š§© Bubblemaps V2: no-code visual forensics for on-chain behavior
@Bubblemaps.io #Bubblemaps $BMT
Bubblemaps V2, built on multi-chain analytics across Ethereum, Solana, BNB Chain, Base, Tron, and ApeChain, targets transparent token forensics and wallet clustering. It uses Magic Nodes and Time Travel to improve insight and investigation speedāa fit for communities, analysts, and token teams.
š How It Works
Instead of manual SQL or explorer hopping, it auto-clusters holders and reveals intermediary wallets via Magic Nodes; data is visualized from indexed on-chain transfers, with timeline āTime Travelā replay for distribution changes and event alignment. Result: faster anomaly detection, clearer provenance, and shareable evidence for users and teams. š§
š§© Use Cases & Integrations
Built for investigators, community mods, and due-diligence desks, and plugged into shareable embeds and multi-chain RPC indexers, it enables two concrete workflows: expose hidden dump coordination after āfair launch,ā and rewind supply snapshots around listings or unlocks to flag risks.
āļø What If It Used Dune Analytics? (optional)
No official announcement; hypothetically, a modular analytics partner could unlock:
⢠SQL exports and alternative runtimes for custom models
⢠Alerting middleware and cross-dataset joins
⢠Better ops, reliability SLAs, and faster feature shipping
ā ļø Status & Caveats
Confirmed: free public V2, Magic Nodes, Time Travel, multi-chain coverage. Unconfirmed/speculative: future alerting and additional chains. Trade-offs include clustering heuristics, refresh latency, token renounce edge cases, and potential UX misreads. šØ
š Personal Take
Democratizing forensic tooling often reshapes narratives; expect fewer āmystery dumpsā and quicker community response times this cycle.
šØļø Your Move
Will you prioritize cluster evidence or raw transaction logs for incident reports?
How should communities weigh insider-style clusters against liquidity depth and unlock schedules?