blinklabs-io/dingo
Aug 2025 – Nov 2025
3 Months active
Languages Used
GoSQL
Technical Skills
Backend DevelopmentDatabase ManagementGoGORMLedger TechnologySQL
jkawan
PROFILE
Jkawan
Over a three-month period, Kawan Jenita enhanced the blinklabs-io/dingo repository by building features focused on transaction traceability and analytics. Kawan extended database schemas and processing logic using Go, SQL, and GORM to enable persistent tracking of UTXO values, asset-level data, and transaction metadata. By aligning SQLite and main database models, Kawan ensured accurate balance reporting and cross-database consistency. The work included adding asset identifiers and metadata fields, supporting granular auditing and business-context analytics. These contributions provided a robust foundation for improved data provenance and queryability, demonstrating depth in backend development, database management, and ledger technology integration without introducing bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
497
Activity Months3
Your Network
7 people
Work History
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered the Transaction Metadata Tracking feature for blinklabs-io/dingo, enabling persistent per-transaction business-context metadata by extending the Transaction struct with a Metadata field and updating the SQLite metadata plugin's SetTransaction flow to store and retrieve per-transaction data. This unlocks improved auditing, analytics, and traceability across transactions.
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered the Transaction Metadata Tracking feature for blinklabs-io/dingo, enabling persistent per-transaction business-context metadata by extending the Transaction struct with a Metadata field and updating the SQLite metadata plugin's SetTransaction flow to store and retrieve per-transaction data. This unlocks improved auditing, analytics, and traceability across transactions.
November 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Key feature delivered: Ledger Asset and Transaction Tracking Enhancement for blinklabs-io/dingo. This adds asset-level data for unspent outputs (policy ID, name, fingerprint, amount) and initial transaction tracking to link produced UTxOs to their originating transactions, enabling improved traceability and business analytics. Major bugs fixed: None reported for this period. Overall impact: strengthens data provenance, supports granular analytics, auditability, and lays the groundwork for asset movement insights. Technologies/skills demonstrated: database and ledger integration, UTXO data modelling, conventional commits, and analytics-ready data schemas.
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Key feature delivered: Ledger Asset and Transaction Tracking Enhancement for blinklabs-io/dingo. This adds asset-level data for unspent outputs (policy ID, name, fingerprint, amount) and initial transaction tracking to link produced UTxOs to their originating transactions, enabling improved traceability and business analytics. Major bugs fixed: None reported for this period. Overall impact: strengthens data provenance, supports granular analytics, auditability, and lays the groundwork for asset movement insights. Technologies/skills demonstrated: database and ledger integration, UTXO data modelling, conventional commits, and analytics-ready data schemas.
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly work summary for blinklabs-io/dingo - August 2025. Focused on enhancing UTXO value tracking and cross-database consistency to improve balance accuracy and analytics. Delivered a schema extension and processing logic update to persist UTXO amounts across SQLite and main database models. This lays groundwork for more precise reporting, auditing, and value-based querying.
1 Commits • 1 Features
Aug 1, 2025Monthly work summary for blinklabs-io/dingo - August 2025. Focused on enhancing UTXO value tracking and cross-database consistency to improve balance accuracy and analytics. Delivered a schema extension and processing logic update to persist UTXO amounts across SQLite and main database models. This lays groundwork for more precise reporting, auditing, and value-based querying.
August 2025
Activity
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Quality Metrics
Correctness92.6%
Maintainability90.0%
Architecture92.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GoSQL
Technical Skills
Backend DevelopmentDatabase ManagementGORMGoLedger TechnologySQL
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