Highlighting the Difference in Anti-Fraud Tools: "Why Does Bubblemaps Understand Anti-Fraud Better as a Blockchain Tool?"

Traditional blockchain explorers are filled with code that non-professional users cannot understand; ordinary data tools can only display basic information and cannot provide risk warnings—yet @Bubblemaps stands out among Web3 tools as an anti-fraud 'benchmark'. The core of its success lies in its dual advantages of 'visualization + practicality', greatly empowered by the ecosystem of the $BMT tokens.

Unlike traditional tools that are 'heavy on data, light on interpretation', #Bubblemaps transforms on-chain data into intuitive insights using 'bubble charts': without needing to analyze code, users can identify wallet clusters through the size and color of bubbles; with the 'time travel' feature, historical transaction records can be viewed with a single click, eliminating the need for manual tracing. For example, when analyzing a certain token, traditional tools can only display holding rankings, while @Bubblemaps.io can directly reveal hidden associations between addresses, helping you discover potential links between 'snipers' and project parties. This level of precision is crucial in scenarios such as preventing fake token bundling and abnormal fund flows.

In terms of practical anti-fraud measures, Bubblemaps far exceeds similar tools: it not only exposes real cases like YZY and LIBRA through official accounts but also collaborates with Binance Square to promote safety knowledge; it also builds an incentive system through BMT that encourages users to actively report fraud cases, creating an ecosystem of 'community investigation'. In contrast, other tools often rely on unilateral updates from their teams and lack community collaboration capabilities. Today, #Bubblemaps has been integrated across multiple platforms, and the governance mechanism driven by $BMT allows its functionalities to evolve in line with user needs, making it the 'preferred tool' for anti-fraud in Web3.