Skip to content
Signalcrest
Back to entity feed
aientity · corroborated across 3 sources

jev

for ml engineers, data scientists

Steadydevtohackernewslobsters
Signal score
32
Sources
3
independent communities
Live items
3
Trajectory
Cooling
7-day est. ~0

Why this scored 32

every term, weighted
Velocity+0.0 / 40

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

Acceleration+10.0 / 25

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

Cross-source spread+16.7 / 25

How many independent communities its own items come from

Recency+7.8 / 10

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

Saturation penalty2.9 / 30

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

Composite31.5

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 024

14-day

~0

range 029

30-day

~0

range 039

Signal history

7-day window (free)
069

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
    34

    Introducing System One Models & Jev

    Launches new AI models, giving developers fresh capabilities for integration. · for ml engineers, data scientists

    lobstersSteady 3 · jevai21h ago
  2. 2
    34

    Reverse-engineered Jev-like model

    A reverse-engineered Jev-like model could inform similar implementations. · for ml engineers

    hackernewsSteady 3 · jevother1d ago
  3. 3
    33

    Introducing System One Models and Jev

    New System One models and Jev aim to simplify AI integration for developers. · for ml engineers, founders

    hackernewsSteady 3 · jevai3d ago
  4. 4
    31

    Jev vs Claude: Who Wins?

    Jev vs Claude comparison helps teams pick the right LLM for TypeScript workloads. · for ML engineers, dev leads

    devtoCooling 3 · jevai10h ago