Lightning Rod
Turn real-world data into training datasets fast Discussion | Link.
Our Take
Most founders figure out the hard way that your model is only as good as the garbage you trained it on. Lightning Rod grabs messy public data—news, SEC filings, Wikipedia—and flips it into verified, production-ready training sets with full provenance tracking. Their "Future-as-Label" methodology is genuinely smart: it labels data based on what actually happens, not what you guess might happen. If you're serious about model quality, this is the unglamorous infrastructure play that could actually move the needle.
Key Facts
The people behind Lightning Rod
Ben Turtel
profileFounder & CEO
Founder & CEO of Lightning Rod Labs. 10+ years in ML/AI/NLP. Former L5 Software Engineer at Google (Applied AI). Founded Kazm (sold to Harvard), Rivet @ Area 120 (acquired by Google Assistant). Masters in Scientific Computing from NYU. Mentor at StartX and The Garage.
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