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pojia-breaker

Chinese-first LLM jailbreak benchmark & red-team toolkit | 中文LLM安全评测框架 | by POJIA.AI

Details

External ID
1384544819
Source
GITHUB
Company
—
Product
pojia-breaker
Website domain
vercel.app
Launched
Sept. 24, 2026
Cohort
—
Upvotes
18
Upvotes percentile
0.5655905713553676
Tags
ai-safety, benchmark, chinese-nlp, deepseek, jailbreak, llm-evaluation, llm-security, prompt-injection, red-team, security-research
Fetched at
Sept. 27, 2026, 5:02 p.m.
Updated at
Sept. 27, 2026, 5:02 p.m.

Enrichment

Theme
Vertical
Security
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
chinese-first llm jailbreak benchmark and red-team toolkit
Manually corrected
False

Could you build this?

Partial The UI and basic evaluation harnesses can be vibe-coded, but assembling a specialized Chinese LLM jailbreak dataset and automated multi-turn adversarial exploit engine requires deep red-teaming security knowledge.

What it would actually take: The architecture involves a red-teaming orchestrator (Python/FastAPI) driving target LLMs through multi-turn conversational trees, paired with dynamic scoring evaluators and automated prompt mutators. The hard part lies in discovering and cataloging zero-day adversarial jailbreak templates tailored to Chinese cultural and regulatory guardrails (e.g., evasion of mainland safety filters and specialized WAF bypasses). This requires seasoned AI security and prompt injection research expertise.

Competitors

Other products that read as similar to this one — 64 launches clear the similarity bar, closest 8 shown.

Attention rank: #24 of 65 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 311 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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