by neej4 · Agent Tool · ★ 32
Papers in. Ideas out. ScholarScout reads 250M+ academic papers from 8 databases and generates actionable ideas tailored to your goal: thesis, hackathon, SaaS product, literature review, or your next feature. Quick Start · Four Modes · Features · Documentation · Live Demo · Changelog Quick Start bash git clone https://github.com/neej4/ScholarScout.git cd ScholarScout pip install -r requirements.txt python
| Stars | 32 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.8840419288313/100 |
| Last Updated | 2026-06-21 |
| Created | 2026-05-21 |
| Platforms | python |
| Est. Tokens | ~15k |
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ScholarScout is Papers in, ideas out. Generate research, product, or feature ideas from 250M+ academic papers.. It is categorized as a Agent Tool with 32 GitHub stars.
ScholarScout is primarily written in Python. It covers topics such as academic-research, ai-tools, arxiv.
You can find installation instructions and usage details in the ScholarScout GitHub repository at github.com/neej4/ScholarScout. The project has 32 stars and 7 forks, indicating an active community.
ScholarScout is released under the MIT license, making it free to use and modify according to the license terms.