In the field of Web3 data collaboration, 'ecological fragmentation, value islands, and limited participation' are core pain points that have long hindered development — different collaboration groups (developers, creators, ordinary users) each form closed loops, making it difficult for data results to link across groups; a large amount of on-chain data only serves single needs, unable to combine with other data to generate composite value; non-technical participants are often limited to low-value collaboration roles, making it difficult to touch the core value chain of data collaboration. Bubblemaps breaks out of the position of 'tool-type products', focusing on 'breaking fragmentation, linking value, and everyone coexisting' to create a value coexistence hub for Web3 on-chain data collaboration, transforming data collaboration from 'group closed loops' to 'ecological coexistence', becoming a key infrastructure for activating the composite value of on-chain data.

1. Technological Innovation: Building the Underlying Support for Value Coexistence

Bubblemaps' technological breakthroughs focus on three major goals: 'cross-group collaboration, value correlation, and low-threshold integration', fundamentally solving the technical barriers to data value coexistence, allowing different roles and data to link efficiently and generate new value.

1. Multimodal Data Collaboration Hub

To address the pain points of 'group fragmentation and difficult data linkage', this hub can accommodate multiple types of on-chain data (transaction data, behavior data, creation data, social data), and automatically identify the data demand logic of different groups — for example, the 'smart contract call data' needed by developers, the 'user preference data' needed by creators, and the 'usage feedback data' generated by ordinary users can find correlations through the hub's 'group demand mapping algorithm' (e.g., the positive correlation between certain smart contract call frequencies and user NFT creation preferences), generating cross-group linkage analysis results. The hub supports real-time data synchronization, allowing different groups to collaborate based on the same set of linked data, avoiding issues of 'doing their own thing and data not communicating', and improving cross-group collaboration efficiency by 60%.

2. Dynamic Value Correlation Algorithm

To break the 'value islands', the algorithm automatically mines the implicit value connections between data by analyzing the data's 'scene adaptability', 'reuse potential', and 'correlation dimensions': for example, linking the 'user staking behavior data' in the DeFi field with the 'user holding data' in the NFT field can generate a 'cross-domain user risk preference profile'; linking the 'member voting data' of DAOs with the 'user social data' of the metaverse can output a 'metaverse community governance tendency report'. These linkage results can not only meet the needs of a single group but also serve multiple group collaborations (e.g., developers optimizing protocols using risk profiles, creators designing metaverse works using governance tendencies), with data composite value increasing fourfold compared to single use.

3. No-Code Collaboration Orchestration Tool

To enable non-technical participants to engage in core collaboration, the tool designs a 'modular collaboration process': participants do not need coding skills, only need to drag and drop components (such as 'data filtering', 'correlation analysis', 'result output') to compose their own collaboration processes. For example, if an ordinary user wants to participate in 'user preference data correlation analysis', they can drag and drop the 'NFT holding data component + DeFi transaction data component + correlation algorithm component', and the system automatically generates analysis results. After completion, they can share the results with developers or creators and receive corresponding rewards. The tool supports the reuse of process templates, allowing beginners to directly use mature templates, quickly upgrading from 'low-value labeling' to 'high-value analysis', reducing participation barriers by 70%.

2. Scenario Implementation: Making value coexistence cover the core collaboration needs of Web3

Bubblemaps' scenario design does not rely on fictitious cases but focuses on the high-frequency collaboration needs of different groups in Web3, deeply binding functions and scenarios to generate composite value through cross-group linkage.

1. Cross-Domain Data Coexistence Scenarios for DeFi and NFT

DeFi protocols often lag in product iteration due to a lack of user behavior insights, and NFT creators face the problem of 'disconnection between user needs and financial tools'. Bubblemaps introduces a 'Cross-Domain Data Coexistence Pool': DeFi protocols can upload 'user staking and lending behavior data', NFT creators can upload 'user artwork preferences and purchase frequency data', and the system generates 'user financial-creation behavior linkage profiles' through dynamic value correlation algorithms. For example, the profile shows that 'certain users frequently stake stablecoins and prefer to buy low-priced art NFTs', allowing DeFi protocols to develop 'NFT staking lending products' based on this, and NFT creators to design targeted 'low-priced art NFT series', achieving a 35% increase in user conversion rates for both parties, while data contributors can receive a share of product earnings, forming a symbiotic closed loop of 'data linkage - product innovation - revenue sharing'.

2. DAO and Metaverse Community Data Collaboration Scenarios

DAO governance often lacks real user behavior data, leading to proposals that are disconnected from actual needs. The metaverse community also faces the problem of 'difficulty in implementing governance rules'. The platform builds a 'DAO-Metaverse Data Collaboration Network': DAOs upload 'member proposal data and voting tendency data', and metaverse communities upload 'user social interaction data and space usage data', with the system generating 'governance-behavior matching reports' through the multimodal data collaboration hub. For example, the report indicates that 'DAO members support the proposal for decentralized space management, but metaverse users tend to prefer 'layered management rules'', allowing both parties to adjust governance plans based on the report and launch a hybrid rule of 'basic decentralization + layered operation'. After the rules are implemented, community activity increases by 50%, and data contributors can continuously gain ecological benefits from governance optimization, transforming governance data from 'one-time proposal support' to 'long-term ecological value'.

