In the Web3 ecosystem, the interaction of on-chain data has long been limited to '2D interfaces + static charts'—users can only browse data on screens and click to operate, making it difficult to intuitively perceive the three-dimensional structure of on-chain relationships, and even harder to explore data value in an immersive manner in virtual scenes. Bubblemaps breaks away from the traditional form of 'flat interaction', centering on 'cross-dimensional interaction', combining technologies such as 3D visualization, virtual spaces, and digital assistant guidance to transform on-chain data from 'flat charts' into 'enterable, touchable, and interactive' virtual scenes, allowing users to explore address associations and trace fund flows in a metaverse-like space, enabling project parties to showcase ecological data in a virtual exhibition hall, and allowing communities to reach consensus in immersive scenarios. This 'fusion of the virtual and the real, immersive interaction' model not only revolutionizes the experience of using on-chain data but also elevates Web3 transparency from 'tool application' to 'scenario-based experience'.
1. 3D Visual Interaction: Transforming on-chain relationships 'from flat to three-dimensional'
Traditional 2D bubble charts struggle to showcase the hierarchy and dynamics of on-chain relationships—users cannot intuitively grasp the 'strength of association between core addresses and peripheral addresses' or the 'three-dimensional path of fund transfers across chains', and the complex logic behind the data is often oversimplified. Bubblemaps' '3D On-Chain Relationship Diagram' converts addresses, transactions, and fund flows into dynamic elements in three-dimensional space, making the structure and changes in on-chain relationships clear at a glance.
In the address association scenario, the 3D diagram presents a 'layered structure':
• Core addresses (such as official project addresses and major holding addresses) are located at the center of the space with 'large size highlighted bubbles', while peripheral addresses (such as small and medium user wallets and associated collaboration addresses) are distributed around as 'small size bubbles'. The 'thickness of the connecting lines' between bubbles represents the frequency and amount of transactions (the thicker the line, the tighter the association), and 'color changes' reflect recent interaction states in real time (green for active, gray for dormant);
• Users can explore details through 'zooming, rotating, and filtering' operations—zooming in on the diagram allows viewing specific transaction records of a certain peripheral address, filtering 'recent 7-day active associations' can quickly locate recently added address clusters. A certain security analyst discovered through the 3D diagram that 'a certain scam address cluster' exhibits a structure of 'core address in the center, hundreds of peripheral addresses scattered around', and that peripheral addresses have been frequently transferring funds to the core address recently, thus locking in the funding core of the scam gang and assisting in recovering over $1 million in assets.
In the cross-chain fund transfer scenario, the 3D diagram displays 'three-dimensional transfer paths':
• Different public chains are presented as 'virtual planets in different colors' (e.g., Ethereum in blue, Solana in purple), with funds flowing from A chain to B chain connected by 'dynamic beams'. The 'brightness' of the beam represents the scale of funds, and the 'flow speed' reflects cross-chain efficiency;
• Users can click on the beam to view 'the specific flow of funds: from a certain address on A chain → through the cross-chain bridge → exchanged for B chain tokens → transferred to a certain mining pool on B chain', and simultaneously display 'the transaction cost and arrival time for each step'. A certain cross-chain investor intuitively discovered through the 3D diagram that 'the brightness of the beam in a certain cross-chain path is low and the flow speed is slow', determining that the path is congested, and chose another path to complete the transfer, saving 3 hours of arrival time and 50% in transaction fees.
2. Virtual Space Exploration: Making data experiences 'from browsing to immersion'
When users view on-chain data, it is no longer 'passively browsing charts', but 'actively entering virtual space to explore'—the 'on-chain data metaverse exhibition hall' created by Bubblemaps transforms different scenarios of on-chain data into walkable and interactive virtual scenes, making data exploration as intuitive and fun as 'visiting an exhibition'.
