edge0
for ml engineers, AI product teams
Why this scored 69
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
~71
range 16–96
14-day
~75
range 14–100
30-day
~77
range 6–100
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.
- 167
Edge0/Edge0-35B-A3B-preview (text-generation)
New Edge0 35B preview model with MoE architecture released for text generation. · for ml engineers, AI product teams
huggingfacePeaking 2 · edge0ai−7 saturated1d ago - 249
Edge0 —
Edge0 release may affect compatibility or performance considerations for developers. · for web devs
githubSteady 2 · edge0other−7 saturated3d ago