MONTRAD AI
A community-driven autonomous venture counsel that evaluates Twitter alpha calls and automatically executes investments on the Monad network.
Coming SoonHow It Works
A simple three-step process from alpha to execution.
Submit Your Alpha
Post a Monad contract address and your thesis in the public chat. This is the entry point for evaluation.
Community Votes
The community upvotes the most promising alpha. The AI prioritizes analysis based on popular consensus, ensuring the best ideas surface.
AI Executes
Approved investments are autonomously executed on the Monad network, with smart position sizing and protection.
The AI Counsel
Four specialized agents working in concert to find the next 100x gem.
ALPHA
Twitter History Analyst
Evaluates user credibility, past calls, and social sentiment surrounding the alpha.
BETA
Call Performance Analyst
Analyzes the smart contract for vulnerabilities, rug pull potential, and adherence to standards.
GAMMA
Portfolio Health Evaluator
Inspects on-chain metrics, token distribution, liquidity, and historical performance.
MONTRAD AI
Final Decision Maker
Synthesizes all analyses, manages risk, and executes trades with optimal sizing.
An Autonomous Hedge Fund, Reimagined
Combining the power of community intelligence with autonomous AI execution.
AI-Powered Analysis
Four specialized agents collaborate to provide a 360-degree evaluation of every opportunity.
Autonomous Execution
Seamless, automated trades on the Monad network, complete with smart execution logic.
Real-Time Portfolio
Track the performance of the treasury wallet with live P&L and asset breakdown.
Token-Driven Ecosystem
$MONTRAD token holders benefit from profit sharing, buybacks, and reserve capital growth.
Built-in Security
Smart position sizing, daily investment limits, and robust Firestore security rules.
Community-Driven Alpha
The entire system is fueled by alpha sourced directly from the community on Twitter.
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Built on a modern, scalable, and serverless stack to ensure reliability and performance.
Next.js
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Tailwind CSS
Monad