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N0X
Run any LLM in your browser — offline, private, zero cloud.
Since launch 1: added a ReAct agent loop that runs tools (web search, Python, docs, image gen) autonomously. Hybrid RAG now uses BM25 + vector search fused with RRF + MMR reranking way better recall than vector-only. Auto-routing picks local vs cloud per message complexity. Chrome AI (Gemini Nano, zero download) works alongside WebGPU, Ollama, and any OpenAI-compatible endpoint. Persistent semantic memory across sessions. GPU-tier detection now blocks models that'd OOM your device.
Built this because I was tired of pasting sensitive docs
into ChatGPT and just hoping for the best.
Started as a weekend experiment "how hard is it to run
Llama in a browser tab?" Turns out, hard. WebGPU is wild.
Half my time went into worker thread hell and figuring out
why the model would just freeze at 0% forever.
The part that surprised me most: hybrid search (BM25 +
vector + reranking) on documents actually works really well
in WASM. I expected it to be garbage. It's not.
This is the 2nd launch because the first version was
basically just "load a model, chat with it." Version 2 added
an agent that can actually browse, run code, search your
docs, and generate images all chained together, no backend.
Happy to answer anything. Especially if something's broken
on your GPU that's still the hardest part to debug remotely.
About N0X on Product Hunt
“Run any LLM in your browser — offline, private, zero cloud.”
N0X was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #78 on the daily leaderboard. Since launch 1: added a ReAct agent loop that runs tools (web search, Python, docs, image gen) autonomously. Hybrid RAG now uses BM25 + vector search fused with RRF + MMR reranking way better recall than vector-only. Auto-routing picks local vs cloud per message complexity. Chrome AI (Gemini Nano, zero download) works alongside WebGPU, Ollama, and any OpenAI-compatible endpoint. Persistent semantic memory across sessions. GPU-tier detection now blocks models that'd OOM your device.
On the analytics side, N0X competes within Developer Tools, Artificial Intelligence, GitHub and Product Hunt — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how N0X performed against the three products that launched closest to it on the same day.
Who hunted N0X?
N0X was hunted by ixchio. 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.
ixchio