Signalcrest
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webentity · corroborated across sources

pandas

for python devs

Steady

3

signal score

1

live items

Steady

7-day est. ~1

stackoverflow

Why this scored 3

every term, weighted
Velocity+0.0 / 40 max

Engagement per hour, normalized against the fastest item on its own source

Acceleration+0.0 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25 max

How many independent communities are talking about the same entity

Recency+5.3 / 10 max

Decays to zero over 14 days

Saturation penalty2.3 / 30 max

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite3.1

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. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~1

range 11

14-day

~0

range 00

30-day

~0

range 00

Signal history

7-day window (free)

— — projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 14

    How can I boxplot values that wrap around using matplotlib?

    Python plot issue — for data scientists

    stackoverflowdataSteady13d ago
  2. 24

    FastAPI returning "Out of range float values are not JSON compliant" with Pandas NaN values

    JSON compliance issue — for python devs

    stackoverflowwebSteady11d ago