How the Twitter/X Algorithm Actually Works in 2025
I’m writing this as a living note.
Not a growth hack thread. Not “10 tips to go viral.” But a clear mental model of how X (Twitter) actually decides who wins in 2025 — especially if you’re building in AI, cybersecurity, startups, or DevSecOps.
My personal targets are aggressive:
- 500 verified followers
- 3M impressions
- 3 months
- No paid growth, no engagement bait
So I went deep into the open-source X algorithm, creator data from 2024–25, and real-world testing.
This post is the result.
First: Stop Thinking in “Tweets”
X does not rank “tweets”.
It ranks behavior.
Every post you make is judged by one question:
“What will a real human likely do after seeing this?”
Not:
- How many followers you have
- How often you post
- How clever the wording is
But whether someone will:
- Pause
- Read
- Save
- Reply
- Come back
That’s the game.
How the X Algorithm Works (Plain English)
The timeline is built in stages:
1. Candidate Generation
X pulls in:
- Tweets from people you follow
- Tweets from people you don’t follow
- Tweets from trending topics and interest graphs
Important:
About half of your feed comes from accounts you don’t follow
This is why small accounts can explode.
2. Scoring (The Real Battle)
Each tweet is scored using machine learning models that predict:
- Will you reply?
- Will you bookmark?
- Will you spend time reading?
- Will you engage again later?
Not all engagement is equal.
Which brings us to the most important section.
The Signals That Matter Most in 2025
Here’s the real hierarchy:
1. Replies (Especially Thoughtful Ones)
Replies are the strongest signal.
- Long replies
- Back-and-forth discussions
- Disagreement done respectfully
If your post starts conversations, X pushes it hard.
2. Bookmarks (The Silent Superpower)
Bookmarks are criminally underrated.
If someone saves your post, X assumes:
“This content has long-term value.”
Save-worthy content travels far.
3. Time Spent (Dwell Time)
If someone stops scrolling to read your post, that’s gold.
This is why threads dominate.
4. Likes & Retweets
Still useful. Just weaker than replies and saves.
5. Account Credibility
Verification helps. Activity helps more.
A small active account beats a large inactive one every time.
Threads vs Long Posts: What Actually Works?
Short answer:
- Threads = reach
- Long posts = authority
Why threads win the algorithm
Threads:
- Increase time spent
- Create multiple ranking surfaces
- Encourage replies
- Encourage saves
Each tweet in a thread is another chance to appear in feeds.
Ideal thread length: 👉 3–6 tweets
Long enough to teach. Short enough to finish.
What about long posts / X Articles?
X does reward long-form content if it stays on X.
Key rule:
External links hurt reach. Native content wins.
Long posts work best when:
- Explaining complex topics (AI, AppSec, architecture)
- You want depth over virality
Best strategy:
- Thread to hook attention
- Long post to deliver depth
How You Should Post on X in 2025
Here’s the practical playbook.
1. Write to Be Saved, Not Liked
Ask yourself:
“Would I bookmark this?”
If the answer is no, rewrite it.
Examples that work:
- Checklists
- Frameworks
- Lessons learned
- Diagrams
- Mistakes & insights
2. Use Threads for Education
Especially in:
- AI
- Cybersecurity
- SAST / AppSec
- Startups
Threads let you:
- Teach progressively
- Hold attention
- Invite discussion
End with:
- A summary
- A question
- A challenge
3. Stay On-Platform
X wants people to stay on X.
Avoid:
- Link-only posts
- “Read more here” content
If you must link out:
- Put it in a reply
4. Engage Like a Human
Posting alone won’t grow you.
Growth comes from:
- Replying to others
- Adding real value
- Disagreeing thoughtfully
- Quoting posts with insight
Every good reply is:
- Content
- Distribution
- Networking
5. Use Hashtags Sparingly but Precisely
Hashtags help X understand context.
For my niche:
#AI#CyberSecurity#AppSec#SAST#DevSecOps#Startups
1–3 is enough.
What the Algorithm Punishes
Avoid these if you care about reach:
- Posting many standalone tweets in a row
- Engagement bait
- Repetitive content
- Low-effort AI spam
- External links everywhere
X filters aggressively now.
My Current Posting Strategy
This is what I’m running with:
3–4 high-quality threads per week
1 long-form post per week
Daily thoughtful replies in my niche
Visuals wherever possible
Tracking:
- Impressions
- Replies
- Bookmark rate
If something doesn’t get saved, I iterate.
Final Mental Model
Think of X as:
A public thinking engine, not a marketing channel
The algorithm rewards:
- Clarity
- Depth
- Conversation
- Consistency
- Staying on-platform
Threads work because they align with how humans learn.
If you treat X like a notebook instead of a billboard, growth follows.
This post will evolve as I keep testing. If it helped you, bookmark it — that’s literally the best signal you can give.