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ResearchFlow: Academic Research Project OS

A unified workspace built specifically for multi-paper research workflows. Researchers create a 'project hub' per paper that auto-syncs experiment logs, manuscript versions (with native .docx/.tex diff), collaborator feedback threads, journal submission tracking, and deadline calendars. Unlike generic tools, it understands academic timelines (revise-and-resubmit cycles, conference abstract deadlines, embargo periods) and surfaces context-specific actions ("3 co-authors haven't reviewed v4 yet", "Nature deadline in 8 days").

SAAS

33 weeks • 70% confidence

Value Proposition

Eliminates email-spreadsheet chaos by centralizing manuscript versions, feedback, and deadlines in one place. Native academic workflows (revision rounds, co-author permissions, journal-specific templates) save 5-8 hours/week vs. Asana + Google Drive + email. Reduces missed deadlines and lost feedback threads.

Target Audience

PhD and MSc researchers at R1 universities and research institutes; thesis advisors managing 5+ active student projects

Key Features

  • Per-paper project hub with real-time collaborator presence
  • Native .docx/.tex version control with inline comment threading (not generic comments)
  • Submission tracker: journal, date sent, review status, resubmit deadline, revision checklist
  • And more, with full implementation detail...

Tech Stack

React/Next.js (frontend) Node.js + PostgreSQL (backend) Diff library (diff-match-patch or similar for .docx/.tex) Overleaf API, Notion API, Evernote API
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Original Problem

Researchers struggle to organize and manage multiple concurrent research projects, papers, and deadlines without losing track of progress

PhD and MSc researchers juggling multiple papers, experiments, and submissions lack a centralized system to track versions, deadlines, collaborator feedback, and project status. Current solutions (email, spreadsheets, generic project tools) don't understand academic workflows, forcing researchers to waste hours context-switching and manually consolidating information across fragmented tools.

Score: 19.2% • 1 demand signal