2026-01-21 13:22:12

Recently, many data analysis experts have been studying some complex on-chain projects. There is a storage protocol that is particularly popular in community discussions, so let's analyze it from a data perspective.

**Activity: A Real Network in Operation**

Since the mainnet launch, the number of unique accounts has exceeded 55,000, with over 4,000 new ones added in the past day. But that's not the most intuitive—on-chain records show over 1.78 million data block write events. These are not simple transfers but actual storage and verification operations, indicating that the network is not idling but actively handling business.

Looking at node distribution, 111 storage nodes are maintained by 103 independent operators. This is especially important—independence directly relates to resistance to censorship and system robustness. Nodes are deployed across 17 countries worldwide, with 53 active projects currently connected.

**Cost Model: How Much Can You Save?**

Being active isn't enough; we also need to consider economic efficiency. Compared to traditional full replication, using erasure coding technology can reduce storage costs by 70%. This is a significant advantage for data-intensive applications.

In terms of efficiency, traditional full replication benchmarks at 25x, ordinary erasure coding achieves 3x, and this project reaches 4.5x. For scenarios requiring massive data, such as AI training and prediction markets, the cost advantages are particularly pronounced.

**Technical Potential: Paving the Way for Next-Generation Applications**

The design of dividing data into fragments and distributing them globally is interesting—not for cold backups, but to support high-speed, real-time data access. This architecture is inherently suitable for AI models' demand for data "fuel."

The project team has already partnered with professional AI infrastructure providers to create an integrated platform from storage to model training. If the prediction market component can be integrated, this infrastructure could become the invisible backbone of the AI economy by 2026.

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JustAnotherWallet

· 14h ago

Hmm, these data look really solid, unlike those air projects. Wait, 1.78 million write events? Is that real? Is there a possibility that the data volume was artificially inflated? Reducing costs by 70% with erasure coding—I've thought about it, theoretically it's feasible, but how practical is it in real-world scenarios? 50,000 accounts sound like a lot, but I wonder how active they need to be to truly achieve network effects. Having nodes in 17 countries worldwide sounds impressive, but can a distributed network really prevent censorship? I think that still depends on future developments. I'm particularly interested in the AI training aspect. Will it be sustainable by 2026, or is it just hype? We'll have to wait and see.

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RugDocDetective

· 14h ago

Reducing erasure coding costs by 70%? That number sounds a bit optimistic; it depends on the actual applications running. Don't let it be just PPT data again.

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SandwichVictim

· 14h ago

70% cost reduction? Hmm, this data sounds like a story from a PPT. Has it actually been on the blockchain?

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GasGrillMaster

· 14h ago

5.5 million accounts so quickly? Keep an eye on the team's actual delivery --- Erasure coding reduces costs by 70%, sounds impressive, but I'm worried it might just be a PPT architecture --- With nodes deployed in 17 countries worldwide, are there really that many independent operators on board? --- If AI training costs can truly be reduced, that would be quite promising --- Will the prediction market support by 2026? Let's wait and see what cases emerge this year --- 1.78 million write events sound like a lot, but it depends whether these are genuine needs or just internal hype --- 103 independent operators maintain the system; diversifying risk is good, but I'm worried that incentives might lag behind, leading to people leaving --- If this integrated platform really gets developed, it could secure a position in the AI infrastructure track --- Everyone can boast about cost advantages, but the key is the actual user renewal rate

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probably_nothing_anon

· 14h ago

Erasure coding reduces costs by 70%, which is indeed impressive, but honestly, with 55,000 accounts, it's hard to see much. What’s truly interesting are the 103 independent operators—that’s the real sense of decentralization. No one can predict what AI infrastructure will look like in 2026, but based on current data, things are definitely progressing. Wait, what’s the name of this protocol again? Why hasn’t the name been mentioned?

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SilentAlpha

· 15h ago

Oh my God, reducing the erasure coding cost by 70%? If that's true, it should have taken off long ago. --- Writing 1.78 million blocks without hype, this data is quite interesting. --- With nodes deployed in 17 countries worldwide, it seems like real work is being done, unlike those air projects. --- If the AI training support truly becomes a reality, 2026 could indeed be a critical year. --- Only 4,000 new accounts out of 55,000, the growth rate doesn't seem as rapid as expected. --- This erasure coding system benchmarks well against traditional solutions, but how much cheaper it can really be for users still needs to be verified. --- Having 53 projects connected sounds like a lot, but it depends on the actual scale of these projects. --- Not fake; the large number of data blocks clearly indicates real business operations, no problem there. --- 103 independent operators maintaining the network, with such dispersed distribution, it might be prone to issues. Aren't you worried about skyrocketing coordination costs? --- The invisible support behind the AI economy? It's a bit early to hype 2026; let's focus on stabilizing current work first.

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