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Sysone

Typed AI decisions in TypeScript. Zero dependencies.

Use Jev for yes/no checks, routing, filtering and ranking in TypeScript. Zero runtime dependencies, 3.9 kB min+gzip with all providers. Try the playground without an account, then copy working code. MIT licensed.

Top comment

I built Sysone to make small AI decisions easier to use in TypeScript: does this need a reply, which team should handle it, which retrieved passages are relevant? The library keeps the probability and gives yes/no checks an explicit uncertain state. Several independent questions about the same input fit into one evaluate() request. Collection operations make one request per item. It has zero runtime dependencies and is 3.9 kB min+gzip including all providers. Provider and model are separate: Jev works through TypeSafe or Vercel AI Gateway, with an experimental adapter for compatible self-hosted endpoints. The site has a shared Jev playground, copyable examples and an executable native-fetch comparison. The library is MIT licensed. Version 0.5.0 is available as a GitHub release; npm registry publication is still pending. Which real decision would you try it on?

About Sysone on Product Hunt

Typed AI decisions in TypeScript. Zero dependencies.

Sysone was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #118 on the daily leaderboard. Use Jev for yes/no checks, routing, filtering and ranking in TypeScript. Zero runtime dependencies, 3.9 kB min+gzip with all providers. Try the playground without an account, then copy working code. MIT licensed.

On the analytics side, Sysone competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Sysone performed against the three products that launched closest to it on the same day.

Who hunted Sysone?

Sysone was hunted by Guilherme. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Sysone including community comment highlights and product details, visit the product overview.