Signalcrest
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devtoolsentity · corroborated across sources

numba

for python devs

Steady

6

signal score

1

live items

Cooling

7-day est. ~0

stackoverflow

Why this scored 6

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+7.2 / 10 max

Decays to zero over 14 days

Saturation penalty1.1 / 30 max

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

Composite6.2

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

medium confidence · estimate, not a guarantee

7-day

~0

range 01

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. 15

    Can Numba be used on a for loop without using a function?

    Numba optimization — for python devs

    stackoverflowdevtoolsSteady3d ago