Aakash Gupta Profile picture
Apr 16, 2023 13 tweets 5 min read Read on X
Replying to replies won’t boost your post 75x.

99% of people who copied my thread botched it. I've actually worked on algorithms for 15 years at places like Google.

And I've studied the changes to the algorithm just yesterday. Here's how to ATTACK the latest algorithm: Image
1. The algorithm constructs the feed INDIVIDUALLY for each user

Your tweet does NOT have individual stats.

It has stats on a "per-reader level."

The 75x boost only applies IF the system predicts a 100% probability the SPECIFIC reader will reply AND the author replies to that. Image
2. So here's your point of LEVERAGE:

Increase the probability replies are replied to.

Case 1: The probability a person replies to a specific tweet is 10%, but 0% probability you reply.
→ 10% * 0% * 75x = 0x

Case 2: 100% you reply.
→ 10% * 100% * 75x = 7.5x. Image
3. There is NO direct link penalty

The old de-boost that penalized their existence is GONE.

But, there are still ways links are penalized:

1. Users interact with them less, so their predicted scores are low
2. They reduce your likelihood of getting the 2-min bonus Image
4. The algorithm cares DEEPLY about time spent

As the probability increases that a user spends 2 minutes, you get up to a 10x boost.

It takes 400 words to drive 2 minutes of reading.

So, either:

· Write threads
· Write long tweets
· Or having interesting replies Image
5. Nothing beats QUALITY

The way you are really going to bend the trajectory of your tweet is by getting people who don't normally like or reply to do so.

That will increase the probability of those boosts to other people who are stingy with their love. Image
6. Retweets are still HUGE

The retweet 1x boost shouldn't fool you. It doesn't mean retweets aren't valuable.

They are very valuable.

Yes, you only get a 1x boost if the system predicts a user will retweet. But, the retweet broadcasts your tweet to many more users. Image
7. The algorithm does like videos people WATCH

The .005x boost seems insignificant.

But it can add up over time and on the margin.

It's one of the few "characteristics" that you can easily control to push up your numbers. Image
8. You CAN'T report someone out of the algorithm

The -74x and -369x penalties look ominous.

But if you piss off someone who does lots of reporting, that's not gonna affect the probabilities for others.

It's only if you piss off someone not easily pissed off. Image
The algorithm is CONSTANTLY changing. Just take a look at these commits.

No one else on Twitter is following the GitHub repo as closely as me. Or producing guides as easy to read.

Follow me for weekly updates: @aakashg0 Image
Here was my original thread that went viral (and 99% of copycats botched the read-out of):
And here's last week's update that 90% of those people never even saw, so they were operating on old information.

You can expect a similar update next week:
How to ATTACK the latest Twitter algorithm: Image

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More from @aakashg0

Nov 8
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…
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Oct 29
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."
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"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."
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Oct 26
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
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.
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Oct 21
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-…
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Oct 15
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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