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:
- web-analytics-demo.cube.dev
- real-time-dashboard-demo.cube.dev
- mapbox-demo.cube.dev
- clickhouse-dashboard-demo.cube.dev
- nftbank.ai
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.
https://dev.to/cubejs
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.
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
Questions/applications: igor@cube.dev (subject: Guest Author)
Website: https://cube.dev/