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ChatJimmy Ultra (100k+ tokens/sec)
by jstanley·Feb 20, 2026·1 point·0 comments
AI Analysis
●MidShip ItBig Brain
In-browser LLM inference, but unclear if 100k tok/sec is real or marketing.
Strengths
- •Running quantized models directly in browser eliminates server dependency and latency.
- •Token throughput metric visible in UI suggests genuine performance focus and transparency.
- •Clean, minimal chat interface with zero friction for trying it out immediately.
Weaknesses
- •No technical documentation or architecture explanation visible; claims unsubstantiated.
- •In-browser LLM inference already proven by Ollama.js, WebLLM, and others—not novel.
Category
Target Audience
Developers and AI enthusiasts experimenting with in-browser LLM inference.
Similar To
WebLLM · Ollama.js · TensorFlow.js + transformers.js stacks
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