I did the same thing and ran haiku on low for about 3min46s to reverse engineer @pascal editor
I open-sourced it here: github.com/pascalorg/edit…
Save your tokens. Agent-ftiendly 3D architecture is here: 100% free
It already got 25k 🌟!!
One prompt. One building.
@pascal does it 10x faster and 10x cheaper than GPT, Claude and Gemini, and the 3D is better.
Frontier model for the physical world. Meet the AI architect.
Big release and big announcements coming.
Dropping cars into a garage is awesome. The same loop with real data is a product: @pascal Capture scans your garage, Studio places furniture and fixtures snapped to actual walls and slabs, and an agent can check if it fits through MCP. Try it in the browser.
Love this. AI-generated gym equipment is exactly the kind of asset we want dropping into real buildings. @mintdotgg as a Pascal Studio plugin: generate the treadmill in Mint, place it in your actual scanned home gym in @pascal. Who wants to build it?
Everyone’s using AI to build games.
We built a Room building game where you use AI to build.
In this tutorial, I generated my dream home gym and gym equipment in Mint. Here’s how 👇
Moving Atoms is doing for industrial plants what @pascal is doing for buildings: turning scans into scene graphs, not meshes. Agents and simulations need objects they can select, label and reason about. Great work! 💪💪
A scan gives you a picture. A simulation needs objects.
We can output Revit files, USD, IFC. Anything needed for BIM/Simulation workflows.
This is a real process plant in Rotterdam. On the left is the raw LiDAR, about 5 million NavVis points. On the right is our reconstruction,
Tell your agent about Pascal. Same idea, but for real buildings: describe a space, or scan it with your phone, and get a scene graph you can light, measure and edit. Street lights included. editor.pascal.app
Probably the most impressive output I received from this skill:
A street light with adjustable pole height and light distribution.
You're able to see the light move between the road, the houses and the sky.
Things get interesting when the LUX map gets turned on.
Congrats Jake. Fun timing: github.com/pascalorg/edit… just passed 24.8k stars doing the same thing one level up.
Text-to-CAD gives you a part. Pascal gives you the building the part goes in. Open source, MIT, MCP-native, runs locally with one npx command.
Love this. Manga artists need backgrounds, so someone built a school generator. Insurers, contractors and homeowners need the same thing for real houses, and nobody has it. That’s what we’re building at @pascal.
“Every object is separated and editable” is the game. A point cloud is a photo, a scene graph is a database. Moving Atoms is building that for factories and robots. @pascal is building it for buildings and the people who insure, sell and repair them.
Moving Atoms (YC S26): Scan to Sim is here.
Send us a LiDAR or SLAM scan of your factory floor, warehouse or yard, from any scanner. Upload multi-gigabyte scans straight from your browser (up to 200 GB per file). Within 48 hours you get back a simulation-ready digital twin of
Adaptive point size is underrated. We get asked constantly why @pascal keeps the raw scan around instead of meshing everything. This is why: every mesh is an opinion about the data. The points are the data.
Graphs are the right primitive for agents. We went one step further at @pascal: the scene graph is the agent's world model of a building. Every wall, pipe and fixture is a node. Information in, information out.
Andrew Ng just dropped the best 2-hour course on Graph Engineering: from single agent to full automation
9:14 - your first agent
33:11 - loop engineering
1:02:46 - graph engineering
1:30:15 - agents that rewrite themselves
1:49:05 - full graph system
two hours, and it replaces
$70k a year to draw ducts on a PDF. 24 hours to start replacing it. Here’s what Autodesk doesn’t get: nobody wanted Revit. They wanted the building to exist in a computer. Revit was the only way to do that, so people paid. That’s over. @pascal we’re not making a free Revit. We’re replacing the whole stack with something better: scan the space with your phone, get a scene graph, let the AI do the layout. Information in, information out. The building, not the drawing, is the product.
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