Guardian of galaxETHs
a fully on-chain game where players stake ETH, use quadratic funding (QF) to choose public goods, enhancing Ethereum’s security and decentralization while building communities and gaining reputation.
About
The problem it solves Guardian of galaxETH addresses key challenges in blockchain gaming, particularly around token sustainability, player engagement, and public goods funding. Most blockchain games fall into the trap of “play-to-earn” models that rely heavily on creating new tokens, leading to volatility and Ponzi-like economies. Guardian of galaxETH takes a radically different approach by using ETH as the only token in the game. This eliminates the need for new tokenomics and focuses on creating sustainable, engaging gameplay without worrying about managing new price charts or inflationary economies. Players can use the game to: Play to learn, not play to earn: The game educates players about staking, quadratic funding (QF), and the importance of public goods. By playing, they understand governance mechanisms and how communities can work together for common goals. Sustainable blockchain gaming: The game generates $GETH, a non-tokenized in-game reward tied to ETH staking, meaning no new tokens are minted, avoiding inflation and financial complexity. All on-chain, privacy protected: Every action and result is on-chain, providing transparency, while using privacy-preserving technologies to protect user data. Infrastructure for autonomous worlds: The self-sustaining mechanics in Guardian of galaxETH can serve as a blueprint for other autonomous worlds. It offers an interoperable, permissionless framework for creating positive-sum ecosystems, contributing to the security and growth of Ethereum.
How it's made
Challenges we ran into First Time Doing Full-Stack Development This was our first experience with full-stack development. We had to read a lot of documentation to understand how to build both the front-end and back-end of our game. Deploying and integrating these components was uncharted territory for us, which presented a steep learning curve. How We Overcame It: We divided the workload and dedicated time to learning each part of the stack. Collaboratively, we set up regular meetings to troubleshoot issues and share insights. Utilizing online tutorials and community forums also accelerated our learning process. Attempting to Integrate Ora for In-App AI Capabilities We wanted to integrate Ora to enhance our game with AI capabilities. However, upon reviewing the documentation, we discovered that Ora could only be used through tools like Etherscan, which didn't align with our application's requirements. How We Overcame It: trying to contact the mentor of Ora to solve the problem....