Trend Detection

What is Trend Detection?

Trend Detection analyzes articles across all your feeds and identifies topics that appear repeatedly in a short period of time.

If 10 articles across your feeds mention “Model Context Protocol” in the same week, that’s a signal. It’s becoming important in your niche.

How It Works

The detection pipeline will:

Extract topics from new articles using keyword extraction or NLP
Track frequency: how often each topic appears across feeds and over time
Score velocity: topics growing rapidly in mentions score higher
Surface emerging trends: notify you through a dedicated “Trending” section

A new section in the sidebar will show your personalized trending topics:

📈 Trending This Week

  1. Model Context Protocol        ████████  14 mentions
  2. SQLite in production          ██████    11 mentions
  3. React Server Components       █████     9 mentions
  4. AI agent frameworks           ████      7 mentions
  5. Distributed SQLite (Turso)    ███       5 mentions

These trends are derived only from your own feeds. No external data, no “what’s trending on the internet.”

Why This Matters

Standard RSS reading is chronological. Trend detection adds a topic layer:

Spot emerging technologies before they’re mainstream
Identify consensus: when many smart people write about the same thing, pay attention
Plan your content: trend data tells you what your audience cares about right now
Reduce FOMO: confidence that you haven’t missed anything important

Personalization

Because trends are computed from your feeds, they’re uniquely relevant to your interests. A developer following tech blogs will see different trends than a marketer following advertising publications.