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.
Aggregation and time-series components exist. There is no public live explorer, and the privacy boundary still needs production proof.
Why use it
A smaller path from intent to outcome.
- 01
Compare real windows
Hourly and daily views make the time period explicit.
- 02
Hide thin cohorts
Minimum group sizes are designed to prevent a single person becoming a trend.
- 03
Keep context attached
A useful trend should link back to sources and explain its coverage.
Development record
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
Place in Argand