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[Learn Embedded Dev] November 2026 Newsletter

November 2026 Newsletter

Dear ,

Welcome to the November 2026 edition of my newsletter, a space for sharing insights, tools, and strategies to help you master embedded systems development.

Meet Shawn Hymel, Founder at Skal Risa - edge lab LIVE! at electronica 2026

🦗 Join Shawn Live At electronica In Munich 🦗

Heading to electronica in Munich? On Wednesday, November 11, Shawn will be hosting a hands-on Reinforcement Learning for Robotics workshop, followed by an evening of edge AI interviews.

What's happening on 11/11:

  • Reinforcement Learning for Robotics Workshop. Take the concepts from Shawn's RL for Robotics series off the screen and into a hands-on session.

  • An Evening of Edge AI. Join Shawn for an evening of live interviews with people building at the edge.

  • IoT Stars. Shawn's coupon code also gets you into the IoT Stars event.

Want to go? Register here: Register for the workshop and events

Use coupon code GUEST-SHAWN for deeply discounted access to Shawn's workshop, the IoT Stars event, and the Evening of Edge AI event.

Intro to LoRa Mesh Part 1: What are Meshtastic and MeshCore? - DigiKey video

📡 New Series: Intro To LoRa Mesh 📡

Shawn's new Intro to LoRa Mesh series is rolling out now on DigiKey's YouTube channel! Across six episodes, the series explores LoRa mesh networking with two open-source projects: Meshtastic and MeshCore. Episodes 1 through 3 are available now.

Part 1 lays the groundwork: what LoRa and LoRaWAN are, mesh networking basics, how Meshtastic and MeshCore compare, and hardware recommendations for following along. From there, the series gets hands-on with device setup, a solar-powered repeater, sensor telemetry, and logging data to Home Assistant over MQTT.

Start watching here:

Sneak peek: Intro to Sensor Fusion, a 6-part video series with Shawn Hymel - sample code on GitHub

🧭 Sneak Peek: Intro To Sensor Fusion 🧭

Shawn is currently working on a 6-part Intro to Sensor Fusion video series that will go live in a few months.

Want a head start? The GitHub repository is already up, and it contains all of the sample code that will be shown in the videos, covering techniques like rule-based fusion, inverse-variance weighting, the complementary filter, and the 1D Kalman filter.

Check out the repository here:

Thank you for joining me this month! As always, happy hacking!

Warm Regards,

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