WhiteLightning
LLM Distillation Tool
WhiteLightning launched on August 2, 2025 with 20 votes, #648 of 8,530 launches that month and more than 90% of that year's launches.
What it does
Build fast, compact AI classifiers with LLM prompts. WhiteLightning automatically generates data, trains a small model (<1MB), and deploys anywhere, including mobile, web, or embedded directly from your terminal.
Does a similar job
all alternatives →- WUWhiteLightning – ultra-lightweight ONNX text classifiers trained w LLMs2025 · whitelightning.ai · ▲8
Hey HN, 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…
- APAutomatic prompt optimizer for LLMs2023 · promptperfect.jina.ai · ▲126
TuneTrain.ai2025 · tunetrain.ai · ▲79Do you know that Small Language Models (SLM) can outperform LLMs if trained (fine-tuned) on domain specific datasets, like your companies knowledge base? The issue: fine-tuning a SLM usually requires a dataset of 10k - 100k records, which is huge. I created a platform for applying "human in the loop" augmentation techniques on your small dataset, so that you can start with maybe 100 records and build-up quickly huge datasets and launch a training without prior knowledge. I implemented 2 techniques, based on LLM distillation, however: more to come. HN, what Do you think? Do you see value in…
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