Predictionary is a forecasting platform that combines user-submitted predictions with AI-driven reputation weighting to generate ranked forecasts on global topics. It quantifies each contributor's past accuracy, aggregates inputs, and provides a real-time dashboard of emerging and trending outcomes for analysts, investors, researchers, and businesses.
Funding
Funding not disclosed
Founders
Product
Problem
Accurately forecasting future events across diverse topics is challenging because individual predictions vary in quality, and there is no systematic way to combine expert insight with data-driven analysis to identify reliable trends.
Solution
Predictionary provides a platform that merges human expertise with AI-driven reputation weighting to produce aggregated forecasts. Users submit predictions on global topics, and the system evaluates each contributor’s historical accuracy to assign reputation scores. AI algorithms then weight and combine these inputs, generating ranked forecasts that highlight emerging and trending outcomes. The platform continuously updates rankings as new predictions arrive, allowing users to monitor shifts in consensus. Operating in beta, Predictionary incorporates user feedback to refine its weighting models and improve forecast reliability.
Target Audience
Primary users include analysts, investors, researchers, and businesses that require data-informed insights into future market, political, and societal developments.
Features
- Reputation system that quantifies each predictor’s past performance to influence forecast weighting
- AI engine that aggregates and ranks predictions across a wide range of global topics
- Real-time trend tracking dashboard showing emerging, trending, and closing forecasts
- Ability for users to submit and update predictions, fostering a collaborative forecasting community
- Beta feedback loop that collects user input to iteratively improve the prediction algorithms