ollaya
for ml engineers, backend developers
Why this scored 28
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
~0
range 0–21
14-day
~0
range 0–25
30-day
~0
range 0–33
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.
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Ollaya – Ollama for open-source, Jev-style decision models
Open-source Ollama fork adding Jev-style decision models for AI workflows. · for ai engineers, ml ops
hackernewsSteady 2 · ollayaai3d ago - 224
ollaya — Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decis
Runs decision models locally via a TypeSafe API, avoiding external calls. · for ml engineers, backend developers
githubSteadyai−6 saturated1d ago