inkling
for ai researchers, ml 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.
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Inkling: Our Open-Weights Model
Open-weights model · for ai devs
hackernewsSteady 2 · inklingai57d ago - 29
Inkling – Open-Weights 975B Parameter LLM
Large LLM model released · for ai researchers
hackernewsSteady 2 · inklingai57d ago - 30
thinkingmachines/Inkling-NVFP4 (image-text-to-text)
image text model · for ai researchers
huggingfaceSteadyai−7 saturated52d ago - 40
unsloth/inkling-GGUF (image-text-to-text)
New image-text model · for ai researchers, dev teams
huggingfaceSteadyai−8 saturated56d ago - 50
thinkingmachines/Inkling (image-text-to-text)
New image-text model · for ai researchers, dev teams
huggingfaceSteadyai−19 saturated57d ago - 60
thinkingmachines/Inkling-Small (image-text-to-text)
New image-text model available · for ai researchers, ml engineers
huggingfaceSteadyai−14 saturated42d ago