hardware

A Claude Code skill that lets the model inspect live camera frames so it can verify hardware displays, spot wiring issues, and check physical UI behavior on real devices.

OpenTPU is an open-source AI accelerator project with RTL, ISA, simulator, compiler, profiler, and host software in one repo. The page shows it running real models like Qwen and LFM on a Kintex-7 PCIe card, with detailed performance results and documentation links.

An open-source AI engineering platform that edits, documents, and verifies KiCad circuit boards from a prompt or brief, with gated stages for spec, architecture, parts, schematic, layout, outputs, firmware, and dev plan.

A detailed walkthrough of using an AI agent to design a PCB end to end, from requirements and part selection through routing, validation, and fab-ready gerbers, with public repo support and build checks.

A web tool for estimating how fast local LLMs will run on different hardware before you buy it. It lets users browse by GPU, Mac, CPU, and model, and shows simulated tokens/sec and time-to-first-token based on benchmark data.

Thumb-sized private AI computer that plugs into a phone, tablet, or PC and uses a built-in Android environment to operate apps, run workflows, and automate tasks while keeping data isolated.

AutoGPU is an open-source project for using AI agents to design and harden a GPU-like chip end to end, from Verilog through synthesis and place-and-route to GDSII. The repo shows a concrete fp8 matmul accelerator flow, quick-start steps, and documentation for running the design/hardening process.

A small open-source benchmark repo comparing edge AI boards by real or vendor-reported YOLO FPS, board price, and FPS-per-dollar. It includes a machine-readable CSV, source links, contribution guidelines, and notes on how the figures were gathered.

A web tool that estimates when a local LLM machine pays for itself versus using an API. It compares hardware options, model fit, speed, and break-even usage, with notes on assumptions and methodology.

A blog post documenting an open-source, under-$40 take on OpenAI’s Codex Micro, built as an AI-assisted PCB routing and keyboard/macropad project.

A GitHub repository guide to running state-of-the-art LLMs on local hardware, with concrete build notes, cost breakdowns, and runnable configs for large models.

A project writeup about turning a 1999 Big Mouth Billy Bass into an offline LLM-powered jokester using an ESP32, local LAN compute, and custom hardware/software design.