Author: Daniel Li, CoinVoice

MegaETH may be one of the most controversial Layer 2 projects in recent times.

While it quickly gained popularity with the narrative of "Realtime Blockchain," featuring a 10ms block time, 100,000 TPS, and nearly Web2-level on-chain interaction experience, on the other hand, MEGA swiftly fell from its post-TGE highs, declining from a peak of $0.37 to about $0.088, dropping below the public sale price of $0.099, with a decline exceeding 70% in a short period.

With the achievement of its first KPI, market sentiment quickly heated up, and after its launch, MEGA briefly surged, with the market once granting MegaETH an almost $2 billion fully diluted valuation (FDV). Meanwhile, MEGA successively listed on major exchanges such as Binance, Coinbase, and OKX. However, as market enthusiasm gradually cooled, the "Realtime Blockchain" narrative that MegaETH promoted began to face a true market test.

01 From V God to Dragonfly, MegaETH’s early funding gains core resources

MegaETH is a high-performance Ethereum Layer 2 network that focuses on the "Realtime Blockchain" concept, aiming to provide on-chain applications with real-time interaction experiences close to Web2.

The core team of MegaETH integrates fundamental technology research capabilities and Ethereum ecosystem experience, with member backgrounds spanning distributed system research, engineering implementation, and Web3 business expansion.

Co-founder and CEO Shuyao Kong entered the blockchain industry early, previously serving as the global BD (business development) head for ConsenSys (the company behind MetaMask) and graduated from Harvard Business School, having a deep understanding of the developmental logic of the Ethereum ecosystem and the global Web3 industry landscape. Compared to purely technical entrepreneurs, his advantages are more reflected in ecological resource integration, industry cognition, and long-term strategic levels.

The technical team has a strong academic background and foundational engineering capabilities. Co-founder Yilong Li holds a PhD from Stanford University, and CTO Lei Yang graduated from MIT, focusing for a long time on basic infrastructure research such as distributed systems, consensus mechanisms, and synchronization algorithms, which are core to building high-performance blockchain execution layers. Overall, the MegaETH team possesses both theoretical research depth and practical engineering implementation experience, which is one of the important reasons the market continues to pay attention to its "Realtime Blockchain" approach.

In terms of funding, since 2024, MegaETH has accumulated nearly $30 million in funding. In June 2024, MegaETH completed a $20 million seed round financing, led by major institutions like Dragonfly, with participants including well-known funds such as Figment Capital, Robot Ventures, and Big Brain Holdings. At the same time, this financing round attracted several core industry figures, including Vitalik Buterin, ConsenSys founder Joseph Lubin, EigenLayer founder Sreeram Kannan, and well-known KOL Cobie.

Subsequently, in December 2024, MegaETH raised about $10 million through a community round financing, further strengthening the project’s interests with the user community.

02 MegaETH Token Economics: From KPI Incentives to USDM Buybacks

The native token of MegaETH is $MEGA, with a total supply of 10 billion. The token employs a KPI-driven distribution mechanism, meaning token releases are linked to the actual growth data of the network, triggering new rounds of token release when the network reaches specific performance and ecological goals.

2.1 MEGA's Token Distribution Logic: High Ecological Incentives and Long-term Release Mechanisms

Notably, about 53% of MEGA's token distribution is allocated to a KPI reward pool. This proportion is quite aggressive compared to current Crypto projects, indicating that over half of the tokens will be gradually released according to ecological developments rather than distributed directly at TGE. From a positive perspective, this design helps reduce early circulation pressure and establishes a long-term flywheel through the "ecological growth—reward release" mechanism. However, this model also carries obvious risks as there will be substantial incentives released in the future, leading to enduring new supply pressure in the market.

Meanwhile, the initial public circulation ratio of MEGA is only about 5%, resulting in limited overall circulation supply. While this helps enhance early market attention, it also means that the token price may be more easily influenced by fund sentiment, leading to potentially severe short-term fluctuations.

The specific allocation of MEGA tokens is as follows:

• The public sale accounts for about 5%, with all tokens allocated entirely to buyers, with the issuer retaining no assets directly.

• The KPI reward pool accounts for about 53%, with only staking users able to participate. The staking period ranges from 10 to 30 days, with longer staking time yielding higher returns. Performance-based staking rewards will be distributed over time.

