typesafe
for backend 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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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 · jevai46d 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 · jevai46d ago - 316
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
devtoSteadyai48d ago - 416
@ai-sdk/typesafe-ai — AI SDK integration for Typesafe AI
Provides a typed SDK for integrating AI services in the Typesafe ecosystem. · for backend engineers
npmSteadyai41d ago - 516
Typesafe AI raises $870M at $7.5B
Typesafe AI's $870M raise signals strong investor confidence in its AI platform. · for startup founders
hackernewsSteadybusiness26d ago - 615
foreman — An agent supervisor and software factory foreman powered by TypeSafe’s Jev model
Foreman, built on TypeSafe's Jev model, supervises agents in software factories. · for platform engineers
githubSteady 4 · jevdevtools−16 saturated46d ago - 713
awesome-jev-tools — A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
Curated Jev tool list and TypeSafe AI's System One model for typed decisions. · for web devs
githubSteady 3 · jevai−16 saturated45d ago - 88
awesome-jev — 1207 public resources for Jev, TypeSafe AI's System One decision model, indexed by decision pattern. Source citations, dated l
Curated list of 1,207 resources for Jev decision model aids research and implementation. · for ai researchers
githubSteady 2 · jevai−17 saturated38d ago - 98
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 · macosdevtools−17 saturated46d ago - 100
ollaya — Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decis
Runs decision models locally via a TypeSafe API, avoiding external calls. · for ml engineers, backend developers
githubSteadyai−17 saturated38d ago