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Show HN: Auto-Match – How We Built Receipt-to-Transaction Matching (Open Source)
A deep dive into how we built a reconciliation engine that automatically matches receipts to transactions with 95%+ accuracy using vector embeddings, learning calibration, and multi-dimensional scoring algorithms.
These embeddings allow our system to understand that "AMZN MKTP" and "Amazon Marketplace Purchase" refer to the same thing, even though the text strings are completely different. Every time you confirm, decline, or unmatch a suggestion, we feed that data back into a calibration algorithm that adjusts the matching thresholds for your team. Clean, matched financial data unlocks powerful insights: cash flow predictions, spending pattern analysis, tax optimization, and automated reporting.
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