prism
for dev engineers
Why this scored 0
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
Signal history
7-day window (free)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.
- 112
PRISM: Powerful Time Series to Image (TS2I) Representations for Multivariate Anomaly Detection
Detects anomalies · for data scientists
arxivSteady 2 · prismai41d ago - 210
PRISM: Distribution-Gated Flow Matching for Controllable Unpaired Image Translation
Image translation model · for computer vision devs
arxivSteadyai39d ago - 37
@arnilo/prism-compaction-llm — LLM-backed compaction strategy package for Prism.
LLM compaction strategy · for dev engineers
npmSteadydevtools−10 saturated47d ago