The Open Standard for Generative UIMake your AI apps respond with interactive UI components like cards, tables, forms and charts instead of text. Streaming-native, token-efficient, and works with any AI model (GPT,Claude,M2.5) and agent framework like ai-sdk, Google ADK
Hey Product Hunt! 👋
Parikshit here, co-founder of https://thesys.dev
Introducing OpenUI - the open standard for generative UI
Why we built this:
Over the past two years, Thesys has powered generative UI for 10,000+ developers through our managed platform, C1.
At that scale, we kept hitting the same wall. JSON : the standard format everyone (including us) used for structured UI output, kept breaking in production.
It's too verbose, so rendering felt slow. It's too rigid, so custom design systems fought against it. And LLMs kept producing malformed output because deeply nested JSON isn't what they were trained to generate. We tried better validation, better prompts. The error rates improved. The problems didn't go away.
So we designed a new format. OpenUI Lang uses code-like syntax that mirrors how LLMs actually learned structure, from billions of lines of code.
The results:
🌱 67% fewer tokens than json-render → faster responses, lower cost
⚡️ 3x faster rendering → compared to our previous JSON-based approach
🎯 Near 0% malformed output → LLMs produce valid OpenUI Lang the way they produce valid functions
🦾 Model-agnostic → Works with all LLMs including OpenAI, Anthropic, Gemini, Mistral, Ollama
📦 Framework-agnostic → Works with your favorite frameworks including Vercel AI SDK, LangChain, CrewAI
📱UI library agnostic → Hook your own design system or the popular ones like ShadCN, Radix and so on.
Get started:
📖 Docs → openui.com/docs
🎮 GitHub → github.com/thesysdev/openui
💬 Discord → https://discord.com/invite/Pbv5P...
We're open-sourcing this because we believe generative UI should be shared infrastructure, not locked behind any one platform.
If you're building AI interfaces or thinking about it,we'd love you to try it, break it, and tell us what's missing.
Know more about Thesys : Https://thesys.dev
Looking at how C1 sits between the LLM response and the rendered interface, it feels less like a UI toolkit and more like a middleware layer translating model output into interactive UI.
Especially when the system can transform responses into forms, charts and cards in real time.
Curious how you think about this internally.
Is OpenUI evolving mainly as a UI standard, or closer to an interface runtime layer for LLM-powered applications?
One good update, here! Congrats on the launch, @pgd!
This is one of those "why didn't this exist sooner" ideas. I'm so tired of AI responses being giant walls of text when what I actually need is a table or a card. The fact that it works with GPT, Claude, and Google ADK with just 2 lines of code is really appealing — nobody wants to be locked into one model these days. One question: how does it handle streaming? Like if the AI is generating a chart in real-time, does it render progressively or wait for the full response? That'd be a dealbreaker for chat-style apps where latency matters.
How does OpenUI handle the challenge of adapting to different UI design paradigms and aesthetic preferences between various AI model outputs, given that these can vary significantly?
MCP integration in 2 lines is a strong hook — the real friction in generative UI isn't rendering components, it's getting the LLM to emit the right structure reliably. We build LLM workflows for structured financial data and the jump from "returns JSON" to "returns interactive UI" is where most teams get stuck. Curious: how does C1 handle edge cases where the model's UI intent is ambiguous — do you fall back gracefully or does the developer define constraints upfront?
That is so cool! LLM visuals tend to be really frustrating. super curious to see how you resolved this. Shared with our marketing team :)
Really proud of what we shipped here.
For a year we watched the same three problems surface across 10,000+ developers building AI-generated interfaces: slow rendering, broken output, hard-to-integrate designs. We kept patching. The problems kept coming back.
Turns out they were all symptoms of the same root cause: the format we were using didn't fit how LLMs think.
So we built one that did. The results were immediate. 3x faster, 67% fewer tokens, dramatically more reliable.
Open source and free. Hope it helps.
What types of LLMs and frameworks are currently supported by C1's 2-line integration, and how does it handle UI rendering consistency across different platforms?
An open standard for generative UI is exactly what the ecosystem needs. Having 10K+ developers already using this through Thesys gives it real momentum. Congrats on the launch!
About OpenUI on Product Hunt
“The open standard for Generative UI”
OpenUI launched on Product Hunt on March 11th, 2026 and earned 340 upvotes and 26 comments, placing #4 on the daily leaderboard. The Open Standard for Generative UIMake your AI apps respond with interactive UI components like cards, tables, forms and charts instead of text. Streaming-native, token-efficient, and works with any AI model (GPT,Claude,M2.5) and agent framework like ai-sdk, Google ADK
OpenUI was featured in Open Source (68.3k followers), Developer Tools (511k followers), Artificial Intelligence (466.1k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 182.3k products, making this a competitive space to launch in.
Who hunted OpenUI?
OpenUI was hunted by Parikshit Deshmukh. 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.
Want to see how OpenUI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Parikshit Deshmukh