tCast is a prediction market project exploring how privacy-first participation could be enabled in on-chain forecasting.
Most existing prediction markets expose positions, strategies, and beliefs by default. This limits participation from serious forecasters and institutions. tCast aims to investigate alternative approaches that reduce information leakage while preserving fair outcomes.
The project plans to explore the use of privacy-preserving techniques, AI-assisted resolution, and validator-based settlement as possible building blocks for private prediction gameplay.
This repository contains the tCast litepaper, which outlines:
- The problem with transparent-by-default prediction markets
- The motivation behind privacy-first prediction markets
- The high-level direction tCast intends to explore
- Early assumptions, constraints, and open questions
The litepaper is intended to communicate intent and direction, not finalized protocol design or specifications.