• Other investors and early rounds account for about 24.7%, including institutional investors at about 14.7%, Echo round investors at about 5%, Fluffle buyers at about 2.5%, and Sonar reward pool at about 2.5%.

• The team and advisors account for about 9.5%, with a one-year lock-up period and linear unlocking over three years.

• The foundation and ecosystem reserves account for about 7.5%, used for ecosystem development, strategic partnerships, and protocol sustainability maintenance.

2.2 MEGA Token Value Capture Mechanism

The crypto industry has long faced an awkward issue: the tokens of many Layer 2 projects seem to have no real use aside from governance and speculation. MegaETH attempts to solve this problem through two mechanisms:

(1) Proximity Markets

Proximity Markets can be understood as a core high-frequency trading infrastructure within the MegaETH ecosystem, with logic similar to "selling low-latency capabilities."

Since MegaETH emphasizes millisecond-level responses and real-time trading experiences, the project plans to build specialized markets around low-latency resources near the Sequencer. For example, traders in the future may bid or stake $MEGA to obtain server seats (Proximity Seats) closer to the Sequencer, thereby gaining lower latency and faster order responses in high-frequency trading.

At the same time, MegaETH plans to launch Proximity Feed, a real-time data stream service based on global clock synchronization to reduce software-layer latency in high-frequency trading. This means that fees, bidding income, and related protocol revenues generated around low-latency trading services could flow into the value cycle of MegaETH, further linking it to $MEGA.

(2) USDM Buyback Mechanism

USDM is the native stablecoin of the MegaETH ecosystem, with a circulating supply approaching $480 million, serving as the core financial foundation of the ecosystem. USDM is issued based on Ethena's stablecoin architecture, with reserve returns mainly coming from real-world assets such as U.S. treasury bonds.

According to official disclosures from MegaETH, all revenues generated from USDM by the foundation will be used for market buybacks and accumulating $MEGA.

In simple terms, as more applications use USDM, the scale of the stablecoin will expand, and the revenues generated from USDM will continue to rise, which will ultimately translate into increased buyback demand for $MEGA. This is also the flywheel model that MegaETH repeatedly emphasizes: "ecological growth → income increase → buyback tokens → token value enhancement."

Currently, MegaETH has officially launched this buyback mechanism. According to official disclosures, the MegaETH Foundation completed its first $MEGA buyback on May 7, 2026, using funds entirely from net revenues accumulated from USDM as of the end of April. However, as of now, the official has not disclosed specific amounts of $MEGA bought back or the actual buyback amount, only stating that future buybacks will gradually achieve "programmatic" and "fully on-chain" execution based on the supply scale and yield of USDM.

03 How does MegaETH operate? How does it achieve real-time performance?

MegaETH officially claims that its network can achieve about 100,000 TPS (transactions per second) and approximately 10ms block confirmation times, aimed at supporting real-time chain games, social interactions, trading, and AI Agent scenarios that demand extremely low latency. This near-Web2 application real-time interaction experience benefits mainly from the following technical features.

3.1 Web2 + Crypto Hybrid Architecture

MegaETH adopts a "role division" architecture design, where different types of nodes are responsible for specific tasks, thus requiring different hardware configurations. Compared to traditional blockchains where all nodes repeat the same task, MegaETH is more like a high-performance system with clearly defined divisions of labor, improving overall throughput and execution efficiency by splitting responsibilities.

Within MegaETH, there are three core roles: the Sequencer, Provers, and Full Nodes. MegaETH achieves more specialized division of labor by separating transaction execution, verification, and state storage across different nodes, thereby avoiding performance waste from the "all nodes repeating the same tasks" issue found in traditional blockchains.

(1) Sequencer: Responsible for "Accounting and Block Production"

The Sequencer is responsible for transaction ordering and execution, serving as the core scheduling node for the entire network. Currently, MegaETH only has a centralized Sequencer, which means the network does not require a large number of nodes to repeatedly participate in consensus like traditional public chains, thus saving considerable costs on synchronization and voting. After executing transactions, the Sequencer uploads the generated blocks, witness data, and state diffs to the EigenDA data availability layer, ensuring that this data can be accessed and verified by other nodes in the network.

