In the Web3 ecosystem, the high barrier to development of on-chain data tools and the diverse user needs create a sharp contradiction. Ordinary users (such as DAO members, NFT collectors, and DeFi investors) have numerous personalized data needs (e.g., DAO contribution dashboards and personal NFT holdings analysis tools), but lack code skills and are unable to develop them independently. Small teams, eager to quickly build specialized data tools (e.g., a DeFi yield comparison tool on a specific public chain), are discouraged by the long development cycles (1-3 months) and high costs (requiring a professional development team). Even technical developers face the inefficiency of repeatedly writing foundational code for on-chain data capture, cleaning, and visualization. Traditional on-chain data tools are either standardized products (unable to meet personalized needs) or custom-developed (high barrier to entry and high costs), leaving a large number of long-tail data needs unmet. Bubblemaps' core breakthrough lies in building a low-code development platform with "visual component library - zero-code configuration center - one-click deployment tool", allowing non-technical users to create exclusive data tools by "dragging, checking, and configuring", completely breaking down the "technical barriers" and realizing "everyone is a data tool developer".
1. Three core pain points in developing on-chain data tools
Personalized data tools are difficult to popularize. The essence of these tools is that they have high development barriers, low efficiency, and high costs. These three pain points hinder the universalization of on-chain data services:
(1) High technical threshold: Non-technical users “want to do it but don’t know how to do it”
Developing on-chain data tools requires mastering complex technologies such as multi-chain API calls (such as Etherscan and Solscan interfaces), data cleaning algorithms, and front-end visualization frameworks (such as ECharts and D3.js). These tools are completely inaccessible to non-technical users. For example, a DAO member who wants to create a "community contribution statistics tool" needs to obtain data such as "members' on-chain voting, task submissions, and fund donations," but does not know how to call the DAO contract interface to capture data. An NFT collector who wants to create a "personal holding value fluctuation tool" needs to process data such as "NFT floor price, holding quantity, and historical transaction records," but does not know how to write data cleaning code. A survey shows that 89% of non-technical users have "personalized data tool needs" but give up because they "don't understand the technology." 76% of users said they "hope there is a way to create data tools without writing code."
(2) Low development efficiency: The technical team "wanted to slow down"
Even technical developers developing on-chain data tools must repeatedly address basic functionality, leading to inefficiencies. When developing a DeFi tool for a public chain, they first spend one to two weeks writing a multi-chain data scraping script (to adapt to API differences between public chains like Ethereum and Polygon), then another week building a data cleaning module (to handle invalid transactions and duplicate records), before finally developing personalized features like yield comparisons and risk warnings. Adding new data visualization charts (such as line charts and pie charts) requires learning the syntax of the corresponding framework. One development team reported that developing a "medium-complexity personalized data tool" takes an average of two months, with 60% of that time spent on basic functionality development, distracting from core needs.
(3) High maintenance costs: It becomes more difficult to update the tool after it is launched
After launching, personalized data tools require ongoing maintenance (e.g., adding support for new public chains, updating data interfaces, and fixing visualization bugs). However, these costs are unaffordable for both non-technical users and small teams. For example, a user-created "NFT holdings tool" failed to capture data due to an NFT platform API upgrade, but they didn't know how to modify the code, rendering the tool useless. A "DeFi yield tool" developed by a small team required an additional week of adaptation to the new chain's data due to the addition of a new public chain (such as Base), resulting in maintenance costs comparable to developing the tool from scratch. Statistics show that 60% of personalized data tools are discontinued within three months of launch due to "maintenance issues," wasting significant initial investment.
2. The core implementation of the low-code development platform: making "zero-code development" a reality
Bubblemaps' low-code development platform is not a "simplified development tool". Instead, it "encapsulates technical complexity, provides visual configuration, and automates maintenance" to allow non-technical users to "go from requirements to tools" in one step, while greatly improving the development efficiency of technical teams.
(1) First layer: Full-scenario visual component library - encapsulation technology, leaving only "demand selection"
To address the pain point of "high technical threshold", the platform encapsulates technical links such as "on-chain data capture, cleaning, and visualization" into "visualization components". Users only need to "select components and configure parameters" according to their needs without having to touch any code.
1. Component classification: covering the entire process of "data acquisition - processing - display - interaction"
The platform provides four categories of components that users can freely combine to meet more than 90% of personalized data needs:
• Data acquisition component: encapsulates multi-chain data interfaces and supports “one-click selection of data sources” - such as “address data component” (select “Ethereum/Polygon/Solana” public chain, enter “target address”, and you can obtain the address’s “asset holdings, transaction records, ecological contributions” and other data), “project data component” (select “DeFi/NFT/DAO” type, enter “project contract address”, and you can obtain “TVL, floor price, proposal records” and other data), “market data component” (select “token/NFT” category, set “time range (nearly 7 days/30 days)”, and you can obtain “price trends, trading volume, turnover rate” and other data).
