29 Interest Score
8 Discussions
0.28 Engagement
Mar 2026 Launched
View on Product Hunt

Home Cooking Shouldn’t Be Hard Great food takes time, attention, and skill, things most of us don’t have every day. Existing kitchen appliances automate parts of cooking, but still lock you into presets, rigid recipes, or constant supervision. We built Nosh to change that. Nosh One is an AI robot chef that cooks 500+ dishes from cuisines across the world, right in your kitchen.

What the Community Said

Hello Product Hunt folks! 👋 I’m excited to introduce you to Nosh, an AI-powered cooking robot built to transform how we cook at home. Cooking every day can be time-consuming, inconsistent, and sometimes intimidating. We wanted to change that. Nosh combines robotics, AI, and precise temperature control to cook meals automatically, helping people enjoy fresh, home-cooked food without the hassle. Nosh handles the entire cooking process; measuring ingredients, controlling heat, stirring, and timing,

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Hey PH folks! 👋 Nosh is an AI robo chef for your home. We’re trying to make good home-cooked & healthy food, accessible and convenient. The idea is simple: you load the ingredients, and Nosh does the cooking. You can personalise your food, tweak recipes, plan meals, generate grocery lists and more.—just without all the usual effort. If you like what we’re building, would really appreciate your support 🙌

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What I had in mind was a real robot actually cooking, but your approach seems more practical. I’m curious how does it determine whether the ingredients have been added correctly?

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Very cool! Does it always only cook specific recipes?

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looks very usefull for someone like me who has no time to make great food! how can I order one?

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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