Most successful Internet-era companies have thrived on network effects (the product becomes more valuable as more people use it).
Today’s leading companies and startups are heavily influenced by network effects, such as:
E-Commerce: eBay, Etsy, Amazon, Alibaba
Rideshare: Uber, Lyft
Network effects & the power law play an even bigger role in the Web3 space due to composability, open-source standards, and tokens. We can see network effects in many sectors of Web3 already, as explained below:
At the blockchain layer, Ethereum, Tron, & Solana hold >70% of the TVL market share.
Bitcoin, Ethereum, and Solana hold 76% of the market share by price.
In the Ethereum Layer 2 space, Arbitrum One, Base, and OP Mainnet hold over 75% market share.
In liquid staking space, Lido holds > 62% market share.
In the decentralized exchange (DEX) space, Uniswap and Raydium hold over 70% market share.
In lending markets, Aave, Justlend, and Spark have more than 60% market share.
Similar to many successful companies in the Internet era, many Web3 projects that dominate their markets have two or three-sided network effects, as explained below.
For blockchains, more users → more developers → more apps, → more users → flywheel.
For DEXs, as more users → more Volumes → more LPs → reduces slippage → more Users, → flywheel.
For lending markets, as more users → more borrow/supply assets → stable markets → more suppliers/borrowers → flywheel.
For Liquid Staking Tokens (LST), as a token’s market share increases → more DEXs, lending, and yield DeFi products support it → makes the LST more usable → attracts new users → increasing liquidity → flywheel.
In Web2, building a product around another company’s product or APIs can be risky. The main company might close access to the API and develop the product in-house.
For example:
In Web3, apps are composable and immutable, allowing other projects to build on top of them without trusting the team. This creates even more network effects at a much bigger scale than web2.
In Web2, users find it difficult to leave the system due to economies of scale and extensive network effects; however, the dynamics are different in Web3:
Building a competitive edge is hard in web3, bc
Tokens enable projects to solve these issues and cold start & supply problems.
A platform becomes sticky when users develop a genuine preference for it. In Web3, this can stem from owning the platform’s token, which fosters a sense of belonging and investment in the platform.
As users grow with the platform or app, their identity becomes closely tied to the projects they support. This is evident on Crypto Twitter, where people from different ecosystems passionately argue in favor of their own.
Network effects are crucial for any platform to have a competitive advantage. Blockchains become essential as important applications are built on top of them, incentivizing the maintenance and development of platforms or tools.
Reference:
Most successful Internet-era companies have thrived on network effects (the product becomes more valuable as more people use it).
Today’s leading companies and startups are heavily influenced by network effects, such as:
E-Commerce: eBay, Etsy, Amazon, Alibaba
Rideshare: Uber, Lyft
Network effects & the power law play an even bigger role in the Web3 space due to composability, open-source standards, and tokens. We can see network effects in many sectors of Web3 already, as explained below:
At the blockchain layer, Ethereum, Tron, & Solana hold >70% of the TVL market share.
Bitcoin, Ethereum, and Solana hold 76% of the market share by price.
In the Ethereum Layer 2 space, Arbitrum One, Base, and OP Mainnet hold over 75% market share.
In liquid staking space, Lido holds > 62% market share.
In the decentralized exchange (DEX) space, Uniswap and Raydium hold over 70% market share.
In lending markets, Aave, Justlend, and Spark have more than 60% market share.
Similar to many successful companies in the Internet era, many Web3 projects that dominate their markets have two or three-sided network effects, as explained below.
For blockchains, more users → more developers → more apps, → more users → flywheel.
For DEXs, as more users → more Volumes → more LPs → reduces slippage → more Users, → flywheel.
For lending markets, as more users → more borrow/supply assets → stable markets → more suppliers/borrowers → flywheel.
For Liquid Staking Tokens (LST), as a token’s market share increases → more DEXs, lending, and yield DeFi products support it → makes the LST more usable → attracts new users → increasing liquidity → flywheel.
In Web2, building a product around another company’s product or APIs can be risky. The main company might close access to the API and develop the product in-house.
For example:
In Web3, apps are composable and immutable, allowing other projects to build on top of them without trusting the team. This creates even more network effects at a much bigger scale than web2.
In Web2, users find it difficult to leave the system due to economies of scale and extensive network effects; however, the dynamics are different in Web3:
Building a competitive edge is hard in web3, bc
Tokens enable projects to solve these issues and cold start & supply problems.
A platform becomes sticky when users develop a genuine preference for it. In Web3, this can stem from owning the platform’s token, which fosters a sense of belonging and investment in the platform.
As users grow with the platform or app, their identity becomes closely tied to the projects they support. This is evident on Crypto Twitter, where people from different ecosystems passionately argue in favor of their own.
Network effects are crucial for any platform to have a competitive advantage. Blockchains become essential as important applications are built on top of them, incentivizing the maintenance and development of platforms or tools.
Reference: