During the TRUMP token crash event in January 2025, Bubblemaps' bubble chart acted like an on-chain microscope, accurately identifying the behind-the-scenes manipulator—one Solana wallet purchased $5.9 million of TRUMP in the first minute after token launch, then sold off in batches to cash out $116 million, ultimately causing 400,000 investors to be liquidated. This 'data perspective' capability is the core value of Bubblemaps: transforming complex on-chain data into an interactive bubble chart, making hidden fund flows and market manipulation visible.
Three dimensions of technical reconstruction
1. Dynamic Clustering Algorithm: Bubblemaps' Magic Nodes function analyzes 12 dimensions of data, including the Gas payment relationships and transaction timestamps between wallets, to automatically identify associated address groups. In the recent LIBRA token incident, this algorithm uncovered evidence of the same team manipulating both the Melania Coin (MELANIA) and the Argentine President Coin (LIBRA)—$2.4 million worth of USDC crossed from the Solana chain to the Avalanche chain, ultimately flowing into the same operator's wallet.
2. Time Travel Engine: Users can trace back the token distribution at any point in time to observe the changes in whale holdings. For example, in the DINO token scam, the Time Travel feature revealed that the project team had accumulated 87% of the tokens through 132 wallets three months before the launch, subsequently creating false trading volumes on exchanges to inflate prices.
3. AI-Assisted Interpretation: Combining NLP technology, Bubblemaps transforms on-chain data into natural language reports. Beta user feedback indicates that a token distribution analysis that originally took 3 hours can now generate a complete report including indicators such as 'concentration risk' and 'exchange wallet ratio' in just 10 seconds.
Key battles for ecological implementation
Currently, Bubblemaps has integrated with 12 mainstream platforms including Etherscan and CoinGecko, allowing users to jump to the bubble chart with one click while viewing token information. Its core governance mechanism, Intel Desk, has even innovated the '全民侦探' (Everyone's Detective) model:
• Proposal Mechanism: Users stake BMT to submit investigation topics, such as abnormal fluctuations in a certain DeFi protocol's liquidity pool.
• Voting Decision: Token holders decide priorities through on-chain voting, with the highest voted proposals undergoing in-depth audits by the security team.
• Reward Closure: Users who successfully verify fraudulent behavior can receive BMT rewards, while the proposal initiators gain priority access to audit reports.
This mechanism has proven effective in the recent DINO token investigation: community voting prioritized this project, revealing its 'fake LP staking' scam within 48 hours and avoiding over $200 million in losses.
