Added the cherry on top of the most cracked building in Dogpatch.

Hardware has an enormous number of details, which is what makes it such a powerful use case for AI. But before AI can reliably automate production-grade PCB designs, the underlying source data also has to reflect physical reality. Just this week, an engineer told us he had to scrap a batch of PCBs because an audio jack didn’t fit onto the board. The footprint matched the manufacturer’s datasheet exactly. The manufacturer’s own part didn’t. So yes, the only benchmark that matters is whether the board works.

I love looking at the parts engineers are downloading on SnapMagic to get a glimpse into the future of hardware. Looking across July's 450,000 electronic CAD downloads, several technologies central to robotic sensing, movement, and power grew far faster than the platform overall. Tomorrow’s robots are being designed today. 1. Encoders and position sensors: grew 8x faster

To everyone using SnapMagic this weekend, thank you for your patience. As more engineers rely on SnapMagic for hardware design, we’ve seen increasingly sophisticated abuse attempts, including a large-scale fake account attack designed to bypass our security systems. We moved quickly to harden the platform, and things should now be back up and running.