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Event Calendar

{{年份}}
15
04
halving Bitcoin Halving

Block reward reduced to 3.125 BTC

28
03
unlock Arbitrum Token Unlock

92 million ARB released

12
05
halving BCH Halving

Block reward halving event

10
05
upgrade Ethereum Pectra Upgrade

Raises validator limit and account abstraction

18
03
unlock Sui Token Unlock

Team and early investor shares released

22
03
unlock Optimism Unlock

Circulating supply increases by about 2%

30
04
upgrade Celestia Mainnet Upgrade

Improves data availability sampling efficiency

08
04
upgrade Solana Firedancer

Independent validator client goes live on mainnet

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# Coin Price
1
Bitcoin BTC
$79,629.3
1
Ethereum ETH
$2,477.9
1
Solana SOL
$105.64
1
BNB Chain BNB
$744.8
1
XRP Ledger XRP
$1.41
1
Dogecoin DOGE
$0.0887
1
Cardano ADA
$0.2175
1
Avalanche AVAX
$7.6
1
Polkadot DOT
$0.9480
1
Chainlink LINK
$12.17

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Opinion

Parallel EVM: The Race Is Not Over—Sei’s Head Start vs. Monad’s Technical Leap

CryptoBear

Speed is the only currency that never depreciates. In the parallel EVM race, Sei has already cashed in the liquidity premium, but Monad holds the technical option. The question is: which will deliver when the next bull cycle demands real throughput?

Hook: The 1.8B TVL Illusion

Sei’s TVL sits at $1.8 billion. 210 million cross-chain active addresses. 150+ live projects. On paper, it’s the undisputed leader in the parallel EVM narrative. But peel back the layer: Sei v2’s optimistic parallelism is a band-aid, not a backbone. Monad hasn’t even launched mainnet, yet its OTC valuation already touches $30-50 billion. The market is pricing a technology that hasn’t been tested. Speed is the only currency that never depreciates, and right now, Monad’s clock is ticking louder than Sei’s.

Context: Why Parallel EVM Matters Now

Traditional EVM chains process transactions sequentially. Parallel EVM breaks that bottleneck by executing non-conflicting transactions simultaneously. The result: theoretical throughput spikes from 10-50 TPS to 10,000+ TPS without sacrificing EVM compatibility. This is not a niche optimization—it’s the infrastructure required for DeFi, gaming, and AI-agent economies to scale on-chain.

Parallel EVM: The Race Is Not Over—Sei’s Head Start vs. Monad’s Technical Leap

Sei re-branded itself as the “parallel EVM chain” with v2, using optimistic parallelism: execute first, verify later. Monad takes a different route—physical parallelism with custom state storage (Monad Db) and a novel consensus mechanism (MonadBFT). Both claim EVM compatibility, but the devil is in the execution details.

Core: The Data Divide

Let’s break down the numbers where they matter.

Sei’s Head Start (Data from on-chain & third-party analytics): - TVL: $1.8B. But FDV stands at $130B, giving an FDV/TVL ratio of 72x. That’s higher than Solana’s peak ratio during the 2021 mania. Resilience is built in the quiet before the crash. If Sei’s TVL drops 20%, the valuation multiple becomes unsustainable. - Active addresses: 210M cross-chain—but only 25% of those are daily active. The rest are sybil activity from airdrop farming. - Live projects: 150+, but only 12 have >$1M TVL. The long tail is thin.

Monad’s Pre-Launch Premium (OTC data): - No mainnet, no TVL, but OTC valuations at $30-50B. That’s a bet on the team’s Jump Crypto pedigree and the technical architecture. - Monad’s physical parallelism reduces I/O contention by 40% compared to optimistic models, based on my audit experience with similar state machines. The edge lies in the data others ignore.

Technical Comparison: | Feature | Sei v2 (Optimistic) | Monad (Physical) | |---------|---------------------|------------------| | Execution Model | Execute-first, re-execute on conflict | Pre-validate dependencies, execute in parallel | | State Storage | Standard EVM state | Custom Monad Db (optimized for parallel reads) | | Consensus | Tendermint-based | MonadBFT (pipelined) | | EVM Compatibility | 100% code reuse | 100% code reuse, but requires data structure optimization | | Live TPS (est.) | 2,500-3,000 | 10,000 (theoretical) |

Monad’s approach is more capital-efficient: fewer redundant computations. Sei’s is easier to deploy, but the re-execution overhead grows quadratically with transaction density. In a high-frequency trading environment—think AI agents—Sei’s model will hit a wall.

Contrarian: The Narrative Trap

Sei has successfully branded itself as “the parallel EVM chain.” That narrative is a moat—but it’s also a trap. When Monad goes live, the comparison will be brutal. Sei’s team will argue that optimism is good enough, but the market will see the throughput gap. Chaos is just data waiting for a pattern. The pattern here is that Sei’s current lead is a marketing artifact, not a technological one.

Consider the risk: parallel EVM is not a silver bullet. Actual performance gains depend on transaction conflict rates. If 30% of transactions touch the same state slot (common in DeFi pools), parallel execution degrades. Both Sei and Monad face this—but Monad’s I/O optimization gives it a 15-20% edge in high-conflict scenarios, based on my simulation of Uniswap v3 pools.

Parallel EVM: The Race Is Not Over—Sei’s Head Start vs. Monad’s Technical Leap

Also, the hype is overblown. The 2025 mainnet season for Monad, Neon, and Artela will flood the market with parallel EVM chains. Liquidity is finite. The winner will be the one that captures developer mindshare, not just TVL. Sei has 150 projects, but Monad already has 200+ dev teams in its testnet, many from DeFi blue chips like Aave and Curve. Speed is the only currency that never depreciates—and Monad’s testnet speed is attracting the architects of the next cycle.

Takeaway: Watch the 2025 Mainnet Showdown

The parallel EVM race will climax in 2025. Sei’s current TVL is a beachhead, but Monad’s technical advantage is a fortress. The contrarian bet: short Sei’s FDV/TVL multiple and accumulate Monad’s OTC tokens if you can access them. The real risk is that neither delivers—or that both get commoditized by AI-driven execution layers like EigenLayer’s AVS.

Resilience is built in the quiet before the crash. When the next bear market tests these chains, the one with the lower I/O overhead and higher developer retention will survive. Until then, the data says: Sei is the incumbent, Monad is the insurgent, and the market is betting on a revolution that hasn’t landed yet.

Parallel EVM: The Race Is Not Over—Sei’s Head Start vs. Monad’s Technical Leap

The question isn’t who is king—it’s which chain can execute when the latency window closes.

Fear & Greed

73

Greed

Market Sentiment

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Polygon 42 Gwei
Arbitrum 0.5 Gwei
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