Download websites that use Rayo

About Rayo

A short, pronounceable word rarely belongs to one project for long, and Rayo carries at least two identities. Developers know the name from a minimal HTTP layer for Node.js aimed at raw request throughput, while the site recorded against this entry sits on an Iranian country domain and belongs to something else. Our detection matches a fingerprint left in markup, headers or bundled scripts, never a corporate identity, so the count here should be read as pages carrying that fingerprint rather than confirmed installations of any single project bearing the name.

The ambiguity matters more than it would for a hosted platform, because server side frameworks are close to invisible from the outside. A framework written in JavaScript does its work before a byte reaches the browser, and what survives into the response is incidental: a header nobody stripped, a default error page, a path convention, a generated asset name. As of October 2026 we see Rayo on 40 sites, and the number is a floor rather than an estimate. Any deployment behind a reverse proxy, a caching layer or a tidy production configuration disappears from view.

What the record does support is provenance of a sort. The project is published under MIT and dates from 2018, which places it in the wave of small, dependency light server libraries that followed the maturing of the Node ecosystem. Permissive licensing of that kind removes the commercial trail a researcher would otherwise follow, because nobody signs a contract to use it and no vendor publishes a customer list. Adoption evidence has to come from the open web or from nowhere.

For a researcher the useful question is not how many sites run it but which ones. Supply chain and security teams track small libraries precisely because a package with a modest install base still sits in the request path of every page it serves, and a name shared between unrelated products makes manual triage slow. A downloadable set turns triage into filtering. Pull the rows, intersect them with hosting, country code and coexisting front end tags, separate the plausible Node deployments from sites whose match came from the other product, and repeat the exercise against the next release to see whether the population moved. A per domain lookup answers whether one site matches. The export answers which population matches, and only the second form of the question supports a decision.