Bubblemaps is definitely the dark horse in the on-chain analysis track. Essentially, it is a visualization engine that transforms messy on-chain data into usable intelligence. Currently, traders, protocol parties, and research institutions from nine mainstream public chains are using it to track token flows and wallet behaviors, which is quite impressive in the industry.
In terms of functionality, Bubblemaps has come up with several interesting features. The Magic Node can automatically identify key addresses in the token distribution path, the Time Rewind function allows users to view the holding distribution at any historical moment, and the most remarkable feature is their Intel Desk—this is a crowdsourced analysis platform that enables community members to collaboratively solve cases, and this mechanism is significantly stronger than those closed-door on-chain tools. Additionally, it can be directly embedded into commonly used platforms such as Etherscan and DEXScreener, making it very user-friendly for high-frequency traders who don’t have to keep switching pages.
Speaking of token economic models, the design of BMT clearly shows thoughtful consideration. 70% of the reward pool is distributed to the top 300 contributors on the leaderboard, while the remaining 30% is shared equally, stimulating continuous output from leading players while also addressing community enthusiasm. The on-chain data track is still in a phase of wild growth, and tools like Bubblemaps that develop both tools and ecosystems indeed have more imaginative potential than peers that only sell APIs. Especially now, as the market becomes increasingly sensitive to wash trading and chip manipulation, the value of tools that can visualize token distribution in real-time will only increase.
From the implementation perspective, the coverage of nine chains combined with the plug-and-play nature of mainstream platforms indicates that the product has moved past the stage of just making grand promises. However, when it comes to potential, it still depends on whether Intel Desk can form a sustainable content output flywheel—after all, the most valuable insights in on-chain analysis come from human brains, not raw data. If the community is well-managed, this project could very well become the on-chain version of the Bloomberg Terminal.
