In the research of crypto assets, the token distribution structure often determines the underlying risk of the project. The emergence of Bubblemaps transforms the originally obscure on-chain data into intuitive risk signals.
Its core lies in the bubble chart visualization: the size of the bubbles represents the holding scale, and the connections show the flow of funds, helping researchers quickly determine whether holdings are overly concentrated and whether there are hidden relationships between wallets. Compared to traditional block explorers, this method greatly shortens the information interpretation process.
In terms of functionality, Magic Nodes can reveal the operational logic behind seemingly independent groups of wallets; Time Travel allows users to trace the evolution of token distribution over time, particularly suitable for tracking unlocking periods and whale transactions; Intel Desk accumulates intelligence through a community crowdsourcing model, currently amassing over 200,000 records, forming a significant data barrier.
Token $BMT is responsible for the ecological value capture, covering three major applications: paying Intel Desk service fees, unlocking advanced analysis, and serving as a pass for InfoFi data products. On-chain data shows that the number of active holding addresses has increased by 137% over the past three months, corroborating the platform's average daily query demand of 150,000.
In conclusion, Bubblemaps has gradually become an essential tool for researching high-risk assets such as meme coins, with its positioning shifting from analytical assistance to investment research and risk control infrastructure.
