Lightning Rod SDK turns real-world data — like news, filings, or your own documents — into verified, production-ready training datasets in hours using just a few lines of Python. Skip manual labeling and synthetic guesswork.
Hi Product Hunt! Ben here, founder of Lightning Rod.
We started Lightning Rod because training data is the blocker for most AI projects. Companies have a huge amount of valuable historical data and access to rich public sources, but turning it into something AI can actually learn from is too slow and expensive.
Today we’re launching our training data SDK, which lets you automatically generate LLM-ready training data from raw documents or public sources. We use real-world sources and outcomes over time as supervision — no labeling or annotation required ⚡
Here’s what you get:
Go from idea to dataset, fast. Define your criteria and data source. We collect and label training data for you — ready in minutes, from just a few queries or examples.
Use your own data or start from public data sources. Generate training data from internal documents like emails, tickets, and logs, or from integrated public data sources.
Provenance in every row. Every record links back to its source, so you can audit what went into your model.
Quality built in. Automated scoring and filtering remove low-confidence examples and outputs that do not follow your instructions.
Turn historical data into training signal. We use real-world outcomes over time to convert your timestamped docs, tickets, logs, and news into grounded supervision automatically.
Create your first dataset free at lightningrod.ai. Use code ProductHunt50 for $50 in free credits.
Thanks for checking us out — I’ll be here all day reading and replying. If there’s a dataset or model you’ve wanted to build, drop it in the comments and we’ll help you get started!
About Lightning Rod on Product Hunt
“Turn real-world data into training datasets fast”
Lightning Rod launched on Product Hunt on March 17th, 2026 and earned 355 upvotes and 39 comments, earning #2 Product of the Day. Lightning Rod SDK turns real-world data — like news, filings, or your own documents — into verified, production-ready training datasets in hours using just a few lines of Python. Skip manual labeling and synthetic guesswork.
On the analytics side, Lightning Rod competes within Developer Tools and Artificial Intelligence — topics that collectively have 977.2k followers on Product Hunt. The dashboard above tracks how Lightning Rod performed against the three products that launched closest to it on the same day.
Who hunted Lightning Rod?
Lightning Rod was hunted by fmerian. 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.
For a complete overview of Lightning Rod including community comment highlights and product details, visit the product overview.
fmerian
Hi Product Hunt! Ben here, founder of Lightning Rod.
We started Lightning Rod because training data is the blocker for most AI projects. Companies have a huge amount of valuable historical data and access to rich public sources, but turning it into something AI can actually learn from is too slow and expensive.
Today we’re launching our training data SDK, which lets you automatically generate LLM-ready training data from raw documents or public sources. We use real-world sources and outcomes over time as supervision — no labeling or annotation required ⚡
Here’s what you get:
Go from idea to dataset, fast. Define your criteria and data source. We collect and label training data for you — ready in minutes, from just a few queries or examples.
Use your own data or start from public data sources. Generate training data from internal documents like emails, tickets, and logs, or from integrated public data sources.
Provenance in every row. Every record links back to its source, so you can audit what went into your model.
Quality built in. Automated scoring and filtering remove low-confidence examples and outputs that do not follow your instructions.
Turn historical data into training signal. We use real-world outcomes over time to convert your timestamped docs, tickets, logs, and news into grounded supervision automatically.
We’ve already used data generated with this platform to beat frontier models 100x larger, and to train domain expert models on everything from corporate risk to sports predictions.
Create your first dataset free at lightningrod.ai. Use code ProductHunt50 for $50 in free credits.
Thanks for checking us out — I’ll be here all day reading and replying. If there’s a dataset or model you’ve wanted to build, drop it in the comments and we’ll help you get started!