# ReadGlim
> AI-powered personalized knowledge feed for engineers and technical professionals. Aggregates high-signal AI and tech content, ranks it, and delivers concise personalized summaries.

## Public pages
- [Home](https://readglim.com): What ReadGlim is, how it works, and how to sign up
- [All Topics](https://readglim.com/topics): Full list of topics ReadGlim tracks
- [Privacy Policy](https://readglim.com/privacy): How user data is collected, stored, and used
- [Terms of Service](https://readglim.com/terms): Usage terms and conditions

## Topic hubs
- [AI Research](https://readglim.com/feed/ai-research): Papers, model releases, and research from top AI labs
- [AI Engineering](https://readglim.com/feed/ai-engineering): Applied LLMs, agents, RAG, evals, and production AI systems
- [Software Engineering](https://readglim.com/feed/software-engineering): Languages, practices, and engineering craft
- [Data Science](https://readglim.com/feed/data-science): Data, analytics, and ML tooling
- [Developer Tools](https://readglim.com/feed/developer-tools): Frameworks, libraries, and developer tooling
- [System Design](https://readglim.com/feed/system-design): Architecture, scalability, and distributed systems
- [Cloud Infrastructure](https://readglim.com/feed/cloud-infrastructure): Cloud platforms, DevOps, and infrastructure
- [Web Development](https://readglim.com/feed/web-development): Frontend, backend, and the web platform
- [Security](https://readglim.com/feed/security): Security research, vulnerabilities, and defensive practices

Article pages live at https://readglim.com/article/<id> — each carries an original AI summary, a "why it matters" explanation, key takeaways, and a link to the primary source. Personalized and account pages (the personalized feed, dashboard, bookmarks, profile, stats, search) are private and excluded from indexing.

## What ReadGlim does
ReadGlim aggregates content from 40+ curated AI and technology sources — research papers, engineering blogs, Hacker News, and technical subreddits. It ranks articles using a scoring formula weighted by topic relevance, source authority, community engagement, and freshness. High-ranked articles are summarized by AI (Claude) and delivered as a personalized feed.

## Content categories
- AI Research: papers, model releases, benchmarks
- AI Engineering: MLOps, inference, fine-tuning, deployment
- Software Engineering: systems, architecture, developer tooling
- Data Science: analytics, pipelines, statistics
- Developer Tools: IDEs, CLIs, open-source tooling

## Key facts
- Launched 2026
- Built for engineers, researchers, and technical professionals
- Sources include: arXiv, OpenAI blog, Anthropic blog, Hacker News, top ML/programming subreddits, and 35+ engineering blogs
- Feed refresh: every 5–15 minutes depending on source tier
- Summaries generated on-demand and cached permanently
- No ads. No algorithmic noise. Source quality is the primary ranking signal.

## Contact
- Website: https://readglim.com