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venture-capital-trends-in-web3
Blog

Why VCs Are Underestimating the Infrastructure-as-Code Wave in Web3

The institutional on-ramp isn't a new L1. It's the boring, critical tooling that treats blockchain deployment as code. VCs chasing shiny objects are missing the foundational bet.

introduction
THE MISALLOCATION

Introduction

Venture capital is over-indexing on consumer applications while ignoring the foundational shift to programmable infrastructure.

VCs are funding the wrong layer. They chase speculative consumer dApps while the real leverage is in the infrastructure-as-code stack. This stack automates deployment, security, and interoperability, creating a new abstraction layer for developers.

The shift is from hardware to logic. Traditional infra (RPC nodes, validators) is a commoditized hardware play. IaC tools like Pulumi for Web3 and Kubernetes operators treat infrastructure as deterministic, version-controlled software, enabling reproducible and secure networks.

Evidence: The success of Lido's simple staking module versus the complexity of running a validator demonstrates the power of abstraction. Protocols that bake in automated key management and cross-chain state synchronization will capture the next wave of developer adoption.

thesis-statement
THE MISREAD

The Core Argument

Venture capital is mispricing the shift from static, monolithic infrastructure to dynamic, programmable stacks.

Infrastructure-as-Code is the new middleware. VCs are still funding the 'rails' (RPCs, block explorers) while missing the programmable layer that orchestrates them. This is the evolution from AWS EC2 to Kubernetes.

The value accrual is shifting. The value moves from the base data layer to the composability engine. Tools like Ponder for indexing or Axiom for on-chain proofs create more defensible moats than another RPC provider.

The benchmark is DevOps, not DeFi. The total addressable market is every protocol team's engineering budget, not transaction fees. The winner is the foundational abstraction, like what Terraform did for cloud, not another bridge.

Evidence: The success of Lava Network's modular RPC or Caldera's rollup-as-a-service proves teams pay for abstraction. Their growth metrics outpace generic infrastructure by an order of magnitude.

deep-dive
THE UNSEEN CATALYST

From Chaos to Compliance: The IaC Mandate

Infrastructure-as-Code is the unglamorous force that will determine which Web3 protocols survive the coming regulatory and operational squeeze.

VCs misjudge operational risk. They evaluate tokenomics and TPS, but ignore the deployment and governance chaos that cripples protocols like early Solana or Avalanche subnets. Manual, ad-hoc infrastructure management creates single points of failure and security gaps.

IaC enforces reproducible environments. Tools like Pulumi and Terraform for node provisioning or Kubernetes operators for chain orchestration eliminate configuration drift. This turns infrastructure from art into a version-controlled, auditable asset.

Compliance is a code artifact. Future regulations will mandate provenance and audit trails for validator sets and smart contract deployments. IaC manifests become the single source of truth, enabling automated compliance checks that manual setups cannot provide.

Evidence: The 2022 cross-chain bridge hacks, exploiting over $2B, often stemmed from misconfigured multisigs and upgrade keys. IaC frameworks with policy-as-code (e.g., Open Policy Agent) would have prevented these procedural failures.

VC BLIND SPOT

The IaC Gap: Investment vs. Developer Demand

Comparing the investment focus of top VCs against the actual tooling demands of Web3 developers reveals a critical misalignment.

Key Metric / CapabilityVC Investment Focus (2023-24)Developer Demand (Survey Data)The IaC Opportunity

Primary Investment Category

Application Layer (DeFi, SocialFi)

Infrastructure & Tooling

Infrastructure-as-Code (IaC)

YoY Funding Growth (Est.)

15-25%

N/A

300% (from low base)

Top Pain Point Addressed

User Acquisition

DevEx & Deployment Complexity

Automated, reproducible infra stacks

Representative Tools/Protocols

Uniswap, Friend.tech, EigenLayer

Hardhat, Foundry, The Graph

Pulumi, Terraform, Winglang, Nitric

Time to Deploy Full Testnet Stack

N/A

2-5 developer days

< 30 minutes with IaC

Supports Multi-Chain Deployment

Enables CI/CD Pipelines

Market Maturity

Late-stage, crowded

Early-growth, underserved

Pre-product, whitespace

case-study
THE OPERATIONAL SILENT KILLER

IaC in Action: From Theory to Production

Infrastructure-as-Code is not just a DevOps trend; it's the only viable scaling path for protocols managing billions in TVL and complex cross-chain states.

01

The Multi-Chain Configuration Nightmare

Manually deploying and syncing contracts across 10+ EVM chains and L2s like Arbitrum, Optimism, and Base is a recipe for catastrophic drift and security regressions.

