Attention without identities

Trends

See what is gaining attention over time without turning individual searches into individual profiles.

For reporters, researchers, and curious people comparing changes in public attention—not tracking people.

Current availability

Aggregation and time-series components exist. There is no public live explorer, and the privacy boundary still needs production proof.

Incubating

A smaller path from intent to outcome.

  1. 01

    Compare real windows

    Hourly and daily views make the time period explicit.

  2. 02

    Hide thin cohorts

    Minimum group sizes are designed to prevent a single person becoming a trend.

  3. 03

    Keep context attached

    A useful trend should link back to sources and explain its coverage.

What is real now—and what still has to be earned.

The badge names this product’s place in the portfolio, not public availability. This record separates working parts from missing product proof.

In the code today

  • A query-trend service and temporal-analysis layer
  • Hourly and daily aggregation contracts
  • Minimum-cohort privacy rules

Before broader release

  • Prove the privacy boundary against the live producer
  • Build a source-aware trends explorer with honest coverage

Trends is an aggregate analytical product, not a personalized recommendation feed.