Intel Desk turns Web3 investigations into an open, token-powered forensics layer run by community incentives.
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It replaces rumor-driven threads with an auditable loop: stake, prioritize, investigate, publish, and reward participants.

🔍 Token-powered bounty mechanics align effort with risk, using $BMT stakes to signal credible community priorities.

Weekly allocations route analyst time proportionally, preventing headline bias and concentrating resources where evidence compels.

Rewards flow transparently to proposers, voters, and contributors, with on-chain records enabling independent verification anytime.

🧭 Capacity scales elastically because staking expands case throughput without centralized headcount, budgets, or opaque gatekeepers.

🧩 Magic Nodes, interactive bubble charts, and Time Travel surface clusters, flows, and synchronized actions across timelines.

The interface abstracts graph theory, helping non-experts assemble on-chain evidence and file actionable, reproducible briefs.

Published findings become machine-readable feeds for explorers, wallets, and dApps to automate risk labels and warnings.

DAOs and funds can plug reports into diligence pipelines, accelerating incident response and improving treasury protection.

A typical cycle looks disciplined: stake, vote, investigate, publish, then distribute rewards according to verifiable contribution.

Because allocations reset weekly, stale narratives fade, while fresh evidence consistently captures collective attention and resources.

Speculation: as adoption grows, secondary tools may price risk using aggregate Intel Desk case outcomes.

Result: vigilance becomes infrastructure, and transparency scales with community curiosity rather than marketing budgets.

Which investigation would you prioritize this week, and how much $BMT would you allocate?