CrowdFund

🌟 Demo & Submission

🎥 Demo: YouTube Link

🚀 Submitted to: TartanHacks 2025

Note: One fun little sidequest we went on throughout the hackathon is submitting a patch to XRP Ledger's Python SDK because we were having issues with the existing implementation of parallelism. We tried our best to make sure this issue was fixed for future hackers! 🤞

💡 Inspiration

We set out to redefine crypto trading by blending AI automation with decentralized finance. Traditional trading tools often require constant monitoring, manual execution, and complex strategies—we wanted to change that. Our platform empowers users to build AI-driven workflows that analyze, strategize, and execute trades automatically.

More than just automation, we also wanted to create a developer-friendly ecosystem where anyone can build AI agents, protect their IP with Story Protocol, and earn royalties as others use their creations.

⚡ What It Does

🖌️ Create Custom Workspace – Create or join a custom workspace to build your agentic flows; multiplayer mode enabled!

🤖 AI-Driven Workflows – Select AI agents to fetch market data, analyze trends, and make trading decisions.

🔗 Connect Your Crypto Wallet – Seamlessly integrate with your wallet for direct trade execution.

💰 Automated Trades – AI agents can execute buy/sell orders straight from your wallet.

🛠️ Developer Royalties – Create AI agents, secure IP via Story Protocol, and earn royalties from agent usage.

🎟 Ripple Integration – Users earn tokens when they run workflows & profit from currency swaps.

🛠️ How We Built It

Our stack includes:

• AI & ML Algorithms – For market analysis and trade optimization.
• Smart Contracts – Enabling royalties & secure agent ownership.
• XRP – For token rewards and cross-border currency swaps.
• Story Protocol – Tokenizing IP and handling developer payments.

🚧 Challenges We Faced

• Optimizing AI Trading Strategies – Balancing speed, accuracy, and risk management.
• Seamless Wallet Integration – Ensuring smooth transactions across multiple blockchains.
• Building a Royalty System – Implementing Story Protocol to track and compensate AI agent developers.

🏆 Accomplishments & Impact

✅ Automated trading workflows that actually work 🎯
✅ A functioning AI-agent marketplace with royalty distribution 💡
✅ Ripple-powered token economy for users & developers 💰

🔮 What's Next?

🚀 Expanding AI Models – Enhancing strategy prediction and risk assessment.
🌍 Multi-Chain Support – Integrating with more blockchain networks.
📈 Advanced Trading Features – Adding options trading, staking, and risk management tools.

👾 Join the future of AI-driven crypto trading! 🚀

Sponsor Prizes (Explanation of Technical Implementation)

Attached below are some ways that we implemented the following sponsor prizes:

Best Use of Story Protocol

• Tokenized AI Agents as IP assets on-chain when developers uploaded their code
• Paid developers royalties when their AI agents were used in workflows

XRP Ledger Challenge

• Issued community tokens using xrpl-py
• Experimented with ElizaOS personalities and created a Crowdfund Agent to move to a human-in-the-loop approach as a future step
• Submitted a PR to xrpl-py (look to top)
• Not fully working implementation of swaps via bridging on XRP's technology, but ultimately didn't have enough time so we decided to focus on submitting the PR

Best Use of AI/Gen AI (MLH)

• Orchestrated agents for automated trading workflows
• Used Langchain + Langgraph
• Used DALLE-2 for image generation for on-chain IP assets

Best Use of Cloudflare (MLH)

• Stored AI agents in the cloud
• Were storing photos in the cloud for part of the hackathon but settled on locally stored cute icons instead

Best Domain Name by GoDaddy (MLH)

• www.thisismorefunthan.work
• Building this project was pretty fun 😉

Memes (Shoutout to Greptile)