By day I build digital products. After hours, I turn everyday annoyances into physical experiments with electronics, code, and 3D printing.
These are the build notes—including the decisions, failures, and reusable methods that helped each idea become a real object.
I also write about product, technology, and how we work. Read the articles →
Decisions, wrong turns, tests, and the fix that finally worked.
The useful technical pieces, explained in the context of the build.
Enclosures, printed parts, and hardware made for everyday use.
Workbench archive
Working objects, experiments, and the notes that make them repeatable.
A WhatsApp inventory assistant and battery-powered e-paper display—and a reflection on building software and hardware after the release of the Sol 5.6 model.
This project creates a music box that automatically plays different songs when you place various NFC tags on the reader. Each tag contains a small piece of data telling the ESP32 which track to play.
A custom portable keyboard for my son—powered by an ESP32-C3 microcontroller and built with tactile mechanical switches, speaker this toy combines hands-on fun with personalized sound.
Fun project where I build a laser-powered, motion-detecting guard cat to keep my real cat in check. Using sensors, lights, and a touch of humor, this DIY companion is part security system, part feline rival.
Diving into electronics can feel overwhelming — so many wires, parts, and tools. This guide breaks it down into the core components you’ll actually use. Whether you’re just prototyping on a breadboard or ready to solder your final build, here’s your go-to list of what to grab, why it matters, and a few pro tips along the way.
A comprehensive guide to learning electronics fundamentals, from basic components to building your first circuits.
From the day job
Product thinking, technology, and the way we work. Notes for people building in tech.
When capable agents become your team, management becomes part of everyone's job. Direction, judgment, and business alignment determine whether their work creates value.
AI agents are changing the way we work with software. What happens when directing the work matters more than navigating the app, and what does that ask of product managers and teams?