Can I trust the popularity signals when picking a project?

No. The digest warns signals come from four platforms and are not comparable, so treat them as popularity only and start from the evidence-picked examples instead.

How is this different from other Jev awesome-lists?

It covers Reddit, Hacker News, YouTube and blogs rather than GitHub alone, keeps critical results, and stores everything as data in data/entries.json.

Can I reuse the underlying data for my own analysis?

Yes. The digest says data/entries.json is the source of truth and the README is generated from it, so you can fork the data without scraping prose.

Does it cover Jev failures or only success stories?

Yes. It has a dedicated section for limits, failures and disappointing benchmarks, and welcomes negative results in every other section too.

How many entries are there, and where do they come from?

396 entries, 42 of them unproven, refreshed 2026-10-10 and split across 12 categories. Sources span GitHub 222, Reddit 102, YouTube 34, Hacker News 24 and blogs or web 56, so most first-hand reporting outside GitHub is included.

What is the data license, and how do I reuse it?

The data is CC0-1.0. data/entries.json is the source of truth and the README is generated from it, so you can fork the data and build your own view without scraping.

What signals does it show for each entry?

GitHub stars, Reddit or Hacker News points, YouTube views and likes. They come from four different platforms and are not comparable with each other, so treat them as a popularity reading rather than a quality score.

CommunityJev Guides & Articles

Jev In The Wild

Community index of Jev use cases, open-source projects, benchmarks and criticism, built from a JSON dataset spanning GitHub, Reddit, YouTube and blogs, with a section for failures.

See highlights

Open github.com

Stars: 7
Language: JavaScript
License: MIT
Published by: Community
Author: Jessie-QingYu
Last verified: Oct 2026

Jessie-QingYu/jev-in-the-wild

User repository on GitHub

View on GitHub

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.

Forks: 4
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

About this project

Real-world use cases, open-source projects, benchmarks and criticism of Jev, TypeSafe AI's System One model — what people actually build with it, and where it actually fails. Three things make this different from the other Jev lists: It is not only GitHub. 201 of the 396 entries are Reddit threads, Hacker News posts, YouTube evaluations and blog write-ups — where most of the first-hand reporting actually happens.

Quoted from the project's README. Read the full README.

Tagscommunity github

Works forJev for Evaluation

Used inJev for Software & DevTools

Languages: JavaScript

Highlights

Mixes code, reported use cases and critical analysis instead of only passing demos.
README is generated from data/entries.json so the dataset can be forked without scraping.
Keeps a dedicated section for limits, failures and disappointing benchmarks.
Groups entries into categories such as routing, extraction, guardrails and agent logic.

Watch out

A reading list and dataset, not a runnable tool; platform signals are a popularity reading, never a quality score. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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awesome-jev

Curated link collection of Jev projects across SDKs, integrations, agent tooling, apps, games, and benchmarks, grouped by section with official docs first.