
Qubic Whale Guardian is an advanced real-time blockchain monitoring system designed to track and analyze high-value QUBIC token movements across the network. Whale transactions often signal major market shifts—either accumulation or distribution—so timely visibility into these transfers is essential for traders, investors, and researchers. Our platform acts as a dedicated early-warning system for unusual activity, providing transparency and market intelligence in a clean, fast, and automated interface. The system continuously listens for transfers above a user-defined threshold and records each event with full contextual information, including sender, receiver, transaction amount, and timestamp. Using an automated webhook integration, the dashboard updates the moment a whale event is detected, ensuring zero-delay alerts. This allows users to react instantly and make informed decisions. To make the data more meaningful, the dashboard includes beautifully designed visual analytics such as live charts, activity timelines, whale rankings, transfer heatmaps, and historical summaries. Users can quickly spot patterns, identify repeat whale addresses, detect clusters of unusual activity, and track liquidity flows across the Qubic ecosystem. The project is built using modern technologies including Next.js, TypeScript, Tailwind CSS, shadcn/ui, and Framer Motion for premium animations. The interface uses a futuristic Web3 aesthetic with gradients, glassmorphism cards, subtle glows, and smooth transitions to deliver a compelling user experience. Every update, alert, and new event is highlighted with motion effects to enhance real-time awareness.
7 Dec 2025

AI Blue is a sophisticated chatbot powered by a multi-headed AI approach, designed by AI Tensibility of the Siam Intelligence Unit. This innovative structure allows different AI models to analyze input data concurrently, with each model focusing on its area of expertise. The outputs from these models are then routed through a central "router" model, which intelligently integrates these insights based on predefined weights and contextual understanding. This dynamic system ensures that AI Blue's responses are not only comprehensive but also reflect a deeper level of analysis and insight. Enhanced by Retrieval-Augmented Generation (RAG), AI Blue can access and incorporate the most current information into discussions, ensuring its knowledge base is always up-to-date. It's not just about processing data; it's about understanding, learning, and adapting to provide the most accurate and relevant information possible.
25 Mar 2024