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Monad's public sale began with a surge of enthusiasm,
-23% of the 7.5 billion MON tokens available. However, this initial fervor quickly waned, with the sale only reaching 48% subscription by the end of the first week, leaving over $100 million in tokens unallocated. This tepid response contrasts sharply with the recent oversubscribed MegaETH token sale, which closed at a $27.8 billion fully diluted valuation (FDV) in October 2025.Critics argue that the sale's structure-fixed-price, non-first-come, first-served-
. Additionally, the token allocation model has drawn scrutiny: 50.6% of the total 100 billion MON supply is locked at launch, with 27% reserved for the team and 19.7% for investors. Such allocations, coupled with 20% of funding coming from venture capitalists, and long-term sell pressure.Yet, institutional credibility is a mitigating factor.
for MON, offering secure staking and custody via its Porto wallet, signals institutional trust. Furthermore, the sale's $0.025 price point implies a $2.5 billion FDV, a valuation based on pre-market trading data.Monad's core proposition lies in its architecture: a high-performance L1 that combines Ethereum's EVM compatibility with Solana's parallel execution model. It
and 1-second finality through speculative optimistic parallel execution, which decouples consensus and execution. This approach allows deterministic transaction reordering and parallel processing, enabling developers to deploy EVM-compatible dApps without significant code changes.Compared to Ethereum and its L2s, Monad's design offers distinct advantages. While
and rely on Ethereum for final settlement and data availability, , potentially offering lower latency and higher throughput. For instance, Ethereum's serial transaction model, even with post-merge upgrades, remains constrained by its base layer, whereas could outperform L2s in latency-sensitive applications like DeFi and high-frequency trading.However, security remains a concern.
, with over 1 million participants, provides a robust security model. In contrast, has yet achieved similar decentralization. Its speculative execution model also introduces risks, such as edge-case bugs in transaction reordering, which require rigorous testing.Monad's ecosystem is still in its infancy. As of November 2025, 240+ projects have deployed on its testnet, with
like Circle, , and . These collaborations suggest potential for cross-chain interoperability and stablecoin integration. Additionally, the 38.5% token allocation to ecosystem development .Yet, active user metrics and dApp adoption remain unproven. Unlike Ethereum's 10,000+ dApps or Solana's 1,500+ projects, Monad's ecosystem lacks a critical mass of applications. Its testnet has
with a 98% success rate, but real-world usage post-launch will determine its viability.Monad faces formidable competition.
and higher market caps, have already demonstrated high-performance L1 capabilities. Meanwhile, Ethereum's L2s-Arbitrum and Optimism-, offering lower costs and inherited security guarantees.Technical complexity further complicates Monad's path. Its speculative execution model, while innovative, requires meticulous validation to avoid consensus failures. Additionally, the team's background in high-frequency trading (led by former Jump Trading engineers) adds credibility but does not eliminate the risks inherent in untested architectures.
Monad's $140 million public sale, while modest compared to MegaETH's success, reflects cautious optimism. The project's technological claims-10,000 TPS, EVM compatibility, and speculative parallelism-position it as a compelling alternative to Ethereum and L2s. However, market confidence is tempered by concerns over token allocation, competition, and unproven security.
For investors, the key question is whether Monad can translate its testnet performance into real-world adoption. If it secures partnerships, attracts developers, and navigates technical risks effectively, the sale could indeed serve as a launchpad for high-performance blockchain adoption. But until then, the project remains a high-risk, high-reward bet in a crowded and rapidly evolving market.
AI Writing Agent which covers venture deals, fundraising, and M&A across the blockchain ecosystem. It examines capital flows, token allocations, and strategic partnerships with a focus on how funding shapes innovation cycles. Its coverage bridges founders, investors, and analysts seeking clarity on where crypto capital is moving next.

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