One of the primary challenges we encountered was the integration of diverse blockchain technologies within a singular, user-friendly interface. Each blockchain comes with its own set of unique protocols, smart contracts, and interaction methods, which posed significant hurdles in creating a seamless experience across the Farcaster Frames platform. Additionally, ensuring the security and privacy of transactions while maintaining a high level of performance across different blockchain networks required innovative solutions and constant optimization.

Another significant challenge was the development of a framework that could accurately and efficiently predict market sentiments while interfacing with social media functionalities. Crafting a predictive model that could handle the volatile nature of cryptocurrency markets, alongside implementing a reliable attestation mechanism for user predictions, demanded extensive research and testing. These efforts were crucial in bridging the gap between complex blockchain functionalities and a straightforward, engaging user interface that could pave the way for mass adoption.

Sybil Attacks are also something we need to take into consideration. Since any account in Farcaster can vote in the poll, it's hard to find a real signal in the market. We plan to develop a user asset net value-based weighted poll system. This solution will use the value associated with the user's address to differentiate the weight of each user's poll.