goldenmatch
Eliminates manual deduplication and record matching work that typically consumes hours per data cleanup cycle.
๐ก Zero-config entity resolution for Python & TypeScript. Dedupe, match, and build golden records โ self-verifying auto-config, MCP/REST/A2A servers, edge-safe core, 97% F1 out of the box.
- Merge duplicate customer records before loading into CDP
- Deduplicate vendor master data across procurement systems
- Resolve patient records across hospital EHR systems
Eliminates manual deduplication and record matching work that typically consumes hours per data cleanup cycle. Reduces downstream data quality issues that corrupt reporting and customer analytics.
Data engineering and analytics teams managing CRM, customer database, or transactional records with duplicates and inconsistent entity references across systems.
https://github.com/benzsevern/goldenmatch
By benzsevern
How to Get It
claude plugins install benzsevern/goldenmatch
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Trust Signals Auto-scanned
Community Pulse Emerging
Discussed on Hacker News, Reddit
- Show HN: GoldenMatch โ Entity resolution with LLM scoring, 97% F1, no Spark โ Hacker News ยท 3 pts
- Show HN: GoldenMatch โ 100M-row dedupe on Ray in 213s, no Spark, Arrow-native โ Hacker News ยท 3 pts
- GoldenMatch โ Find duplicate records in 30 seconds. Zero-config entity resolutio โ Reddit ยท 1 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 44 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
How to evaluate tools before deploying โ
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 44 GitHub stars; contributors unknown; last commit 0d ago; license MIT.