LOAR
LOAR: decentralized narrative control in collaborative universes through consensus mechanisms.
Problem Statement
In our expanding multiverse of collaborative content creation, determining what's "canon" has always been centralized and contentious. LOAR disrupts this paradigm by creating a decentralized consensus mechanism where narrative control is determined by community ownership, engagement, and tokenized governance.✨ NFT-Powered Canon Control – OpenSea NFT integration determines narrative authority and voting power📚 Decentralized Character Wikis – Community-built lore with ownership verification🗳️ Tokenomics Governance – Token-weighted voting on canonical storylines and character development🔐 Blockchain Authentication – Secure wallet-based authentication system🧊 Decentralized Video Storage – Walrus protocol integration for distributed content hosting💹 Dynamic Content Markets – Create, trade, and monetize narrative elements🌌 Cross-Universe Collaboration – Build interconnected stories across multiple creator universes
Solution
TypeScript - Type-safe development React, TanStack Query, Tanstack Router - Dynamic frontend Hono & tRPC - Performant API layer WAGMI - Standard defi connector for frontend Ethereum & OpenSea - Blockchain integration Walrus Protocol - Decentralized content storage Dynamic - Wallet Connection Evm smartcontracts + FoundryWe used OpenSea's MCP server to query NFT data to inform our character and universe wiki pages. New video content is created with generative AI, informed by these pages.New videos are generated, then stored on and retrieved from Walrus to provide censorship resistance for video content.We used Dynamic for Auth to enable ownership of cinematic universes. Everytime a new "universe" is formed, tokens are minted to the creator's wallet.
Hackathon
ETHGlobal New York 2025
2025
Prizes
- 🏆
Best app using Walrus for storage
Walrus
Contributors
- Tanguyvans
46 contributions
- Principursa
24 contributions
- superman32432432
12 contributions
- madschristensen99
12 contributions
- EcosystemNetwork
7 contributions