kishormorol

kishormorol / ResearchScope

Public

Open-source research intelligence for CS papers — track what matters, who drives it, what to read first, and where the research gaps are.

kishormorol.github.ioResearchScope
60
5
100% credibility
Found Apr 14, 2026 at 34 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

ResearchScope is an open-source static website that aggregates recent computer science papers from arXiv and conferences, scores them for importance and readability, tags topics, and highlights research gaps via daily automated updates.

How It Works

1
🌐 Discover ResearchScope

You hear about a free website that helps track the latest computer science papers and visit it online.

2
📊 Land on the Dashboard

The homepage shows daily updated stats, top papers, active authors, and hot topics at a glance.

3
⭐ Spot the Highlights

Featured papers of the day, rising labs, and emerging trends catch your eye with scores and quick summaries.

4
Choose Your Path
📚
Explore Topics

Browse learning paths by difficulty, from beginner to advanced, with starter and frontier papers.

👥
Follow Authors & Labs

Check prolific researchers and teams, see their recent work and momentum.

5
🕵️ Hunt for Gaps

Visit the research gaps page to find under-explored ideas and starter projects.

💡 Get Inspired

You discover key papers to read, new directions to explore, and feel ahead of the curve in AI research.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 34 to 60 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is ResearchScope?

ResearchScope delivers a static dashboard for CS papers from arXiv and ACL Anthology, scoring them on recency, citations, and relevance to surface what matters first. It ranks read-next papers by difficulty and prerequisites, tracks prolific authors and labs that drive trends, and spots research gaps via explicit limitations and patterns. Python-powered open source research tool, it rebuilds daily via GitHub Actions to a zero-backend GitHub Pages site—fork and deploy your own in minutes.

Why is it gaining traction?

Unlike raw arXiv feeds or paid trackers, it curates learning paths tagged by topic and level, plus gap explorers highlighting under-explored directions—ideal for open source research experience without manual filtering. The GitHub Actions pipeline automates enrichment like author momentum and content hooks, making it a lightweight open source GitHub Actions alternative for daily intel. Early adopters get a self-hosted open source research data repository updated hands-free.

Who should use this?

PhD students mapping ML/NLP reading lists by difficulty, researchers hunting gaps in LLMs or diffusion models, and indie devs scouting open source research collaboration trends. Perfect for those tired of sifting arXiv noise, wanting scored "read first" drives from top labs.

Verdict

Promising alpha for personal dashboards (11 stars, 1.0% credibility score)—docs and local pipeline shine, but expand connectors for broader use. Fork as your open source research agent today; contribute to mature it.

(187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.