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PaperFigureLib

Every figure from top-venue CS papers, labelled by type and served as a style-reference gallery

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GITHUB · launched Sep 20, 2026 · 9 upvotes (top 80%) · 0 views

Niche: academic writing and research tools · 139 launches, 4 in the last 7 days ▼ -50% · Explore this niche →

Category and tags

  • Education
  • Search & retrieval
  • Prosumer
  • Not AI
  • Hobby / open-source project

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Could you build this?

Partial The gallery UI and filter search interface are simple to vibe-code, but extracting, parsing, and classifying thousands of figures and captions from academic PDF papers requires an extensive document parsing and vision-ML pipeline.

What it would actually take: Requires an ingestion and extraction pipeline using tools like Grobid, PyMuPDF, or Nougat to parse arXiv/top-venue CS PDFs, segment vector and raster figures, and associate them with context captions. A multi-modal classifier (e.g., fine-tuned CLIP or vision LLM) is needed to categorize figures by type (architecture, methodology, data plot), backed by cloud object storage (S3/Cloudflare R2) and a vector/relational search database.

Competitors

Other products that read as similar to this one : 1259 launches clear the similarity bar, closest 8 shown.

Attention rank: #1009 of 1260 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 325 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.