Smashing Magazine
smashingmagazine.com
In-depth articles for web designers and developers, written by practitioners.
OpportunityEditorial + sponsoredRouteSubmission formContactPublisher page
How to pitch
Submission form
Articles must be original, technically deep, and aimed at practitioners, with a clear title, subtitle, and at least one strong visual. Cite sources and credit data. Topics span machine learning, AI engineering, data engineering, data science, programming, and industry or career coverage. Submissions go through an editorial review for technical accuracy, clarity, and relevance.
Read the publisher instructionsCosts and conditions
Free to submit. Authors can apply to the Author Payment Program and earn money from published articles based on reader engagement.
- Link attribute
- Nofollow
- Review time
- Within 1 week, usually faster
Publisher source
The route and terms above were recorded from the publisher page. Source checks may be automated. Always check the publisher page for changes before sending a pitch.
https://towardsdatascience.com/submissions/Reviewer notePayment is through an opt-in program and varies with reader engagement, not a flat per-article rate. High editorial bar and strong competition for placement.
Last source check: 9 Oct 2026. Due for re-check.
About the publication
Towards Data Science publishes original, practitioner-written articles on data science, machine learning, AI engineering, data engineering, and analytics. It reaches a large professional audience through search, its homepage, newsletter, and social channels.