A saying has circulated in the crypto market: 'You never know if the person on the other side of the screen is an individual or a group of bots controlling the market.' When a certain NFT project creates hype with 'trading from 1000 independent addresses,' ordinary investors find it difficult to realize that these addresses are actually controlled by three entities—until Bubblemaps transforms on-chain data into an intuitive bubble map, revealing the hidden connections and traces of pooled funds. Today, this on-chain intelligent visualization engine is empowering 'on-chain detectives,' allowing ordinary users to easily see through the underlying logic of market manipulation.
The barrier to traditional on-chain analysis has been insurmountably high. To determine whether a certain token is being controlled, one would need to manually compare the transaction timestamps and gas fee sources of dozens of addresses, and even track the traces of cross-chain transfers, which is impossible for non-professionals. However, Bubblemaps' 'relationship graph algorithm' simplifies this process to 'identifying risks by looking at the map': the platform automatically marks the 'kinship relationship' between addresses—if Wallet A transfers funds to Wallets B, C, and D within an interval of no more than 3 seconds, and uses the same IP to pay gas fees, the system will cluster these wallets as 'related entities' and present them with bubbles of the same color. A certain Meme coin project once claimed to have 'diversified holdings across 5000 addresses,' but Bubblemaps' graph showed that these addresses were actually controlled by 7 related entities, two of which had early transfer records directly pointing to the project team's wallet—this kind of 'foolproof warning' allows novice investors to quickly identify risks.
More critically, it has built a 'Risk Label Sharing Library.' Through the Intel Desk community investigation layer, users can label suspicious addresses with tags such as 'historical manipulation,' 'fraud association,' and 'exchange market-making.' After these tags are verified by BMT token holders through voting, they will be synchronized into the bubble map across the network. Last year, a quantitative fund attempted to 'split positions through 100 intermediary addresses,' but was marked by community users as 'operated by the same institution.' The exposure of relevant tags directly led to an 18% short-term correction of the token. Data shows that the platform has accumulated over 200,000 'high-risk address library' labels, covering more than 90% of historical fraud cases—ordinary investors do not need to conduct their own investigations; they can avoid 80% of known traps simply by checking address labels.
For the crypto market, Bubblemaps' value has long surpassed its tool attributes. It transforms 'on-chain transparency' from a slogan into a perceptible experience: when investors find that more than 60% of the top 20 related entities' holdings are concentrated, they will naturally stay alert to the 'decentralization' narrative; when they see whale wallets continuously depositing into exchanges for three days, they can also avoid sell-off risks in advance. This 'data-driven rationality' is rewriting the rules of crypto investment—the era of making profits through information asymmetry is gradually coming to an end; now, those who can understand the flow of funds in the bubble map will hold the initiative in the market. It can be said that Bubblemaps is not only cultivating millions of 'on-chain detectives' but also driving the entire market from 'gambling competition' to a mature cycle of 'value discovery.'
