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the-appchain-thesis-cosmos-and-polkadot
Blog

Why Custom Virtual Machines Exacerbate Opaque MEV

The appchain thesis promises sovereignty but delivers MEV opacity. Non-EVM environments like CosmWasm and Move create blind spots where established detection tools from Ethereum fail, creating hidden risks for users and builders.

introduction
THE FRAGMENTATION TRAP

Introduction

Custom virtual machines create isolated execution environments that obscure transaction ordering and extractable value.

Custom VMs fragment execution. Each new L2 or appchain deploys a purpose-built VM, like Arbitrum Nitro or Fuel's UTXO model. This creates opaque execution silos where global transaction ordering becomes impossible to observe, moving MEV from a public mempool problem to a private, off-chain negotiation.

Opaque order flow is the new asset. Builders and searchers cannot compete on a level field when the sequencer is the sole source of truth. This centralizes MEV capture, akin to the private order flow models of traditional finance, but with less regulatory visibility.

Evidence: The proliferation of chains using custom VMs like Solana's SVM, Move-based networks (Aptos, Sui), and Cosmos SDK appchains has fragmented liquidity and state. This forces MEV strategies to become chain-specific, increasing the search cost for arbitrage and reducing overall market efficiency.

thesis-statement
THE VIRTUAL MACHINE TRAP

The Core Argument: Standardization Breeds Transparency, Customization Breeds Opacity

Custom execution environments fragment the MEV supply chain, creating opaque zones that benefit specialized searchers and validators at the expense of user outcomes.

Custom VMs fragment the MEV supply chain. Standard EVM chains create a unified, competitive market for block builders like Flashbots and bloXroute. Custom environments like Solana's SVM or FuelVM create isolated pools where specialized searchers face less competition.

Opaque pre-confirmation logic replaces transparent auctions. On Ethereum, PBS auctions are public. Custom VMs often use private mempools or off-chain deal-making, as seen with Jito on Solana, obscuring transaction ordering logic from the public.

Validator-level customization centralizes MEV capture. Chains like Sei or dYdX Chain bake MEV strategies directly into the validator client. This validator-integrated extraction replaces a decentralized builder market with a single, privileged actor.

Evidence: Ethereum's post-PBS MEV-Boost relay network is public and auditable. In contrast, the proprietary AMM logic and private order flow on DEXs like Serum historically created predictable, extractable patterns for insiders.

CUSTOM VM LANDSCAPE

VM Fragmentation: The MEV Tooling Gap

Comparison of MEV tooling maturity and transparency across different virtual machine architectures, highlighting how custom designs create blind spots.

MEV Tooling FeatureEVM (Ethereum, Arbitrum, Base)Solana VM (Sealevel)Custom VM (Fuel, SVM Appchain, MoveVM)

Standardized Block Builder API (e.g., mev-boost)

Public Mempool for Searcher Access

Dominant Block Explorer MEV Dashboards (e.g., EigenPhi, Flashbots)

Mature MEV-SDK (e.g., Flashbots Protect, bloXroute)

Cross-Bundle Atomic Arbitrage Detection

90% detectable

< 10% detectable

Near 0% detectable

Avg. Time for Searcher Tooling Port

N/A (Native)

6-12 months

12-24+ months

Proposer-Builder Separation (PBS) Implementation

Active (post-Merge)

Planned

Rarely Implemented

Estimated Opaque MEV as % of Total

15-30%

40-60%

60-80%+

deep-dive
THE OPAQUITY TRAP

Architectural Analysis: Why Tooling Fails

Custom virtual machines create fragmented execution environments that standard MEV tooling cannot penetrate.

Custom VMs fragment execution. Each new L2 or appchain like Arbitrum, Solana, or Fuel introduces a unique state transition function. This prevents generalized MEV searchers and relayers from operating across chains.

Tooling requires standardization. MEV-Boost and Flashbots relays work because Ethereum's EVM is a universal standard. Custom VMs like SVM or Move break this model, forcing bespoke, often proprietary, tooling.

Proprietary tooling centralizes access. Teams building custom VMs, like Monad or Berachain, often build their own block builders. This creates an opaque, permissioned market where only insiders extract value.

Evidence: Flashbots' SUAVE aims to be chain-agnostic but struggles with non-EVM chains. The result is MEV extraction dominated by the chain's core developers, not a competitive open market.

case-study
WHY CUSTOM VMS HIDE MEV

Case Studies in Opacity

Custom virtual machines, designed for performance, create black-box environments where MEV extraction becomes invisible and ungovernable.

01

Solana's JIT Compiler: The Opaque Scheduler

The Just-In-Time compilation of transactions creates a non-deterministic, stateful ordering process. Validators can manipulate the JIT queue to front-run or sandwich trades before they are even compiled to native code, a layer of opacity absent in EVM's clear mempool model.

