In a market where rug pulls frequently occur, the biggest problem is not a lack of tools, but how to allocate investigative resources. Intel Desk has established this as a mechanism using $BMT : who prioritizes, who invests, who verifies, and who receives rewards.


1. Mechanism Design: Submission—Voting—Distribution—Output

Anyone can submit suspicious projects and preliminary clues, using $BMT to vote and form 'investigation priorities.' Priority topics are assigned to the research pipeline: V2 chart modeling (Magic Nodes/Time Travel), address lineage sorting, off-chain verification (announcements, KOL, CEX flow) and conclusion writing, finally publishing the reproducible evidence chain as feedback. Bubblemaps Updates


2. Token Functions: Governance × Function × Incentive

$BMT One coin, multiple roles:

  • Governance: Voting determines 'who to investigate first.'

  • Function: Unlock advanced capabilities and research permissions of V2.

  • Incentives: Rewards are issued for high-value contributions (such as discovering key clusters, time-aligned evidence).
    This makes 'anti-fraud' no longer a temporary mobilization, buta normalized division of labor within the community..

3. Cross-Chain Accessibility: LayerZero OFT and 1:1 Supply Mirror

To enable users from different ecosystems to participate, BMT operates in the form of LayerZero OFT on Solana/BNB Chain: when transferring cross-chain, A chain destroys, B chain mints, maintaining a consistent total supply mirror and reducing additional trust assumptions for wrapped assets. This is especially important for governance voting and incentive distribution.


4. How to 'complete the last mile' of research output

Survey conclusions are not just a long article. Through V2 and front-end integration (such as the embedded view in DEXScreener), prompts like 'concentration anomalies' are presented directly at the ordering site, extending the impact of research to trading decisions.


Conclusion

Intel Desk institutionalizes the research process, and BMT is responsible for operationalizing the system. When 'auditable research' can be governed, incentivized, and fed back to the front end, the market's pricing logic will reflect distribution facts earlier.

@Bubblemaps.io | #Bubblemaps | $BMT