ESP32C3 SuperMini is an IoT mini development board based on the ESP32C3 WiFi/Bluetooth dual mode chip. It supports IEEE 802.11 b/g WiFi and Bluetooth 5 (LE) protocols, and includes an external antenna to enhance wireless signal strength for wireless applications. The board features a compact, singlemount design with a refined appearance, suitable for compact enclosures and easy mounting in tight spaces. It provides rich interfaces: 11 digital I/Os that can be used as PWM pins and 4 analog I/Os that can be used as ADC pins, enabling flexible interface options for sensors and actuators. It supports four serial interfaces: UART, I2C, SPI. In addition, there is a small reset button and a boot loader mode button on the board for easy programming and recovery. ESP32C3 is a 32bit RISCV CPU that includes a floating point unit (FPU) capable of 32bit singleprecision operations, delivering solid computing power for edge processing and control tasks. Use scenarios: Home automation and smart sensors: connect environmental sensors (temperature, humidity, air quality), IoT devices, and wireless controllers that require reliable WiFi/Bluetooth connectivity. Industrial IoT and remote monitoring: deploy compact sensor nodes for machine monitoring, asset tracking, or environmental monitoring in facilities with limited space and need for stable wireless links. Portable data logging and edge processing: run local data collection and processing tasks with multiple I/O options and convenient bootloader access, reducing reliance on cloud connectivity for preliminary data processing. Key attributes: Function: wireless connectivity via WiFi and Bluetooth, multiple I/O options, and support for common serial interfaces. Compatibility: based on ESP32C3, compatible with standard ESP32C3 toolchains and development workflows. Size and form: compact, singlemount design optimized for tight spaces. Material and build: designed as an IoT development board with integrated antennas and accessible I/O pins. Performance: 32bit RISCV CPU with FPU provides capable processing for typical IoT and edge tasks.