[KongchangAI]
ProductCurie AI

Curie

An AI-powered literature analysis assistant designed for research workflows. It supports parallel querying of multiple academic databases including PubMed and arXiv, and provides structured data extraction and systematic review workflows. All conclusions are accompanied by source citations, with an emphasis on traceability and human-in-the-loop design.

Timeline (last 90 days)

Sep 29

Curie was created by Víctor Madarnás and is categorized under three sections on Product Hunt: Productivity, Education, and Artificial Intelligence

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Sep 29

Curie is an AI research assistant built for real scientific work, focused on literature analysis rather than being a general-purpose conversational tool

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Sep 29

Curie received 83 upvotes on Product Hunt, ranking 11th on the day

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Sep 29

Every conclusion in Curie is verified against the original literature, allowing users to see which claims are backed by sources

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Sep 29

Curie can simultaneously search five academic databases in parallel: PubMed, arXiv, Europe PMC, OpenAlex, and Semantic Scholar

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Sep 29

Curie employs a search-first, verify-later workflow, cross-checking each assertion against the original text to prevent AI hallucination

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Sep 29

Curie can extract structured data from specific documents, with every extracted value accompanied by a citation to the original text

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Sep 29

Curie supports a complete systematic review workflow, covering protocol development, literature screening, and generation of PRISMA flow diagrams

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Sep 29

Curie has built-in Projects and Library features for organizing and managing research materials

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Sep 28

Davinci has approximately 175 billion parameters, while Curie, Babbage, and Ada progressively reduce parameter scale, corresponding respectively to scenarios such as classification, semantic search, and text embedding.

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