My Splink benchmark was wrong four times, every time in my favor
I ran the GoldenMatch vs Splink scale benchmark five times. Four runs were invalid, and every one failed in the direction that flattered my own tool.
About
Software engineer building open-source matching tools — and the SaaS funnel that wraps them.
I created the Golden Suite — five Python libraries for checking, transforming, matching, and orchestrating data. Each works standalone, or together as the engine inside bensevern.dev: the matching funnel between your SaaS sources and your warehouse. We collect, match, surface ambiguous clusters for review, and push the resulting golden records out. The customer keeps their data; we're the filter, never the source of truth.
GoldenMatch also ships native Rust kernels (goldenmatch-native), a TypeScript build (goldenmatch-js), and a Postgres extension (goldenmatch-pg).
Open Source Data Tools
Building tools that check, transform, match, and map data. All open source. All production-grade.
I ran the GoldenMatch vs Splink scale benchmark five times. Four runs were invalid, and every one failed in the direction that flattered my own tool.
A technical look at how the /cleanroom tool finds the overlap between two lists using Bloom-filter fingerprints (CLKs), why the server can't reverse them, and how the browser tier keeps raw data on your device.
A knowledge graph is only as good as its entities. Why bad entity resolution wrecks KG quality and cost, and how GoldenMatch solves the node layer.