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maxxbench

Benchmarking Task Adaptation and Generalization in Frontier Coding Agents

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GITHUB · launched Nov 7, 2026 · 32 upvotes (top 76%) · 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

Visit website ↗ Source listing ↗

Could you build this?

Partial The harness for running coding agents on tasks is vibe-codeable. A credible benchmark, however, depends on a carefully curated, validated task set and rigorous evaluation methodology, which takes research expertise and significant compute.

What it would actually take: The harness would be a runner that sandboxes agents, applies tasks, and scores results, using containerized repos and test suites. The hard part is designing tasks that measure task adaptation and generalization without contamination, which needs ML evaluation research. Running frontier models at scale also needs a substantial API budget.

Competitors

Other products that read as similar to this one : 4324 launches clear the similarity bar, closest 8 shown.

Attention rank: #3276 of 4325 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 374 days after the earliest competitor.

  • Ordewell · hn · 2026-09-15 · 54 upvotes · similarity 0.73
  • Jcode: High-performance coding agents · yc · 2026-08-10 · 35 upvotes · similarity 0.73
  • Komi-learn · hn · 2026-05-31 · 27 upvotes · similarity 0.72
  • TaskPeace · hn · 2026-07-03 · 7 upvotes · similarity 0.72
  • Local-coder · hn · 2026-09-21 · 6 upvotes · similarity 0.71
  • XTrace · hn · 2026-10-22 · 5 upvotes · similarity 0.71
  • machine · github · 2026-10-22 · 32 upvotes · similarity 0.70
  • Lula · hn · 2026-03-23 · 5 upvotes · similarity 0.69

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