Schematik Is ‘Cursor for Hardware.’ Anthropic Wants In
After blowing his house fuses with ChatGPT, Samuel Beek built Schematik to safely guide hardware creation.
Samuel Beek created Schematik, an AI assistant he describes as 'Cursor for Hardware,' after a disastrous experience using ChatGPT to build an electric door opener that blew every fuse in his Amsterdam home. The incident highlighted the critical need for AI that deeply understands physical electronics. Schematik guides users from idea to finished product: users describe what they want to build, and the tool suggests all necessary components, provides purchase links, and offers step-by-step assembly instructions. The project recently secured $4.6 million in funding from Lightspeed Venture Partners and has gained a passionate following among makers.
One notable user, Marc Vermeeren, built several devices with Schematik, including a Tamagotchi-style 'Clawy' bot to manage his Claude coding sessions. The tool's viral success on social media appears to have directly influenced major AI players. Last week, Anthropic engineer Felix Rieseberg announced a new 'little Bluetooth API for makers and developers' to build hardware that interacts with Claude, sharing a device strikingly similar to Vermeeren's Clawy. While Anthropic didn't comment on the inspiration, Vermeeren expressed pride at potentially inspiring an official feature. Beek emphasizes that unlike subjective software 'vibe coding,' electronics are governed by pure physics, allowing for verification, and he's designed Schematik to work only with low-voltage (3-5V) architectures to prevent dangerous builds.
- Founder Samuel Beek built Schematik after a ChatGPT wiring guide caused a power surge that blew his home fuses.
- The tool just secured $4.6 million in funding from Lightspeed Venture Partners to develop its 'vibe coding for hardware' platform.
- Its success inspired Anthropic to launch a new Bluetooth API for building hardware devices that interact with Claude.
Why It Matters
Democratizes hardware creation, lowering the barrier for non-experts to safely build IoT devices and gadgets with AI guidance.