Multi-Source Intelligence
Unified search across arXiv, OpenAlex, and Semantic Scholar. Cross-reference millions of papers from multiple databases in a single query.
Open Source · Runs Locally · MIT
Stop wasting weeks on research
Stop wasting weeks on research
someone already published.
ScholarScout scans 8 academic databases, finds gaps in real time, and turns recent papers into actionable ideas. Papers in. Ideas out.
scholarscout — pipeline running
Real pipeline. Each dot is a paper being fetched.
3 min
From query to ideas
50+
Papers read per run
8
Databases scanned
$0
Free LLM tier works
Core Capabilities
Everything You Need to Discover
From multi-source intelligence to real-time streaming — ScholarScout is built for serious researchers and hackers alike.
Anti-Hallucination
P-number grounding system traces every claim back to a real paper. Color-coded verification badges show trust level at a glance.
Deep Dive Analysis
Get a full research outline with methodology, relevant datasets, implementation timeline, key papers, and potential challenges — all in one click.
Novelty Checking
Semantic similarity analysis via embeddings detects if your idea already exists. Get a novelty score before you invest months of research.
Quality Scoring
LLM self-rates every generated idea on a 1–10 scale. Low-quality outputs are automatically filtered so you only see the best ideas.
Real-Time Pipeline
Server-Sent Events streaming delivers live progress tracking. Watch papers get fetched, analyzed, and transformed into ideas in real time.
Simple Workflow
Three Steps to Breakthrough Ideas
From setup to actionable research ideas in minutes — not months.
Pick Provider & Categories
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.
Run Pipeline or Quick Mode
Full Pipeline fetches papers, analyzes them, generates ideas, and performs quality checks. Quick Mode skips straight to idea generation for rapid brainstorming.
Explore, Deep Dive & Export
Browse generated ideas with quality scores and grounding badges. Click any idea for a detailed deep-dive analysis with methodology, datasets, and implementation timeline.
Flexible Output
One Platform, Four Modes
Whether you're writing a thesis, building a product, extending a codebase, or synthesizing literature — ScholarScout adapts to your workflow.
"What can I research?"
Academic Mode
Designed for graduate students, postdocs, and professors. Generates thesis-ready research topics with:
- Novel thesis topics grounded in recent literature
- Methodology recommendations & research design
- Key papers & citation chains for literature review
- Gap analysis & contribution framing
Academic
Federated Learning for Privacy-Preserving Medical Imaging
"What can I build?"
Product Mode
Built for founders, indie hackers, and product managers. Transforms academic breakthroughs into buildable product ideas with:
- MVP feature specifications & user stories
- Recommended tech stack & architecture
- Revenue model & market opportunity analysis
- Competitive landscape & differentiation strategy
Product
AI-Powered Code Review SaaS with Semantic Diff
"What can I add?"
Develop Mode
Made for developers with existing projects. Suggests features grounded in academic research that enhance your codebase:
- Feature suggestions grounded in your codebase
- Implementation roadmap & API design
- Academic papers supporting each feature
- Dependency & compatibility analysis
Develop
Add Graph-Based Caching Layer to Redis Backend
"What's the state of the field?"
Review Mode NEW in v1.5.3
For literature surveys and systematic reviews. Clusters papers by theme, synthesizes findings per cluster, and surfaces what nobody has answered yet:
- Auto-cluster papers into thematic groups
- Per-cluster synthesis: methodology, findings, gaps
- Cross-cutting analysis: timeline, debates, open questions
- Curated reading list ranked by impact
Review
Federated Learning — 3 active debates, 5 open questions
Core Features
Trust & Quality Built In
Every idea is verified, refined, and stress-tested before it reaches you.
Grounding Verification
Every claim is traced back to real papers using the P-number citation system. Each idea receives a verification badge:
Grounded
Partial
Caution
Self-Distillation
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.
Prompt Sensitivity
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.
Bring Your Own LLM
Choose Your Provider
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 |
0
Papers Indexed
0
Automated Tests
0
Skill Profiles
0
Research Categories
Liked the demo? Run it locally.
3 commands, ~60 seconds. Bring a free Gemini key (or use Groq, Ollama, anything OpenAI-compatible). No account, no cloud, no telemetry.
Terminal
# Clone & install
$ git clone https://github.com/neej4/ScholarScout.git
$ cd ScholarScout
$ pip install -r requirements.txt
# Launch (opens at http://localhost:5050)
$ python preview_server.py
What People Are Saying
Real reactions from researchers, indie hackers, and grad students who tried it.
"The 'someone already published this' moment is the worst thing in grad school. I'd been doing it manually with Google Scholar alerts and still kept missing things. This caught the overlap I missed."
"Smart routing per category prefix is a nice touch. cs.* goes to arXiv + DBLP + S2, med.* goes to PubMed + Scopus. No manual config, just works."