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finextract

Benchmark and fix LLM hallucinations when extracting figures from SEC 10-K filings

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GITHUB · launched Oct 31, 2026 · 24 upvotes (top 50%) · 0 views

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

Category and tags

  • Fintech
  • Observability & eval
  • Developer
  • AI-native
  • Hobby / open-source project
  • evaluation
  • fastapi
  • finance
  • llm
  • python
  • rag
  • +1 more

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Could you build this?

Partial The extraction pipeline and benchmark harness can be vibe-coded with LLM APIs, but building a trustworthy benchmark needs carefully labeled ground truth and accuracy gains need real ML and financial-data expertise.

What it would actually take: A real version needs an EDGAR/XBRL and 10-K parsing pipeline, a human-verified ground-truth dataset of filing figures, and an evaluation harness measuring hallucination rates. Fixing errors likely requires retrieval, table-structure handling, and validation rules designed by someone with accounting and ML experience.

Competitors

Other products that read as similar to this one : 1718 launches clear the similarity bar, closest 8 shown.

Attention rank: #811 of 1719 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 367 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.