2026-01-02 16:25:17

In the past, time seemed to crawl like a snail. It took a full three years for a new chain to be born, and the development team spent countless seasons in repeated discussions, testing, and iterations. When handing over a requirement, they had to wait through multiple lunar cycles.

Now? After the product manager提出需求 in the morning, the chain is ready to go live on the mainnet by evening. The development pace is so fast that it’s a bit overwhelming— from concept to launch, the entire cycle has been compressed to the limit. This is not just an efficiency improvement but also a reflection of the rapid iteration and intensified competition in blockchain technology. Those who fall behind may be eliminated.

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WalletInspector

· 01-05 15:11

Releasing in the evening after a morning demand, this pace is truly frightening. It's indeed a rush, but what about quality? Three years versus one night, this is a life-and-death competition. Projects that die slowly really have no way out, it's brutal. Really? Such a quick turnaround, aren't you afraid of crashing? The development team must be exhausted, I feel for them. Can speed and security be achieved simultaneously? I doubt it. The era of racing against time has arrived; those who react slowly will be eliminated.

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MEVHunter_9000

· 01-02 16:54

It's exhausting, three years feel like one day—that's the power of internal competition.

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BearMarketNoodler

· 01-02 16:52

Haha, three years turned into one night, the efficiency is truly comparable to a rug pull.

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HappyToBeDumped

· 01-02 16:50

The demand in the morning for the mainnet in the evening is really impressive, but I feel like the code quality is declining.

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SelfSovereignSteve

· 01-02 16:48

Even my grandma would have to keep up with this pace, or else just wait to be left behind.

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CryptoNomics

· 01-02 16:45

honestly, the compression ratios here don't pass basic statistical significance tests. three years to overnight? that's not efficiency, that's corner-cutting masked as innovation. if you actually model the failure rates with proper regression analysis, you'd see quality degradation correlates almost perfectly with velocity increase. but sure, let's celebrate cutting qc cycles in half.

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