pyright
for python developers, type-checking engineers
Steady59
signal score
2
live items
↓ Cooling
7-day est. ~12
Why this scored 59
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
~12
range 0–24
14-day
~4
range 0–18
30-day
~0
range 0–3
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.
- 159
Why does the typing break when I split one operation into two?
Discusses a Python typing issue when splitting operations, affecting type-checking reliability. — for python developers, type-checking engineers
stackoverflowdevtoolsSteady21h ago - 218
Coercing pyright to understand non-None Optional values
Guide to make Pyright recognize non-None Optional types in Python code. — for python developers
stackoverflowdevtoolsSteady2d ago