Show HN: WhiteLightning – ultra-lightweight ONNX text classifiers trained w LLMs

We’re Volodymyr and Volodymyr—two developers from Ukraine building WhiteLightning. It’s a tool that turns large LLMs (Claude 4, Grok 4, GPT-4o via OpenRouter) into tiny ONNX text classifiers that run anywhere—even on drones at the edge.

Why we built this: Many developers want custom models (spam filters, sentiment analysis, PII detection, moderation tools), but don’t want to deal with constant API calls or deploy heavy models in production.

How it works: WhiteLightning uses LLMs to generate training data and distills it into KB-sized ONNX models you can run on any device and in any language. Just describe your task in a sentence, grab the ONNX model, and run it locally—Python, JS, Rust, Java, Swift, C++, you name it.

Try it instantly in your browser: https://whitelightning.ai/playground.html

Code & docs: https://github.com/Inoxoft/whitelightning

Community model library: https://github.com/Inoxoft/whitelightning-model-library

We’d love your feedback—what works, what doesn’t, and what to improve.