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devtoolsentity · one source so far

jev

for platform engineers, devops teams

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Signal score
0
as of 12d ago
Live items
1
Trajectory
⏳ Too early
needs a few more snapshots

Why this scored 0

every term, weighted
Velocity+0.0 / 40

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

Acceleration+12.4 / 25

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

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+0.0 / 10

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

Saturation penalty−16.6 / 30

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

Composite-4.2 → clamped to 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

Signal history

7-day window (free)
Not enough history yet — the trend line fills in as snapshots accrue (every 30 min).

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
    51

    Decision models like Jev don't beat LLM-as-a-judge or traditional classifiers

    Jev decision models lag behind LLM judges and classic classifiers, limiting their utility. · for AI engineers, ML researchers

    hackernewsHeating 3 · jevai28d ago
  2. 2
    49

    Jev-powered autocorrection

    Jev library provides autocorrection in editors, reducing manual text-processing effort. · for editor plugin developers, devs

    lobstersSteady 4 · jevdevtools41d ago
  3. 3
    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 · jevai44d ago
  4. 4
    41

    Jev After Eight Days of Independent Tests: Level With Mid-Price LLMs, Behind the Frontier

    Jev matches mid-price LLMs but trails leading models, indicating competitive performance limits. · for ml engineers, ai researchers

    devtoSteady 4 · jevai39d ago
  5. 5
    39

    Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences

    Jev evaluates semantic choices for scientific decision-making. · for scientific researchers

    arxivSteady 5 · jevscience41d ago
  6. 6
    39

    Decision-Oriented Recommendation Reranking: An Empirical Study of Jev

    Study shows Jev improves recommendation reranking accuracy. · for recommendation engineers

    arxivSteady 5 · jevai32d ago
  7. 7
    38

    I Put Jev Behind a TLA+ Spec and Ran 1,680 Chaos-Tested Pharmacy Decisions. Zero Wrong Verdicts.

    TLA+ verification shows Jev makes zero wrong pharmacy decisions in chaos tests. · for reliability engineers

    devtoSteady 5 · jevdevtools44d ago
  8. 8
    37

    Jev in Medicine: A Benchmark Evaluation. Preliminary Results

    Benchmarks the Jev model for medical applications with preliminary results. · for medical AI researchers

    arxivSteady 4 · jevscience34d ago
  9. 9
    37

    Same Scores, Different Decisions: Evaluating JEV and Language Models for Legal Document Understanding

    Compares JEV and LLMs on legal documents, highlighting decision differences. · for legal tech developers

    arxivSteady 5 · jevai39d ago
  10. 10
    37

    Language models for text classification: From bag-of-words to Jev

    Introduces Jev model for text classification, offering a new approach beyond bag-of-words. · for ml engineers, data scientists

    hackernewsSteady 4 · jevai33d ago
  11. 11
    35

    A single function Jev-like wrapper for LLMs, including vision models

    Provides a minimal wrapper to call LLMs and vision models with a single function. · for AI integration engineers

    hackernewsSteady 3 · jevai37d ago
  12. 12
    35

    I turned Jev into a (lousy) chatbot

    Converted the Jev library into a basic chatbot, demonstrating rapid prototyping of conversational agents. · for devs experimenting with LLMs

    hackernewsSteady 4 · jevai42d ago
  13. 13
    35

    Valid Schema, Wrong Content: Using Jev to Guard a Google ADK Agent

    Jev validates schemas but cannot ensure content correctness for Google ADK agents. · for cloud engineers

    devtoSteady 2 · jevdevtools44d ago
  14. 14
    35

    This week I made a mutual-aid app using Sanity and Jev

    Shows how to build a mutual-aid app using Sanity CMS and Jev library. · for full-stack developers

    devtoSteady 3 · jevdevtools31d ago
  15. 15
    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 · jevai44d ago
  16. 16
    35

    Introducing System One Models & Jev

    Launches new AI models, giving developers fresh capabilities for integration. · for ml engineers, data scientists

    lobstersSteady 3 · jevai46d ago
  17. 17
    35

    Jev vs Claude: Who Wins?

    Jev vs Claude comparison helps teams pick the right LLM for TypeScript workloads. · for ML engineers, dev leads

    devtoSteady 3 · jevai45d ago
  18. 18
    35

    JEV vs. LLMs as Rubric Judges: Cheaper, Faster, and Wrong in the Same Places

    Compares Jev and LLMs as rubric judges, noting speed and cost trade-offs. · for ml evaluators

    arxivSteady 4 · jevai38d ago
  19. 19
    34

    How to Moderate Live Chat in Real Time with Jev and Composio (Discord + Twitch)

    Shows how to add real-time moderation using Jev and Composio for chat streams. · for platform engineers, community managers

    devtoSteady 3 · jevai33d ago
  20. 20
    33

    Turning GLM-5.3-Flash into a Jev-like decision model

    Adapts GLM-5.3-Flash for decision modeling, useful for ML engineers building inference pipelines. · for ml engineers, ai product teams

    hackernewsSteady 3 · jevai36d ago