Launch HN: Adam (YC W25) – Open-Source AI CAD
Hey HN! I'm Zach from Adam (https://adam.new/). We're building AI agents for mechanical CAD software. We’ve built the company on two fundamental beliefs:- AI will be the primary medium for creating mechanical designs just like it is in software today.- The best paradigm for CAD generation is to generate CAD as code (text -> code -> CAD).We’re building CADAM, an open source Text to CAD platform. It's a React app (TanStack Start) with a Supabase backend for auth, database, and file storage. Think of it like AI TinkerCAD.Demo: https://www.youtube.com/watch?v=iESOr7EGWqk Try it: https://adam.new/cadam/What it does:- Generates parametric 3D models from natural language, with support for both text prompts and image references.- Outputs OpenSCAD code with automatically extracted parameters that surface as interactive sliders for instant dimension tweaking- Exports as .STL or .SCAD (plus OBJ, GLB/GLTF, FBX, and DXF)Under the hood:- One agentic endpoint with two modes that swap system prompts and tools: a parametric mode that writes/edits OpenSCAD via a build_parametric_model tool, and a mesh mode that generates 3D textured meshes.- Simple parameter tweaks bypass the model entirely; adjusting a slider does a deterministic regex update on the SCAD source, requiring no LLM call.- Model-agnostic via the Vercel AI SDK: Anthropic (Claude), Google (Gemini), and OpenAI/others through OpenRouter, with adaptive thinking auto-enabled on newer models. Surprisingly, in our evals Gemini 3.1 Pro is the top model.- Runs fully in-browser by compiling OpenSCAD to WebAssembly (in a Web Worker, so the UI never blocks) and rendering with Three.js via React Three Fiber- Supports BOSL, BOSL2, and MCAD libraries, plus custom font support (Geist) for text in modelsFuture improvements:- Support both build123d and CadQuery. This will allow us to move beyond CSG primitives to constraint-driven modeling and provide direct comparisons to other code-as-CAD primitives.- Better spatial context: UI for face/edge selection and viewport image integration to give LLMs spatial understandingYou can clone the repo and run it locally! Contributions are very welcome.
55 points by zachdive - 18 comments
An existing LLM could drive the generation while the MCP can render the final result?
- wrong pitch
- wrong pins position
- missing pins
Yeah, no, that's a lie. This isn't a CAD model. It's a fantasy 3d model that looks like it's straight out of Gearhead Garage (1999).
Any time I see these 'AI CAD' solutions it's always toys, toys, toys. Show me something functional that you've actually manufactured (shitty 3D prints don't count). Or at least show me something that can actually be assembled and isn't just a bunch of boxes with no fasteners to hold them together.
Fable 5 in our Fusion Extension.
For anyone doing CAD at a professional level (ie not 3d printed trinkets), the important parts are the physical parameters and tolerances designed into the model. For example I suspect your crankshaft would rip itself apart at engine speeds, not to mention all the plumbing, oil and coolant delivery, and auxiliary pumps and belts are missing
Do you have a single person on your team that's actually a mechanical engineer with practical industry experience?
For the Fusion demo we intentionally didn't include the block or any accessories in the visualization as we wanted demonstrate Adam's ability to reason through the mechanical workings of an engine, like how the cams push the valves or the way the the crankshaft drives the connecting rods.