Show HN: A 4B model that gates stablecoin payments (99.5% decision accuracy)

Category: ai-ml

Tags: stablecoin, risk-assessment, crypto, machine-learning, payments

Score: 5.3/10 (Innovation: 6, Technical: 5, Documentation: 2, Utility: 5)

A 4B parameter model designed to gate stablecoin payments by assessing risk and dispute likelihood, claiming 99.5% decision accuracy. It targets the growing need for automated compliance in crypto payments, but lacks publicly available code, documentation, or reproducibility details.

Target audience: backend devs, fintech engineers, compliance teams

Repository: https://huggingface.co/spaces/sriram1983007/sra-riskgate-demo

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