The AI demo failed, but the database remembered half of it
AI demo failure reveals partial data persistence, stressing robust DB design.
Steady35
signal score
as of 3d ago
🔗 3
sources · postgres
↑ Accelerating
7-day est. ~46
Why this scored 35
every term, weightedEngagement gained per hour since the last capture, against the fastest item on its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities are talking about the same entity
Decays to zero over 14 days
Subtracted once something is big and old — we rank what's next, not what's peaked
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Outlook
low confidence · estimate, not a guarantee7-day
~46
range 9–58
14-day
~49
range 9–63
30-day
~50
range 6–69
Signal history
7-day window (free)— — projected trajectory (estimate, not a guarantee)
Entities
Embed a live signal badge
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