Aakash Gupta Profile picture
Apr 1, 2023 21 tweets 7 min read Read on X
Twitter revealed its algorithm to the world.

But what does it mean for you?

I spent the evening analyzing it.

Here’s what you need to know:
1. Likes, then retweets, then replies

Here’s the ranking parameters:

• Each like gets a 30x boost
• Each retweet a 20x
• Each reply only 1x

It’s much more impactful to earn likes and retweets than replies. Image
2. Images & videos help

Both images and videos lead to a nice 2x boost. Image
3. Links hurt, unless you have enough engagement

Generally external links get you marked as spam.

Unless you have enough engagement. Image
4. Mutes & unfollows hurt

All of the following hurt your engagement:

• Mutes
• Blocks
• Unfollows
• Spam reports
• Abuse reports Image
5. Blue extends reach

Paying the monthly fee gets you a healthy boost. Image
6. Misinformation is highly down-ranked

Anything that is categorized as misinformation gets the rug pulled out from under it.

Surprisingly, so are posts about Ukraine. Image
7. You are clustered into a group

The algorithm puts you into a grouping of similar profiles.

It uses that to extend tweet reach beyond your followers to similar people. Image
8. Posting outside your cluster hurts

If you do “out of network” content, it’s not going to do as well.

That’s why hammering home points about your niche works. Image
9. Making up words or misspelling hurts

Words that are identified as “unknown language” are given 0.01, which is a huge penalty.

Anything under 1 is bad.

This is really bad. Image
10. Followers, engagement & user data are the three data points

If you take away anything, remember this - the models take in 3 inputs:

• Likes, retweets, replies: engagement data
• Mutes, unfollows, spam reports: user data
• Who follows you: the follower graph Image
Shoutout to all the people analyzing:

@NFT_GOD
@amasad
@mxpoliakov
@0xCygaar
@xerocooleth
If you enjoyed this,

1. I write daily threads to help you grow. You may like to follow: @aakashg0

(But if you’re going to unfollow, go ahead and don’t!)

2. Consider RTing the first tweet so others can benefit:
As much as it's fun to analyze the Twitter algorithm, it's also fickle.

Most of my content doesn't make it to your feed.

Subscribe to the newsletter to get my best and deepest work: aakashgupta.substack.com
How to optimize for the algorithm:

Likes, then retweets, then replies
You are clustered - posting outside it hurts
Links hurt. Mutes & unfollows hurt
Misinformation is down-ranked
Images & videos help
Blue extends reach
Making up words or misspelling hurts
New learning: There’s also something known as “Heavy Ranker”

This heavily weights replies to replies and time spent on Tweet.
Additional learning:

Your follower to following ratio matters.

Following way more than follow you hurts.

Use lists. Image
The big open question is: what about bookmarks?

The predominant opinion right now is favcountparams() 30x multiplier's formula is:

Likes + Bookmarks = Favorites Count

It doesn't look to be in the code right now. Part of the problem here is what's on GitHub is incomplete.
Do you want to go the layer deeper to understand how all these code snippets and boosts work together?

I have spent the whole weekend going deeper than my Friday evening analysis.

Get the overall framework in today's newsletter: aakashgupta.substack.com/p/the-real-twi…
And here's why Twitter is the best place to get your information.

This thread was featured on the Reddit home page and Yahoo News: Image
Now that the algorithm is public, Elon Musk wants to update it every 24-48 hours.

Here's what he should do:

• • •

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More from @aakashg0

Sep 7
CPO at Microsoft says Prompt Sets are the new PRDs.

Here's what you need to know: Image
Microsoft has a $3.68T market cap. So when their CPO @aparnacd is talking about PRDs, a lot of folks listen. In fact, many of you asked me about it.

So, let's talk about it:

1. What Prompt Sets Are
2. How They Fit In
3. My Thoughts
4. Next Steps
1. What Prompt Sets Are

Prompt Sets are collections of specific examples showing how an AI system should behave.

Instead of writing "the system should be helpful," you write 15-25 actual examples:

• Edge case A → Handle like B
• Bad input C → Reject with message D
Read 11 tweets
Aug 25
Even Apple is hiring for AI PMs.

Don't let anyone tell you it's a made up role.

Here's a free roadmap to become one: Image
1. Learn the foundations of AI:

news.aakashg.com/p/ai-foundatio…
2. Learn how to AI prototype:

news.aakashg.com/p/ai-prototypi…
Read 14 tweets
Aug 18
AI killed the 10 page PRD. But the PRD isn't dead.

Here's how to write PRDs in the AI age: Image
Companies like Google are shifting to a build-first culture. And it's good. AI prototyping tools have completely changed the game, blurring role lines. Image
But that doesn't mean the PRD has no purpose!

The modern PRD is lighter, sharper, and example heavy. Image
Read 11 tweets
Aug 15
Netflix is paying $900K for AI PMs. Meta is paying $1M+.

Here's how to become one: Image
𝟭. 𝗦𝗵𝗮𝗽𝗲 𝗬𝗼𝘂𝗿 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗗𝗶𝗲𝘁

Follow the right voices:

YouTube: Jeff Su, Matt Wolfe, Dwarkesh Patel
Newsletters: Product Growth, Nate Jones, DeepLearning
Twitter: Santiago (svpino), Min (minchoi), Paul (itsPaulAI)
LinkedIn: Zain Kahn, Allie K. Miller, Ruben Hassid
𝟮. 𝗧𝗮𝗸𝗲 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀

Start foundational:

AI for Everyone by Andrew Ng
Elements of AI by University of Helsinki
Machine Learning Crash Course by Google
Read 12 tweets
Jul 29
If I had to learn AI PM again, I would start here:

($2,000 course totally free) Image
1️⃣ AI PM Foundations

@marilynika: How to become an AI PM - youtube.com/watch?v=GQd54g…

Sam Kawsarani: 15+ Years PM in Era of AI - tinyurl.com/2txs9mab

@_amankhan: Prototyping → Observability → Evals - youtube.com/watch?v=Ej4pBD…
2️⃣ AI Strategy

@tomocchino: Behind v0 (Top AI Prototyping Tool) - open.spotify.com/episode/2wAfwJ…

Scott Jones: 21 Harsh Truths about PM in AI - tinyurl.com/8zcw26rs

@PawelHuryn: AI basics to expert - youtube.com/watch?v=IfW1FM…
Read 10 tweets
Jul 23
You want to code with AI.

But you don't know what tool to use.

Here's your guide on when to use which AI coding tools:

(+ free resources to learn each) Image
1: Cursor

They surpassed $500M ARR for a reason. Your developer probably uses it. It's great for pros - but it's also great for non-technical folks now, as its agent can build things just via natural language.

Free guide:
2: Windsurf

Despite losing most of its technical staff to Google, Windsurf still exists. Now a part of Cognition (makers of Devin), it's great for non-technical people to deal with large code bases.

Free tutorial:
Read 10 tweets

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