Lightning Rod

Hey Product Hunt — Ben here, founder of Lightning Rod Labs. Frontier AI is powerful, but it is not built for forecasting. Frontier models are trained to produce plausible text, not well-calibrated probabilities about what will actually happen. They are also expensive to run inside agentic workflows, where bots may need to forecast thousands of markets, events, or decisions. We trained Foresight to make better predictions at lower inference cost. Foresight is an AI forecasting API with better accuracy at a lower inference cost. It is trained using our Future-as-Label method (Spotlight at the ICML 2026 AI Forecasting Workshop), which uses real-world outcomes over time for training. Instead of hand-labeling datasets or imitating generic text, Foresight learns from what actually happened. Foresight beats frontier models 100x larger on live prediction benchmarks, like ProphetArena and ForecastBench, with a particularly large lead in prediction market categories like Sports & Politics. Our API is OpenAI-compatible, so developers can easily swap it into existing workflows. Better accuracy. Cheaper inference. OpenAI-compatible API. Use code PHFORESIGHT for $50 free API credits this month. We'd love feedback from builders working on forecasting agents, prediction tools, or any workflow where better forecasts matter.