2026-01-15 14:31:07

Looking at Walrus's storage solution, it is indeed a bit different. Most distributed storage projects play the "multiple copies" approach, but Walrus takes a different route—using erasure coding to split data into fragments and distribute them across different nodes.

The clever part is that as long as you collect enough fragments, you can reconstruct the complete data. If a node goes offline? No problem. This approach directly reduces storage redundancy costs from dozens or even hundreds of times down to around 4.5 times. It sounds abstract, but from another perspective—this is using mathematics and engineering to solve real economic problems.

Instead of flashy concepts, it focuses on optimizing efficiency in real-world scenarios. This kind of thinking is actually quite rare in Web3 infrastructure.

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WalletManager

· 5h ago

The red erasure code system has been thoroughly understood long ago. 4.5x redundancy? It depends on the node reliability coefficient; otherwise, a collapse can happen quickly. Hold tight to the chips; infrastructure is the key. The idea behind Walrus is similar to my sharding logic for multi-signature wallets. On-chain analysis shows that these types of projects are promising in the long run. There are so many hype projects, finally someone daring to speak with data. I'm just worried that node operators might slack off, making it hard to control the cost of shard recovery, and the risk factor needs to be further reduced. This is what true value investing thinking looks like. No fake stuff here; I’m all in.

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DEXRobinHood

· 5h ago

Hey, finally a project that doesn't boast and just gets to work. I have to give props to this mathematical approach—4.5 times redundancy cost, easily surpassing those stupid duplicate storage schemes. Red erasure coding is indeed impressive; it all depends on how stable the subsequent nodes are. Alright, let's consider this as a worthwhile direction to follow.

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OnchainDetective

· 5h ago

Wait, I need to figure out where this 4.5x number comes from. According to on-chain data, most projects claiming "cost optimization" ultimately did not meet expectations... Clearly, there's something fishy here. Walrus's red erasure coding scheme sounds very promising, but I'm more concerned about—how is the node incentive mechanism designed? Could there be a situation where certain wallet addresses control a large amount of storage rights? Such a pattern could easily lead to new centralization risks. It's quite interesting, but we need to verify the actual operational data before drawing conclusions. Don't be fooled by the white paper. Tracking multiple addresses reveals that the core developer wallets of Walrus are linked to... Wait, the fund relationships behind this are a bit complex. After analysis, the biggest risk with projects like "breakthrough" projects is incentive distortion. What if, at that time, storage nodes are filled with zombie addresses? The 4.5x cost sounds cost-saving, but the real issue is—after data fragmentation, will recovery latency become a bottleneck? The white paper doesn't mention this. But on the other hand, this approach is indeed more pragmatic than those projects that blow concepts every day... However, in Web3, the more pragmatic you are, the easier it is to be overlooked.

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PumpAnalyst

· 6h ago

Bro, the red erasure code trick sounds awesome, but can 4.5x redundancy really hold up, or is it just another PPT project fooling people? If the redundancy costs can really be cut so aggressively in practice, I'm actually a bit worried—where did risk control go? The technical aspect looks great, but whether it can truly stand the test after the mainnet launches is the key. Everyone, please don't get caught up in the hype from fundraising news. I don't deny the idea is good, but many Web3 infrastructures have failed before. I suggest paying attention to the actual performance of key nodes before deciding whether to get on board.

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FancyResearchLab

· 6h ago

Oh wow, finally someone dares to properly use erasure coding. Previously, I mostly heard about all kinds of "revolutionary consensus mechanisms" hype. This time, Walrus is actually getting down to real accounting—4.5x redundancy vs. 100x replicated storage, math doesn't lie. --- Honestly, I just like this straightforward approach. No need to use those flashy buzzwords; the real key is to cut costs. --- Erasure coding is brilliant. Why hasn't anyone played around with it like this before... Oh right, because I fried my brain writing smart contracts, and I locked myself out again. --- Wait, can this really run stably? Won't data reorganization after node failures cause issues? --- Not bad, not bad. At least there's a project seriously doing engineering instead of just marketing concepts these days. It's not easy nowadays. --- Fragment stitching sounds simple, but how does it perform in real operation? Let me try this mathematical trap first.

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