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Zenith: sota harness for normal models to beat Fable on FrontierSWE

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HN · launched Jun 29, 2026 · 8 upvotes (top 50%) · 0 views

Niche: llm benchmarking tools · 84 launches, 1 in the last 7 days · Explore this niche →

Category and tags

  • Horizontal
  • Dev tools
  • Developer
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Partial While an agent evaluation harness can be scaffolded via AI, achieving state-of-the-art results on FrontierSWE requires rigorous prompt engineering, advanced tool-use sandboxing, and substantial compute resources.

What it would actually take: The architecture requires isolated container environments (Docker/Firecracker) executing arbitrary codebase patches against rigorous test suites, accompanied by an adaptive multi-step agent loop with specialized static analysis and AST tools. Calibrating the harness requires significant empirical benchmarking compute across thousands of SWE instances and deep expertise in agentic reasoning strategies.

Discussion

1 comment analyzed.

Concerns raised: Zero development for 3 months, Project appears abandoned

Competitors

Other products that read as similar to this one : 180 launches clear the similarity bar, closest 8 shown.

Attention rank: #100 of 181 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 147 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.