• Data processing component: encapsulates data cleaning and calculation logic, and supports “visual configuration rules” - such as “filtering component” (setting “filtering conditions: only retain transaction records with ‘amount > 1ETH’” and “only retain NFT holdings in the past 30 days”), “calculation component” (setting “calculation rules: total asset value = number of tokens × sum of current prices” and “DAO contribution points = number of votes × 2 + number of tasks completed × 5”), and “association component” (setting “association rules: associate ‘address transaction records’ with ‘known fraud address library’ to mark risky transactions”).
• Data display component: encapsulates mainstream visual charts and supports “one-click switching of styles” - such as “trend chart component” (select “line chart/bar chart” to display “token price trends, NFT trading volume changes”), “statistical chart component” (select “pie chart/ring chart” to display “asset share, DAO voting results distribution”), “list component” (select “table/card style” to display “transaction records, NFT holding details”), “dashboard component” (customize “core indicators: total asset value, rate of return, contribution points”, and display them in the form of digital cards).
• Interactive function components: encapsulate tool operation logic and support “zero-code configuration interaction” - such as “filter control component” (add “time filter, public chain filter”, users can manually switch viewing dimensions), “early warning component” (set “early warning rules: pop-up reminder when asset value drops by more than 10%”, “push notification when DAO has new proposals”), “export component” (set “export format: Excel/CSV/picture”, support users to export tool data).
All components provide a "preview function" so that users can view the effects in real time after configuration without having to wait for development to be completed.
2. Component features: low threshold, high flexibility
• Zero-code configuration: Component parameters are completed by “drop-down selection, input box filling, and check”. For example, when selecting the public chain in the “data acquisition component”, just click the “Ethereum” option without writing API call code;
• Multi-chain adaptation: Data acquisition components have covered 15 mainstream public chains including Ethereum, Polygon, Solana, and Base, and users do not need to configure additional cross-chain logic;
• Real-time update: The component has a built-in “automatic data update mechanism” (updated every 5 minutes by default, and the update frequency can be configured), so users do not need to manually synchronize data.
(2) Second layer: Visual configuration center - drag and drop combination, "what you see is what you get"
To address the pain point of "low development efficiency", the platform provides a "drag-and-drop configuration center" where users can combine components like "building blocks", preview tool effects in real time, and significantly shorten the development cycle.
1. Development Process: 3 Steps to Create a Custom Tool
• Step 1: Determine the tool type and template. Select a preset type such as "Dashboard Tool (e.g., Personal Asset Dashboard)", "Query Tool (e.g., Address Risk Query Tool)", "Statistics Tool (e.g., DAO Contribution Statistics Tool)", or use the "Blank Template" directly;
• Step 2: Drag and drop components and configure them. Drag the required components (e.g., "Address Data Component + Calculation Component + Dashboard Component") from the component library on the left to the canvas on the right, and double-click the components to configure their parameters (e.g., "Enter your own wallet address for the Address Data Component" or "Set the Calculation Component to 'Total Asset Value = Sum of All Token Values'");
• Step 3: Preview and publish. Click “Preview” to view the actual effect of the tool (such as “dashboard showing total asset value and proportion of each token”). After adjusting the position and style of the components, click “Publish” to generate a unique link for the tool (such as “https://bubblemaps.io/tool/your-custom-123”), which can be accessed directly or shared with others.
Through this process, non-technical users can complete a "simple personalized tool" (such as a personal NFT holdings list) in an average of 30 minutes, and a "medium complexity tool" (such as a DAO contribution statistics dashboard) in 2 hours.
2. Advanced functions: meeting complex needs
• Component linkage configuration: supports setting “inter-component linkage rules”, such as “selecting ‘a certain transaction record’ in the list component, and the trend chart component automatically displays the price trend of the token corresponding to the transaction”;
• Style customization: Provides "theme templates (light/dark)", "color configuration (chart color, text color)", and "layout adjustment (component size, position)", allowing users to create tools that suit their personal style;
• Permission settings: Support setting “tool access permissions” (such as “visible only to myself”, “visible to specified address”, “public access”) to protect privacy data.
The technical team used advanced functions to shorten the time it took to develop a "public chain DeFi yield comparison tool" from "2 months" to "3 days", increasing efficiency by 20 times.
(III) The third layer: automated maintenance and iteration – “no worries” after the tool is launched
To address the pain point of “high maintenance costs”, the platform provides “automated maintenance functions” to automatically handle “data interface updates, public chain adaptation, and bug fixes”, eliminating the need for users to manually maintain tools.
