🏛️ Virtual VC Boardroom

Multi-Agent Investment Intelligence Platform — Built for the Swarms ACM Hackathon 2026

Four AI agents: Security Auditor, Quant, Sentiment Analyst, and Lead Partner - debate the investment thesis of any cryptocurrency token in real-time.

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🎯 What It Does

The Virtual VC Boardroom simulates a hedge fund investment committee meeting. When a user inputs any token or protocol:

1. 🔒 Security Auditor — Hunts for red flags: rug-pull risks, contract vulnerabilities, centralization vectors
2. 📊 The Quant — Analyzes tokenomics: FDV, MC/FDV ratio, inflation rates, on-chain metrics, fair value models
3. 🐦 Sentiment Analyst — Scans X/Twitter narrative: real hype vs. fake hype, influencer consensus, community health
4. 🏛️ Lead Partner — Synthesizes all reports and delivers a GO / NO-GO / HOLD verdict with recommended portfolio allocation

Why It Stands Out

• Multi-Agent Debate System: Not just Q&A — agents debate and challenge each other's findings
• Frenzy Mode: Toggle to activate a simulated bonding curve trading terminal for the agent's own token ($VCB)
• Production-Ready Backend: Built on the official swarms Python framework with FastAPI
• Stunning UI: Glassmorphic dark dashboard with soundwave animations, typing indicators, and dynamic glows

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🚀 Quick Start

Frontend (React + Vite)

cd frontend
npm install
npm run dev

The dashboard launches at http://localhost:5173 with full mock mode — no API keys needed.

Backend (Python + Swarms SDK)

cd backend
pip install -r requirements.txt

# Set your API key
set OPENAI_API_KEY=your-key-here

# Run the server
python main.py

The API launches at http://localhost:8000 with Swagger docs at /docs.

CLI Mode (Quick Test)

python agents.py SOL
python agents.py JUP
python agents.py WIF

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🔥 Frenzy Mode

Toggle the FRENZY switch in the top-right to activate:

• 📈 Bonding Curve Chart — Real-time price visualization
• 📖 Order Book — Simulated bid/ask spread
• ⚡ Live Trade Feed — Streaming buy/sell transactions
• 📊 Migration Progress — Progress toward DEX listing threshold

This demonstrates how the agent would function as a tokenized asset on the Swarms Marketplace.

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🏗️ Architecture

swarms/
├── frontend/               # React + TypeScript + Vite
│   ├── src/
│   │   ├── components/     # BoardroomTable, DebatePanel, VerdictCard, FrenzyTerminal
│   │   ├── data/           # Mock debate scripts (SOL, JUP, WIF)
│   │   ├── utils/          # Frenzy mode bonding curve simulator
│   │   └── App.tsx         # Main orchestrator
│   └── package.json
├── backend/                # Python + Swarms SDK + FastAPI
│   ├── agents.py           # 4 Agent definitions with system prompts
│   ├── main.py             # FastAPI server
│   └── requirements.txt
└── README.md

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🏆 Hackathon Compliance

Requirement	Status
Build a high-quality agent for real-world use in DeFi/Finance	✅ Multi-agent investment committee
Enable Frenzy Mode	✅ Full bonding curve + trade terminal
Publish on Swarms Marketplace	✅ Published on Swarms World
Tokenize and list for sale	✅ $VCB token is live & trading
Real-world utility	✅ Investment analysis across any Solana token

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🛠️ Tech Stack

• Frontend: React 19, TypeScript, Vite, Framer Motion, Recharts
• Backend: Python 3.13, Swarms SDK, FastAPI, Uvicorn
• Chain: Solana
• Agent Framework: Swarms multi-agent orchestration

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📄 License

MIT — Built for the Swarms ACM Hackathon 2026