| 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:
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)
