// Optimize X/Twitter posts for maximum reach using algorithm insights. Use when writing tweets, improving post engagement, or analyzing why posts underperform.
| name | x-boost |
| description | Optimize X/Twitter posts for maximum reach using algorithm insights. Use when writing tweets, improving post engagement, or analyzing why posts underperform. |
Helps craft posts optimized for the X recommendation algorithm based on open-source algorithm analysis.
The algorithm predicts 19 engagement actions and combines them:
Positive signals (boost reach):
Negative signals (kill reach):
When asked to optimize a post or write for X:
The algorithm applies exponential decay to rapid posts from same author:
score = base_score ร decay^(post_count)
Recommendation: Space posts 2-4 hours apart for maximum individual reach.
Posts to followers rank higher than discovery posts. Build genuine following over chasing virality.
When reviewing a draft post, check:
Before:
Just launched my new product! Check it out at example.com
After:
I spent 6 months building something I wish existed 3 years ago.
The problem: [specific pain point]
The solution: [what you built]
Here's what surprised me most about the process:
[insight that invites discussion]
What's been your experience with [related topic]?
Why it's better: