laya
for ml engineers
Why this scored 73
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
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 guarantee7-day
~82
range 41–94
14-day
~85
range 41–99
30-day
~86
range 37–100
Signal history
7-day window (free)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.
- 172
convaiinnovations/laya (text-classification)
Laya offers transformer-based text classification with safetensors for fast inference. · for ml engineers
huggingfacePeaking 3 · layadata−6 saturated3d ago - 272
laya —
Laya product announced, details pending. · for founders
githubPeaking 3 · layaother−7 saturated2d ago - 347
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 - 434
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 - 533
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