Live analytics over every story the pipeline has collected — stored in Neon Postgres, analyzed by the Signal Engine. ← back to the app
Type any topic. It searches every stored story by meaning, then gives a precedent-based outlook — what has typically followed, with a confidence scored from the evidence.
Stories captured per day across the tracked window.
Where the coverage concentrates.
How serious the captured news is.
Severity × urgency × volume, 0–100 (Signal Engine).
Escalating or cooling vs. each desk's own history (z-score).
Pairs of desks active on the same days — the connect-the-dots signal.