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safety-ruleset-library

한국어 위험발화 판별기(사전세트, 진의판별모델, 감정분류모델) + 테스트세트 + 테스트도구

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GITHUB · launched Nov 11, 2026 · 15 upvotes (top 94%) · 0 views

Niche: llm security and guardrails software · 58 launches, 5 in the last 7 days ▼ -44% · Explore this niche →

Category and tags

  • Horizontal
  • Compliance & governance
  • Developer
  • AI-native

Visit website ↗ Source listing ↗

Could you build this?

Partial The UI and test tooling are vibe-codeable, but a credible Korean harmful-content classifier depends on curated, labeled Korean safety datasets and red-team expertise that an AI coding assistant cannot supply.

What it would actually take: The stack would be a rules engine plus fine-tuned or hosted classifiers (for example, a Korean-capable transformer model for toxicity or self-harm), wrapped in an evaluation harness. The hard parts are building a labeled Korean dataset with consistent taxonomy and validating accuracy and false-positive rates. That requires trust-and-safety or linguistics expertise and substantial annotation budget.

Competitors

Other products that read as similar to this one : 291 launches clear the similarity bar, closest 8 shown.

Attention rank: #274 of 292 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 365 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.