desbordante
for data scientists
Steady10
signal score
2
live items
⏳ Too early
trajectory — needs a few more snapshots
Why this scored 10
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. 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.
- 19
Extending Desbordante with Probabilistic Functional Dependency Discovery Support
Enhances dependency discovery — for data scientists
arxivaiSteady2d ago - 29
Order in Desbordante: Techniques for Efficient Implementation of Order Dependency Discovery Algorithms
Optimizes order dependency discovery — for data scientists
arxivaiSteady2d ago