Aakash Gupta Profile picture
Apr 9, 2023 14 tweets 5 min read Read on X
Twitter is not the same as it was last week. The algorithm has undergone more than 30 changes.

I’ve been monitoring the GitHub repo for you. Here’s what you need to know:
1. Likes and retweets matter way less

The old weights are dead:
· 30x for likes
· 20x for retweets
· 1x for reply

The algorithm calculates PROBABILITY of actions & applies weights.

Don't just gun for likes and retweets. Image
2. Conversation is the new king

This is the new ranking of positive signals:

· 75x for reply to reply
· 13.5x for reply
· 12x for click to profile
· 10x for click & user stays >2 mins
· 1x for retweet
· 0.5x for like

Grab your 75x with reply to replies. Image
3. After conversation, the best thing you can do is get a user to click

For those who won't reply, get them to click:

· 12x for click to profile
· 11x for click to the conversation and reply or like Image
4. Long content does well

It's rare someone will stay more than 2 minutes for just a tweet - unless your replies are really insightful.

Get your user to stay for 2 minutes and you get yourself 10x. Threads and now long tweets are formats to consider. Image
5. Video & images matter way less

The algorithm gives a slight positive weight to the probability a user will watch at least HALF the video: 0.005.

There's NO weight at all for images.

So:
· Include videos only when a user will watch
· Don't just throw in images for the algo Image
6. Negative signals matter a ton

A Tweet Report is the largest weight in the algorithm: -369x.

You also get a massive 74x ding if the algorithm predicts a:
· Show less often
· Block
· Or Mute

Do NOT put out stuff people are going to have issues with. Image
7. Ukraine is now a kosher topic

The safety label for UkraineCrisis has been deleted.

You can post about the Ukraine Crisis from either side, and the algorithm will apply the same probabilities it does as above. Image
8. No link penalty

By deleting the pre-algorithmic boosts, the penalty links is also gone.

Earlier in the week, the team shipped a change so that you can't like or retweet links from Substack. They rolled that back already. Image
9. Cross the magic mark of following less than follow you

The algorithm manually adjusts down users who have more people they follow than follow them.

But cross the. magic threshold, and the if statement doesn't apply to you anymore. Image
10. It's all about predicted probabilities

If you remember anything, remember that the algorithm is driven by a neural network.

At the end of that, it applies weights to the predicted probabilities.

Right now, those care a ton about conversation. Image
Here's all of that in one easy to use cheat sheet: Image
It's so hard to keep up with all the change.

To stay up to date with the Twitter algorithm, follow me for weekly updates on what you need to know: @aakashg0

Elon is going to keep the change coming.
Want the deeper dive on how all the steps of the algorithm come together?

Here's all the academic research:

aakashgupta.substack.com/p/the-real-twi…

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More from @aakashgupta

Nov 8, 2025
Senior AI PMs make $306K (US). Big tech pays $550K+

I analyzed 250 AI PM job postings.

Here's what hiring managers want: Image
1. AI Product Strategy & Lifecycle (94%)

Define product vision, strategy & roadmap for AI/ML features from 0→1 through scale:

• Quality Envelopes → Define accuracy thresholds
• Cascade Architecture → Right-size models
• SUQS Framework → Track success pillars
• Evals-First → Define success first
🔗 AI Product Strategy → news.aakashg.com/p/ai-product-s…
🔗 AI Prototype to Production → news.aakashg.com/p/ai-prototype…
🔗 AI Roadmaps → news.aakashg.com/p/ai-roadmap
🔗 AI Product Sense → news.aakashg.com/p/ai-product-s…
🔗 How to Build AI → news.aakashg.com/p/how-to-build…
Read 9 tweets
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DUOLINGO COULDN'T TEACH ME HEBREW IN 2 YEARS

ChatGPT did it in just 3 months.

Here's the exact 8 Prompts I used:
1. Adaptive Daily Lesson Builder

"You're my personal Hebrew tutor. Build me a 20-minute lesson for today based on my current level [beginner/intermediate/advanced]. Include: 10 new vocabulary words with context, 1 key grammar concept with 3 examples, and 5 practice sentences I should translate. End with tomorrow's preview."
2. Real Conversation Partner

"Let's have a 10-minute conversation in Hebrew about [topic: weekend plans/work/hobbies]. Start each response in Hebrew, then add English corrections below using this format: '❌ You said X → ✅ Say Y (because Z)'. Adjust your Hebrew complexity to match my responses."
Read 9 tweets
Oct 26, 2025
In product management, not everything is straight forward maths, or solvable by AI.

Yet, some PMs still make better decisions most of the time.

How?

That's product sense: Image
"The ability to find the right solution for the user and business, despite limited and ambiguous information."

I love this definition from @Sid Arora.
You start with the PM process:

1. Take a vague & ambiguous problem statement
2. Create, or clarify the overall goal
3. Identify all users in ecosystem
4. Pick 1-2 users
5. Identify major problems of the user
6. Select the problems to solve
7. Brainstorm for solutions
8. Select the highest ROI solution
9. Build and deploy the solution
10. Measure success / collect feedback
Read 12 tweets
Oct 22, 2025
You should vibe code a PM portoflio.

Only 17% of PMs have a portfolio.

So you should differentiate with one.

Here's how: Image
1. Headline

This is the most important part! You want to describe your unicorn candidate-market fit. This is your opportunity to make a bumpy career look like a straight line to a sector of the market.
2. Navigation

The beauty of a website is you can add layers. Add in followup pages to deep dive into your experience. Link them. Add in blog & podcast appearances too.
Read 12 tweets
Oct 21, 2025
ChatGPT is just the tip of the iceberg.

PMs should use 10 buckets of AI tools: Image
DISCOVERY

1. Prototyping
Yes, this is an amazing PM use case.

Tools like Lovable, Bolt, v0, Magic Patterns, and Base44 are great for improving your discovery work.

🔗 Guide: news.aakashg.com/p/ai-prototypi…
2. Customer Intelligence
These aggregate customer insight everywhere.

Tools like Dovetail, Enterpret, Unwrap, Monterey, and Sprig make knowing your customer easier.

🔗 Guide: news.aakashg.com/p/ai-customer-…
Read 12 tweets
Oct 15, 2025
Product discovery is the no. 1 skill for PMs.

Here's how to use AI to 10x your discovery: Image
𝗦𝗧𝗘𝗣 𝟭: 𝗔𝗜 𝗠𝗮𝗿𝗸𝗲𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

Market analysis used to be a lengthy, research-heavy process that often required access to paid reports.

Now, replace that with:

a. Market sizing by Perplexity
b. Validation with 3 expert calls
c. Synthesizing sources with NotebookLMImage
𝗦𝗧𝗘𝗣 𝟮: 𝗔𝗜 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲

Build an AI customer intelligence system like that provided by tools like @hiDovetail.

These aggregate all your:

• 1000s of support calls
• 100s of app reviews
• 100s of sales calls
• 10s of interviews

AI customer intelligence tools are as important as AI prototyping tools. Deep dive: news.aakashg.com/p/ai-customer-…Image
Read 9 tweets

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