However, the most controversial aspect of MegaETH lies precisely in this "single point of control" design. Since the entire network has only one node responsible for transaction ordering and block production, the Sequencer effectively holds the central power for block production. If this node experiences a failure, crashes, or even comes under attack, the entire network could halt block production, and user transactions may not be processed. Therefore, compared to traditional public chains maintained by many validating nodes, MegaETH is relatively weaker in fault tolerance and decentralization, which is one of the main criticisms regarding its centralization risk.

(2) Provers: Responsible for "Verification"

Provers are responsible for validating whether the transaction execution results are correct. They obtain the blocks and witness data from the Sequencer and utilize specialized hardware for "Stateless Verification." Stateless verification means that Provers do not need to store the complete blockchain state to independently verify the correctness of the blocks. This design not only reduces the storage pressure on nodes but also allows for asynchronous, parallel, and even unordered verification of multiple blocks, greatly enhancing overall system efficiency.

(3) Full Nodes: Responsible for "Maintaining Final State"

Full Nodes' responsibilities lean more towards maintaining the final state of the chain. They continuously receive state diffs published by the Sequencer and synchronize them to update their local state databases. At the same time, Full Nodes can verify the validity of blocks and check whether the Sequencer has committed errors or malicious actions, thus ensuring the consistency and security of the entire blockchain system.

Therefore, the architecture of MegaETH indeed carries a strong "Web2 + Crypto Hybrid Architecture" feature. It is not a fully decentralized blockchain in the traditional sense but rather a combination of the verifiability and asset attributes of Crypto over a high-performance system grounded in Web2.

Traditional Web3 public chains (such as Ethereum) emphasize that all nodes jointly participate in consensus, execution, and storage to achieve maximum decentralization. However, the cost of this model is lower performance and higher latency. MegaETH has clearly made trade-offs; it has sacrificed some decentralization by centralizing transaction ordering and execution in a single Sequencer, a design logic that closely resembles that of centralized servers in Web2 internet.

One could say that the Sequencer of MegaETH resembles a main server of an internet company, responsible for real-time processing requests and quickly returning results; whereas Provers and the data availability layer resemble a backend auditing system, proving that the server has not cheated.

In other words, the Web2 part is responsible for "performance," while the Crypto part is responsible for "trustworthiness."

3.2 Building on the Ethereum Ecosystem, MegaETH Reconstructs Its Underlying Architecture

In response to the long-standing performance bottlenecks of traditional EVM blockchains, MegaETH has almost "targeted" a reconstruction of the underlying architecture.

(1) Redesigning the State Trie Structure

One of the biggest bottlenecks of traditional blockchains is "slow state reading." The state refers to all data on the chain, including account balances, smart contract data, NFT information, etc. Traditional EVM chains like Ethereum frequently need to access hard drives for reading this data, and hard drive I/O (input/output) is very slow. As on-chain data grows larger, this issue becomes increasingly serious.

To solve this problem, MegaETH has redesigned the state Trie structure and optimized the use of memory and I/O. Simply put, it has made the "data indexing" and "data reading methods" more efficient. Even if the future on-chain state data reaches TB levels, MegaETH still aims to read quickly without performance degradation caused by frequent disk accesses. This means MegaETH has rewritten the blockchain database to make "checking balances and modifying data" much faster.

(2) Parallel Execution Strategy

The execution model of Ethereum is essentially serial, similar to a single-lane road: if transactions in front are not processed, those behind must wait. This severely limits TPS.

MegaETH allows the Sequencer to use parallel execution strategies. In other words, multiple transactions can be processed simultaneously, resembling a multi-lane system on a highway rather than a single-lane queue. This is one of the key reasons MegaETH can achieve ultra-high throughput.

(3) JIT Compiler

Moreover, traditional EVM is essentially an "interpreter." Smart contract code does not run directly but is first read, then translated line by line, and then executed, generating significant performance losses in this process.

MegaETH utilizes JIT (Just-In-Time Compilation) technology, where the core idea is to compile the code into a form closer to machine language ahead of time and then run it directly. Thus, it does not execute code "while translating" like traditional EVM but instead pre-compiles code, allowing complex DApps to achieve running efficiency close to that of bare metal.

Lastly, a very practical issue is that synchronizing data between blockchain nodes consumes a lot of bandwidth, especially when the on-chain transaction volume is high. A large number of state updates continuously propagate through the network, leading to slow synchronization and high-stress problems for nodes in traditional chains. To address this, MegaETH has designed a state diff compression and efficient transmission mechanism. In simple terms, it does not repeatedly send complete states but synchronizes only "what has changed" and further applies advanced compression. Thus, even with limited network bandwidth, it can synchronize a large number of transaction updates.

