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).
Sipp
Run AI in the browser 3x faster. Zero dependencies.
Sipp is a fast open-source AI inference library for the web. Run models directly in the browser up to 3x faster with zero dependencies. Start local, then seamlessly scale to desktop, servers, or bare-metal using a single, unified API for both edge and cloud endpoints.
Hi PH! 👋 I’m Jeremy, founder of Noumena Labs // Sipp :)
We built Sipp to be a simple, unified API for running AI models locally, through providers, or via self-hosted gateways. It’s one zero-dependency library that enables fast in-browser inference, reaching up to 3x the tok/s of popular alternatives in our benchmarks.
Our goal with Sipp is to make embedded and local AI more practical without sacrificing the utility of running larger models through provider APIs. Local AI opens up a lot of powerful use cases like continual monitoring, decision-making, chat and help bots, games, and so much more. Our mission is to help developers build things that start to feel possible when tokens are essentially “free.”
Here’s what makes Sipp different today:
🚀 Blazing-Fast WebGPU: Run models right in the browser with no installs and built in model caching support. In our benchmarks, Sipp reached 3x-5x faster time-to-first-token and decode speed compared to other browser runtimes.
🔀 One Unified API: Write your code once. Switch or split traffic seamlessly between local browser execution, cloud gateways, and remote providers without rewriting your application.
🌍 Start Local, Scale Anywhere: While our initial focus is the browser, the same client API is exposed through Node, Rust, Python, bare metal, or your own server infrastructure. We currently support CUDA, Vulkan, and Metal backends, and plan to add more as we flush the library out.
🧃 Zero Dependencies: 100% open-source, type-safe, and built in Rust / C++.
We have a live demo right on our site where you can pick a model and watch it run 100% on-device in your browser. We also provide a benchmarking tool, so you can run your own tests and directly compare results.
I’ll be hanging out here all day! Happy to go deep on the technical details, implementation, or code. And if you have specific use cases you’d like to explore, I’d love to hear about those too.
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About Sipp on Product Hunt
“Run AI in the browser 3x faster. Zero dependencies.”
Sipp was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #146 on the daily leaderboard. Sipp is a fast open-source AI inference library for the web. Run models directly in the browser up to 3x faster with zero dependencies. Start local, then seamlessly scale to desktop, servers, or bare-metal using a single, unified API for both edge and cloud endpoints.
Sipp was featured in Open Source (68.6k followers), Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 218k products, making this a competitive space to launch in.
Who hunted Sipp?
Sipp was hunted by Jeremy J. Hartmann. 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 Sipp stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jeremy J. Hartmann
Hi PH! 👋 I’m Jeremy, founder of Noumena Labs // Sipp :)
We built Sipp to be a simple, unified API for running AI models locally, through providers, or via self-hosted gateways. It’s one zero-dependency library that enables fast in-browser inference, reaching up to 3x the tok/s of popular alternatives in our benchmarks.
Our goal with Sipp is to make embedded and local AI more practical without sacrificing the utility of running larger models through provider APIs. Local AI opens up a lot of powerful use cases like continual monitoring, decision-making, chat and help bots, games, and so much more. Our mission is to help developers build things that start to feel possible when tokens are essentially “free.”
Here’s what makes Sipp different today:
🚀 Blazing-Fast WebGPU: Run models right in the browser with no installs and built in model caching support. In our benchmarks, Sipp reached 3x-5x faster time-to-first-token and decode speed compared to other browser runtimes.
🔀 One Unified API: Write your code once. Switch or split traffic seamlessly between local browser execution, cloud gateways, and remote providers without rewriting your application.
🌍 Start Local, Scale Anywhere: While our initial focus is the browser, the same client API is exposed through Node, Rust, Python, bare metal, or your own server infrastructure. We currently support CUDA, Vulkan, and Metal backends, and plan to add more as we flush the library out.
🧃 Zero Dependencies: 100% open-source, type-safe, and built in Rust / C++.
We have a live demo right on our site where you can pick a model and watch it run 100% on-device in your browser. We also provide a benchmarking tool, so you can run your own tests and directly compare results.
I’ll be hanging out here all day! Happy to go deep on the technical details, implementation, or code. And if you have specific use cases you’d like to explore, I’d love to hear about those too.