
Rizz Your Moment Your Vibe Your Caption.
Turn your vibe into the perfect caption.
What it does
Rizz turns any photo + thought + vibe into a personalized, Instagram-ready caption. Unlike generic AI caption tools, it understands the image, mood, personality, and context, while supporting English, Urdu, Roman Urdu, Punjabi, Sindhi, Pashto, and Balochi. Users can instantly create tailored content for Posts, Reels, or Stories in their own style.your photos, your vibe, and your language.
AI-powered Instagram captions for your photos, your vibe, and your language.
Got the perfect picture but can't find the right caption? Upload your photo, tell us what's on your mind, pick your vibe, and let AI do the rest. “This moment didn't need a filter. It just needed the right caption.” Thoughtful captions for your feed. Short, catchy lines that stop the scroll. Quick, expressive text for your story. Optional — but your thoughts help make the caption more personal. Captions made for your moment, your personality, and your Instagram. Get captions inspired by your photo, your context, and your thoughts. Pick the vibe that matches you — funny, casual, bold, emotional, and more. Rizz doesn't just look at your picture. It helps turn your moment, mood, and…from rizz-main.vercel.app
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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…
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Launched alongside, August 2026
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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 · 17d ago · simedw.com