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Guest Authors wanted (app development) (worldwide) | $300 per article

Added 2022-12-13 16:36:47 +0000 UTC

COMPANY/PUBLICATION: CUBE

Cube.js is an open-source technology that empowers developers to build analytical apps.**

It allows you to run an analytical API on top of any SQL-compatible database in minutes and create apps like these that work fast and look however you want:

Cube.js Guest Authors program provides a paid opportunity to write developer content about analytical apps, data visualization, and data engineering.

Many developers are interested in building apps with Cube.js. We have ~10k stars on GitHub and ~3k developers in our community Slack.

We want to help these developers succeed with Cube.js and attract even more with developer-friendly content: blog posts, tutorials, and code examples.

You can see a few examples of existing content in our blog on DEV.

We're mostly interested in content from these domains:

data visualization and front-end technologies
data engineering and back-end technologies
building analytical apps

That's why we invite passionate developers to become guest authors and a paid basis.

HOW IT WORKS

Ping us. If you're interested in becoming a guest author, drop an email to igor@cube.dev. Feel free to tell a bit about your programming background and include links to developer content you've written. We'll be happy to talk.
Pick a topic. We'll help you choose a topic from relevant domains that matches your background and has the potential to reach a wide audience. (We're interested in original content that hasn't been published elsewhere.)
Write a draft. We'll be happy to advise you before you start writing. We will provide detailed feedback on your draft until it's ready to be published.
Get published. We will publish and promote your content to help it reach the audience. We will publish it under your name and help you get recognition.
Be rewarded. We pay US $ 300 per published content piece.

EXAMPLE TOPICS

We're focused on content that helps developers build analytical apps from select domains. Here's how we break down these domains into smaller topics:

data visualization and front-end technologies

data visualization tools on front-end
frontend frameworks
data visualizatios apps and primitives
data visualization user cases

data engineering and back-end technologies

databases
data processing
data modeling
OLAP

BIHere's also a spreadsheet matching these topics to existing content.

CONTACT INFORMATION:

Questions/applications: igor@cube.dev (subject: Guest Author)

Website: https://cube.dev/

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