typesafe
for ml engineers
Why this scored 29
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
~92
range 46–100
14-day
~100
range 50–100
30-day
~100
range 44–100
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.
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How to Use Jev: A practical guide to TypeSafe's System One model
Guide shows how to apply Jev's System One model for type-safe AI pipelines. · for ml engineers, data scientists
devtoSteady 3 · jevai1d ago - 235
kicking the tires on jev (TypeSafe's System One model) with 2048
TypeSafe's System One model (jev) now supports 2048-token context for AI game applications. · for ml engineers
lobstersSteady 3 · jevai1d ago - 333
foreman — Software factory foreman based on TypeSafe's Jev model
Foreman provides a software factory based on TypeSafe's Jev model for automated pipelines. · for devops engineers, platform teams
githubSteady 3 · typesafedevtools17h ago - 427
typesafe-computer-use — Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
TypeSafe enables cheap, step-by-step screen OCR and action automation on macOS. · for platform engineers, automation developers
githubSteady 2 · typesafedevtools1d ago - 516
TypeSafe Jev Played Chess — And Landed Next to Reasoning Models
Shows TypeSafe Jev's chess performance near reasoning models, indicating progress in agent evaluation. · for AI engineers
devtoSteadyai3d ago