About Skale Cube
Most marketing advice online has never actually been tested by the person writing it.
That is the gap we built Skale Cube to close. We don't publish anything we haven't run ourselves. Every guide, every workflow, and every number on this site comes from work that is actually done, usually with the screenshots and raw data to back it up.
For example....
Between us, we have grown a newsletter to 1000s of subscribers, and run technical blogs that reach lakhs of readers a month.
Skale Cube is where we write down exactly how
We are an independent marketing team that publishes evidence-based research, in-depth case studies, practical tutorials, experiments, and thoughtful analysis for the AI marketing era.
Our goal is to help marketers make better decisions by replacing assumptions with data, experiments, and real-world insights.
Who is Behind This?
Skale Cube is run by Bibin Wilson and Aljin Vijayan.
Bibin has spent 16 years building content and audiences in one of the most competitive corners of the internet. He runs a website that reaches 100k+ engineers a month.
Aljin works at the intersection of AI-driven digital marketing, and has spent 3+ years in marketing, did many experiments during this time period.
They saw a growing gap between the amount of marketing content available online and the quality of that information.
Too much content focused on quick wins, while very little explained why something worked, when it worked, or whether it still works today.
They started Skale Cube in July 2026 to showcase real-world marketing strategies, working AI systems, and practical automations that deliver measurable results.
Rather than chasing daily trends or publishing content at scale. Skale Cube is what we wished existed when we started our own marketing journey, a place where curiosity is encouraged, evidence comes first, and every insight is tested before it's shared.'
Here is what we refuse to do:
- We don't chase daily trends.
- We don't hide our failures. If something doesn't work, we say so. Sometimes, failed experiments teach more than successful ones.
- We don't create content for algorithms. If it doesn't help a real marketer solve a real problem, we don't publish it.
What You Will Find Here
Research and case studies for the AI marketing era, with the evidence attached. Tutorials that walk the full build instead of the highlight reel. And plain, practical guides on putting AI to work, the automations, workflows, and agents that genuinely save time and scale.
We also publish long-form video on YouTube, walking through these same systems on screen so you can watch exactly how they run before you build your own.