Revenue Model
Gigabrain’s Revenue Structure and Performance
Revenue Sources
Gigabrain generates revenue through multiple streams:
Investment Funds
Performance fees from multiple AI-managed funds:
- Alpha Fund: 10% performance fee initially (planned increases in future phases)
- Additional specialized funds to be launched based on market demand and strategy validation
- Each fund targets specific trading strategies and risk profiles
Terminal Access
Two-tiered access model:
- Token-based: Hold 1M BRAIN tokens (current model)
- USDC Subscriptions: To be introduced as token price appreciation makes token-based access cost-prohibitive
- Tiered subscription plans with varying feature access
- Enterprise plans for institutional clients
- Custom solutions for high-volume traders
Trading Fees
Revenue from direct trading execution (Subject to change):
- Base trading fee of 0.1% per trade
- Volume-based fee discounts for active traders
- Additional fees for advanced order types and features
- Integration with major DEXs and CEXs for seamless execution
API & Data Services
Enterprise and institutional offerings:
- Direct API access to Gigabrain’s intelligence engine
- Custom data feeds and analytics
- White-label solutions for trading platforms
- AI agent integration for automated trading systems
- Data provision for hedge and liquid funds
Revenue Allocation
Platform revenue follows a transparent allocation formula:
Operational Expenses (50%)
- Team & talent
- Development & infrastructure
- Marketing & growth
Community Treasury (50%)
- Token Buybacks: 50% of community treasury
- Community Rewards: 50% of community treasury
The platform implements a systematic buyback program where a portion of profits is used to purchase BRAIN tokens from the market, creating consistent buy pressure and ensuring token holders directly benefit from Gigabrain’s success.
Community Rewards
Community rewards are distributed to active participants through:
- Staking incentives for long-term token holders
- Trading competitions with BRAIN token prizes
- Data contribution rewards for sharing alpha and market insights
- Bug bounties and platform improvement suggestions
- Community content creation and educational resources
The allocations are subject to change based on market conditions and platform growth. Staking rewards may be converted to additional token buybacks based on regulatory requirements.
Performance Metrics
Test Fund Results
The Gigabrain Alpha Fund has demonstrated strong initial performance:
- 92.86% win rate (13/14 trades) in beta testing
- 1,345 USDC profit from 4,900 USDC initial capital (27.4% return)
- Top performer: Short position on $ENA
- Performance verified through on-chain transactions
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