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Across nine Jev directory README files, the author counted 1,186 distinct repository addresses after removing duplicate URLs and other directory listings. That is a map of links found under one selection method—not a count of finished apps, Jev users, or projects shown to work. The examples are most useful for seeing the kinds of decisions developers hand to Jev, and how surrounding software acts on those decisions.

What the nine-list survey covers

In a September 21, 2026 article, Shin0221 gathered repository links from nine Jev directory README files and reported 1,186 different repository addresses after cleaning up repeated URLs and other directory listings. The count describes addresses in that survey. It does not establish how many complete applications exist: a renamed project may have more than one address, and a directory entry may represent something other than a finished application.

The scope is deliberately narrower than every project or mention of Jev online. Li-Evan’s separately maintained community gallery describes a collection of 3,398 projects, demos, posts, and write-ups from GitHub, X, Reddit, Hacker News, YouTube, and the web. That broader collection uses a different scope and should not be added to, or compared as though it were part of, the nine-README count. Shin0221’s survey and Li-Evan’s gallery describe their respective collections.

What are people using it for?

The examples point to a recurring role: Jev supplies a typed decision that another part of the application can use. The decision might be which button to choose, how relevant a document is, or which model should handle a request. Jev is not necessarily the whole workflow. The surrounding software still needs to take the result and perform the next action.

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Choosing an option

A choice task narrows a set of possible actions to one selection. The community gallery describes its Choice primitive as selecting one option. In an application, code can then use that selection to determine which button or route to activate.

Scoring relevance

A relevance task evaluates an item against a question or need, then returns a score that the application can use to sort, filter, or prioritize. The gallery describes Score as placing an item on an ordered scale. That distinction matters: a score can guide the next step without itself writing an explanation for a person.

Routing a request

A routing task decides which model or path should receive a request. Once Jev returns the decision, the application is responsible for dispatching the request and handling the result. If the workflow also needs a written notification or other prose, a text-generating model may be used for that separate job; the decision and the prose are different tasks.

Choice, Score, and Noul are descriptions provided by the community gallery, which says Noul returns a probability that a statement is true. Treat these as the gallery’s account of the primitives, rather than as an independent technical specification. The gallery’s project and primitive descriptions provide that context.

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How to read the directory entries

A listing is a lead to investigate, not proof of adoption or quality. Shin0221 explicitly cautions that a project appearing in several lists does not mean several people tested it; appearing once does not make it unimportant. Repetition can reflect how directories are assembled, not how well a project works.

Categories also resist simple comparison. The survey notes that one directory’s “SDKs and clients” section includes a Snake game and an email app. That is a reminder that list maintainers may classify projects differently, or use broad labels that mix libraries and end-user applications. Category totals are not meaningful unless the categories and counting method are explained.

To assess an individual entry, look past its position or repetition and examine what evidence accompanies it:

  • Project description: Does it explain the decision Jev makes and what the application does with the result?
  • Source repository: Can you inspect the implementation, license, and recent activity directly? Directory presence alone does not establish any of these.
  • Runnable demo: A demo can help show the intended flow, but it is not by itself an independent evaluation.
  • Independent evaluation: Look for testing or other evidence beyond the directory entry if you need to know how reliably the project performs.

System One Models’ index lists nine roundups—seven GitHub lists and two websites—and warns that lists differ in maintenance and freshness. A separate catalog by heyjunpenn calls itself a 981-repository snapshot and tells readers to verify upstream behavior, activity, and licensing. These are additional directories with their own scopes, not substitutes for checking a project’s original repository. System One Models’ index and heyjunpenn’s catalog make those limits explicit.

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What the counts can—and cannot—tell you

Figure or signal What it describes What it does not establish
1,186 distinct repository addresses Shin0221’s count after removing repeated URLs and other directory listings from links gathered from nine README files, reported September 21, 2026. A count of finished applications, active users, tested projects, or unique projects independent of repository renames.
3,398 collected items Li-Evan’s gallery’s self-described collection of projects, demos, posts, and write-ups from GitHub, X, Reddit, Hacker News, YouTube, and the web. A directly comparable count of repository addresses from the nine-list survey.
Repeated directory appearances Evidence that a listing appears in more than one directory, subject to how those directories are maintained. Independent testing, adoption, importance, quality, or successful operation.

Use directory lists to discover examples and compare the kind of decision a project automates, the workflow that consumes the result, and the evidence available for that specific entry. Neither collection total measures how many people use Jev or proves that listed projects work as described.

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