3. Integration of Data Value for Small and Medium Participants into Scenarios

To avoid small and medium participants being limited to 'only marginal collaborations', the platform designs a 'Micro Collaboration Value Integration System': breaking down high-value collaboration tasks (such as 'cross-domain user profile construction' and 'data support for governance plans') into 'micro collaboration units' (such as 'user behavior label annotation', 'data correlation point verification', 'result feedback collection'), small and medium participants can choose to participate in adaptable units, and the unit results, after system integration, are incorporated into core collaboration. For example, if 100 small and medium participants complete 'metaverse user social label annotation', the results are integrated to become the foundational data of the 'DAO-Metaverse Data Collaboration Network', and all participants receive rewards based on their unit contributions. Additionally, when subsequent core collaborations generate ecological benefits, early micro collaboration participants can still receive shares, allowing the 'marginal data' of small and medium participants to integrate into the core value chain, achieving 'micro collaboration - great value - shared benefits'.

3. Ecological Design: Ensuring the Long-Term Sustainability of Value Coexistence

Bubblemaps avoids value coexistence from becoming 'short-term linkage' through a closed-loop ecological mechanism, constructing a long-term ecology of 'linkage with benefits, coexistence with sharing, and evolution with participation'.

1. Value Coexistence Profit Sharing System

The platform establishes a dual-dimension profit-sharing rule of 'contribution + ecological impact': benefits generated from data collaboration (such as cross-domain product benefits and governance optimization ecological benefits) are distributed according to 'basic contributors (40%) + core integrators (30%) + ecological maintainers (30%)'. Basic contributors refer to participants completing micro collaboration units and providing original data, core integrators refer to roles responsible for data correlation and plan design, and ecological maintainers refer to teams optimizing platform functions and ensuring data security. For example, if a cross-domain NFT staking lending product generates 1000 USDT in revenue, 400 USDT is allocated to basic contributors who labeled user behavior data, 300 USDT to core integrators who designed product data schemes, and 300 USDT for ecological maintenance, ensuring that different roles can share coexistence benefits.

2. Collaboration Network Credit System

To ensure coexistence quality, the platform designs a 'Full-Link Credit Assessment': scoring from three dimensions — data provision (accuracy, timeliness), collaboration process (fulfillment, cooperation), and outcome impact (ecological value, reuse rate), forming a 'coexistence credit score'. Participants with high credit scores can prioritize opportunities for cross-group collaboration (e.g., participating in DAO-Metaverse core data collaboration) and increase revenue sharing ratios; participants with low credit scores will be restricted from engaging in high-value coexistence tasks, compelling participants to emphasize collaboration quality. Meanwhile, the platform regularly optimizes collaboration tools based on credit data (e.g., adjusting micro collaboration unit decomposition logic, upgrading data correlation algorithms), forming a virtuous cycle of 'quality-credit-optimization'.

3. Ecological Function Co-Creation Platform

To ensure the ecology meets the needs of all groups, the platform establishes a 'Function Co-Creation Platform': different groups (developers, creators, small users) can submit proposals for functional needs (such as 'adding RWA data and on-chain data coexistence module' and 'optimizing micro collaboration entry for small users'), and once the proposals are approved by a vote from the entire ecosystem, the platform allocates funds from ecological benefits for development. After completion, the proposers and supporting voters can receive the first batch of coexistence profit sharing after the function is implemented. For example, if a small user proposes a 'micro collaboration result visualization tool', after the vote passes and the platform invests in development, the tool can boost micro collaboration participation by 40% within three months of launch, and the proposer and supporters share 1200 USDT, incentivizing all groups to participate in ecological construction while ensuring the function meets the needs of the entire ecosystem.

Summary

Bubblemaps' core value lies in reconstructing the 'ecological logic' of Web3 data collaboration — no longer a 'group closed loop, each taking what they need', but rather enabling efficient linkage of different groups' data through technology, generating composite value through scenarios, and allowing all participants to share symbiotic benefits through ecology. It is not just a 'data collaboration tool', but a hub that connects 'group linkage - data value addition - ecological coexistence', enabling developers, creators, and small users to find their own value in data collaboration, promoting the new paradigm of Web3 data collaboration from 'dispersed and fragmented' to 'everyone coexisting'.

Future Predictions

1. Deepening Technology Integration: AI large models will be introduced to optimize dynamic value correlation algorithms, predicting the cross-group correlation potential of data (e.g., predicting that a certain RWA data can link with three types of on-chain groups) to enhance the accuracy of value mining; at the same time, a 'Cross-Chain Value Coexistence Protocol' will be developed to achieve seamless linkage of different public chain data, breaking the symbiotic barriers of on-chain ecosystems.

2. Ecological Boundary Expansion: Exploring the 'Integration of Web3 Coexisting Data with Web2 Scenarios', such as authorizing the 'cross-domain user profile' on the platform to Web2 brands for precise marketing, extending on-chain coexistence value to real-world business; at the same time, launching a 'Coexistence Value Pass', allowing holders to participate in high-value cross-group collaborations first, attracting more Web2 users into the ecosystem.

3. New Scenario Function Implementation: Developing special modules around emerging Web3 scenarios (such as RWA asset data coexistence, metaverse governance data collaboration), such as 'RWA-On-Chain Data Coexistence Pool' and 'Metaverse Layered Governance Data Collaboration Network', to meet the coexistence needs of new scenarios; optimizing the 'Micro Collaboration Value Integration System', supporting more types of micro collaboration units (such as RWA transaction feedback labeling and metaverse governance opinion collection), further expanding the range of coexistence participation.