qwen3.8-27bdflash2
for ml engineers
Steady11
signal score
as of 1d ago
1
live items
↓ Cooling
7-day est. ~0
Why this scored 11
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
medium confidence · estimate, not a guarantee7-day
~0
range 0–11
14-day
~0
range 0–0
30-day
~0
range 0–0
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.
- 17
incoai/Qwen3.8-27B-DFlash2 (text-generation)
Introduces the Qwen 3.8-27B model with DFlash2 for efficient text generation. — for LLM developers
huggingfaceaiSteady−9 saturated4d ago - 22
z-lab/Qwen3.8-27B-DFlash2 (text-generation)
New Qwen 3.8B model released with DFlash2 acceleration for faster text generation. — for ml engineers
huggingfaceaiSteady−12 saturated7d ago