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aientity · one source so far

sonnet

for prompt engineers, AI product developers

Emergingdevto
Signal score
38
Live items
1
Trajectory
→ Steady
7-day est. ~3

Why this scored 38

every term, weighted
Velocity+14.1 / 40

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

Acceleration+25.0 / 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+3.2 / 10

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

Saturation penalty−4.7 / 30

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

Composite37.6

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

~3

range 0–14

14-day

~0

range 0–14

30-day

~0

range 0–19

Signal history

7-day window (free)
338

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
    48

    Same prompt, four models: what Opus, Sonnet, Astra and Sol each got wrong

    Compares mistakes of four AI models to inform prompt engineering choices. · for prompt engineers, AI product developers

    devtoHeatingai2h ago
  2. 2
    15

    Sonnet 5.5

    Sonnet releases version 5.5, potentially affecting external storage and GPU enclosure choices. · for hardware engineers

    hackernewsSteadyhardware9d ago