Circuitcaster is a touch-first PCB design tool for phones and tablets. Ideas hit you when they hit you — the tool should be there when they do. Open Chrome or Safari, start designing. No app install, no signup, no wall.
Every serious hobbyist and engineer has had the same experience: you're on the couch, at a coffee shop, in a coworker's office, and an idea for a small circuit clicks. You reach for your phone, then remember — the design tool is on your desktop. By the time you're back at your desk, the shape of the idea has faded.
Circuitcaster inverts that. The design tool is on your phone. When the idea hits, you sketch it. When you're at your desk later, you finish it. Same project, both devices, no export dance.
QR-code device linking bridges phone and desktop. Start on your phone, scan a QR from another device, keep going. All projects sync across your linked devices.
Circuitcaster's core innovation is machine-readable design. The site hosts a manual for AIs at /llms.txt, and the running app exposes a JavaScript API any browser-driving AI can call. Which means: even on your phone, you can prompt an AI (Claude in Chrome, Gemini in Chrome) to draft the schematic while you review it. Human + AI collaboration on a phone. Nobody's done that for PCBs.
Learn how AIs drive Circuitcaster →
Yes. Circuitcaster is touch-first for phones and tablets from day one. Real footprints, real schematics, real board layouts. Exports to KiCad for fabrication.
Yes. The dot grid + touch model is stylus-native. Precise pin placement with a stylus is often faster than with a mouse.
Neither. Circuitcaster runs in your phone browser. No app store install, no signup. A native phone app is on the roadmap for offline mode and cloud sync — but the web version is free forever.
Yes. Cross-device sync via QR-code linking. Start on your phone, keep going on your desktop. Same project, both devices.
Any recent phone with a modern browser (Chrome, Safari, Edge, Firefox). Best experience on Android with S Pen or iPad with Apple Pencil.
Yes. Circuitcaster exports self-describing JSON that a short recipe converts to .kicad_mod footprint files. The AI manual at /llms.txt documents the full pipeline.
Works on your phone. Right now. In your browser.