Multi-Source Intelligence
Unified search across arXiv, OpenAlex, and Semantic Scholar. Cross-reference millions of papers from multiple databases in a single query.
ScholarScout reads 250M+ academic papers and generates actionable research ideas — tailored to your next thesis.
From multi-source intelligence to real-time streaming — ScholarScout is built for serious researchers and hackers alike.
Unified search across arXiv, OpenAlex, and Semantic Scholar. Cross-reference millions of papers from multiple databases in a single query.
P-number grounding system traces every claim back to a real paper. Color-coded verification badges show trust level at a glance.
Get a full research outline with methodology, relevant datasets, implementation timeline, key papers, and potential challenges — all in one click.
Semantic similarity analysis via embeddings detects if your idea already exists. Get a novelty score before you invest months of research.
LLM self-rates every generated idea on a 1–10 scale. Low-quality outputs are automatically filtered so you only see the best ideas.
Server-Sent Events streaming delivers live progress tracking. Watch papers get fetched, analyzed, and transformed into ideas in real time.
From setup to actionable research ideas in minutes — not months.
Choose your LLM provider (Gemini, Groq, Ollama, OpenAI, or any custom endpoint) and select from 80+ arXiv research categories. The setup wizard walks you through everything.
Full Pipeline fetches papers, analyzes them, generates ideas, and performs quality checks. Quick Mode skips straight to idea generation for rapid brainstorming.
Browse generated ideas with quality scores and grounding badges. Click any idea for a detailed deep-dive analysis with methodology, datasets, and implementation timeline.
Whether you're writing a thesis, building a product, or extending a codebase — ScholarScout adapts to your workflow.
Designed for graduate students, postdocs, and professors. Generates thesis-ready research topics with:
Built for founders, indie hackers, and product managers. Transforms academic breakthroughs into buildable product ideas with:
Made for developers with existing projects. Suggests features grounded in academic research that enhance your codebase:
Every idea is verified, refined, and stress-tested before it reaches you.
Every claim is traced back to real papers using the P-number citation system. Each idea receives a verification badge:
Ideas go through a multi-pass refinement process. The LLM critiques its own output, identifies weaknesses, and regenerates a stronger version — producing higher-quality ideas than single-pass generation.
Dual-framing robustness check generates each idea from two different prompt angles. Ideas that appear under both framings are marked as robust — reducing prompt sensitivity and increasing reliability.
ScholarScout works with any LLM. Pick the provider that fits your budget and speed requirements.
| Provider | Cost | Speed | Notes |
|---|---|---|---|
| Gemini | Free | ●●●●○ Fast | Google's Gemini API with generous free tier |
| Groq | Free | ●●●●● Very Fast | Lightning-fast inference with free API access |
| Ollama | Free / Local | ●●●○○ Varies | Run models locally — full privacy, no API costs |
| Custom | Any | ●●●○○ Varies | Connect any OpenAI-compatible endpoint |
| OpenRouter | Paid | ●●●●○ Fast | Access 100+ models through a single API |
| OpenAI | Paid | ●●●●○ Fast | GPT-4o and other OpenAI models |
Get up and running in under 2 minutes. No API key required — start with Gemini's free tier.
# Clone & install
$ git clone https://github.com/neej4/ScholarScout.git
$ cd ScholarScout
$ pip install -r requirements.txt
# Launch the preview server
$ python preview_server.py