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srl-search

Scholars Reading List search API: semantic and keyword search over ~200M papers, map positions, citation walk

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This is 1 of 61 launches in vertical search engines and directories — see how it stacks up on momentum and crowding →

467 other launches read as similar to this one →

Details

External ID
1413316252
Source
GITHUB
Company
—
Product
srl-search
Website domain
github.com
Launched
Oct. 10, 2026
Cohort
—
Upvotes
25
Upvotes percentile
0.52
Tags
—

Enrichment

Niche
vertical search engines and directories
Vertical
Education
Function
Search & retrieval
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
semantic and keyword search api for academic papers
Manually corrected
False

Could you build this?

No Indexing, searching, and citation-walking across 200 million research papers requires massive distributed search infrastructure and multi-terabyte vector databases.

What it would actually take: Requires a distributed data architecture with OpenSearch for BM25 text search, a multi-node vector cluster (such as Qdrant or Milvus) storing hundreds of millions of embeddings, and a large-scale graph database (like Neo4j or Memgraph) to handle multi-hop citation traversals, supported by distributed batch data pipelines.

Competitors

Other products that read as similar to this one — 467 launches clear the similarity bar, closest 8 shown.

Attention rank: #212 of 468 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 345 days after the earliest competitor.

Other launches for this product