Business Idea:
An AI-powered research paper screener that streamlines the systematic review process by automatically assessing PDFs based on user-defined criteria, saving researchers time and increasing accuracy.
Problem:
Manually reviewing and screening numerous lengthy research papers for systematic reviews is tedious, time-consuming, and prone to human error, delaying research progress.
Solution:
A focused web app allowing users to upload PDFs, set inclusion/exclusion criteria, and leverage AI to automatically identify relevant studies, summarize decisions, and export results in CSV format—making literature reviews faster and more efficient.
Target Audience:
Academic researchers, PhD students, research institutions, and professionals conducting systematic reviews or literature analyses across various scientific disciplines.
Monetization:
Subscription-based model with tiered plans for individual researchers, academic institutions, and organizations. Optional premium features like advanced analytics or personalized support.
Unique Selling Proposition:
A dedicated, single-feature tool optimized for accuracy and speed in paper screening, unlike broader AI assistants. Its simplicity ensures ease of use while maintaining reliable AI suggestions, filling a niche underserved by complex, multi-feature platforms.
Launch Strategy:
Start with a minimum viable product (MVP) accessible to early adopters via targeted outreach, academic forums, and research communities. Gather user feedback, iterate, and promote through partnerships with academic institutions and research networks to validate and expand the user base.
Upvotes: 7
Read more: REDDIT – r/microsaas