In the Web3 ecosystem, 'generational gaps' are a key issue that is easily overlooked—seasoned users are familiar with on-chain terminology and complex operations, seeking in-depth data dimensions; while new entrants (especially those migrating from Web2) prefer intuitive and contextual interactions, feeling daunted by professional data. Due to differences in cognition and experience, effective interaction is hard to establish, restricting the popularization of the Web3 ecosystem. Bubblemaps transcends the limitations of 'single generational service', focusing on 'cross-generational communication' through 'cognitive translation, experience compatibility, and value interchange', enabling new and experienced users to achieve efficient collaboration based on the same data system: new users can quickly get started with a 'Web2-like' experience while experienced users continue to delve into value through 'professional' functions, with insights and demands transforming and empowering each other. This model of 'bridging gaps and bi-directional compatibility' not only allows on-chain data services to cover a broader user group but also upgrades Web3 transparency from 'niche tools' to 'cross-generational shared ecological bridges.'
1. Cognitive translation: enabling bi-directional communication between 'professional terminology' and 'Web2 language'
The core cognitive barrier between new and experienced users lies in the 'language system differences' of on-chain data—experienced users are accustomed to professional terms like 'position concentration, associated address clusters', while new users more easily understand Web2 analogies like 'asset diversification, on-chain friend circles'. Bubblemaps' 'cognitive translation system' enables real-time conversion between the two languages, allowing different generational users to reach a consensus based on the same data.
The system equips each professional indicator with 'dual-language labels': in the data interface, when hovering or clicking on an indicator, both 'professional expression' and 'Web2 analogy' will be displayed simultaneously—such as 'the top 10% of addresses hold 35%' (professional) corresponding to '10% of users hold 35% of the assets, distributed like popular products, allowing most people to share' (Web2); 'there is a historical transfer relationship between a certain address and the project address' (professional) corresponding to 'this account has interacted with the official account, possibly being a core user of official cooperation' (Web2).
In community communication scenarios, the translation function is more valuable: when an experienced user posts an analysis on the platform stating 'a certain token's associated address cluster has changed, beware of control risks', the system will automatically generate a 'Web2 version' for synchronous display—'This token has several 'associated account groups' that have been active recently, which may pose a risk of price manipulation by a few individuals; caution is advised when investing.' New users can quickly understand the professional judgment of experienced users; conversely, when new users ask 'how to determine if this NFT is an 'official internal reserve'', the system will transform the question into a professional statement—'How to identify the relationship between the NFT project's address and the whitelist address through on-chain data', making it easier for experienced users to provide precise answers. A certain Web2 migrating user mentioned: 'I used to completely not understand when experienced users discussed 'associated addresses'. Now with translation, I can finally keep up and share my views.'
2. Experience compatibility: enabling 'professional depth' and 'simplicity and intuitiveness' to coexist
New users need a 'low-threshold, intuitive' experience, while experienced users pursue 'high freedom, in-depth' functionality; the two seem contradictory. Bubblemaps meets both needs simultaneously through a 'layered experience architecture', ensuring 'novices are not confused, and veterans do not compromise.'
The structure is divided into 'foundational layer' and 'professional layer', allowing users to switch freely according to their needs:
• Foundational layer (Web2-like experience): The interface design references Web2 tools (such as e-commerce apps, social software), displaying core conclusions in a 'card layout'—when checking tokens, it shows 'safety score ★★★★☆, suitable for beginners, recent recommended action: small amount allocation'; when checking NFTs, it presents 'collection popularity ranking, proportion of holdings by veteran players, buying suggestions', simplifying the operation process to 'search → view conclusions → decide based on prompts', eliminating the need to learn complex features. A new user completed an assessment of a certain NFT's collection value in just 2 minutes during their first use, stating, 'It's as simple as shopping on an app, no need to study those incomprehensible graphs.'