3.3 Lighter and Faster "Mini Blocks" Mechanism

To achieve a "real-time on-chain experience," MegaETH does not fully rely on the traditional EVM block production method but has additionally designed a lighter and faster "Mini Blocks" mechanism.

A core issue with traditional blockchains is that block production is too slow. Even with many high-performance chains, users' transactions are usually packaged and broadcasted to the entire network over hundreds of milliseconds to seconds. However, MegaETH aims for real-time interaction experiences close to Web2 Apps and compresses the confirmation speed down to the 10ms level.

MegaETH generates a Mini Block every 10ms to quickly inform the network of "which transactions have been accepted," broadcasting a simplified version.

In other words, users do not need to wait for the complete block to be generated to know that their transactions have entered the Sequencer and are likely to be officially packaged. They can update the interface state in advance. Therefore, users feel that on-chain interactions provide almost "real-time feedback."

Thus, the network simultaneously contains two types of blocks: Mini Blocks (ultra-lightweight real-time blocks responsible for real-time feedback) and standard EVM Blocks (responsible for final settlement). Essentially, MegaETH addresses the traditional blockchain issues of "slow confirmations and lagging interactions" by using "high-frequency lightweight pre-confirmations + low-frequency formal settlements."

04 High-Performance Public Chain Competition: MegaETH, Monad, Hypeliquid

MegaETH, Hyperliquid, and Monad each represent three different paths in the current high-performance blockchain landscape, attempting to break through the performance bottlenecks of traditional EVM while focusing on different priorities.

Among them, MegaETH emphasizes the "real-time blockchain" experience, particularly excelling in latency and TPS. By utilizing a centralized Sequencer, Mini Blocks, and a highly optimized execution architecture, MegaETH can provide a real-time interaction experience close to Web2 applications, making it highly suitable for scenarios that require low latency, such as chain games, social interactions, and real-time data applications. However, its single Sequencer design has also sparked debates over centralization, censorship risks, and trust assumptions.

Hyperliquid, on the other hand, resembles a high-performance chain specifically designed for financial trading. With HyperBFT consensus, HyperEVM and deep integration of liquidity, Hyperliquid is highly competitive in financial scenarios such as perpetual contracts, on-chain trading, and high-frequency matching, with trading experiences even approaching those of centralized exchanges. However, due to its architecture being highly optimized around financial scenarios, it has relatively limited expansion capabilities in the general dApp ecosystem and application diversity compared to MegaETH.

Monad's approach leans towards "seeking a balance between decentralization and performance." It enhances TPS through parallel execution, asynchronous processing, and deep optimization of EVM while striving to maintain Ethereum-style decentralization and development experience. Thus, for developers, Monad represents a general-purpose high-throughput public chain solution that balances performance, compatibility, and decentralization.

As for which among the three is more advanced, it fundamentally depends on the specific application scenarios. If the aim is trading, liquidity, and high-frequency financial applications, Hyperliquid remains one of the most competitive players due to its focused design on financial infrastructure; if the goal is to build a broader real-time dApp ecosystem, MegaETH’s advantages in low latency and real-time performance are more evident; while for developers who seek high throughput without excessively sacrificing decentralization, Monad’s parallelized EVM architecture offers a more balanced choice.

05 Noteworthy Projects in MegaETH

With the implementation of TGE, the flow of funds within the MegaETH ecosystem and on-chain activity has gradually become the core of market attention. Key protocols such as Cap, Kumbaya, Brix, Euphoria Finance, and World Capital Markets are taking up essential financial scenarios, including stablecoins, DEX, yield-bearing assets, derivatives trading, and unified margin systems, gradually constructing the native DeFi and trading ecosystem of MegaETH.

As the early chips enter the redistribution phase after the MEGA launch, whether market funds will further flow back into the ecosystem has become an important indicator for observing whether MegaETH's traction can be sustained. To some extent, these top protocols not only bear the liquidity-bearing function of the ecosystem but also serve as a core observation window for whether MegaETH's "real-time blockchain" narrative can truly convert into on-chain user and capital growth.

