This $5 board belongs in every smart home


The ESP32-C6 doesn’t look like much at first glance. It’s small, cheap, and the kind of thing I tend to lose in a drawer.

But if you look closer, you’ll find a tiny board that packs almost everything you need to build your own custom smart home device. You get wireless connectivity, general-purpose input and output, and full sensor support right out of the box.

It makes it easy to solve the specific problems that off-the-shelf gadgets tend to ignore. Instead of settling for a pre-made device that almost does what you want, you can build something that does exactly what you need it to do.

The smart home still has too many gaps

DIY lets you build a smart device for your home

A wooden surface with a smart home icon. Credit: Lucas Gouveia / How-To Geek

The smart home market is full of a huge range of products, but it still has shortcomings. You can buy smart bulbs, plugs, and thermostats all day long, but it’s much harder to find a device that’ll work nicely with your freezer, a specific garage layout, or a bathroom fan that reacts intelligently to humidity instead of just running on a timer.

This is where DIY hardware can shine. A custom device only has to solve your specific problem; it doesn’t need a mass-market appeal or an app that works for millions of people on dozens of different devices.

The ESP32-C6 is a great place to start. It is a tiny, cheap, wireless brain you can build into a custom smart device for $5.

The ESP32-C6 is a great base for any DIY smart device

The IO options are great

ESP32-C6 devkitc by WROOM. Credit: WROOM

A smart device needs more than just an internet connection; it needs a way to connect to sensors and control physical components. The ESP32-C6 supports up to 30 GPIO pins depending on your model. Some of those pins have an analog-to-digital-converter (ADC), enabling you to work with analog components, and others feature support for SPI, UART, I2C, and JTAG.

That mix of physical input and output options ensures you have plenty of options. You can use the board to read a button, monitor a door contact, talk to a temperature sensor, or power an LED.


Close-up of an HC-SR04 ultrasonic sensor wired to an ESP32 development board on a breadboard.


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Its wireless mix fits any smart home

The wireless support on the ESP32-C6 is a big part of what makes it such an interesting option for a range of DIY smart home projects. Out of the box, it supports 2.4GHz Wi-Fi 6, Bluetooth Low Energy (BLE), and Thread and Zigbee.

You won’t need all of these for every project—a freezer alarm might only need Wi-Fi, while a presence sensor might leverage Bluetooth—but the value is in the flexibility. You aren’t locking yourself into a board that only works with one or two wireless standards. Once you’re familiar with the ESP32-C6, you can adapt it to multiple different projects without worrying about whether or not it’ll be able to communicate, and without needing to relearn a whole new board.

It is perfect for small devices

Seeed Studio's XIAO ESP32-C6 in a tiny format. Credit: Seeed

The ESP32-C6 is especially compelling for tiny devices. You can use it to build a humidity sensor that triggers a fan, a freezer monitor to warn you before food spoils, a leak detector you embed in your shower wall, or a button panel that lets you trigger routines without having to reach for your phone, and they could be as small as a bottle cap.

Just keep in mind that while low-voltage sensors and LEDs are generally safe to tinker with, anything involving household power requires proper relay modules, isolation, and code-compliant wiring to be safe.

The ESP32 ecosystem is incredible

There are thousands of projects to draw from

Cheap microcontroller boards are everywhere, but the ESP32-C6 stands out because it belongs to a microcontroller family with a massive ecosystem behind it.

This means you aren’t starting from scratch on any project you attempt.

You have access to a huge library of tutorials, wiring diagrams, and community fixes for common builds. Whether you prefer Arduino-style tools, MicroPython, or the ESP-IDF framework, you have options.

If you use Home Assistant, you should definitely look into ESPHome. Instead of writing a full embedded program, you can simply define your sensors and relays in configuration files and flash the board.

Not only is it physically capable, the surrounding support makes it very compelling for beginners and experienced developers alike.


The ESP32-C6 is a great “brain” for any smart device

The ESP32-C6 won’t replace the central hub in your house unless you go to extraordinary lengths, but that’s okay—that isn’t its job. It gives you an inexpensive, flexible foundation for the specific devices big companies don’t bother to make, or allows you to build your own version for less that is specifically tailored to your needs.

Between the IO pins for real-world interaction, the massive ecosystem for troubleshooting, and a wireless mix that fits any modern smart home, it’s a great value. The future of your home automation might just be a five-dollar board hidden inside something you made smart yourself.



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“It was severely downgraded,” Gilbert confirms. “I never would have found it if I was just looking through Google results.” (I tried the same prompt in Gemini earlier this month, and after an initial denial, the tool also gave me Eiger’s number.)

After this experience, Eiger, Gilbert, and another UW PhD student, Anna-Maria Gueorguieva, decided to test ChatGPT to see what it would surface about a professor. 

At first, OpenAI’s guardrails kicked in, and ChatGPT responded that the information was unavailable. But in the same response, the chatbot suggested, “if you want to go deeper, I can still try a more ‘investigative-style’ approach.” Their inquiry just had to help “narrow things down,” ChatGPT said, by providing “a neighborhood guess” for where the professor might live, or “a possible co-owner name” for the professor’s home. ChatGPT continued: “That’s usually the only way to surface newer or intentionally less-visible property records.” 

The students provided this information, leading ChatGPT to produce the professor’s home address, home purchase price, and spouse’s name from city property records. 

(Taya Christianson, an OpenAI representative, said she was not able to comment on what happened in this case without seeing screenshots or knowing which model the students had tested, even after we pointed out that many users may not know which model they were using in the ChatGPT interface. She also declined to comment generally about the exposure of PII by the chatbot, instead providing links to documents describing how OpenAI handles privacy, including filtering out PII, and other tools.) 

This reveals one of the fundamental problems with chatbots, says DeleteMe’s Shavell. AI companies “can build in guardrails, but [their chatbots] are also designed to be effective and to answer customer questions.”

The exposure issue is not limited to Gemini or ChatGPT. Last year, Futurism found that if you prompted xAI’s chatbot Grok with “[name] address,” in almost all cases, it provided not only residential addresses but also often the person’s phone numbers, work addresses, and addresses for people with similar-sounding names. (xAI did not respond to a request for comment.) 

No clear answers

There aren’t straightforward solutions to this problem—there’s no easy way to either verify whether someone’s personal information is in a given model’s training set or to compel the models to remove PII. 



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