The TinyGo team has announced a new version of its eponymous Go compiler targeting embedded and other resource-constrained environments, promising a wealth of new features — and support for the new Arduino UNO Q single-board computer.
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Canonical has announced an extension of its partnership with MediaTek that will bring its Ubuntu Linux distribution to even more embedded devices and projects, by adding support for the Genio 520 and 720 SoCs.
Christian Hirsch is preparing to launch a MicroMod Processor based around the Nordic Semiconductor nRF9151 — providing LTE-M cellular, NB-IoT, DECT-NR+, and GNSS connectivity in a single compact module.
Jean de Bailliencourt’s Cobalt is a voice-first AI wearable built inside a real Casio F-91W shell and powered by a XIAO nRF52840 Sense. Press the button, speak, and Cobalt transcribes your voice, understands it, and takes action — all without a screen, daily charging, wake words, or subscriptions.
Maksim Masalski details how to bypass TFLM and unleash Nordic Semiconductor's nRF54L Axon NPU — compile bare-metal workloads and push the silicon to its limits with Zephyr RTOS.
📅 What if an ePaper panel could count down to your next holiday?
Profe Tolocka built The Next Holiday with our XIAO ePaper Display Board and used SenseCraft HMI to create the background image header.
Full project on @hacksterio.bsky.social 👉 tinyurl.com/y4epty22
Przemek Wasinski has made plane spotting an automated affair — by using a low-cost software-defined radio to pick up aircraft transponders and automatically train a camera on their location.
Chris Maher made a massive, wall-sized 2,500-LED matrix without breaking the bank using an ingenious design powered by LED strips.
Matthias Wandel has turned the Raspberry Pi Pico's PIO blocks into a surprisingly sensitive capacitance sensor — capable of not only tracking proximity in free air but through a wooden floor too.
Level up your hardware skills with Lilka, a $15 open source ESP32 handheld designed for mastering coding and embedded systems.
Finally, a DIY smartwatch that survives the rain: LILYGO’s IP65-rated T-Watch Ultra brings rugged durability to the ESP32 hacking community.
Seeed Studio has officially launched the reBot Arm B601, an open source robotic arm the company hopes will prove ideas for both experimentation and real-world deployment.
Gears, cams, and plywood are all this mechanical clock needs to keep near-perfect time on its seven-segment display.
M5Stack has announced an impending refresh to its popular Cardputer all-in-one development board family — and this time it's dropping the microcontroller in favor of being powered by the Raspberry Pi CM0.
Pseudonymous maker "snc" has released 3D print files and instructions for building your own YARH.IO M4 — a slab-format handheld cyberdeck powered by a Raspberry Pi 4 and featuring a neat desk stand, active cooling, and integrated charging capabilities.
LogCase adds a glare-free, full-color E Ink screen to the back of your iPhone that’s powered entirely by NFC — no battery required.
Relive the Winamp glory days with Pattern Flow, a DIY LED display that turns sine waves into mesmerizing, knob-controlled visual art.
Transform your RTL-SDR dongle into a professional-grade spectrum scanner that automatically detects, classifies, and tracks radio signals.
Bring the concert home with this Arduino-powered robot that attaches to any guitar to play your favorite tracks with mechanical perfection.
ElecLab’s DIY IoT platform packs tri-core power, dual screens, and 4G into a wearable kit that handles the builds other dev boards can't.
Wireless LEDs look like magic and Myth Made has a fantastic video demonstrating how to make them easily on a miniscule budget.
If Elgato's Stream Deck doesn't have enough aesthetic flavor for you, check out the retro-styled TabKao that is on Kickstarter.
Provide your plants with a little photonic enrichment with this simple Raspberry Pi-powered terrarium lighting system.
AERIS-10 is an open source radar system with a range of 20 km for 3D scanning at a tiny fraction of the cost of commercial equipment.
AI/ML tutorials are often complex and rely on large models that require powerful development machines with high-end GPUs and extensive software stacks. Marco Hoefle does a great job of breaking it down into steps for designing, training, and deploying a custom CNN on a DEEPX-accelerated edge device.