AI Academic Paper Summarizer & Simplifier

Inspiration: "Research & Summaries" is a stable demand service. Scholars, students, and journalists need to quickly understand core ideas of complex academic papers, but reading full papers is extremely time-consuming.

Target Customers: Graduate students, PhD students, scholars, researchers, science journalists, anyone needing to read extensive academic literature.

Pain Points:

• Limited time: Too many new papers published daily to read them all
• Language barriers: Papers filled with complex terminology and obscure sentence structures
• Missing key points: Difficult to quickly extract core contributions, methods, and conclusions from 30-page papers

Solution (Micro-SaaS): AI reading assistant designed specifically for academic papers. Users upload PDF papers or paste ArXiv links, AI automatically reads full text and generates structured, accessible summary.

MVP Core Features:

• Input Methods: Support PDF upload or URL input
• Structured Summary Output: AI-generated summary with standard sections:
  1. TL;DR: Core idea in one sentence
  2. Problem Addressed: Research background and motivation
  3. Methodology: Experimental/research design
  4. Conclusions: Main findings
  5. Limitations: Authors' acknowledged research shortcomings
• "Explain Like Undergrad" (ELI-Undergrad): Accessible version using analogies for core concepts
• Copy/Export: Easy summary saving to personal notes

Development Investment: Medium. PDF parsing and long text understanding are key.

• Core Engine: Claude 3 Opus or Google Gemini 1.5 Pro for large context windows enabling full paper processing

Traffic Acquisition Strategy:

• Primary Keywords: "academic paper summarizer", "AI research paper summary", "pdf summarizer for students"
• Target Communities: r/GradSchool, r/MachineLearning, academic Twitter

Competitive Advantage: Highly structured summary format following academic thinking paradigms, more researcher-focused than general "PDF chat" tools.