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

laya

for ml engineers

Peakinggithubhackernewshuggingface
Signal score
73
Sources
3
independent communities
Live items
4
Trajectory
Accelerating
7-day est. ~82

Why this scored 73

every term, weighted
Velocity+40.0 / 40

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

Acceleration+14.1 / 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 penalty5.3 / 30

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

Composite73.3

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

~82

range 4194

14-day

~85

range 4199

30-day

~86

range 37100

Signal history

7-day window (free)
2491

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
    72

    convaiinnovations/laya (text-classification)

    Laya offers transformer-based text classification with safetensors for fast inference. · for ml engineers

    huggingfacePeaking 3 · layadata6 saturated3d ago
  2. 2
    72

    laya —

    Laya product announced, details pending. · for founders

    githubPeaking 3 · layaother7 saturated2d ago
  3. 3
    47

    laya-mlx — Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.

    laya-mlx provides native MLX inference on Apple silicon for low-latency decision models. · for mobile ML engineers

    githubSteady 3 · layaai1d ago
  4. 4
    34

    Laya on Mac M4 CoreML Offline

    Laya runs offline on Mac M4 using CoreML, enabling local inference without cloud. · for mobile AI engineers

    hackernewsSteady 3 · layaai1d ago
  5. 5
    33

    Laya — 33ms Multilingual System 1 Decision Engine

    Laya delivers a 33 ms multilingual decision engine for real-time AI systems. · for ML engineers

    lobstersSteady 3 · layaai2d ago