Pitch a story

Data Phoenix runs on writing from practitioners. If you have something worth saying to an audience of AI and data engineers, researchers, and founders, pitch it — you don't need to be a journalist or have published before.

What we're looking for

• Technical depth. Deep dives, architecture walk-throughs, benchmarks, post-mortems, and "how we built it / why it broke" pieces.
• A real claim. Tell us what you learned or what you're arguing, not just the topic area.
• Evidence. Code, numbers, traces, or first-hand experience. We'd rather publish one honest result than ten confident opinions.
• Timeliness or durability. Either it matters right now, or it'll still be useful in a year.

What we pass on

• Product marketing dressed up as a tutorial.
• Summaries of announcements anyone can read on the source's blog.
• Generic "top 10 tools" listicles with no point of view.

How to pitch

Send a short note — a paragraph or two — covering the idea, why it matters now, and why you're the right person to write it. A rough outline is more useful than a polished draft at this stage; it lets us shape the angle together before you invest the time. We try to respond to every serious pitch.

Working with our editors

Accepted pitches get an editor who works with you on structure, clarity, and accuracy. We fact-check claims and we'll ask for sources. We don't change your conclusions — if we disagree, we argue it out with you rather than around you. Everything we publish follows our editorial standards and Code of Conduct.

The fastest way to reach us is the contact page. Tell us what you have in a line or two and we'll point you to the right person.