Dharmesh P

🤖 AI • Product • Growth
🚀 Building ideas into products
💰 $2K+/mo SaaS

[Dharmesh P @itsKamadh]

Meta’s new Muse Wonder models promise “Active Memory” across conversations.

Developers: what’s ONE instruction you’re tired of repeating to your coding assistant? 👀

[Dharmesh P @itsKamadh]

@ishaan_builds Friends and family

[Dharmesh P @itsKamadh]

@benabmathew That’s excellent

[Dharmesh P @itsKamadh]

@builtwithrubel All

[Dharmesh P @itsKamadh]

@RyanRayMartin 5k followers

[Dharmesh P @itsKamadh]

@bitcoinasusual Ai is taking over

[Dharmesh P @itsKamadh]

You have to cancel every subscription except one.

Which one are you keeping? 👀

[Dharmesh P @itsKamadh]

@ardent__dev Same here

[Dharmesh P @itsKamadh]

Unpopular opinion: deleting a feature can be a bigger upgrade than adding one.

Your thoughts?

[Dharmesh P @itsKamadh]

@benabmathew I think it's consistency with quality content

[Dharmesh P @itsKamadh]

@kezie77 @JakeSnyder80dp I did it

[Dharmesh P @itsKamadh]

Looking to connect with more developers, SaaS founders, and people building with AI 🤝

I build mobile apps and would love to meet others to swap ideas, share experiences, and learn from.

If we haven’t spoken yet, say hi 👋

[Dharmesh P @itsKamadh]

@oluwatomisint6 Yes, community can give good push to product

[Dharmesh P @itsKamadh]

Your app is live. Zero audience. Zero ad budget.

What’s your first move to get 100 users?

[Dharmesh P @itsKamadh]

@RyanRayMartin Glad to connect with you, RYAN

[Dharmesh P @itsKamadh]

@RyanRayMartin Yes, that's sensible to do

[Dharmesh P @itsKamadh]

@sutarabhiii Glad to connect with you

[Dharmesh P @itsKamadh]

X’s algorithm is open source. Here’s what its ranking weights reveal about growing here 👇

POSITIVE SIGNALS

Like: +0.66

Repost: +1

Reply: +5

Quote: +5

Share via DM: +5

Share by copying the post link: +20

Follow the author: +4

Click an external link: +0.2

Time spent reading also contributes through separate attention signals.

NEGATIVE SIGNALS

“Not interested”: −52.272

Mute the author: −58.8

Block the author: −31.2

Report: −234

HOW THE SCORING WORKS

These aren’t points earned per engagement.

X predicts how likely a particular viewer is to take each action, then multiplies that probability by its weight.

Example: a 10% predicted chance of replying contributes 5 × 0.10 = 0.5 before other adjustments.

The same post can score differently for different viewers.

MY GROWTH TAKEAWAYS

① Ask specific questions people have something to say about.

② Share useful examples, resources and lessons people would send to a friend.

③ Deliver on your opening. Give readers a reason to spend time with the post.

④ Keep promotion relevant. Predicted negative feedback can hurt ranking.

⑤ Build around a recognizable audience. Recommendations use each viewer’s engagement history.

These are practical interpretations of the public code. Defaults and live experiments can change.

Which is hardest for you: getting replies, getting shares, or keeping people reading?

[Dharmesh P @itsKamadh]

@funso_dev I did

[Dharmesh P @itsKamadh]

@madhugogineni97 let's do it

[Dharmesh P @itsKamadh]

@NabilJB007 Happy to connect

[Dharmesh P @itsKamadh]

@d_gundyrev You have to do both