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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Wire RN
Generative UI for React Native, rendered native
Wire RN is an open-source (MIT) generative-UI SDK for React Native. An AI agent sends a UI payload over A2UI, Google's open protocol for agent-driven interfaces, and Wire RN renders it as schema-validated native components. Examples such as agent-driven onboarding, in-app coaching, and dynamic flows on mobile, where every other generative-UI SDK only does web.
Hey Product Hunt. I'm Malik, an AI-native mobile engineer. I've spent 9 years in React Native, and I built Wire RN because the thing I wanted didn't exist on mobile.
Generative UI (GenUI) represents a fundamental shift from predefined interfaces to real-time, context-aware UI generation powered by AI. You let an AI return an interface instead of a wall of text. But every SDK doing this (Tambo, Thesys, Crayon, v0, CopilotKit) is React for the web. If you build mobile, you were stuck wrapping web views in a native app, or building it all yourself.
Wire RN is the native answer. An agent sends a UI payload, Wire RN maps it to schema-validated React Native components, and a real native screen comes out. No WebView. It speaks A2UI, Google's new open protocol for agent-driven UI, so your agent and your app talk in a standard instead of a custom hack.
The demo is a multi-agent coach built on LangGraph. A supervisor routes between a coach agent and a journal agent, and they drive native cards across two phones. The hard part wasn't the rendering. It was the orchestration: keeping the model out of the control path so it stops looping. Intelligence in the leaves, control flow deterministic.
It's MIT licensed. Free, on GitHub, npm i wireai-rn. This is an early release and I want it shaped by real use.
So my ask: tell me where agent-driven native UI is actually useful, and where it breaks. In-app coaching? Dashboards? I want the brutal version. Does this solve a real problem for you, or is it a solution looking for one?
I'll be here all day answering every comment. Thanks for taking a look.
About Wire RN on Product Hunt
“Generative UI for React Native, rendered native”
Wire RN was submitted on Product Hunt and earned 8 upvotes and 1 comments, placing #53 on the daily leaderboard. Wire RN is an open-source (MIT) generative-UI SDK for React Native. An AI agent sends a UI payload over A2UI, Google's open protocol for agent-driven interfaces, and Wire RN renders it as schema-validated native components. Examples such as agent-driven onboarding, in-app coaching, and dynamic flows on mobile, where every other generative-UI SDK only does web.
On the analytics side, Wire RN competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Wire RN performed against the three products that launched closest to it on the same day.
Who hunted Wire RN?
Wire RN was hunted by Malik CHOHRA. 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.
For a complete overview of Wire RN including community comment highlights and product details, visit the product overview.
Malik CHOHRA