Ragnar
Text + Image to CAD. World's best VibeCAD!
What it does
Ragnar is an AI-powered CAD platform that lets anyone turn ideas, text, and images into professional 3D CAD models — no design or CAD tool experience required. Simply describe what you want, upload a sketch, and iterate on your design through a chat interface. Export your models in industry-standard formats for 3D printing or manufacturing workflows.
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Hey HN! We’re Will and Jorge, and we’ve built LAD (Language-Aided Design), a SolidWorks add-in that uses LLMs to create sketches, features, assemblies, and macros from conversational inputs (https://www.trylad.com/). We come from software engineering backgrounds where tools like Claude Code and Cursor have come to dominate, but when poking around CAD systems a few months back we realized there's no way to go from a text prompt input to a modeling output in any of the major CAD systems. In our testing, the LLMs aren't as good at making 3D objects as they are are writing code,…
- OSOpen-sourcing our text-to-CAD app2025 · github.com · ▲179
Hey HN! I'm Zach from Adam (https://adam.new/). We’re building an AI co-pilot for mechanical CAD software. As part of our broader research, we built a browser-based Text-to-CAD app (https://news.ycombinator.com/item?id=44182206) and are now open sourcing it. This is a React SPA with a Supabase backend. What it does: * Generates parametric 3D models from natural language descriptions, with support for both text prompts and image references * Outputs OpenSCAD code with automatically extracted parameters that surface as interactive sliders for instant dimension…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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