We built Velora to solve our own problem

The Origin Story

Velora started with a simple problem: we couldn't keep up with the news cycle.

We run Velora Cycling, a professional cycling news site. During major races like the Tour de France, there are dozens of stories breaking every day — stage results, crashes, team news, contract rumours, race analysis.

Missing a story means losing traffic to competitors. But hiring enough writers to cover everything 24/7 wasn't feasible for a bootstrapped site.

The Solution

We started building internal tools. RSS monitors to catch breaking news. AI drafts to get a head start on articles. Automated research to fill in context.

What began as hacky scripts evolved into a proper system. Today, Velora Cycling publishes 8+ articles daily, with AI handling the first draft and humans doing the final review.

The result: 700k monthly sessions, a fraction of the editorial cost, and we never miss a story.

Opening It Up

Other publishers face the same problem. Content is a grind. Hiring is expensive. AI can help — if you build the right system around it.

That's why we're opening Velora to other publishers. The same tools that power our cycling site, packaged for any WordPress site in any niche.

Our Approach

We believe AI should augment human editors, not replace them.

Velora creates drafts, not finished articles. It removes repetitive work – monitoring, research, structuring, and first drafts – so editors can focus on judgment, accuracy, and voice.

Velora is designed around supervised systems. Research, drafting, and reuse happen automatically, but editorial decisions remain human. The goal isn't automation for its own sake – it's consistency, speed, and editorial confidence at scale.