5.1 Kumbaya

Kumbaya positions itself as the fastest and deepest liquidity cultural asset creation and trading platform, currently having a total locked value (TVL) of approximately $32.66 million, with a DEX trading volume of about $288 million over the past 30 days. Its core gameplay focuses on building a "cultural-value flywheel," compared to the "buying frenzy, raising, and quick exit" trading model created by pump.fun, Kumbaya emphasizes the continuation of the value accumulation and liquidity of cultural assets. This also avoids the problem of the token experiencing "disconnection upon graduation" in liquidity after leaving the issuing platform and moving to Raydium, resulting in a collapse of cultural value cycles.

According to the latest on-chain data, the TVL of the MegaETH ecosystem has rapidly grown from about $100 million at the beginning of TGE to a range of approximately $780 million to $1 billion, becoming one of the fastest-growing Layer 2 ecosystems in recent times. However, the issue of concentrated liquidity still exists.

Among them, Kumbaya remains one of the most core DeFi protocols in MegaETH. According to the latest data from DefiLlama, Kumbaya currently has a TVL of approximately $32.66 million, with close to $290 million in DEX trading volume over 30 days and a cumulative trading volume exceeding $500 million. Although its proportion of the overall TVL has decreased from about 60% at the beginning of TGE, it still plays a crucial role as the most important liquidity entry point for the MegaETH ecosystem.

This highly concentrated liquidity structure reflects, on one hand, the rapid gathering of early funds towards top protocols, and on the other hand, indicates a high dependency of the MegaETH ecosystem on a single protocol. If Kumbaya experiences contract vulnerabilities, liquidity withdrawals, or declines in trading activity, the overall on-chain ecosystem of MegaETH could still be significantly impacted.

5.2 Emerging Market Tokenized Yield Platform Brix

Brix is positioned to open on-chain yield channels for DeFi users in emerging markets. Through tokenized yield-bearing stablecoins and assets, users can gain high yield exposure on-chain.

Currently, one of its core products is iTRY, a tokenized Turkish lira currency market product yielding about 45% annualized returns. In the future, Brix also plans to successively launch more emerging market currency products, including the Brazilian real (BRL) and the Indian rupee (INR).

According to crypto asset data platform RootData, in April of this year, Brix completed $5.5 million in financing, led jointly by FRWRD and IS Asset Management, with participants including Circle Ventures, ConsenSys, and Borderless Capital.

5.3 Network Derivatives Trading Market Euphoria Finance

Euphoria's core gameplay is the "Tap Trading" mechanism, where users simply click on a grid interface to predict short-term price trends, further gamifying and socializing the trading experience. However, the Euphoria mainnet is still in a closed testing phase, accessible only to AMA participants and early testers, but as public testing is expected to commence mid-May, the market generally believes it will become one of the most eye-catching consumer applications in the MegaETH 2.0 ecosystem.

According to crypto asset data platform RootData, Euphoria completed a $7.5 million fundraising in August last year, led by Karatage.

5.4 DeFi Trading Platform World Capital Markets

World Capital Markets is a unified margin order book system covering spot trading, perpetual contracts, and lending, aiming to realize the vision of "any market can trade at any time and anywhere." With MegaETH's high-performance infrastructure, World Capital Markets can fully leverage the advantages of high-frequency on-chain order books, ensuring that margin updates, risk checks, and liquidation processes can all be completed within the same block during cross-margin trading scenarios, enhancing overall capital efficiency. The high throughput and low latency characteristics of MegaETH are fundamentally the core foundation that supports such applications.

5.5 Stablecoin Engine CAP

CAP is an innovative stablecoin engine that combines stablecoins with highly efficient on-chain strategies to provide users with native earning opportunities. Users can mint cUSD at a 1:1 ratio using USDC or USDT and further stake it as stcUSD to earn income from authorized strategy providers.

According to crypto asset data platform RootData, Cap completed $11 million funding in April last year, with participation from Triton Capital among others. With MEGA expected to conduct TGE on April 30, 2026, the market generally anticipates that Cap will be one of the key projects for early token issuance in the MegaETH ecosystem.

It is worth mentioning that Aave V3, GMX, and the Chainlink Scale projects have completed integration since the first day of the MegaETH mainnet launch, achieving access to nearly $14 billion in flagship assets (including wstETH and LBTC). The onboarding of these blue-chip DeFi protocols has solidified MegaETH's position as a production-level infrastructure rather than merely relying on native applications to uphold the illusion of ecosystem prosperity.

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