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Show HN: Kairos – Open-source risk and fraud decisioning platform

Hey HN, Ayan here from Finic. We’re launching Kairos, an open source alternative to Sift, Sardine, and other real-time fraud decisioning platforms. Kairos addresses two of the biggest problems facing traditional decisioning tools: a lack of labeled data to train on and dealing with fraudsters that are constantly changing their tactics. 1. Traditional fraud solutions use ML models such as XGBoost to detect fraud, but these models are dependent on quality labeled data which many businesses do not

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Source record

Recorded metrics

points · 97 votes
2026-11-04 12:30:05.777Z
cumulative since publication

Research analysis

Project record

Repository: finic-ai/kairos. Source account: Hey HN, Ayan here from Finic. We’re launching Kairos, an open source alternative to Sift, Sardine, and other real-time fraud decisioning platforms. Kairos addresses two of the biggest problems facing traditional decisioning tools: a lack of labeled data to train on and dealing with fraudsters that are constantly changing their tactics. 1. Traditional fraud solutions use ML models such as XGBoost to detect fraud, but these models are dependent on quality labeled data which many businesses do not

Observed adoption & comparisons

Source votes: 97 votes (Nov 4, 2026 UTC; cumulative since publication); previous same-scope observation: 82 (Nov 4, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “FareedKhan-dev/kimi-k3-in-c” (GitHub Trending, Nov 5, 2026); “Open source AI is booming. Hugging Face explains who profits.” (TechCrunch, Nov 4, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.

Adoption decision

Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.

Unverified requirements

Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.

Next test

Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.