Have you ever had this experience: faced with hundreds or thousands of pieces of on-chain data, your finger gets stuck, and your eyes go blurry - wanting to see the truth but unable to?
Bubblemaps can not only provide insights into fund flows in Solidity but also give a comprehensive view across chains.
From piercing insights into Solana to soon supporting TON, and AI-driven 'Magic Nodes' reconnaissance, Bubblemaps is set to become the InfoFi visual infrastructure that will address all your 'confusions'.
1. Supporting more chains - TON, ApeChain, and future new ecosystems
According to the latest roadmap, in addition to existing mainstream chains like Solana, Ethereum, BNB Chain, Avalanche, Polygon, and Arbitrum, Bubblemaps plans to add support for TON (the chain behind Telegram) and ApeChain between 2025 and 2026, hinting at the integration of major exchanges or data platforms (such as Axiom).
This means that in the future, users will not only be able to visualize multiple ecosystems on the same canvas but also intuitively compare inter-chain behavior patterns, achieving true cross-chain insight capabilities.
2. AI-driven upgrade - Magic Nodes, anomaly recognition further evolved
According to Bubblemaps' official roadmap, AI-driven analytical tools will be launched in Q3 2025, including pattern recognition and anomaly transaction detection.
Combining the previously launched Magic Nodes (one-click identification of hidden wallet clusters) and Time Travel (historical distribution review), these smart tools will enhance predictive and recognition capabilities in discovering trading paths, wash trading behaviors, and complex transaction structures, significantly improving users' on-chain research efficiency.
3. DeFi exclusive visualization tools - Decoding complex protocols
In Q4 2025, Bubblemaps will launch advanced visualization features for DeFi protocols, aimed at revealing liquidity distribution, fraud mechanisms, pool manipulation risks, and other behavioral structures.
This applies not only to Memecoin hype identification but also provides a set of intuitive, audit-level visualization tools for contract audits, security analysis agencies, and DeFi user groups.
4. Intel Desk community investigation platform and BMT incentive engine
Intel Desk, as Bubblemaps' community-driven investigation platform, will officially launch in Q4 2025. Users can submit investigation proposals and participate in voting, assisting investigations, and receiving rewards with BMT tokens.
This will tightly integrate on-chain visual insights, community participation, and token economics, giving rise to an innovative new track of InfoFi+DAO.
5. Penetrating mainstream platforms - exchanges, asset portfolio tools, and APIs
Looking ahead to 2026 and beyond, Bubblemaps will promote the integration of its visualization tools into large trading platforms, portfolio management applications, and enterprise-level APIs, making InfoFi no longer a niche tool but a complementary ecosystem with financial basic services.
This step will determine whether Bubblemaps truly becomes a 'chain-on gatekeeper' level platform.
Future Outlook (Summary of the Project 'Big Plan')
Building a true cross-chain InfoFi visual infrastructure: Supporting more ecosystems (such as TON, ApeChain, etc.), integrating on-chain behavior, and creating a consistent visual perspective.
Introducing AI reconnaissance capabilities: Equipping users and analysts with pattern recognition and anomaly detection, making on-chain 'abnormal activities' capture faster and more accurate.
In-depth service for DeFi protocol security: Dedicated tools can dissect the internal liquidity structure of protocols, assisting risk control and compliance.
Intel Desk promotes community co-governance: Connecting user participation + problem identification + reward closure, realizing the democratization of on-chain investigations.
Penetrating mainstream financial interfaces: Integrating Bubblemaps into trading platforms and asset management tools, making InfoFi a basic on-chain tool rather than just an 'observation window'.
