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aientity · one source so far

claude opus

for AI devs, ML engineers

Steadydevto
Signal score
4
Live items
1
Trajectory
Cooling
7-day est. ~0

Why this scored 4

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+10.3 / 25

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

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty6.0 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite4.3

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity'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 guarantee

7-day

~0

range 012

14-day

~0

range 014

30-day

~0

range 019

Signal history

7-day window (free)
059

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. 1
    18

    Can Qwen 3.8 running on your laptop really replace Claude Opus for Agentic coding?

    Evaluates if the local Qwen 3.8 model can match Claude Opus for autonomous coding tasks. · for AI devs, ML engineers

    devtoSteadyai1d ago
  2. 2
    10

    Elevated errors on Claude Opus 5

    Claude Opus errors elevated · for hardware engineers

    hackernewsSteadyhardware47d ago