In today’s increasingly complex on-chain behaviors and the modular structure of DeFi projects, Bubblemaps (BMT) enters this field with its unique data visualization capabilities, providing users and developers with unprecedented insights. As one of the earliest tools widely used on the Ethereum and Polygon chains, BMT transforms complex address relationships and on-chain trading dynamics into the form of bubble charts, making originally obscure on-chain data analysis intuitive and understandable, truly implementing the word 'transparency' within the images.
BMT's most popular feature is its intuitive display of project token distribution structures, especially in helping users identify whether a project has centralized holdings, airdrop control, or potential pump-and-dump behaviors. In the NFT field, BMT can quickly identify the trading density and interaction frequency among multiple key wallets, revealing the complex relationships between hidden operating teams or whale users. This powerful 'visual truth engine' not only provides ordinary users with risk warning tools but also becomes a key tool for professional data analysts and research institutions to examine project authenticity.
As the user base continues to expand, BMT has gradually evolved from a 'tool' to a 'platform'. Its Bubble chart is no longer just a static display; it can now interact with DEXs like Uniswap to automatically identify new liquidity, abnormal trading aggregations, and single wallet control behaviors. At the same time, BMT is also collaborating with various API tool providers, planning to package the Bubble chart service into API interfaces for on-chain wallets or third-party data analysis platforms to call, establishing an 'on-chain credit scoring' system. This transformation path not only brings a more stable business model to its platform but also broadens the depth and breadth of its ecosystem.
Of course, BMT is not without its shortcomings. The current issues mainly lie in explanatory capabilities and user education. Many users, even when seeing the bubble chart, may not understand its underlying meaning. If project parties or researchers cannot provide timely annotations, the charts may still remain superficial. To address this, the BMT team is testing a 'image annotation + AI explanation' module, which in the future may automatically identify noteworthy links in the graphics and provide risk alerts in both Chinese and English, greatly enhancing ordinary users' trust in its results.
Overall, BMT is evolving from an on-chain data visualization tool to an on-chain behavior recognition platform. If it can further standardize and structure its data analysis services in the future, it is expected to establish a stronger leading position in the on-chain security and transparency arena.