Show HN: Cordon – Reduce large log files to anomalous sections https://ift.tt/tNWe5Hz

Show HN: Cordon – Reduce large log files to anomalous sections Cordon uses transformer embeddings and density scoring to identify what's semantically unique in log files, filtering out repetitive noise. The core insight: a critical error repeated 1000x is "normal" (semantically dense). A strange one-off event is anomalous (semantically isolated). Outputs XML-tagged blocks with anomaly scores. Designed to reduce large logs as a form of pre-processing for LLM analysis. Architecture: https://ift.tt/tPfibCy... Benchmark: https://ift.tt/i9Oa6nI... Trade-offs: intentionally ignores repetitive patterns, uses percentile-based thresholds (relative, not absolute). https://ift.tt/yU3TuP8 December 16, 2025 at 02:06AM