🔎 Community alert evolved into a full investigation, exposing a coordinated wallet cluster dumping supply.
@Bubblemaps.io #Bubblemaps $BMT
A young user noticed abnormal pump-and-dump behavior on token XYZ and flagged Intel Desk.

They deposited 100 BMT and documented links, time windows, and liquidity patterns as evidence.

🗳️ Community voters allocated investigative time proportionally to staked BMT, prioritizing this case within the weekly cycle.

Bubblemaps applied Magic Nodes to surface intermediaries obscured in default holder-only visualizations.

🔬 Bubble graphs revealed linked wallets controlling roughly ten percent supply, executing synchronized market dumps.

Trade flows were cross-checked against liquidity pools and centralized deposits to confirm profit routing.

📢 Results were published with chart annotations and flags, enabling rapid community recognition of recurrences.

🎯 Incentives aligned transparently: proposer received BMT, voters gained early access, contributors earned proportional rewards.

All artifacts—transaction hashes, wallet sets, and heuristics—were archived for reproducibility and future audits.

📜 The workflow stayed verifiable end-to-end: stake, vote, investigate, publish, reward; discretionary gatekeeping minimized.

Accessibility mattered, empowering non-developers whose intuition sometimes outruns dashboards and prebuilt alert heuristics.

Trust compounds as successful investigations attract participation, which broadens coverage and deters opportunistic manipulation.

Operationally, prioritized tickets dictated analyst time, while others remained open for replication and learning.

Speculation note: volumes alone never prove intent; pattern-matching requires context, timing, and counterpart mapping.

This case study shows decentralized forensics turning vigilance into action without promising profit or trading outcomes.

Question for you: which red flags deserve investigation next, and what evidence would you submit?