Hey, I just adjusted a Subgraph query, and the result got stuck again on RPC rate limiting—the page keeps spinning and spinning to the point where I start to doubt my sanity. Funny, right? Recently, everyone’s been looking at on-chain data and saying, “Why does it stall again?”—but it’s not that the chain is congested. It’s more like a fight between the indexer and the RPC layer in the middle. In any case, if you use Dune or The Graph, essentially you’re relying on data the indexer has already fetched in advance. But once your request frequency goes up, the RPC side throttles you—like a security guard at the door blocking your delivery. No matter how much you urge it, it won’t help.

Sometimes it’s also because you’re greedy: you want to look up historical transactions and keep changing and querying multiple contract addresses in a row. If the indexer’s cache hasn’t caught up, it just hangs. I also recently noticed that some indexers are set with a low update frequency, but if my local node’s latency rises, the data ends up being delayed by a few seconds—and that really annoys me. Maybe this is what “data availability” looks like in everyday life: you think it’s there, but it hasn’t fully turned over yet.

Lately I’ve been seeing all that chatter about ETF fund flows and risk appetite in the US stock market, and it’s pretty unsettling. The data is moving, but that on-chain “sense of delay” keeps making me wonder: should decisions be made by following indicators, or should I trust my own first instinct? If I have to choose, I trust data more—not because it’s absolutely accurate, but because at least you know when it might be wrong. Intuition, on the other hand, can easily mistake today’s fluctuations for what the future will be.