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N0x

LLM inference, agents, RAG, Python exec in browser, no back end

Details

External ID
47421950
Source
HN
Company
—
Product
N0x
Website domain
vercel.app
Launched
March 18, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.5393603936039361
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Built this because I was tired of every AI tool shipping my data to someone else server n0x runs the full stack LLM inference via WebGPU, autonomous ReAct agents, RAG over your own docs, sandboxed Python execution via Pyodide all inside a single browser tab. No account No keys No backend Models download once, cache in IndexedDB permanently. Biggest challenge was context window budgeting for the agent loop and making the WASM vector search non-blocking. Happy to talk architecture.GitHub: https://github.com/ixchio/n0x | Live demo: https://n0x-three.vercel.app

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
llm inference with rag and code execution in browser
Manually corrected
False

Could you build this?

Yes The application combines pre-existing open-source web technologies (WebLLM for WebGPU inference, Pyodide for Python execution, and client-side vector/search libraries) in a static React frontend.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 163 launches clear the similarity bar, closest 8 shown.

Attention rank: #73 of 164 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 130 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.