1. The Problem Itself: Why Are Chains Slowing Down?
The slowdown of blockchains is often attributed to incorrect reasons. Consensus, block time, gas model... All of these are true but incomplete. The real burden is the unnatural tasks imposed on the chains.
A blockchain:
Designed to keep accounts
Works to validate the state
Optimized for ordering transactions
But what is expected of it today is this:
Store NFT visuals, host game files, keep application data continuously accessible.
Walrus emerges precisely in the gap created by this false expectation.
2. Walrus’s Fundamental Approach: Lightening the Chain
Walrus's claim is not to make chains “faster.”
Its claim is clearer:
Taking tasks that the chain should not do off the chain.
This approach opens a different door to scalability. Because Walrus:
Does not measure transaction speed, but data load
Targets application dependencies.
This way, chains focus on their main jobs: validation and security.
3. The Layer Where Walrus is Positioned
Walrus is neither fully an L1 nor a classic L2. It is more defined as an infrastructure layer.
This layer: Communicates directly with smart contracts
Works off-chain but verifiable with the chain
Acts like a “background engine” on the application side
The user does not notice Walrus.
But if the application is working, Walrus is doing its job.
4. Data-Focused Web3 and the Role of Walrus
The first wave of Web3 was finance-heavy.
The second wave came with NFTs and games.
The third wave is data-heavy.
In this new era: Games are moving to the chain
Social applications are shifting to Web3
Media contents are being tokenized
The common need of these structures is:
Continuously accessible, immutable but does not choke the chain data.
Walrus precisely answers this need.
5. A Different Perspective on Technical Operation
Walrus’s technical side is generally simplified under the heading of “storage.” However, the real difference lies in the data-validation distinction.
Walrus: Keeps the data on the network
Binds its accuracy with the chain
Ensures the application trusts the data
So the application can say:
“This data is not on the chain but is data approved by the chain.”
This distinction represents a critical threshold for Web3 applications.
6. The Logic of the Economic Model
Walrus’s token structure does not lean on the narrative of “high yield” or “aggressive staking.” Instead:
Storage = cost
Field = value
Continuity = incentive
is based on the logic.
This model:
Naturally prevents spam
Makes network resources not consumed randomly
Brings the real need to the forefront
From an expert perspective, this is not exciting but a healthy economy.
7. Why is Walrus Silent?
Projects like Walrus are generally noticed late for two reasons:
Does not make the user directly say “wow”
Value is formed in the infrastructure before price movement
A user thanks to Walrus:
Seamlessly accesses its NFT
Plays the game continuously
Uses the application quickly
But most of the time, it does not know which protocol is behind it.
This is not Walrus’s weakness; it is its nature.
8. Strong–Weak Balance (Cold Analysis)
Strong Side
Focusing on a real problem
Architecture that does not conflict with chains
Directly contributes to application scalability
Weak Side
The difficulty of explaining its story to investors
The risk of “staying in the background”
Comparison with large storage projects
Walrus’s success is measured not by headlines, but by the number of integrations.
9. Conclusion: What Does Walrus Promise?
Walrus does not claim to be “the biggest project of the future.”
Suggests something simpler:
As Web3 applications grow, they should not be crushed under chains.
This does not generate excitement in the short term.
But it is necessary for the ecosystem to survive in the long run.
Walrus does not shout.
Does not try to persuade.
Works.
And often, the true value in infrastructure projects lies exactly here.
#Walrus #WalrusNetwork #WAL #Binance #writetoearn
