Is the bubble chart good-looking? Yes, it is, easy to recognize 👊
Although BMT's functions are becoming increasingly完善, to use it correctly, one must first be aware of its boundaries. What it displays is the high correlation between on-chain funds, rather than legal 'ironclad evidence.'
Let me give you an example: frequent interactions between certain wallets may seem to belong to the same team, but they could also just be sharing upstream funds or jointly participating in an activity. The concentrated actions of mixers, multi-signature wallets, or airdrop hunters may lead to 'misjudgments.' Therefore, BMT's data conclusions should be verified in conjunction with announcements, audits, and third-party labels for higher accuracy.
From a commercialization perspective, BMT's model is already quite clear: on one hand, it offers a subscription service for individual users, providing more historical data, observation lists, and export functions; on the other hand, it provides API services for institutions, pushing on-chain intelligence to risk control systems. In addition, BMT collaborates with ecological partners like wallets and aggregators to allow more users to access this set of tools in their daily operations.
Where to go in the future? BMT's value will be more reflected in data collaboration and the trend of transparency. As regulations continue to tighten, if project parties want to enhance compliance, they must be more transparent about fund flows. BMT just happens to provide this 'public disclosure panel' to help projects reduce external doubts.
From the community perspective, BMT may also introduce more incentive mechanisms, such as rewarding users with points or tokens for tagging and verifying, thus improving data accuracy. In the long run, whoever can expand more cooperative scenarios while maintaining high accuracy will become the 'default tool' in the field of on-chain intelligence.
For users, perhaps the best way to use BMT is not to treat it as a referee, but as a microscope. It can help you see details that others cannot, but how to interpret these details relies on your own judgment and understanding of the market.
@Bubblemaps.io #Bubblemaps $BMT
