The problem PredictFlow solves

PredictFlow addresses the inefficiencies and limitations of traditional prediction markets by providing a decentralized and transparent platform for users to engage in forecasting events. Key advantages include:

Trustless environment: By leveraging blockchain technology, PredictFlow eliminates the need for intermediaries, ensuring a secure and tamper-proof ecosystem for market predictions.
Automated dAPI sponsor wallet management: PredictFlow utilizes Gelato, a decentralized automation platform, to automate funding of multiple dAPI sponsor wallets, streamlining the process and reducing manual intervention.
Accessibility: With a user-friendly interface and seamless integration with various blockchain networks, PredictFlow enables anyone to participate in prediction markets, regardless of their technical expertise.
Reduced fees and friction: PredictFlow minimizes transaction costs and complexities associated with traditional prediction markets, making the platform more accessible and cost-effective for users.
Real-time market insights: Users can stay up-to-date with the latest market trends and events, enabling informed decision-making and increased accuracy in predictions.
In summary, PredictFlow revolutionizes the prediction market landscape by offering a decentralized, secure, and user-friendly platform that streamlines operations and promotes accessibility, empowering users to make data-driven decisions with confidence.

Challenges I ran into

While building PredictFlow, I encountered a few challenges that helped me learn and grow as a developer:

Importing external libraries: Hardhat does not support imports via HTTPS, which initially caused issues when attempting to import the Gelato library. I resolved this by downloading the required contracts and importing them locally.

Smart contract interaction: Understanding the interaction between multiple smart contracts and off-chain sources, such as API3 and Gelato, required thorough research and experimentation. By studying the documentation and engaging with the developer community, I was able to implement the necessary interactions between the contracts.

Gas optimization: As with any blockchain-based application, managing gas costs was a crucial aspect to ensure a cost-effective solution for users. I spent time optimizing smart contract functions and evaluating the trade-offs between different implementation approaches to strike a balance between gas efficiency and functionality.

Testing and debugging: Writing tests for the smart contracts and addressing edge cases proved challenging at times. I overcame these issues by diligently testing each function, implementing best practices, and seeking feedback from peers to ensure the robustness of the smart contracts.

By persistently working through these challenges, I gained valuable insights into blockchain development