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Firecrawl Research Index

An index for agents pushing the frontier of AI/ML research

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AI/ML research moves fast, and the work that matters is split between new papers and the code that implements them. Most search providers omit or misrank key papers, leaving you to review sources by hand without ever being sure you've caught everything. So we built an index for it. Firecrawl's index includes all 3M+ arXiv papers, as well as GitHub artifacts from top research repos, refreshed daily so agents always stay current.

PH · launched Jun 19, 2026 · 216 upvotes (top 62%) · 0 views

Niche: vertical search engines and directories · 98 launches, 7 in the last 7 days ▼ -46% · Explore this niche →

Category and tags

  • Horizontal
  • Search & retrieval
  • Developer
  • AI-native
  • Commercial product
  • Developer Tools
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

Could you build this?

Partial While the search interface and API wrapper are straightforward, continuously discovering, parsing, and cross-linking arXiv papers with GitHub repositories at scale requires robust data pipeline engineering.

What it would actually take: Requires an ingestion pipeline pulling from arXiv, Hugging Face, and GitHub APIs, powered by background workers (Celery/Temporal). The hard part is accurate PDF parsing (extracting algorithms and code references), entity matching between academic papers and code repos, and maintaining a real-time hybrid search index (dense vectors via pgvector/Qdrant + BM25).

Competitors

Other products that read as similar to this one : 173 launches clear the similarity bar, closest 8 shown.

Attention rank: #81 of 174 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 218 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.