  • No Mempool: Transactions are streamed directly to leaders, hiding intent.
  • Stateful Reordering: JIT can reorder based on runtime state, enabling dynamic MEV.
  • Validator Exclusivity: Only the current leader sees the raw transaction flow.
~400ms
Leader Slot
0
Public Mempool
02

Aptos MoveVM: Parallel Execution Obfuscation

Block-STM parallel execution breaks transaction atomicity, making MEV extraction paths combinatorially complex. Extractable value shifts from simple sandwiching to identifying and exploiting conflicting transaction dependencies across threads, a game only sophisticated bots with full-chain simulation can play.

  • Conflict Graphs: MEV is hidden in read/write set dependencies.
  • Simulation Advantage: Requires full-block simulation to identify opportunities.
  • Opaque Gas: Gas costs are non-linear and path-dependent, masking true cost of extraction.
160k TPS
Theoretical Max
10k+
Parallel Txs/Block
03

FuelVM's UTXO Model: Hidden State Channels

The UTXO-based state model fragments liquidity into opaque, off-chain channels. MEV manifests as timing attacks on channel states and fee manipulation for priority in the strict transaction ordering required by its model. This creates a two-layer MEV market: on-chain ordering and off-channel sniping.

  • Strict Ordering: Predictable tx finality enables precise front-running.
  • Fragmented Liquidity: Value is hidden across thousands of state channels.
  • Validator as Sorter: The single sequencer role centralizes MEV capture.
1
Sequencer
Zero-Knowledge
State Proofs
04

The Cosmos SDK Tax: Custom Modules as MEV Sinks

App-specific blockchains built with Cosmos SDK embed MEV directly into custom consensus and execution modules. Validators can write proprietary BeginBlock/EndBlock logic to capture value transparently on-chain but opaquely to users, turning MEV into a sanctioned protocol fee.

  • Module Obfuscation: MEV logic is baked into validator binaries.
  • Protocol-Sanctioned: Extracted value is often framed as "security revenue".
  • Interchain Fragmentation: MEV on IBC transfers is hidden across multiple custom VMs.
50+
App-Chains
Custom
Consensus
counter-argument
THE DARK FOREST

Counterpoint: Sovereignty Over Surveillance

Custom execution environments trade transparency for control, creating ideal conditions for sophisticated, opaque MEV extraction.

Sovereignty creates opacity. A custom virtual machine like Arbitrum Nitro or Optimism Bedrock is a black box. Validators see only the final state transition, not the internal execution path. This lack of granular visibility obscures the transaction ordering and internal arbitrage opportunities that constitute MEV.

Sequencers are centralized extractors. The single sequencer model in most rollups centralizes MEV capture. Unlike Ethereum's public mempool, the sequencer's private mempool is a sealed auction house. Projects like Flashbots' SUAVE aim to democratize this, but adoption in rollup ecosystems is nascent.

Cross-chain MEV compounds the problem. Intents and atomic bundles spanning chains via protocols like Across and LayerZero move value through these opaque environments. Extractors can sandwich a bridge transaction on the destination chain, exploiting the lack of a shared, transparent mempool.

Evidence: Over 90% of Arbitrum and Optimism blocks are produced by a single sequencer. This centralization point has processed billions in MEV, with extraction strategies that are fundamentally less observable than on Ethereum L1.

risk-analysis
CUSTOM VM VULNERABILITY

The Hidden Risks of Opaque MEV

Custom virtual machines, while enabling specialized performance, create black boxes that hide predatory MEV extraction from users and developers.

01

The Opaque Execution Black Box

Standard EVM MEV is visible on-chain; custom VM execution is a sealed system. Searchers exploit proprietary transaction ordering logic that developers cannot audit.

  • No public mempool means no fair competition for block space.
  • Opaque sequencer logic hides front-running and sandwich attacks.
  • Impossible to measure the true cost of execution for users.
0%
Visibility
100%
Control
02

Fragmented Liquidity & Searcher Cartels

Each custom VM (e.g., Solana SVM, Fuel VM, Move-based chains) creates a separate MEV market. This fragments searcher capital, leading to monopolies.

  • Higher barriers to entry for independent searchers.
  • Cartel formation around a single sequencer or validator set.
  • Inefficient price discovery across the broader DeFi ecosystem.
~5-10x
Extraction Premium
03

The Intent-Based Architecture Trap

Projects like UniswapX and CowSwap promote intents as a user-friendly solution. On a custom VM, the solver network becomes a centralized, un-auditable MEV cartel.

  • Solver competition is a facade if the VM's execution is opaque.
  • Users trade transparency for convenience, trusting a black box.
  • Contrast with Ethereum, where protocols like Across and 1inch Fusion leverage public mempools for verifiable fairness.
1-of-N
Solver Trust
04

Protocol Revenue as Opaque MEV Subsidy

Custom VMs often bake MEV capture directly into protocol revenue models (e.g., searcher fees, priority gas auctions). This aligns developer incentives with extractors, not users.

