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Mirrors

test AI agent changes by replaying production traces

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HN · launched Jul 2, 2026 · 8 upvotes (top 54%) · 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

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Could you build this?

No Mirrors requires building synthetic sandboxed digital twins of enterprise third-party APIs from production traces and orchestrating deterministic session replay across arbitrary LLM tools. Developing mock synthesis, state tracking, and network interception across multiple languages demands deep distributed systems and compiler/runtime expertise.

What it would actually take: The architecture requires SDK collectors (eBPF or language-level HTTP/gRPC middleware in TS/Python/Go) that stream request-response traces to an event ingestion engine (Kafka/ClickHouse). The system must analyze recorded traces, generate stateful synthetic mock servers with relational schema inference, and manage dynamic mock orchestration across transient test environments, coupled with diffing engines to evaluate model drift on non-deterministic tool calls.

Discussion

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Competitors

Other products that read as similar to this one : 3932 launches clear the similarity bar, closest 8 shown.

Attention rank: #1928 of 3933 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 246 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.