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aientity · one source so far

gvs5h

for ml engineers, llm researchers

Steadyhackernews
Signal score
16
Live items
1
Trajectory
↓ Cooling
7-day est. ~9

Why this scored 16

every term, weighted
Velocity+0.0 / 40

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

Acceleration+11.3 / 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+8.0 / 10

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

Saturation penalty−2.9 / 30

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

Composite16.4

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

~9

range 0–20

14-day

~1

range 0–16

30-day

~0

range 0–19

Signal history

7-day window (free)
963

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.

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    29

    Five Qwen3.8-27B models match Fable 5 Using GVS5H Harness

    Qwen3.8-27B models achieve performance comparable to Fable 5 using the GVS5H harness. · for ml engineers, llm researchers

    hackernewsSteady 2 · qwen3.8-27bai2d ago