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Decentralized / Web3 infrastructure

#59

9 min read

On this page

  • How It Works
  • When It Makes Sense
  • When It Breaks Down
  • Key Metrics & Unit Economics
  • Competitive Dynamics
  • Industry Variations
  • Transition Patterns
  • Company Examples
  • Analyst's Take
  • Top 5 Resources

Contents

  1. 1. How It Works
  2. 2. When It Makes Sense
  3. 3. When It Breaks Down
  4. 4. Key Metrics & Unit Economics
  5. 5. Competitive Dynamics
  6. 6. Industry Variations
  7. 7. Transition Patterns
  8. 8. Company Examples
  9. 9. Analyst's Take
  10. 10. Top 5 Resources
Decentralized / Web3 infrastructure provides blockchain infrastructure for others to build on, offering the benefits of blockchain without the complexity of maintaining it. This model enables developers and enterprises to leverage decentralized networks for applications ranging from finance to supply chain management.

Also called: Blockchain infrastructure, Web3 services

Adjacent:Platform orchestrator / AggregatorOpen source
Section 1

How It Works

Decentralized or Web3 infrastructure models operate by providing the foundational technology of blockchain networks to developers and enterprises. These platforms abstract the complexities of blockchain, such as node management, consensus mechanisms, and security protocols, allowing users to focus on building applications. The critical insight is that by decentralizing control and ownership, these platforms enhance security, transparency, and trust while reducing the need for centralized oversight.
Monetization typically occurs through transaction fees, subscription models, or token-based economies. Platforms like Ethereum charge "gas fees" for transactions, while others may offer tiered subscription services for access to advanced features or higher transaction throughput. The strategic challenge lies in balancing decentralization with usability, ensuring the infrastructure remains accessible while maintaining its core decentralized principles.
Blockchain NetworksNodes & ValidatorsDecentralized infrastructure providers
Provide→
Web3 PlatformInfrastructure LayerAPIs, SDKs, smart contracts
Enable→
Developers & EnterprisesBuildersCreate dApps, DeFi, NFTs
↑Platform earns via transaction fees or subscriptions
The inherent tension in this model is the trade-off between decentralization and performance. As the network grows, maintaining speed and efficiency without compromising decentralization becomes increasingly complex.
Section 2

When It Makes Sense

✓

Conditions for Web3 Infrastructure Success

ConditionWhy it matters
High trust requirementDecentralized systems are ideal for environments where trust is a significant barrier, offering transparency and immutability.
Need for transparencyIndustries requiring auditability and traceability benefit from blockchain's transparent ledger.
Decentralized controlApplications that benefit from removing central points of failure or control, such as financial services, thrive on decentralized infrastructure.
High transaction volumePlatforms designed to handle large volumes of transactions efficiently can capitalize on economies of scale.
Innovation-driven sectorsIndustries at the forefront of technological innovation, like finance and supply chain, are more likely to adopt decentralized solutions.
The underlying logic is that decentralized infrastructure is optimal when the benefits of transparency, security, and decentralization outweigh the complexities of implementation and management.
Section 3

When It Breaks Down

⚠

Failure Modes

Failure modeWhat happensExample
Scalability issuesNetwork congestion leads to high transaction fees and slow processing times.Ethereum's high gas fees during peak usage.
Security vulnerabilitiesExploits in smart contracts or consensus mechanisms can lead to significant financial losses.The DAO hack on Ethereum in 2016.
Regulatory challengesUnclear or unfavorable regulations can stifle adoption and innovation.China's crackdown on cryptocurrency mining.
User complexityHigh technical barriers deter mainstream adoption.Complex wallet setups for new crypto users.
Centralization driftOver-reliance on a few nodes or validators compromises decentralization.Bitcoin mining pools controlling a large portion of the hash rate.
The most dangerous failure mode is scalability issues, as they directly impact user experience and economic viability. Without addressing these, platforms risk losing users to more scalable alternatives.
Section 4

Key Metrics & Unit Economics

Key metrics for decentralized infrastructure focus on network performance and economic sustainability.
Transaction Throughput
Transactions per second (TPS)
Measures the network's capacity to handle transactions. Higher TPS indicates better scalability and user experience.
Node Distribution
Geographic and ownership diversity
A diverse node distribution ensures decentralization and resilience against attacks or failures.
Cost per Transaction
Total costs ÷ Number of transactions
Lower costs per transaction make the platform more attractive to users and developers.
Network Security
Number of successful attacks ÷ Total transactions
A low ratio indicates robust security measures and trustworthiness of the platform.
Developer Adoption
Number of active developers
A high number of developers indicates a vibrant ecosystem and potential for innovation.
Core Revenue Formula
Revenue = Transaction Fees + Subscription Fees + Token Appreciation
Optimizing these metrics involves enhancing scalability, reducing transaction costs, and fostering a robust developer community to drive innovation and adoption.
Section 5

Competitive Dynamics

Decentralized infrastructure models derive competitive advantage from network effects, security, and developer ecosystems. As more developers build on a platform, the ecosystem grows, attracting more users and further enhancing the platform's value.
The model tends toward oligopoly, where a few dominant platforms capture the majority of the market due to high switching costs and network effects. Competitors typically respond by differentiating through unique features, lower costs, or superior scalability.
Over time, moats deepen as platforms enhance their security protocols, expand their developer tools, and build robust ecosystems. However, the decentralized nature means that new entrants can still disrupt incumbents by offering superior technology or addressing unmet needs.
Section 6

