Sculptly· Image to 3D model generator
Turn a single photo or sketch into a 3D model in about a minute. GLB, OBJ, STL and splat downloads.
Developer Tools·Design Tools·AI & Machine Learning
What is Sculptly?
Sculptly is an image to 3D model generator.
Sculptly is an online AI 3D model generator that converts 2D photos, sketches, and character artwork into 3D meshes in standard GLB, OBJ, and STL formats within minutes. The neural mesh engine analyzes silhouettes, depth gradients, and surface contours to reconstruct volumetric geometry with baked textures and UV coordinates, requiring zero manual CAD or 3D sculpting experience.
It is designed for creators, 3D printing enthusiasts, and game developers who want to turn flat art, original characters, pets, and concept sketches into production-ready 3D models. Users can inspect, orbit, and verify the physical mesh directly in an interactive browser 3D viewport prior to export.
What makes Sculptly different is its balanced format support and built-in utilities, including free textured GLB exports for game engines like Unity and Unreal, paid OBJ and STL geometry exports with automatic watertight repair for 3D printing slicers, and permanent browser utilities for format conversion and mesh repair.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Your overall marketing spent gave you a a 20 cost per trial across paid and organic and social and everything that you're spending on... would you want a model that's helpful in helping you grow or would you want a model that's accurate but is it helping you grow.
Blended Cost Per Trial Is The Post-ATT North Star — Total Spend Divided By Total Trials
Post-ATT, channel-level ROAS calculations are unreliable — Facebook models conversions, Google says 'take our word for it,' and postbacks go to networks not advertisers. Shamanth's practical replacement: divide total marketing spend by total new trials across all sources. This blended metric is what offline advertisers always used. It's less precise but directionally accurate, and it doesn't let broken attribution lead to wrong decisions about scaling or cutting spend.
The market research you find out there is typically just going to be very high level and you're going to have to cut it down. If you have great analytics on your platform you can learn enough about your consumers to figure out what segmentation actually matters — like what your SAM should be.
Triangulate real SAM from your own product analytics, not market research
Don't trust top-line market research alone. Combine it with your own analytics on who actually uses and pays, then segment by the variables (geography, demo, commitment) that meaningfully change serviceability. SAM is triangulated, not looked up.
There's a play for whatever you're stuck on.
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