The Problem: Information Overload Meets Privacy Concerns
As a developer or tech professional, staying current with industry news is essential, but it's overwhelming. You're subscribed to dozens of RSS feeds, news sites, and tech blogs. Each morning brings hundreds of articles, and you don't have time to read them all. You need the important stuff, fast.
Traditional solutions have a catch: they send your reading habits to cloud servers. Your privacy becomes the price of convenience. What if you could have intelligent news summarization that runs entirely on your computer, with zero data leaving your machine?
CerebraFeed solves this: a desktop application that aggregates news from multiple RSS feeds and uses local AI to intelligently summarize articles, identify key takeaways, and help you build your own curated news library, all while keeping everything private and offline.
What CerebraFeed Does
Intelligent News Aggregation
CerebraFeed connects to your favorite RSS feeds (tech blogs, company announcements, industry news sites) and automatically fetches the latest articles. Instead of showing you raw headlines, it uses local AI to:
- Generate concise summaries: 2-3 sentence summaries that capture what actually happened
- Extract industrial implications: 3-5 strategic takeaways that matter for developers and companies
- Score importance: Each article gets a 1-10 importance rating, so you can prioritize what to read
Privacy-First Design
Everything happens on your computer. The AI model runs locally using Ollama, which means:
- Zero data sharing: No telemetry, no cloud dependencies, no privacy concerns
- Offline capable: Works without internet after the initial model download
- Complete control: Your reading habits, favorite articles, and notes stay on your machine
Your Personal News Library
CerebraFeed isn't just a reader; it's a curation tool:
- Favorite articles: Bookmark important articles to build your own local library
- Personal notes: Add custom notes to your favorites for future reference
- Search and filter: Find articles by title, source, or importance level
- Export options: Export your favorites to Markdown for sharing or archiving
How It Works: A Simple Workflow
1. Set Up Your News Sources
Add RSS feeds from your favorite tech companies, blogs, or news sites. CerebraFeed can auto-discover RSS feeds from website URLs, so you don't need to hunt for feed links manually.
2. Scan for News
Click "Scan for News" and watch the animated radar visualization as CerebraFeed:
- Fetches articles from all your RSS sources
- Downloads full article content (not just excerpts)
- Processes each article through local AI for summarization
3. Review Summaries
Articles appear with:
- Concise summary: What happened, in 2-3 sentences
- Industrial implications: Strategic takeaways for developers and companies
- Importance badge: Visual indicator (🔥 High, ⭐ Medium, 📰 Low)
- Source and date: Where it came from and when it was published
4. Build Your Library
- Mark as read: Track what you've already reviewed
- Favorite important articles: Save articles to your local library
- Add notes: Attach personal notes to favorites for future reference
- Export: Share or archive your curated collection
Application Screenshots
Who Is This For?
Developers and tech professionals who need to stay current with industry news but don't have time to read hundreds of articles daily.
Privacy-conscious users who want AI-powered summarization without sending data to cloud services.
Teams that need curated, summarized news feeds for staying informed about industry trends.
Anyone overwhelmed by information overload who wants intelligent filtering and prioritization.
📹 Video Demo
See CerebraFeed in action:
Why Privacy Matters
In an era where every click is tracked, every reading habit is monetized, and every preference is sold to advertisers, CerebraFeed offers something different: complete privacy. Your news consumption stays on your machine. Your favorites, notes, and reading history belong to you, not to a cloud service that might change its privacy policy tomorrow.
This isn't just about avoiding tracking. It's about having a tool that respects your data sovereignty while delivering the intelligent features you need.
Getting Started
CerebraFeed is a desktop application that runs on Windows (with macOS and Linux support planned). The first-time setup includes:
- Installing Ollama: The local AI runtime (automatic setup wizard)
- Downloading an AI model: CerebraFeed recommends models based on your hardware
- Adding RSS sources: Connect your favorite news feeds
Once set up, you're ready to start building your private news library.
Summary
CerebraFeed combines intelligent AI summarization with complete privacy. It helps you stay informed about industry news without the information overload, while keeping all processing and data local to your machine. Whether you're a developer tracking tech trends, a professional staying current with industry news, or someone who values privacy in their digital tools, CerebraFeed offers a modern solution to an age-old problem: too much information, too little time, and too many privacy concerns.
This is part of my "Experimental Commercial Products" portfolio, exploring privacy-first desktop applications that leverage local AI for intelligent information processing.