Monad (MON) Project Report

1. Executive Summary

Monad is a high-performance, EVM-compatible Layer 1 blockchain that aims to achieve 10,000+ TPS through parallel execution while maintaining full decentralization and Ethereum ecosystem compatibility. Founded by Keone Hon, a former Jump Trading high-frequency trading expert, the project has raised 244 million USD from top-tier institutions including Paradigm and Dragonfly Capital.

The project’s core innovation lies in its Optimistic Parallel Execution mechanism, combined with the MonadBFT consensus protocol, RaptorCast block propagation protocol, and MonadDb state database—together addressing the long-standing serial execution bottleneck of EVM chains. Monad’s full EVM equivalence allows developers to migrate existing Ethereum applications with zero code changes, greatly lowering ecosystem entry barriers.

The MON token has a total supply of 100 billion, with 38.5% allocated to ecosystem development. The project held a public offering on Coinbase from November 17–22, 2025, at 0.025 USD per token, corresponding to a 2.5 billion USD FDV. Over 50% of tokens are locked at launch, including team, investor, and treasury allocations, and locked tokens cannot be staked, signaling long-term alignment.

Core Investment Thesis: Monad’s technical architecture directly tackles the primary limitation of today’s EVM ecosystem—performance bottlenecks—while preserving Ethereum’s vast developer and user base through full compatibility. The team combines HFT-level technical expertise with a clear implementation roadmap. However, the Layer 1 landscape remains highly competitive, the mainnet has not yet launched (execution risk), and the effectiveness of ecosystem growth still needs to be validated.

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2. Project Details

2.1 Basic Information

• Project Name: Monad

• Token Symbol: MON

• Project Type: Layer 1 Public Chain

• Official Website: monad.xyz

• Ecosystem: EVM-Compatible Ecosystem

• Technical Category: Parallel Execution Public Chain

2.2 Core Team

Monad was founded by Keone Hon, with core team members primarily from Jump Trading, a top-tier high-frequency trading firm known for ultra–low-latency system engineering. The team brings deep expertise in system optimization, parallel computation, and performance-critical infrastructure, giving them a strong understanding of blockchain performance bottlenecks and architectural constraints. This background provides a significant advantage in designing and implementing high-performance, aggressively optimized Layer 1 systems.

2.3 Funding History

• Total Funding: 244 million USD

• Major Investors: Paradigm, Dragonfly Capital, Electric Capital, etc.

• Latest Valuation: 2.5 billion USD (based on public offering price)

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3. Core Technology & Innovation

3.1 Technical Architecture Overview

Monad’s performance gains do not stem from a single breakthrough, but from system-wide innovation achieved through deep optimization across the entire blockchain stack—including the execution layer, consensus layer, data propagation layer, and storage layer.

3.2 Core Technology Components

1. Optimistic Parallel Execution

• Uses an optimistic execution strategy to process multiple transactions simultaneously, assuming they touch independent states

• Detects conflicting transactions (e.g., modifying the same account) through dependency analysis

• Re-executes only the conflicting transactions, while non-conflicting ones continue in parallel

• Final state merging ensures every transaction remains serializable and verifiable

2. Asynchronous Execution

• Decouples transaction processing into four stages: ordering, execution, state writing, and consensus
  Forms a pipeline execution model, similar to an assembly line, to significantly improve throughput
  Creates a larger execution time budget, enabling deeper parallelization

3. MonadBFT Consensus Mechanism

• A custom, high-performance BFT Proof-of-Stake consensus protocol

• Optimizes transaction ordering and agreement speed among nodes

• Ensures the consensus layer does not become a bottleneck for the parallel execution engine

4. RaptorCast Block Propagation Protocol

• Purpose-built for high-efficiency block broadcasting

• Reduces data transmission overhead and network latency

• Enhances node synchronization performance under high transaction loads

5. MonadDb State Database

• A customized, performance-tuned blockchain state database

• Optimized for real-world on-chain read/write access patterns

• Greatly improves state retrieval speed and storage efficiency

3.3 Performance Metrics Comparison

3.4 EVM Compatibility Advantages

• Full Bytecode Compatibility: Existing Solidity smart contracts require no modifications

• Toolchain Compatibility: Development frameworks such as Hardhat and Foundry work out of the box

• Wallet Compatibility: EVM wallets like MetaMask can be used directly

• Consistent Address Format: Retains standard Ethereum-style addresses for seamless migration

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4. Token Economics

4.1 Token Basic Information

• Token Name: Monad

• Token Symbol: MON

• Total Supply: 100,000,000,000 MON (100 billion)

• Initial Circulating Supply: ~10.8 billion MON (10.8%)

4.2 Token Allocation Plan

4.3 Public Sale Details

• Sale Platform: Coinbase (first project on Coinbase’s new issuance platform)

• Sale Period: November 17, 2025, 9:00 ET – November 22, 2025, 21:00 ET

• Sale Price: 0.025 USD / MON

• Sale Quantity: 7.5 billion MON (7.5% of total supply)

• Fully Diluted Valuation (FDV): 2.5 billion USD

• Eligibility: Coinbase users who completed KYC (available in 80+ supported countries, including the US)

• Participation Limits: Minimum 100 USD, maximum 100,000 USD per participant

4.4 Lock-up & Staking Rules

• Locked Tokens: Team, investor, and treasury allocations — 50.6 billion MON (50.6%)

