Case #5 — Intel Desk × YouTuber: tracing post-funding sell patterns on a hot Layer-2

@Bubblemaps.io #Bubblemaps $BMT

A respected YouTuber submitted a report on a trending Layer-2 raising fresh funding.

Intel Desk prioritized the case via $BMT voting, assembling analysts and on-chain tooling quickly.

🔎 Bubble charts revealed concentrated ownership clusters and pathways between treasury, team, and affiliated wallets.

Time Travel compared snapshots around milestones, exposing sales immediately after each funding announcement.

🧩 Magic Nodes inserted bridges, hubs, and exchange endpoints, unmasking intermediaries connecting supposedly independent sellers.

Funds moved from team-linked wallets through shared hubs before arriving at DEX or CEX venues.

Once published, the warning triggered scrutiny, and prices fell sharply across several subsequent trading sessions.

⚠️ The takeaway is simple: narratives matter less than patterned money flows and repeating counterparties.

Partnering with credible investigators amplifies evidence, translating complex graphs into accessible, verifiable public exhibits.

This workflow scales beyond memecoins to L1s, L2s, DeFi protocols, and prominent NFT treasuries.

🧭 Practical steps: verify contracts and treasury addresses, then assess holder concentration using Bubblemaps bubble charts.

Enable Time Travel around funding, listings, or partnerships, checking for repeated post-event distribution bursts.

Enable Magic Nodes and hunt shared hubs routing multiple internal wallets toward exchanges or liquidity pools.

Cross-reference communications and tokenomics for inconsistencies, preserving screenshots and timestamps for community verification.

Speculation: recurring post-milestone selling likely signals coordinated exits rather than neutral treasury rebalancing.

Bottom line: crowd intelligence plus transparent graphs convert rumors into accountable, campaign-level risk detection.