Academic Journal Indexing

A version of Deep Research that allows users to access paywalled academic articles by entering their credentials, enabling comprehensive medical and scientific research.

Key Points:

• Problem:

  • Academic research is locked behind paywalls and auth walls
  • Current tools only allow searching abstracts or uploading individual PDFs
  • No existing solution indexes full text of journals with user credentials

• Solution:

  • Create a version of Deep Research that accepts user credentials
  • Allow AI to access and search through paywalled content
  • Enable comprehensive searching across private data sources

• Technical Approach:

  • Similar to existing tools like Deep Research or GenSpark
  • Would require credential storage and login capabilities
  • Not terribly difficult to build the base functionality
  • The credential storage and login aspects are "more tricky"

• Market Context:

  • Academic publishing industry is "super broken"
  • Companies like Elsevier charge "an arm and a leg" for access
  • Researchers and peer reviewers get paid nothing
  • Existing alternatives (Elicit, Syspace) only search abstracts or individual PDFs

• Personal Motivation:

  • Siqi Chen's daughter was diagnosed with a rare brain tumor
  • Conducting extensive medical research to find treatments
  • Discovered huge gap between standard care and frontier research
  • Particularly important for rare diseases with limited research funding