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Build evals and custom benchmarks for real-world tasks

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Run eval experiments at scale in realistic environments. Define custom task sets to build your private benchmarks, measure how well agents can use any product, and find best models for your use cases. Generate dynamic insights to detect frictions in product interfaces or token inefficiencies.

PH · launched Aug 10, 2026 · 339 upvotes (top 25%) · 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
  • Software Engineering
  • Developer Tools
  • Artificial Intelligence

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Could you build this?

Partial The dashboard for defining tasks, rubrics, and visualizing benchmark trajectories is standard CRUD, but orchestrating isolated, scalable cloud VM sandboxes (with CLI/MCP server setups and network isolation) requires substantial infrastructure engineering.

What it would actually take: The architecture requires a microVM orchestration engine (such as Firecracker, Fly.io Machines, or Nomad) to spin up isolated execution environments per task run. A worker fleet must manage environment setup (CLIs, API keys, MCP servers), securely capture execution telemetry/trajectories, and pipe results into an asynchronous evaluation pipeline (LLM judges + unit tests) backed by ClickHouse or Postgres.

Competitors

Other products that read as similar to this one : 23 launches clear the similarity bar, closest 8 shown.

Attention rank: #8 of 24 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 196 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.