1. Automated data maintenance
• Automatic interface adaptation: If a public chain API is upgraded (such as a change in Etherscan interface parameters), the platform will complete component adaptation within 24 hours, and the data acquisition function of the user tool will not be affected, without the need to modify the configuration;
• Data quality assurance: Built-in "data anomaly detection mechanism". If the captured data is missing or erroneous (such as abnormal NFT floor price data), the system will automatically switch to the backup data source (such as switching from the OpenSea interface to the LooksRare interface) and push a "data source switching notification" to the user;
• New public chain support: After the platform adds a new public chain (such as a Layer2 network), the "Data Acquisition Component" of the user tool will automatically synchronize the public chain option. Users only need to check "New Public Chain" in the component to obtain the corresponding data without the need for redevelopment.
A user created a "multi-chain asset dashboard" in early 2024. Because the platform automatically adapted to new public chains such as Base and Optimism, the asset data of these public chains could be viewed without any operation, and the tool continues to be available to this day.
2. Tool iteration support
• One-click component update: After the platform upgrades component functions (such as "new radar chart style added to the data display component"), users can click "Update Components" in the "Tool Management Center" to synchronize new functions with one click without having to reassemble components;
• Rapid template reuse: Users can save developed tools as “templates”. When subsequently developing similar tools, they can modify parameters based on the template (e.g., modify the “Ethereum Asset Dashboard” template to “Polygon Asset Dashboard”), improving iteration efficiency by 80%;
• Automatic problem repair: If the tool cannot be used due to "component conflict" or "parameter error", the system will automatically detect the problem and push "repair suggestions" (such as "'Filter component' condition setting conflict, it is recommended to change to 'Amount>0.1ETH'"). Users can click "One-click repair" to resume the use of the tool.
A small team developed an "NFT floor price monitoring tool" based on the platform. Through "one-click component update", it added a "multi-platform price comparison" function and quickly developed a "token price monitoring tool" through "template reuse", reducing maintenance costs by 90%.
3. The Ecological Value of Low-Code Platforms: From “Development by a Few” to “Creation by Everyone”
Bubblemaps' low-code development platform not only solves the pain point of "difficulty in developing personalized tools", but also promotes the "universalization" of on-chain data services from the three dimensions of "user empowerment, ecological enrichment, and industry innovation", turning data tools from "professional products" into "mass creations."
For non-technical users, low-code platforms offer data tool autonomy—they can create tools tailored to their needs without relying on a technical team, empowering them to control their own data. DAO members can create community contribution dashboards to track member participation in real time; NFT collectors can create personal holdings analysis tools to accurately track asset value fluctuations; and DeFi investors can create custom yield comparison tools to quickly identify optimal investment targets. A survey shows that among non-technical users using low-code platforms, the rate of personalized data satisfaction has increased from 15% to 90%, and data decision-making efficiency has increased by 65%.
For technical teams and small developers, low-code platforms offer efficiency and cost optimization. By eliminating the need to redevelop basic functions, developers can focus on core, personalized needs, shortening development cycles by 80% and reducing costs by 70%. Furthermore, the platform supports component redevelopment (technical teams can customize and add logic based on the platform's encapsulated basic components), balancing efficiency and flexibility. One development team used the platform to develop 15 vertical data tools in just six months, covering niche areas such as Layer 2 DeFi and AI NFTs. The platform has attracted over 100,000 users, far exceeding the output of traditional development models.
For the Web3 ecosystem, low-code platforms signal a flourishing data tool ecosystem. These platforms address a wide range of long-tail needs, spawning diverse products like DAO-specific tools, niche public chain tools, and vertical sector tools, filling gaps in traditional tools. Users become both "tool users" and "creators," fostering a "create-share-iterate" ecosystem and driving on-chain data services from standardization to diversification. Data from the platform in 2024 shows that user-generated tools cover over 20 specific scenarios, including DAO governance, NFT trading, and cross-chain arbitrage. Over 50,000 tools have been created, serving over one million users, making it an "innovation incubator" for Web3 data tools.
For the Web3 industry, low-code platforms mean "accelerated data accessibility" - they break down "technical barriers," allowing more users to participate in "data tool creation," and pushing on-chain data from "monopolized by a few platforms" to "available to all." This "everyone can develop" model has also cultivated a large number of "data application creators" for the industry, laying the foundation for the development of the Web3 data economy.
Conclusion
The future of Web3 data services is bound to be one of inclusiveness and personalization. When every user can easily create their own data tools, and when every niche need can be quickly met, on-chain data can truly unleash its universal value. Bubblemaps' positioning as a "low-code development platform" captures this core trend. Through encapsulation technology, visual configuration, and automated maintenance, it makes the vision of "zero-code development of on-chain data tools" a reality.
When DAO members can independently create contribution statistics tools, when NFT collectors can easily track fluctuations in their holdings, and when technical teams can rapidly iterate on vertical tools, Web3 can truly break free from the limitations of a "data tool monopoly" and enter a new era of "universal creativity and diversified prosperity." This isn't just a hypothetical innovation, but a practical implementation based on low-code technology and the unique characteristics of Web3 data. It also represents the inevitable direction for the Web3 industry to shift from a "technology-driven" to a "user demand-driven" approach.
