Skip to content
Signalcrest
Back to entity feed
aientity · one source so far

wevisonevl

for computer vision researchers, AI engineers

Steadygithub
Signal score
14
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 14

every term, weighted
Velocity+4.8 / 40

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

Acceleration+13.9 / 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+4.7 / 10

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

Saturation penalty−9.0 / 30

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

Composite14.4

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

Signal history

7-day window (free)
814

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
    4

    WeVisOne-VL — WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from poin

    VLM combines object-level and pixel-level perception for vision tasks. · for computer vision researchers, AI engineers

    githubSteadyai−15 saturated7d ago