Fabraix
Find gaps in your AI agents before users do
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AI agents fail in ways traditional software doesn't. Our agents help you find all the ways in which your AI agents fail by adversarially testing them in a dedicated environment. Point it at any AI agent, or multi-agent system, and it launches 1,000+ strategies that adapt to your system in real time - pure blackbox, no integration needed. Built by ex-Meta engineers.
PH · launched May 8, 2026 · 196 upvotes (top 69%) · 0 views
Niche: ai agent evaluation platforms · 182 launches, 8 in the last 7 days ▼ -50% · Explore this niche →
Category and tags
- Horizontal
- Observability & eval
- Developer
- AI-native
- Commercial product
- Developer Tools
- Artificial Intelligence
- YC Application
Visit website ↗ Source listing ↗
More like this: all 182 launches in ai agent evaluation platforms →
Could you build this?
Partial Building an interface to send prompts to an LLM agent is easy, but generating over 1,000 adaptive, mutating adversarial jailbreak and edge-case testing strategies requires deep AI safety and red-teaming domain expertise.
What it would actually take: The architecture requires an adversarial orchestration engine (e.g., Python, Celery/Temporal, sandboxed multi-agent simulators) running against target agent endpoints (via MCP, REST, or WebSockets). The core challenge is maintaining a proprietary, evolving taxonomy of jailbreaks, prompt injections, multi-turn deception techniques, and automated evaluation metrics (LLM-as-a-judge + heuristic validators) without hallucinated false positives. It requires AI security research experience to formulate realistic multi-turn adversarial tactics.
Competitors
Other products that read as similar to this one : 1047 launches clear the similarity bar, closest 8 shown.
Attention rank: #806 of 1048 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 191 days after the earliest competitor.
- Fabraix: The Frontier Agent that Hacks Customer-facing AI. · yc · 2026-07-20 · 127 upvotes · similarity 0.61
- three.dev · ph · 2026-11-12 · 131 upvotes · similarity 0.56
- AgentX · ph · 2026-06-22 · 523 upvotes · similarity 0.51
- Flakestorm · hn · 2026-01-05 · 6 upvotes · similarity 0.51
- Agent Reliability Toolkit · ph · 2026-09-10 · 1 upvotes · similarity 0.50
- AgentInflux · ph · 2026-09-07 · 1 upvotes · similarity 0.49
- AI Agent Observability · ph · 2026-10-01 · 2 upvotes · similarity 0.49
- Lumni · ph · 2026-11-03 · 3 upvotes · similarity 0.48
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.