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.

X Post Optimizer

Helps craft posts optimized for the X recommendation algorithm based on open-source algorithm analysis.

How the Algorithm Scores Posts

The algorithm predicts 19 engagement actions and combines them:

Positive signals (boost reach):

• Likes, Replies, Retweets, Quotes
• Dwell time (time spent reading)
• Profile clicks, Follows from post
• Shares (DM, copy link)
• Video quality views, Photo expands

Negative signals (kill reach):

• "Not interested" clicks
• Blocks, Mutes, Reports

Instructions

When asked to optimize a post or write for X:

1. Hook First

• Lead with the most compelling point
• Stop the scroll in first 5 words
• Use pattern interrupts

2. Maximize Dwell Time

• Add depth that rewards reading
• Use line breaks for scanability
• Include images/videos that make people pause

3. Encourage Replies

• End with questions
• Make takes that invite discussion
• Leave threads open-ended

4. Avoid Author Penalty

The algorithm applies exponential decay to rapid posts from same author:

score = base_score × decay^(post_count)

Recommendation: Space posts 2-4 hours apart for maximum individual reach.

5. Leverage In-Network Advantage

Posts to followers rank higher than discovery posts. Build genuine following over chasing virality.

Quick Checklist

When reviewing a draft post, check:

• Hook in first line?
• Rewards reading (dwell time)?
• Invites replies?
• No spam/repetitive content?
• Authentic voice (not engagement bait)?
• Appropriate timing from last post?

What Doesn't Work

• Engagement pods (artificial patterns detected)
• Keyword stuffing (algorithm learns behavior, not keywords)
• Rapid-fire posting (author diversity penalty)
• Controversial content that triggers blocks/mutes

Example Optimization

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:

• Hook creates curiosity (dwell time)
• Structure rewards reading
• Ends with question (replies)
• Authentic story (avoids mute/block signals)