
Roux
AI-powered personal cooking assistant
What it does
Roux guides you through every meal, from planning your week to making dishes that impress. Roux lets you to engage with your recipes like never before. Ask questions, adjust ingredients, and get feedback while you cook. Plus, Roux adapts to your tastes and cooking habits. The more you use the app, the better the assistance becomes.
Does the same job
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Email me at [email protected] and mention Hacker News! I'll give the first 100 people who do a month free. I built Sage Cooking because my wife and I love to cook, but we're both slightly picky eaters. It's a next-gen recipe manager powered by AI, fine- tuned on techniques from top chefs and food scientists. I wanted something that would let us cook great meals tailored to our preferences and remember recipes we love. Key features: AI recipe generation using culinary expertise Recipe editing for personalization "Cook by photo" - upload a dish pic, get a recipe (surprisingly…

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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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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Dev tools · May 2026 · github.com