ALGORITHM HACKS; How Platforms Decide What Gets Seen, & How To Work With Them Instead Of Fighting Them

ALGORITHM HACKS

How Platforms Decide What Gets Seen—and How to Work With Them Instead of Fighting Them

By Christopher J. Standish Jr.

Algorithms don’t reward effort—they reward engagement. This ebook breaks down how social platforms actually decide what content gets seen and why some posts take off while others disappear.

Algorithm Hacks explains how attention, retention, and interaction shape reach across major platforms like Instagram, TikTok, YouTube, X, and more. Instead of chasing outdated tricks or temporary trends, this book focuses on how algorithms read behavior and how creators can align their content with those signals.

Inside, you’ll learn why the first few seconds matter more than anything else, how watch time outperforms likes, why comments and saves extend reach, and how consistency trains the algorithm to trust your content. It also covers common myths like shadowbanning, the real role of hashtags, trend strategy, momentum building, and why emotion and clarity drive performance.

This ebook is built for creators, brands, and entrepreneurs who want predictable growth instead of guessing. No gimmicks. No shortcuts that stop working. Just a clear understanding of how algorithms think and how to work with them long-term.

When you stop fighting the algorithm and start training it, growth becomes intentional instead of accidental.