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Sci-Trust

Compare trust among researchers based on their citations

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HN · launched Aug 20, 2026 · 9 upvotes (top 47%) · 0 views

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

Category and tags

  • Education
  • Analytics & BI
  • B2C
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial Displaying academic citation graphs in a web UI is standard, but computing custom trust rankings across massive citation networks requires graph algorithms and huge bibliometric datasets.

What it would actually take: Requires ingestion pipelines for massive academic datasets (e.g., OpenAlex, Crossref, Semantic Scholar) containing hundreds of millions of papers and citations, stored in graph databases like Neo4j or vector/columnar stores. The algorithmic engine requires PageRank-like personalized trust propagation algorithms implemented in Python or Rust with high-performance graph processing libraries (e.g., NetworkX, cuGraph).

Discussion

2 comments analyzed.

Competitors mentioned: Semantic Scholar, Citation-based rankings, Personalized PageRank

Concerns raised: LLM classification of citations is lossy/imperfect, Citations are imperfect proxy for trust, Whether trust graph actually represents real scientific consensus

Feature requests: Visualize researcher bias and perspective differences, Run analysis on custom datasets, Compare multiple researchers side by side

Competitors

Other products that read as similar to this one : 841 launches clear the similarity bar, closest 8 shown.

Attention rank: #353 of 842 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 293 days after the earliest competitor.

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