Blobscan/blobscan
Dec 2024 – Jun 2025
3 Months active
Languages Used
JavaScriptSQLShellTypeScriptMarkdown
Technical Skills
API DevelopmentBackend DevelopmentCSSDatabase Schema DesignFront End DevelopmentFrontend Development
Francisco Jiménez
PROFILE
Francisco Jiménez
Francisco Jiménez Aguilera contributed to the Blobscan/blobscan repository by building features that improved data organization, runtime configurability, and distributed storage. He developed category-based data filtering and UI enhancements using TypeScript and React, enabling users to segment and explore blockchain data more efficiently. Francisco implemented dynamic environment configuration via API, allowing live updates to environment variables and reducing deployment cycles. He also integrated Chunkstorm SwarmStorage, refactoring backend logic in JavaScript and SQL to support distributed chunk uploads across multiple nodes. His work demonstrated depth in full stack development, aligning backend changes with frontend presentation and enhancing the platform’s scalability and maintainability.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
3
Lines of code
1,618
Activity Months3
Your Network
13 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for Blobscan/blobscan: Delivered Chunkstorm SwarmStorage integration enabling distributed chunk uploads across multiple nodes. Implemented provider-specific storage logic refactor, added environment-variable-based configuration, and updated documentation. This work enhances scalability, resilience, and deployment flexibility, offering an alternative to the traditional Bee node. No major bugs reported this month; ongoing stabilization and minor backlog fixes continue. Demonstrated strong capabilities in distributed storage design, provider integration, and documentation hygiene.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for Blobscan/blobscan: Delivered Chunkstorm SwarmStorage integration enabling distributed chunk uploads across multiple nodes. Implemented provider-specific storage logic refactor, added environment-variable-based configuration, and updated documentation. This work enhances scalability, resilience, and deployment flexibility, offering an alternative to the traditional Bee node. No major bugs reported this month; ongoing stabilization and minor backlog fixes continue. Demonstrated strong capabilities in distributed storage design, provider integration, and documentation hygiene.
June 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Blobscan/blobscan: Delivered dynamic environment configuration via API, enabling live updates of environment variables without redeploys. Updated Sentry configuration and UI components to consume the new mechanism, improving observability and runtime configurability. This work reduces deployment cycles and sets the foundation for runtime config changes across environments.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for Blobscan/blobscan: Delivered dynamic environment configuration via API, enabling live updates of environment variables without redeploys. Updated Sentry configuration and UI components to consume the new mechanism, improving observability and runtime configurability. This work reduces deployment cycles and sets the foundation for runtime config changes across environments.
December 2024
5 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for Blobscan/blobscan focused on enriching data classification, enabling category-based data filtering, and improving UI consistency across devices. Key features delivered include a new Category column for blob and transaction data, UI rollup indicators, and a backend API-supported Category filter that enables filtering by category across blobs, blocks, and transactions. This work establishes a scalable data segmentation layer that accelerates targeted analysis and reporting.
5 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for Blobscan/blobscan focused on enriching data classification, enabling category-based data filtering, and improving UI consistency across devices. Key features delivered include a new Category column for blob and transaction data, UI rollup indicators, and a backend API-supported Category filter that enables filtering by category across blobs, blocks, and transactions. This work establishes a scalable data segmentation layer that accelerates targeted analysis and reporting.
December 2024
Activity
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Quality Metrics
Correctness94.2%
Maintainability90.0%
Architecture88.6%
Performance90.0%
AI Usage25.8%
Skills & Technologies
Programming Languages
JavaScriptMarkdownSQLShellTypeScript
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCSSCloud StorageDatabase Schema DesignDevOpsEnvironment ConfigurationFront End DevelopmentFrontend DevelopmentFull Stack DevelopmentNext.jsReactSQLSentry Integration
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