• Locked Token Staking Rule: Staking Prohibited — locked tokens cannot earn staking rewards

• Stakeable Tokens: Only circulating tokens used in active validator participation

• Unlocked Tokens: Public sale (7.5%), airdrop (3.3%), and part of the Ecosystem Fund

4.5 Token Utility

• Gas Fees: Used to pay on-chain transaction fees (expected to be extremely low)

• Staking: Participating in PoS consensus to help secure the network

• Governance: Future on-chain governance voting rights (specific mechanisms to be announced)

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5. Ecosystem & Roadmap

5.1 Ecosystem Development Strategy

Monad allocates 38.5% of tokens (38.5 billion MON) to ecosystem development, supporting growth through:

• Developer Grant Program: Funding for migrated projects and natively built applications

• Validator Delegation: Strengthening the decentralized validator network

• Liquidity Incentives: Bootstrapping liquidity across key DeFi protocols

• Partnership Support: Collaborations with infrastructure, wallet, and middleware providers

5.2 Target Application Scenarios

1. On-Chain Central Limit Order Book (CLOB)

• Supports fully on-chain order matching, enabling high-frequency trading and advanced market infrastructure

2. Blockchain Gaming & Real-Time Applications

• Provides low latency and high throughput, enabling real-time interactive gaming and responsive on-chain applications

3. Complex DAO Governance

• Enables advanced governance logic, multi-step proposals, and automated on-chain execution flows

4. Automated Yield Optimizers

• Supports on-chain implementation of high-frequency rebalancing strategies and complex automated yield mechanisms

5.3 Current Ecosystem Progress

• Mainnet Status: Testnet operational; mainnet launch approaching

• Developer Community: Active developer ecosystem, attracting EVM-native builders

• Partnerships: Collaborations established with multiple infrastructure providers (details to be announced)

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6. Competitive Landscape Analysis

6.1 Competitor Matrix

6.2 Competitive Advantages

1. Differentiated Positioning

• The only project that achieves parallel execution while fully preserving EVM compatibility

• Reduces migration costs for Ethereum developers and users to near-zero
  
  

2. Technical Team Background

• High-frequency trading (HFT) system experience provides a unique advantage in deep performance optimization

• 244 million USD in funding offers strong R&D capacity and long-term development runway
  
  

3. Market Timing

• Ethereum Layer 2 fragmentation is increasing; Monad offers a unified, high-performance EVM alternative

• Strong market demand for high-throughput, low-latency EVM chains
  
  

6.3 Competitive Challenges

1. Crowded Layer 1 Landscape

• Competes with established ecosystems such as Solana and Avalanche, which already have strong user bases

• Faces additional pressure as Ethereum Layer 2s (Arbitrum, Optimism, Base) continue absorbing market demand

2. Technical Implementation Risk

• State-conflict handling under parallel execution must be fully validated across complex real-world scenarios

• Mainnet stability and security remain untested before launch
  
  

3. Ecosystem Cold Start

• Must attract high-quality applications and active users to bootstrap ecosystem activity

• Competes directly with incentive programs offered by existing public chains and Layer 2 networks

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7. Risk Analysis

7.1 Technical Risks

Mainnet Delivery Risk

• Risk Description: The project has not yet launched its mainnet, and key technical claims still require real-world validation

• Impact Level: High — delays or underperformance at launch could significantly weaken market confidence

• Mitigation: Public testnet operation, transparent development updates, and top-tier security audits
  
  

Parallel Execution Complexity

• Risk Description: Complex DeFi protocols may introduce frequent state conflicts, reducing the efficiency of parallel execution

• Impact Level: Medium — real-world performance must be closely monitored

• Mitigation: Optimize dependency-detection algorithms and provide developer best-practice guidelines to minimize conflicts
  
  

7.2 Market Risks

Competitive Pressure

• Risk Description: The Layer 1 and Layer 2 sectors are highly competitive, resulting in high user and developer acquisition costs

• Impact Level: High — the effectiveness of ecosystem development will directly influence long-term project value

• Mitigation: Deploying large ecosystem incentive programs and prioritizing high-demand use cases such as HFT infrastructure and real-time gaming
  
  

Token Unlock Sell Pressure

• Risk Description: 50.6% of tokens are locked, and future unlock events may generate significant selling pressure

• Impact Level: Medium — the full unlock schedule has not yet been disclosed

• Mitigation: Long-term lock-ups for team and investors, combined with non-staking rules, reduce short-term sell incentives

7.3 Regulatory Risk

Public Sale Compliance

• Risk Description: Selling tokens to US users through Coinbase requires adherence to SEC regulatory standards

• Impact Level: Low — Coinbase maintains strong compliance infrastructure, and the project has obtained relevant legal opinions

• Mitigation: Enforcing strict KYC, applying participation limits, and implementing lock-up mechanisms to strengthen regulatory alignment

7.4 Team & Execution Risk

Team Execution Capability

• Risk Description: Delivering on Monad’s vision requires multi-dimensional capabilities across technology, ecosystem development, and operations; the current team will need rapid expansion

• Impact Level: Medium — while the team has strong high-frequency trading and engineering expertise, its ecosystem-building experience remains unproven

• Mitigation: Actively recruit senior ecosystem operators and collaborate with professional ecosystem funds to accelerate ecosystem growth

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