Cordon
Reduce large log files to anomalous sections
Details
- External ID
- 46280239
- Source
- HN
- Company
- —
- Product
- Cordon
- Website domain
- github.com
- Launched
- Dec. 15, 2025
- Cohort
- —
- Upvotes
- 22
- Upvotes percentile
- 0.6708015267175572
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
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://github.com/calebevans/cordon/blob/main/docs/architec...Benchmark: https://github.com/calebevans/cordon/blob/main/benchmark/res...Trade-offs: intentionally ignores repetitive patterns, uses percentile-based thresholds (relative, not absolute).
Enrichment
- Theme
- developer tools and programming utilities
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- log file anomaly detection
- Manually corrected
- False
Could you build this?
Yes The tool computes sentence/token embeddings for log lines using an off-the-shelf embedding model, performs basic density scoring (e.g., kNN or cosine distance), and formats the output with XML tags.
Discussion
2 comments analyzed.
Competitors
Other products that read as similar to this one — 24 launches clear the similarity bar, closest 8 shown.
Attention rank: #8 of 25 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 25 days after the earliest competitor.
- Ctrlb-decompose: Strip the noise from logs before sending to LLMs · hn · 2026-09-09 · 14 upvotes · similarity 0.37
- ML condenses billions of logs into a tiny snapshot your LLM can debug · hn · 2026-06-17 · 13 upvotes · similarity 0.37
- HighSNR · hn · 2026-03-16 · 6 upvotes · similarity 0.37
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- CodeDiff · hn · 2026-09-29 · 6 upvotes · similarity 0.35
- Robust LLM extractor for websites in TypeScript · hn · 2026-03-26 · 72 upvotes · similarity 0.35
- Analyzing Semantic Redundancy in LLM Retrieval (Google GIST Protocol) · hn · 2026-01-27 · 6 upvotes · similarity 0.34
- ISON · hn · 2025-12-26 · 7 upvotes · similarity 0.33
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.