We Built a "Nano Banana" for 3D Editing
Most 3D AI tools force you to start from scratch every time you want to make a change. Anyone who’s used 3D AI has seen this: fix the hands, the toes break. Or you download a model and only need to tweak one part, not redo the entire asset. That’s the problem we’re trying to solve. We just launched an editing feature in our 3D AI tool, Rodin. It lets you edit existing 3D models by selecting an area and typing your prompt, without rebuilding everything. You can upload any model, or generate one from Rodin, and change only the part you want. For example: “Replace the head of this Gundam model…
What it does
In the maker’s words, at launch
Most 3D AI tools force you to start from scratch every time you want to make a change. Anyone who’s used 3D AI has seen this: fix the hands, the toes break. Or you download a model and only need to tweak one part, not redo the entire asset. That’s the problem we’re trying to solve. We just launched an editing feature in our 3D AI tool, Rodin. It lets you edit existing 3D models by selecting an area and typing your prompt, without rebuilding everything. You can upload any model, or generate one from Rodin, and change only the part you want. For example: “Replace the head of this Gundam model with Crayon Shin-chan’s head.” This came from working with real production pipelines, where fast iteration matters more than one-shot perfection. Demo: https://youtu.be/-5_sSHeOmuc You can try it with this code for a 14-day Creator Plan: ME8EW4PMCRT4 Happy to answer any questions.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Astute▲585Automate your B2B brand going viral, with new media creators
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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…
AI · 26d ago · cactuscompute.com


Launched alongside, January 2026
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
AI · Jan 2026 · cannoneyed.com




Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
