In the on-chain research field, Bubblemaps is changing the analytical paradigm.
In the past, we relied on transaction lists and block explorers. Although the data was transparent, it was extremely fragmented, and researchers needed a lot of time to piece together the flow of funds. Bubblemaps introduces visual map analysis: each wallet corresponds to a bubble, the size of the bubble represents the holding scale, and the lines connecting the bubbles display the token transfer relationships. Through this intuitive presentation, users can capture in seconds:
Which addresses are core holders (whales or project teams)
Whether there are potential collaborations or control behaviors between wallets
The concentration of fund flows within specific time windows
Its two core functions—Magic Nodes and Time Travel—further enhance the depth of on-chain due diligence. The former is based on pattern recognition, revealing groups of wallets with consistent behaviors, thereby identifying potential team wallets or market maker networks; the latter allows researchers to trace historical fund distributions, analyzing the evolution of key behaviors such as unlocking, selling, and building positions over time.
In terms of technical adaptation, Bubblemaps covers mainstream chains such as Ethereum, Solana, BNB Chain, Arbitrum, and Base, and integrates with tools like Etherscan, DEXScreener, CoinGecko, and OpenSea Pro, enhancing research efficiency. Meanwhile, the Intel Desk mechanism introduces community voting and surveys, forming a new model of "decentralized auditing."
Its token BMT plays a dual role in the system for functionality and governance: unlocking advanced features (such as AI analysis, P&L calculation), participating in community proposals and voting, and initially incentivizing active users through airdrops.
Overall, the value of Bubblemaps lies in lowering the cognitive threshold for on-chain analysis while providing the depth needed for professional research. It is suitable for traders conducting due diligence before listing tokens, as well as for community researchers and risk control personnel conducting fund tracing.
In summary: Bubblemaps transforms on-chain data from "hard-to-read tables" into "actionable insights."
