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DoubleTakeBench

DoubleTakeBench: 525 evidence-based judgment questions from coding-agent trajectories for evaluating System 1 models and LLMs.

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GITHUB · launched Oct 21, 2026 · 12 upvotes (top 87%) · 0 views

Niche: ai benchmarking platforms · 145 launches, 4 in the last 7 days ▼ -56% · Explore this niche →

Category and tags

  • Horizontal
  • Observability & eval
  • Developer
  • AI-native
  • Hobby / open-source project
  • benchmark
  • coding-agents
  • dataset
  • llm-evaluation
  • system-1

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Could you build this?

Partial The benchmark tooling is buildable, but its 525 questions depend on expert-labelled judgments over coding-agent trajectories, which is hard to reproduce without the labelling effort.

What it would actually take: Collect coding-agent trajectories, then have domain experts write and validate evidence-based judgment questions with reference answers. The tooling is a standard evaluation harness, but the hard part is the high-quality human annotation and agreement checks, which require expert time and a rigorous labelling protocol.

Competitors

Other products that read as similar to this one : 2780 launches clear the similarity bar, closest 8 shown.

Attention rank: #2311 of 2781 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 357 days after the earliest competitor.

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