Lightning Rod: Training Data From News - Generate training data from the news, no manual labels

Instantly generate training data from real-world news, no manual labeling. Pick a topic (e.g. politics, sports) and criteria (e.g. forward-looking questions with binary labels) and we generate a labeled dataset for you.

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Hi Product Hunt! 👋

I'm Ben, founder of .

Training data is the biggest bottleneck in AI. Great projects die because labeled data is too expensive, too slow, or too hard to generate at scale — especially for fine-tuning and evaluating LLMs.

Lightning Rod automatically generates LLM-ready training data from public sources (or your own) — no labeling or annotation required ⚡

  • From idea to dataset in minutes. Define your criteria and we generate labeled data from global news sources, public records, or your own docs.

  • Provenance in every row. Every record links back to its source, so you can audit exactly what went into your model.

  • Quality built-in. Automated scoring and filtering strips out low-confidence examples and outputs that don't follow your instructions.

  • It works. Our uses real-world outcomes to create scalable supervision. We’ve used this to  and to train domain expert AIs on everything from to .

💻 Create your first dataset for free:

We'll be here all day to answer questions. Tell us in the comments what specific dataset you want to build — we'll help you get it running!

 I want to build a binary forecasting dataset, focused on clinical trial outcomes.

very solid product