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Recently, I’ve been staring at block times while pulling data, and the more I look, the more I feel: you think you’re “watching on-chain,” but a lot of the time you’re really just watching the mood of a certain node/RPC… If the RPC gets busy or the cache hasn’t updated, your wallet balance, NFTs, and even your transaction status can all be delayed by half a beat. Indexers are even more exaggerated—charts look like real-time data, but in reality they’re already several minutes behind.
These past couple of days there haven’t been mainstream public chain upgrades/maintenance going on—everyone in
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Lately, I keep seeing people use “tags + clustering” to build profiles of addresses. To put it simply, they bundle a bunch of addresses that look related, and then slap on labels like “institution/whale/smart money.” It’s practical—I look at it myself, especially on the L2 side, where addresses constantly come and go and once batch transfers become frequent, without clustering you really can’t make sense of how the funds are routing around.
But the problems are also pretty clear: the moment an exchange’s hot/cold wallet moves, or a large on-chain transfer goes out, it gets interpreted as “smar
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