Recently, I've been looking at those "tag/cluster" tools that create profiles for addresses. To be honest, they can only serve as a starting point, not a conclusion. An address labeled as "smart money" might just be a team multi-sig hot wallet moving funds around, or it could be a collection address passing through an exchange... The fund flow looks smooth, but once it crosses several layers or gets mixed multiple times, the pattern changes. It’s like... it looks like...: like a map but also like a filter—seeing the road clearly but also erasing the details.

Now everyone is comparing RWA and U.S. Treasury yields to on-chain yield products. I understand, after all, they’re all looking for "relatively stable" assets. But when on-chain yields are built on subsidies and incentives, profile tools can be more misleading: a bunch of addresses seem to be "farming," but in reality, it’s the same group of people front-running and washing data. Anyway, I’ll start with small-scale testing—watch how rewards are distributed, how liquidity is withdrawn, and the details like gas and slippage—see if it can run smoothly before making any conclusions.