Whizi
GPT, Claude, Gemini. Ask them all. Pay for one.
What it does
Whizi puts GPT, Claude, Gemini, Kimi, GLM, DeepSeek, Grok, Qwen and 280+ other models in one workspace. Ask once and read every answer side by side. Switch models mid-conversation and the whole thread comes with you, or let auto-routing pick the model for each prompt. Chat with PDFs and spreadsheets, search the web, and generate images in the same thread. One subscription from $15.99 a month, first week $1.
Whizi is the multi-model AI workspace. Use GPT, Claude, Gemini, Llama, and top image models in one place for less than a single ChatGPT Plus subscription.
GPT, Claude, Gemini, Llama, and top image-generation models in one plan, starting with 7 days for $0.99. You sign up once, open one chat window, and pick the model that fits the task: GPT for everyday questions, Claude for careful reasoning and code, Gemini for large documents and data. Switching models takes one click, and your conversation stays in place. You can also run two models on the same prompt at once and keep the answer you prefer. Every plan uses simple monthly credits instead of per-token bills, so a standard message costs a predictable amount and you always know what you have left. See how credits work and the model list by plan for exact numbers. ChatGPT Plus, Claude Pro, and…from whizi.io
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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…
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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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