• Professional layer (Web3 in-depth features): On the basis of the foundational layer, functions like 'multi-chain data comparison, custom analysis templates, historical data backtracking' will be opened, retaining professional indicators and charts (such as complete bubble charts and fund flow heat maps) in the interface, and supporting 'data export and API integration'. Experienced users can build in-depth analytical models of 'cross-chain fund flows + associated address behaviors' in the professional layer. An on-chain researcher successfully discovered clues about a project 'early institutional addresses splitting funds across chains to evade regulatory tracking' through professional layer features, and their analysis report was cited by multiple institutions.
More critically, 'smooth experience transition': after new users have used the foundational layer for a period, the platform will gradually push 'professional function introductory guidance' (such as 'want to understand the calculation logic of 'position concentration'? Click to view a brief introduction') based on their operation trajectory (such as 'frequently checking certain professional indicators, attempting to click advanced features'), helping new users naturally transition to the professional layer and avoid being discouraged by suddenly facing complex functions. A certain user transitioned from the foundational layer to the professional layer in just one month, stating, 'At first, I only looked at scores, but then I became curious about how scores were derived, followed the guidance to learn, and now I can analyze data myself.'
3. Value interchange: enabling 'new user needs' and 'experienced user knowledge' to empower each other
The 'Web2 perspective' of new users and the 'Web3 professional experience' of experienced users are both valuable resources for the ecosystem. Bubblemaps enables the advantages of both to transform into each other through a 'value interchange mechanism', forming an ecological cycle of 'new-old cooperation and mutual benefit'.
The core mechanism is 'demand-experience matching':
• New user needs → monetizing experienced user knowledge: Problems encountered by new users during usage (such as 'how to determine if a certain token is not a 'scam token' and 'how to avoid pitfalls in NFT whitelists') will be integrated into 'demand tasks'. Experienced users can accept these tasks to provide 'customized analysis' and earn BMT rewards. An experienced user who answers new users' questions on 'DeFi mining risk identification' reliably earns over 3000 BMT every month, stating, 'I can help newcomers while monetizing my experience, which is very fulfilling.'
• Experienced user knowledge → accelerating new user growth: Professional analyses published by experienced users (such as 'in-depth reports on fund flows of certain tokens' and 'tips for identifying NFT wash trading') will be transformed into 'new user-friendly content' (such as illustrated tutorials and short video explanations). After learning, new users can score the usefulness of the content, and those experienced users who receive high scores will get additional rewards. After an experienced user's 'NFT wash trading identification tips' were converted into a tutorial, it helped over 5000 new users avoid pitfalls, and the rewards they received can unlock more professional features, further enhancing analytical efficiency.
This value interchange not only fosters collaboration between new and experienced users but also benefits the ecosystem: new users' needs drive experienced users to produce more practical knowledge content, and experienced users' knowledge helps new users grow quickly, gradually expanding the user base of Web3. Data from a certain platform shows that new users participating in the value interchange mechanism have a 3-month retention rate of 65%, far exceeding the industry average (30%); the activity frequency of experienced users has also increased by 40%, significantly boosting ecological contributions.
Summary
From 'cognitive translation breaking language barriers' to 'layered experience accommodating different needs' and 'value interchange achieving new-old collaboration', the core value of Bubblemaps lies in 'bridging the generational gap between new and experienced Web3 users, constructing a cross-generational shared on-chain data ecosystem'. It is no longer a 'tool that only serves a certain type of user', but a 'communication bridge' connecting new and experienced users—enabling new users to easily integrate into Web3, allowing experienced users' knowledge to gain more value, and facilitating both to jointly promote ecological development through collaboration. With the improvement of cross-generational mechanisms and the deepening of experience compatibility, Bubblemaps is expected to become the core platform for 'cross-generational popularization' in Web3, driving the industry from 'niche circles' to 'mass participation', injecting new momentum of 'generational collaboration' into the scaled development of Web3.@Bubblemaps.io