Industry Variations

◎

Decentralized Infrastructure by Industry

IndustrySpecific Dynamics
FinanceHigh transaction volumes, regulatory scrutiny, need for transparency and security.
Supply ChainTraceability, transparency, and real-time data sharing across stakeholders.
HealthcareData privacy, interoperability, and secure patient data management.
GamingOwnership of digital assets, in-game economies, and player-driven content.
Real EstateTokenization of assets, fractional ownership, and streamlined transactions.
Section 7

Transition Patterns

Evolves fromCentralized cloud servicesTraditional databases
→
Current modelDecentralized / Web3 infrastructure
→
Evolves intoDecentralized autonomous organizations (DAOs)Fully decentralized ecosystems
Coming from: Traditional centralized models like cloud services and databases often precede decentralized infrastructure as organizations seek greater security and transparency. For example, IBM Food Trust evolved from centralized supply chain solutions to a blockchain-based system for enhanced traceability.
Going to: As the model matures, it often evolves into more decentralized structures like DAOs, where governance and operations are fully decentralized. This transition is seen in platforms like Ethereum, which supports a wide array of decentralized applications and governance models.
Adjacent models: Related models include open source, where community-driven development complements decentralized infrastructure, and platform orchestrators, which manage and coordinate decentralized networks.
Section 8

Company Examples

Anchorage Digital logo
Anchorage Digital
Institutional-grade crypto custody and infrastructure
Anchorage Digital provides secure crypto custody services, enabling institutions to safely manage digital assets. Their model emphasizes security and compliance, crucial for institutional adoption.
Block logo
Block
Decentralized financial services
Block leverages blockchain to offer decentralized financial services, integrating crypto transactions into its payment ecosystem, thus broadening its financial service offerings.
Databricks logo
Databricks
Data infrastructure for AI and machine learning
While not purely decentralized, Databricks provides a collaborative data infrastructure that supports decentralized data management principles, enhancing data accessibility and collaboration.
Deel logo
Deel
Global payroll and compliance platform
Deel uses blockchain to streamline global payroll and compliance, reducing friction in cross-border transactions and enhancing transparency for international teams.
Datadog logo
Datadog
Monitoring and security platform for cloud applications
Datadog offers monitoring solutions that align with decentralized infrastructure needs, providing real-time insights into blockchain network performance and security.
Section 9

Analyst's Take

Faster Than Normal — Editorial View
The decentralized infrastructure model is often misunderstood as simply a technological shift rather than a paradigm shift in how we think about trust, ownership, and control. The key insight is that decentralization is not just about technology; it's about redefining power structures. This model empowers users by distributing control, which can fundamentally alter industry dynamics.
Most people underestimate the complexity of balancing decentralization with usability. The real challenge is creating infrastructure that is both robust and user-friendly. The platforms that succeed will be those that can abstract complexity without sacrificing the core benefits of decentralization.
In my view, the biggest opportunity lies in industries where trust and transparency are paramount. Financial services, supply chain, and healthcare are ripe for disruption by decentralized models that can offer greater security and traceability. However, the path to mainstream adoption is fraught with challenges, from regulatory hurdles to scalability issues.
The founders who will thrive in this space are those who understand that decentralization is a means to an end, not the end itself. It's about creating value by empowering users, not just about deploying blockchain technology for its own sake. The future of decentralized infrastructure will be shaped by those who can navigate these complexities and deliver tangible benefits to users.
Section 10

Top 5 Resources

01
Platform Revolution — Parker, Van Alstyne & Choudary (2016)
Book
This book provides a comprehensive overview of platform business models, including decentralized platforms. It's essential for understanding the economic principles that underpin Web3 infrastructure.
02
The Innovator's Dilemma — Clayton Christensen (1997)
Book
Christensen's classic on disruptive innovation offers insights into how decentralized models can disrupt traditional industries by offering new value propositions.
03
The Cold Start Problem — Andrew Chen (2022)
Book
Chen's book is invaluable for understanding how to launch and scale network-effect businesses, a critical aspect of decentralized infrastructure success.
04
Blockchain Basics — Daniel Drescher (2017)
Book
This book provides a non-technical introduction to blockchain, making it accessible for those new to the technology and its applications in decentralized infrastructure.
05
Decentralized Applications — Siraj Raval (2016)
Book
Raval's book explores the development of decentralized applications, offering practical insights into building on Web3 infrastructure.

Why this matters next

mental modelsNetwork Effects

Transaction Throughput applied the Network Effects mental model

mental modelsLeverage

Transaction Throughput applied the Leverage mental model

mental modelsParadigm Shift

Transaction Throughput applied the Paradigm Shift mental model

mental modelsScale

Transaction Throughput applied the Scale mental model

mental modelsEnvironment

Transaction Throughput applied the Environment mental model

mental modelsAlternatives

Transaction Throughput applied the Alternatives mental model

Continue exploring

Anchorage Digital

Company

Anchorage Digital

Federally chartered crypto bank offering custody, trading, and staking for institutions.

IBM

Company

IBM

Tech and consulting.

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On this page

  • How It Works
  • When It Makes Sense
  • When It Breaks Down
  • Key Metrics & Unit Economics
  • Competitive Dynamics
  • Industry Variations
  • Transition Patterns
  • Company Examples
  • Analyst's Take
  • Top 5 Resources