BubbleTech operates as a modular, high-performance architecture composed of three core layers: Ingestion, Processing, and Visualization.
Ingestion Layer - 1
Connects to primary blockchain data providers such as Helius for decoded transaction feeds.
Aggregates token transfers, swap instructions, and program calls through resilient, rate-controlled job queues.
Employs caching and deduplication to ensure consistent response times during peak data loads.
Processing Layer - 2
Classification Engine: Applies multi-stage heuristics to infer transaction types and interaction patterns while filtering noise from system accounts.
Graph Constructor: Curates wallet-to-wallet and wallet-to-contract connections, preserving only high-signal relationships.
Enrichment Layer: Integrates optional external data sources such as Moralis and DexScreener to enhance context with token valuations, portfolio data, and liquidity depth.
This layer is where most of the intelligence occurs BubbleTech’s proprietary logic minimizes irrelevant data and maximizes interpretability without revealing internal algorithms.
Side Note. this layer is about 88% acute and are working on making it 96% is the goal.
due to Solana Blockchain having many programs and "hops" before the txn arrives at its desired location, its a working progressing to remove all without making mistakes.
Visualization Layer - 3
Built with React and Three.js (React Three Fiber) for immersive, real-time rendering.
Utilizes Fibonacci sphere and BFS-based layouting to achieve stable, readable formations.
Provides hover and click interactivity, deep linking to external explorers (e.g., Solscan), and labeling controls for clustering and annotation.
Supports up to 105 nodes and 114 edges rendered under five seconds at 60 fps, maintaining clarity and depth. << Our goa to achive on Launch.
Development Note.
This product is not an easy one to tackle.
We’ve been building, breaking, and redefining BubbleTech for over four to five months, going through multiple architectural iterations and system redesigns. Each restart taught us how to balance scale, clarity, and speed.
The algorithmic system we’ve now refined gives us a foundation that’s both stable and forward-looking.
one we believe will propel BubbleTech deep into the future of blockchain visualization and analysis.
