Buildory
Turn ChatGPT conversations into Buildory projects
What it does
Design a project with ChatGPT, send the idea to Buildory, and let Buildory AI propose a complete project structure with the right sections. Accept it to create the project instantly. From there, ChatGPT can keep working on it through the Buildory plugin: creating tasks, adding BOM items, saving knowledge, recording build logs and retrieving project information.
Turn an idea into an AI-generated project structure, then manage tasks, parts, budgets, build logs, knowledge and photos or work with your project from ChatGPT.
Let AI turn your idea into a practical project structure. Then manage tasks, parts, budgets, knowledge, photos and build logs — and work with your project in ChatGPT using the Buildory plugin. The strongest Buildory pages feel like living workshop journals: progress, parts, notes and visuals all tied together in one shareable place. Reworking the main instrument panel with new annunciators, a cleaner USB I/O layout, and a serviceable wiring harness behind the glare shield. Compact general aviation trainer with separate left and right displays, encoder box, and a simplified radio stack for recurrent IFR practice. Rigid 8020 sim chassis with integrated pedal deck, seat sliders, keyboard arm,…from buildory.app
Does the same job
all alternatives →
More ai this month
the category →
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.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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.
AI · 16d ago · simedw.com