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jev-in-the-wild

Daily-updated, data-driven index of real Jev use cases, projects, benchmarks and criticism across GitHub, Reddit, HN and YouTube.

Benchmarkproduction

This repository is mostly documentation or write-up rather than runnable code.

Overview

Jev in the wild is an index of real-world Jev use cases, open-source projects, benchmarks and criticism. It differs from other lists in three ways: about half of its 419 entries are Reddit threads, Hacker News posts, YouTube evaluations and blog write-ups rather than GitHub repositories; it has a dedicated section on where Jev struggles and welcomes negative results throughout; and the README is generated from a JSON data file with a schema that others can fork.

Categories span classification and routing, extraction and scoring, guardrails, agent logic, real-time and games, benchmarks, pricing and access, models and research, SDKs, editor and app integrations, and open imitations and local models. A live tracker on a personal instance shows every candidate the daily scan found, while the repository is the durable copy. It is not affiliated with TypeSafe and not exhaustive.

What the decision model decides

TypeQuestionAnswers
OtherNot applicable: curated index(inferred)—

How it works

  1. Daily scan finds candidate mentions
  2. Curate entries into JSON with a schema
  3. Generate the README from data
  4. Publish the tracker and repository

Strengths

  • Includes criticism and failures
  • Covers non-GitHub sources
  • Machine-readable data

Caveats

  • Tracker runs on a personal instance
  • Not exhaustive

Getting started

Read data/entries.json or browse the README sections.

At a glance

Type
Benchmark
Status
production
Runtime
Generated README with JSON data
Has code
yes

Use cases and integrations

How curated lists describe it

  • Real-world Jev use cases, open-source projects, benchmarks and criticism — what…

    wh000wh000/awesome-jev-live
  • Index covering Reddit, Hacker News and YouTube alongside GitHub, with a dedicated section for limits and failed results. Data is JSON with a schema; the README is generated from it.

    cobanov/awesome-jev
  • Real-world Jev use cases, open-source projects, benchmarks and criticism — what people actually build with TypeSafe AI's Jev, and where it fails. Machine-readable, updated daily.

    hellogumbo/awesome-jev

Frequently asked questions

How is it different from awesome lists?

It includes non-GitHub sources and a section on where Jev struggles.

Is the data reusable?

Yes, entries are in JSON with a schema.

How often is it updated?

Daily, per the list summary.

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