  • Human Error Rate: Manual config changes have a ~15% failure rate in production.
  • Time Sink: Teams spend weeks on deployment coordination instead of protocol logic.
15%
Error Rate
4 weeks
Deployment Time
02

Pulumi & Terraform for the State Machine

Applying proven IaC paradigms from cloud (AWS, GCP) to blockchain turns deployment into a declarative, version-controlled, and testable process.

  • Deterministic Deploys: Hash-based diffs ensure identical state across all environments and chains.
  • CI/CD Integration: Enables automated canary deployments and rollbacks, slashing mean-time-to-recovery (MTTR).
100%
State Parity
-90%
MTTR
03

Foundry Scripts as Production Blueprints

Frameworks like Foundry and Hardhat are evolving from dev tools into the core IaC engine, with scripts defining entire protocol topologies.

  • Gas & Cost Optimization: Simulate and benchmark deployments across chains before spending real ETH.
  • Composability: Scripts become reusable modules, creating a marketplace for secure deployment primitives.
-40%
Gas Costs
10x
Reusability
04

The VC Blind Spot: OpEx vs. CapEx

VCs fund protocol development (CapEx) but ignore the operational burden (OpEx) that cripples growth. IaC converts variable, high-risk OpEx into fixed, scalable CapEx.

  • Team Scalability: A 5-person team can manage infrastructure for $1B+ TVL.
  • Valuation Multiplier: Efficient ops translate directly to higher margins and sustainable growth, a metric traditional tech VCs understand but crypto VCs miss.
5:1
Team Leverage
3x
Margin Impact
counter-argument
THE MISREAD

The Steelman: "It's Just Tooling, Not a MoAT"

VCs dismiss infrastructure-as-code as commoditized tooling, missing its role as the new protocol layer.

Infrastructure-as-Code is the protocol. Frameworks like Foundry and Hardhat define the development lifecycle, dictating testing patterns, deployment logic, and upgrade paths. The toolchain shapes the final application's architecture and security posture more than the underlying L1.

Tooling creates network effects. A dominant framework like Foundry establishes a standard. Developers build shared plugins, auditors create specialized tooling, and the entire ecosystem converges, creating a high-switching-cost moat similar to Ethereum's EVM dominance.

Abstraction drives adoption. Just as ERC-4337 abstracted smart contract wallets, IaC abstracts chain complexity. Platforms like thirdweb or Alchemy's create2deployer turn multi-step deployments into single CLI commands, lowering the barrier for the next million devs.

Evidence: The EVM toolchain ecosystem is worth billions. ConsenSys (Hardhat) and Paradigm (Foundry) treat these tools as core strategic assets, not support functions. Their adoption directly influences where developer capital and application liquidity flow.

risk-analysis
VC BLIND SPOTS

The Bear Case: Why IaC Could Stumble

Infrastructure-as-Code promises to automate Web3's complexity, but systemic risks could derail adoption before product-market fit is achieved.

01

The Abstraction Trap

IaC abstracts away critical on-chain logic, creating a single point of failure for developers who no longer understand the underlying protocols. This mirrors the risks of early cloud adoption where misconfigured S3 buckets led to billions in data breaches.

  • Security Debt: Opaque IaC modules hide vulnerabilities until exploited.
  • Vendor Lock-in: Projects become dependent on a specific IaC stack's runtime and tooling.
>70%
Hidden Risk
1-2
Key Vendors
02

The Composability Illusion

VCs bet on network effects from IaC module interoperability, but fragmented standards (Terraform vs. Pulumi vs. native CDKs) and chain-specific quirks will prevent a unified ecosystem. This fractures liquidity and developer mindshare.

  • Standard Wars: Competing frameworks (e.g., Foundry, Hardhat scripts) create incompatible module registries.
  • Siloed Growth: Modules for Solana, Ethereum, and Cosmos will not be portable, limiting total addressable market.
5+
Competing Stacks
<30%
Portability
03

Economic Misalignment

The IaC business model—selling developer tools—has historically low margins and monetization challenges in Web3. Protocols like Optimism and Arbitrum subsidize tooling; sustainable IaC revenue requires capturing value from transactions, not just deployments.

  • Fee Extraction: Successful models will likely be MEV-adjacent or staking-as-a-service.
  • Protocol Capture: Major L1/L2 teams (e.g., Polygon, Starkware) will build native IaC, squeezing out independents.
<15%
Gross Margin
0
Proven Model
04

The Auditor's Dilemma

Smart contract auditing is a $500M+ industry reliant on manual review. IaC's automated deployment and upgrade cycles make continuous security validation impossible with current tooling, creating an uninsurable risk layer for institutional adoption.

