This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
inbrowser.chat
Private AI chat that runs fully on-device in Chrome
inbrowser.chat is a private AI chat that runs entirely on your device. It uses Chrome's built-in LanguageModel API (Gemini Nano), so every message is processed locally. No server, no API key, no network request. Chats stay in localStorage and work offline. Free, with no monetization planned. It's a demo of what a local LLM can do. Note by Google: this LLM is for summarizing, classifying or rephrasing text, NOT for use cases needing factual accuracy like answering knowledge questions.
Hey Product Hunt 👋
I'm Bas, the maker of inbrowser.chat.
Almost every "AI chat" sends your messages to a server somewhere. I wanted the opposite: a chat where nothing leaves your machine. inbrowser.chat talks to Chrome's built-in Gemini Nano model, so every message is processed locally by the browser itself...no server, no API key, no network request. You can open your Network tab and watch it stay empty.
A few things I'm proud of:
Truly private: conversations live in localStorage and never get uploaded.
Works offline: once the model is downloaded.
One single HTML file: hand-written CSS and vanilla JS, no build step, no dependencies.
It needs Chrome 127+ with the built-in AI model enabled. I'd love your feedback on what on-device AI should do next: better models, file context, anything. Ask me anything!
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About inbrowser.chat on Product Hunt
“Private AI chat that runs fully on-device in Chrome”
inbrowser.chat was submitted on Product Hunt and earned 7 upvotes and 3 comments, placing #69 on the daily leaderboard. inbrowser.chat is a private AI chat that runs entirely on your device. It uses Chrome's built-in LanguageModel API (Gemini Nano), so every message is processed locally. No server, no API key, no network request. Chats stay in localStorage and work offline. Free, with no monetization planned. It's a demo of what a local LLM can do. Note by Google: this LLM is for summarizing, classifying or rephrasing text, NOT for use cases needing factual accuracy like answering knowledge questions.
inbrowser.chat was featured in Web App (122.4k followers), Privacy (11.1k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 142.5k products, making this a competitive space to launch in.
Who hunted inbrowser.chat?
inbrowser.chat was hunted by Bas Hennekam. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Bas Hennekam