The exhibition hall contains three core areas:
• Token Ecology Pavilion: After entering, users can see the 'price trend of tokens' presented as 'dynamically fluctuating virtual mountains' (the higher the mountain, the higher the price), and 'community holding structure' transformed into 'virtual plots of different areas' (the area of the plot corresponds to the holding ratio). Users can click on the plots to view the 'recent trading behaviors and fund movements' of that holding group; if they want to know the risk situation of a certain token, they can go to the 'risk warning area' where 'red warning lights' mark high-risk indicators (e.g., head control, abnormal transfers), and clicking on the warning light allows them to view detailed risk traceability data;
• NFT Art Museum: Transforming NFT series into 'virtual display cases', each display case showcases the 'on-chain data labels' of the NFT collection (such as holder history, transaction records, rarity ranking). Users can 'pick up' the collection to view details, and can also enter the 'transaction behavior area' to visually see 'the sources of buyers for a certain NFT (users within the ecosystem/external new users), and the distribution of transaction time periods', assessing the true consensus of the collection;
• DeFi Laboratory: Using devices like 'virtual mining pools and lending machines' to simulate the DeFi ecosystem, users can 'operate' the virtual mining pools, viewing 'the yield curves corresponding to different staking amounts', or use the 'lending risk simulator' to input borrowing amounts and see 'changes in collateral ratios and liquidation risk warnings' in real-time. A certain DeFi novice user expressed: 'I never understood the relationship between APY and risk when looking at mining pool yield tables, but now after operating it once in the virtual lab, I suddenly understood.'
Users can also receive feedback on their exploration behavior in the exhibition hall: completing the 'data exploration task for a certain token' earns a 'virtual badge'. Accumulating badges can unlock 'advanced data tools' (such as the custom analysis feature of the 3D diagram) within the exhibition hall, significantly enhancing the enthusiasm for data exploration.
3. Digital Assistant Guidance Service: Transforming data interpretation 'from text to interaction'
Faced with complex on-chain data, users often give up exploration due to 'not understanding textual interpretations'. Bubblemaps' 'on-chain data digital assistant' provides real-time guidance and interactive answers with a humanized image, turning data interpretation from 'cold text' into 'a dialogue with answers to every question'.
The digital assistant has three main capabilities:
• Scenario-based guidance: Providing corresponding guidance based on the virtual area the user enters—when users enter the 'Token Ecology Pavilion', the digital assistant will proactively introduce 'the core data highlights of the current area, such as how to assess price trends through virtual mountains, and how to identify high-risk plots'; when users operate the 3D diagram, the digital assistant will remind them 'clicking the connecting line allows you to view the transaction details of the associated address, and the filter button can hide irrelevant data';
• Real-time Q&A interaction: Users can ask the digital assistant questions via voice or text, such as 'What percentage of old players are there in this NFT series?' or 'Is a certain address a risk address?'. The digital assistant quickly retrieves on-chain data, answers in plain language, and points to the corresponding data location in the virtual scene (e.g., 'The percentage of old players is 62%, and you can see the green label next to this display case which contains the relevant data');
• Personalized learning recommendations: Based on the user's exploration trajectory and questions, recommending suitable 'data learning content'—if a user frequently asks 'how to assess token control', the digital assistant will recommend the 'tutorial for the risk warning area of the virtual exhibition hall' and guide the user to complete the interactive task of 'identifying control risk', helping them gradually improve their data interpretation skills.
A certain Web2 migration user completed the entire process of 'from entering the virtual exhibition hall to independently analyzing the risk of a certain token' in just one hour under the guidance of the digital assistant. He feedback: 'With the digital assistant explaining, it's like having a teacher by my side. It's much faster than reading text tutorials, and I can ask questions at any time, which is very convenient.'
Summary
From '3D visualization makes on-chain relationships three-dimensional', to 'virtual space makes data exploration immersive and fun', and then to 'digital assistants make data interpretation interactive and understandable', the core value of Bubblemaps lies in 'breaking the limitations of flat interaction with on-chain data, creating an immersive experience that fuses the virtual and the real'. It is no longer a 'tool on the screen', but a 'on-chain data metaverse' that users can enter, explore, and interact with—making complex data intuitive, making tedious exploration fun, allowing newcomers to easily integrate into the Web3 data world. With the enrichment of virtual scenes and the upgrading of interaction technologies, Bubblemaps is expected to become the core platform for 'immersive data experiences' in Web3, driving the industry from 'tool-based services' to 'scenario-based experiences', injecting new momentum for the popularization of Web3 through 'fusion of the virtual and the real'.