  • Speed vs. Security: IaC enables ~5 minute deploys vs. 2-4 week audit cycles.
  • Opaque Upgrades: Automated pipeline updates can introduce vulnerabilities without explicit developer review.
10x
Deploy Speed
0
Auto-Audit
05

Legacy Infrastructure Inertia

Established Web3 projects have years of technical debt in custom deployment scripts and manual ops. The switching cost to a new IaC paradigm is high, and the failure mode—a botched production deployment—is catastrophic. OpenZeppelin and Truffle suites are 'good enough' for most teams.

  • Switching Cost: Rebuilding CI/CD and monitoring for IaC can take 6+ months.
  • Incremental Gain: The marginal improvement over existing scripts is unclear for mature projects.
6 mo+
Migration Time
Low
Perceived ROI
06

The Talent Chasm

Effective IaC requires rare DevOps and Solidity hybrid engineers. The pool is vanishingly small. Bootcamps produce junior Solidity devs, not systems architects who understand gas optimization, oracle integration, and infrastructure security.

  • Skill Scarcity: <5% of Web3 developers have professional IaC/DevOps experience.
  • Training Lag: Educational focus is on dApp frontends, not resilient backend systems.
<5%
Hybrid Talent
High
Wage Inflation
investment-thesis
THE MISALLOCATION

The Capital Allocation Imperative

Venture capital is misallocated towards application-layer hype, missing the foundational shift to programmable infrastructure.

Infrastructure-as-Code is the new moat. VCs fund the next Uniswap fork while ignoring the Pulumi/Terraform for Web3 that will provision its liquidity. The value accrual shifts from the dApp front-end to the declarative deployment scripts that spin up entire rollup ecosystems.

Capital follows complexity, not clicks. The 2021 cycle funded user-facing products; the 2024 cycle funds the programmable primitives like EigenLayer AVSs and AltLayer rollups that compose them. The real leverage is in the tooling that abstracts chain deployment into a CI/CD pipeline.

Evidence: The total value secured by restaking protocols like EigenLayer exceeds $15B, a direct bet on programmable cryptoeconomic security. Meanwhile, Celestia's modular data availability has spawned dozens of rollups defined by a few lines of code, not years of development.

takeaways
WHY INFRASTRUCTURE-AS-CODE IS THE NEXT MEGA-TREND

TL;DR for Busy CTOs and VCs

The shift from manual, bespoke node operations to programmable, composable infrastructure is creating defensible moats and unlocking new business models.

01

The Problem: Bespoke Node Ops Are a $10B+ Sinkhole

Running validators, RPCs, and indexers is a manual, error-prone cash burn. Teams waste months on DevOps instead of core logic.\n- Opportunity Cost: Engineering cycles spent on ops, not product.\n- Capital Inefficiency: Idle capacity during bear markets, scrambling during bull runs.\n- Security Risk: Manual configs lead to costly downtime and slashing events.

$10B+
Annual Sunk Cost
70%
Ops Time
02

The Solution: Programmable Stacks (POKT, Lava, Ankr)

Infra-as-code abstracts hardware into API endpoints and smart contracts. Developers provision global, decentralized capacity with a config file.\n- Elastic Scaling: Pay-per-request models eliminate over-provisioning.\n- Multi-Chain by Default: A single integration accesses Ethereum, Solana, Cosmos.\n- Fault Tolerance: Automated failover between providers (e.g., Infura, Alchemy, community nodes).

~500ms
Global Latency
-90%
Dev Time
03

The Moats: Data & Execution Composability

The real value isn't raw RPC calls; it's the programmable data layer built on top. This is the AWS → Snowflake transition for Web3.\n- Composable Queries: Chain The Graph with POKT for resilient indexing.\n- Intent-Based Routing: Automatically route txs to the fastest/cheapest chain (see UniswapX, Across).\n- New Business Models: Monetize proprietary data feeds and execution strategies.

10x
Data Throughput
New Rev Stream
Business Model
04

The Blind Spot: VCs Are Funding Apps, Not the New OS

Investment is concentrated on consumer-facing dApps, ignoring the infrastructure layer that will capture value from all of them.\n- Protocol-Owned Liquidity: Infra protocols like Lava accrue fees from every query.\n- Winner-Take-Most Effects: Devs standardize on one programmable stack, creating a Layer 0 for dApps.\n- Valuation Gap: Infra-as-code protocols trade at a fraction of the multiples of the applications they enable.

100x
Usage Multiplier
Undervalued
Sector
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