyGO T-Display (ESP32)
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Desk gong base: hit the gong and a vibration sensor makes a LilyGO T-Display call any webhook (n8n, Home Assistant).
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A desk gong that calls a webhook when you hit it. Built by Sam Beek after Max from n8n asked for a webhook gong.
A DFRobot DFR0027 vibration sensor on the back of the gong feels the strike, and a LilyGO T-Display (an ESP32 with a built-in screen) posts to any URL: an n8n workflow, Zapier, Make, Home Assistant or your own server. You set the Wi-Fi network, webhook URL and sensitivity from your phone: the screen shows a QR code for a setup network, and the setup page opens by itself. The firmware ignores the sensor for 600 ms after each hit, so one strike sends one webhook.
This is the base. It holds the T-Display and battery, with the gong glued on top. It was designed around the T-Display and the base of Sam's gong, so measure yours before you print.
Parts
LilyGO T-Display (ESP32)
DFRobot DFR0027 Gravity digital vibration sensor
Dupont jumper wires, plus female Dupont connectors and a crimper if you rewire the sensor cable
Small desktop gong
Optional: small LiPo battery
Super glue
Printing
One part: gong-casing.stl, 182.6 × 32.2 × 48.0 mm. OrcaSlicer 2.4.2 estimates about 2 h 10 min on a Bambu Lab P1S (0.4 mm nozzle, 0.20 mm Standard, Bambu PLA Basic, auto-orient, no supports). The mesh is 11 separate shells and isn't watertight; check it in your slicer.
Assembly
Wire the sensor: VCC to 3V3, GND to GND, signal to GPIO 27. The sensor cable ends in one three-wire plug, so you may need to cut out the signal wire and crimp a female Dupont connector onto it.
Tape the sensor to the back of the gong near the rim, flash the firmware and test. Glue comes at the end.
Wear gloves for the super glue. Glue the sensor to the back of the gong.
Connect the battery to the board, put the board in the case and connect the sensor.
Glue the gong to the case.
Full guide with wiring and firmware: https://www.schematik.io/projects/webhook-gong-trigger-m5bm
Firmware and wiring guide generated with Schematik, our AI hardware tool; the enclosure was modelled by hand.