
VibeUI
Give your AI coding agent a design sense via API
What it does
Every AI coding agent produces the same generic UI. VibeUI fixes that. A design API that AI agents (Cursor, Windsurf, Copilot) query to find unique, premium UI styles. 56+ curated HTML/CSS designs, each AI-analyzed with mood, color palette, and pattern metadata. Get an API key → AI searches by "vibe" → matching CSS+HTML injected into your project. Same prompt. Completely different result. Free credits on signup.
Does the same job
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- IBI built a wizard to turn ideas into AI coding agent-ready specsNov 2025 · vibescaffold.dev · ▲71
I created vibescaffold.dev. It is a wizard-style AI tool that will guide you from idea → vision → tech spec → implementation plan. It will generate all the documents necessary for AI coding agents to understand & iteratively execute on your vision. How it works: - Step 1: Define your product vision and MVP - Step 2: AI helps create technical architecture and data models - Step 3: Generate a staged development plan - Step 4: Create an AGENTS.md for automated workflows I've used AI coding tools for awhile. Before this workflow (and now, this tool), I kept getting "close but not quite" results…
- BABuild AI Rules for Code Editors (Copilot, Cursor, Windsurf)2025 · ai-rules-builder.pages.dev · ▲9
Vibe coded app that enables developers to quickly create so called "rules for AI" used by tools such as GitHub Copilot, Cursor and Windsurf, through an interactive, visual interface.

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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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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 · 27d ago · cactuscompute.com


Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
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