  • Revenue is hidden in execution details, not transparent fees.
  • Creates perverse incentives to maximize, not minimize, extractable value.
  • Undermines credible neutrality—the chain becomes a predatory product.
>30%
Revenue Opaque
05

The Verifiable Sequencing Void

Without a standardized, verifiable sequencing layer (like Ethereum with PBS), custom VMs lack the infrastructure to prove fair ordering. Shared sequencers like Astria or Espresso are nascent mitigations.

  • No proof-of-censorship-resistance or fair ordering.
  • Forces blind trust in the operator's integrity.
  • Contrast with EigenLayer's approach to decentralizing sequencing.
0
Fairness Proofs
06

Solution: Enshrined Transparency Primitives

The fix is not to abandon custom VMs, but to enshrine transparency. Mandate public pre-confirmation logs, verifiable delay functions (VDFs) for ordering, and MEV auction houses.

  • Force sequencer logic on-chain for public verification.
  • Adopt shared sequencing with cryptographic proofs.
  • Learn from Ethereum's PBS roadmap and Cosmos' Skip Protocol.
+100%
Auditability
-90%
Opaque Extract
future-outlook
THE OPAQUE MACHINE

The Path Forward: Standardizing MEV Telemetry

Custom virtual machines fragment the observability stack, making cross-chain MEV extraction and risk assessment fundamentally intractable.

Custom VMs fragment observability. Each new execution environment like Arbitrum Nitro, Solana Sealevel, or a Cosmos SDK chain requires bespoke instrumentation. This creates data silos where MEV flows are invisible to generalized monitoring tools like EigenPhi or Blocknative.

Opaque MEV increases systemic risk. Without a standard like Flashbots' MEV-Share or a universal RPC endpoint, searchers and validators operate blind across chains. This lack of transparency invites predatory strategies that exploit informational asymmetry between networks.

Standardization enables composable security. A telemetry standard, analogous to Ethereum's EIP-1559 for fee markets, provides a shared data layer. Protocols like Across and LayerZero could use this to price cross-chain settlement risk based on real-time MEV activity, not static assumptions.

takeaways
CUSTOM VM FRAGMENTATION

TL;DR: Key Takeaways for Builders & Investors

The proliferation of custom virtual machines (VMs) like Move, SVM, and FuelVM creates isolated liquidity and execution environments, turning MEV extraction into a dark forest of specialized, opaque strategies.

01

The Problem: Opaque State Semantics

Custom VMs introduce non-EVM state models (e.g., Move's resource-oriented, SVM's parallel execution). This breaks generalized MEV searcher tooling, forcing extractors to build proprietary bots for each chain. The result is information asymmetry and reduced competition, allowing specialized actors to capture outsized margins in niche pools.

>10
Unique VM States
~0%
Tooling Overlap
02

The Solution: Universal MEV Auctions

Protocols must standardize a pre-confirmation intent layer, like a shared order flow auction (OFA), that sits above VM diversity. This abstracts execution complexity, creating a transparent, competitive marketplace for block space. Builders should look to SUAVE or Flashbots' vision for a unified settlement layer that neutralizes the VM advantage.

1
Auction Layer
N
VM Backends
03

The Consequence: Fragmented Liquidity = Higher Slippage

Each custom VM ecosystem (Aptos, Solana, Fuel) fragments liquidity into sovereign pools. Cross-VM arbitrage becomes a complex, multi-step bridge operation dominated by a few sophisticated players. This creates persistent, hidden spreads and worse prices for end-users, undermining the composability promise of a multi-chain world.

30-300bps
Arb Spread
$10B+
Fragmented TVL
04

The Entity: Solana (SVM) & Jito

Solana's Sealevel runtime enables parallel execution, which transforms MEV from a sequencing game into a race for state access. Jito's bundling ecosystem demonstrates how custom VM mechanics birth specialized extractor networks. The lesson: high-performance VMs don't eliminate MEV; they recentralize it into optimized, opaque pipelines.

~50k TPS
Theoretical Capacity
$1B+
Jito TVL
05

The Investor Lens: Vertical Integration Moats

Invest in infrastructure that abstracts VM complexity or enforces transparency. Avoid protocols where the core value accrual is predicated on opaque, custom VM mechanics that enable insider extraction. The real moat is in shared security layers and intent standardization, not in creating the next siloed execution environment.

High Risk
VM-Specific Apps
Defensible
Cross-VM Infra
06

The Builder Mandate: Standardize the Interface, Not the Runtime

Do not build another custom VM without a plan for MEV transparency. Instead, implement EVM-compatible precompiles or adopt universal intent standards (like those proposed by UniswapX and CowSwap). Your design goal should be to expose value to a public marketplace, not hide it in proprietary runtime semantics.

ERC-7683
Intent Standard
Critical
Precompile Support
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TVL Overall
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