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aientity · corroborated across 2 sources

typesafe

for ml engineers

Steadygithublobsters
Signal score
29
Sources
2
independent communities
Live items
2
Trajectory
Accelerating
7-day est. ~92

Why this scored 29

every term, weighted
Velocity+0.5 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+11.7 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+12.5 / 25

How many independent communities its own items come from

Recency+7.8 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty3.6 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite29.0

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 guarantee

7-day

~92

range 46100

14-day

~100

range 50100

30-day

~100

range 44100

Signal history

7-day window (free)
1092

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.

  1. 1
    42

    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
  2. 2
    35

    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
  3. 3
    33

    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
  4. 4
    27

    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
  5. 5
    16

    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