Many people only look at Web3 transaction volume and on-chain asset flows, but the true potential actually lies elsewhere — whether applications and user behaviors can be persistently accumulated into value.
What Walrus Protocol is doing is quite interesting. It’s not just providing a decentralized storage solution, but rather designing a protocol that allows data to gradually form a trusted, reusable ecosystem base through long-term accumulation. In simple terms, it’s building a sustainable data deposition system.
Data speaks for itself. Currently, Walrus has stored over 1.2 PB, connected to more than 350 applications, with approximately 180,000 active users. Although these numbers are not everything, they are enough to show that the ecosystem is steadily growing. The key is not just these figures themselves, but what they represent — an increasingly stable long-term structure.
There’s an interesting phenomenon in the on-chain world: once user behavior and data accumulate, they create irreversible advantages. Imagine an NFT game player storing months of progress and assets on Walrus. How difficult would it be for him to switch to another storage solution? What about the psychological switching cost? This kind of stickiness naturally arises. Over time, every piece of on-chain data written can be called upon and depended on by other applications, making Walrus’s moat increasingly difficult to breach.
The economic model is also catching up. Token reward mechanisms allow developers and users to earn returns from data usage, creating a closed loop both technically and economically. Data deposition and value creation thus drive each other forward.
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TxFailed
· 01-09 22:01
ngl the lock-in strategy here is exactly what everyone *should* be looking at instead of chasing tvl numbers. migration costs are brutal once data starts accumulating... learned that the hard way.
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CrashHotline
· 01-09 01:40
1. The concept of a moat has been overused; in the end, it all comes down to who raises more funding and who spends more aggressively on marketing.
2. Data accumulation ≠ value accumulation. The logical gap here is as big as a sieve.
3. 180,000 active users? Sounds impressive, but in Web3, what does that really mean?
4. How is stickiness generated? I think it still depends on whether the product itself can survive.
5. To put it simply, it's just a renamed old story. Storage has been done before.
6. Once the token reward mechanism is launched, be careful of the wave of rug pulls.
7. I disagree. The data moat is far from as solid as imagined; users leaving happens much faster than you think.
8. Closed-loop economy sounds good, but actual operations reveal how bad it really is.
9. 1.2 PB sounds like a lot, but what about costs and profit margins? No one talks about that.
10. It just feels like they're trying to find a story to justify fundraising.
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RektRecovery
· 01-06 23:52
nah hear me out tho... 1.2pb sounds impressive till you realize half of it's probably just dead nft metadata nobody's touching. the "lock-in" narrative is classic, we've heard it before with every storage play that went sideways. migration costs lmao, users will jump ship faster than you think once fees spike or performance tanks. seen this movie too many times.
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BtcDailyResearcher
· 01-06 23:51
This is the true competitiveness of Web3, not just the hype around trading coins.
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BearMarketBro
· 01-06 23:49
The logic of data stickiness is indeed powerful; once users are retained, the cost increases.
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NFTDreamer
· 01-06 23:49
Data stickiness is indeed strong; the psychological cost of changing storage solutions is much higher than expected.
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SigmaValidator
· 01-06 23:48
Data accumulation has indeed been underestimated. Compared to mere trading volume, ecosystem stickiness is the true moat.
Many people only look at Web3 transaction volume and on-chain asset flows, but the true potential actually lies elsewhere — whether applications and user behaviors can be persistently accumulated into value.
What Walrus Protocol is doing is quite interesting. It’s not just providing a decentralized storage solution, but rather designing a protocol that allows data to gradually form a trusted, reusable ecosystem base through long-term accumulation. In simple terms, it’s building a sustainable data deposition system.
Data speaks for itself. Currently, Walrus has stored over 1.2 PB, connected to more than 350 applications, with approximately 180,000 active users. Although these numbers are not everything, they are enough to show that the ecosystem is steadily growing. The key is not just these figures themselves, but what they represent — an increasingly stable long-term structure.
There’s an interesting phenomenon in the on-chain world: once user behavior and data accumulate, they create irreversible advantages. Imagine an NFT game player storing months of progress and assets on Walrus. How difficult would it be for him to switch to another storage solution? What about the psychological switching cost? This kind of stickiness naturally arises. Over time, every piece of on-chain data written can be called upon and depended on by other applications, making Walrus’s moat increasingly difficult to breach.
The economic model is also catching up. Token reward mechanisms allow developers and users to earn returns from data usage, creating a closed loop both technically and economically. Data deposition and value creation thus drive each other forward.