The story behind the signal

About Most Read News

The first data-driven news longevity aggregator.

Our Mission

Most Read News exists so that keeping up with the news doesn't depend on being online at the right moment. Every publication we track already publishes a ranking made by its own readers, and those rankings turn over hour by hour, leaving nothing behind. We record them continuously, so a story that drew readers last Tuesday, or last quarter, stays as easy to find as today's front page.

What we don't do is decide which of those stories matters. The ordering belongs to the readers; our part is to keep the record and make it worth browsing.

How It Works

How We Rank News

Our backend engine employs a continuous sampling architecture that monitors the most-read lists of major newsrooms and specialist publications. Unlike standard aggregators that rely on social media engagement or editorial selection, our algorithm tracks the lifespan of an article's prominence.

By calculating the duration and position of a headline across multiple observation windows, we generate a proprietary Popularity Score. Both how long a story stays and how high it climbs count, and position weighs heavily: an hour at the top of a list is worth many times an hour at the foot of it, so a short spell at #1 can outrank a long, low run. It is a measure of where readers kept a story, not a judgment about which story was worth reading.

Article categorization and tagging is assisted by a language model; ranking itself is never touched by AI or human editors.

The full Methodology documents the definitions, collection process, reconstruction rules, scoring inputs, and known limitations.

Transparency & Sources

We prioritize reputable, high-standard journalism and collect only the public rankings publishers build from their readers' clicks. The live Sources & Authors directory lists the sources currently included and the journalists attracting sustained reader attention.

Our Standards & Accountability page explains who is responsible for the site, how it is funded, which lists we record and what publishers call them, and how rankings are kept independent.

Lead Engineer

Most Read News was built by Rene Roost out of a personal necessity. As a full-stack engineer, Rene found that staying genuinely informed required checking the front pages of multiple news sources at least three times a day. It was a repetitive, inefficient process.

Rene developed this platform to automate that cycle. By continuously tracking article longevity and popularity, the system captures the stories that commanded the most reader attention, so you can catch up on them even if you only check the news once a week.

Contact Us

Found an error in our data, rankings, or analysis? Our Corrections & Data-Error Policy explains what to include and how reports are reviewed.

This drafts an email in your own mail client—nothing is sent to or stored on our servers. Our Privacy Policy explains how correspondence and other personal data are handled.