u/MacherJholMan

I think Bengal lost part of its prime because of people who think they are intellectuals but practically do nothing. You will find many of them even in this sub.

How do you identify them? They know everything. Politics, business, startups, government, economy, activism, everything. They always have an expert opinion. But whenever they see someone trying something new, their first reaction is criticism.
“This will never work.”
“They will get picked up.”
“Police will arrest you.”
“Goons will attack you.”
“Impossible in Bengal.”
This is their default mindset.

But do they have any alternative solution? No. Have they ever taken risks and built something themselves? In most cases, no. Many are living safe lives, doing jobs, or surviving on ancestral money while sitting in AC rooms and giving lectures to others.

The most dangerous thing is that they are experts at spreading fear. Start a business, raise a political question, do social work, build a tech project, and instantly they will give you 10 reasons to be scared. 99% of the time nothing even happens. But if something happens that one time, they proudly say “told you so.” It almost feels like a guilty pleasure for them.

And this kills small acts of courage before they even begin. Old Bengal intellectuals used to go to the ground, take risks, organise people, and fight. Now many people just sit on social media spreading cynicism.

Am I wrong, or is there at least some truth in this?

X released their recommendation system as open source. It's at xai-org/x-algorithm on GitHub if you want to look yourself.

I went through it properly. A few things worth knowing if you're trying to grow on the platform:

The scoring formula has 15 signals. Likes rank 11th out of 15.

The signals that actually move the needle:

follow_author: Someone follows you directly from a post. Highest weight in the entire formula. Every post should be engineered to convert viewers into followers.

share_via_dm: Someone sends your post to a specific friend in DMs. Second highest. One DM share likely does more for your reach than 20 likes.

quote tweets: The only action that fires TWO independent signals simultaneously. Quote plus engagement on the quoted post.

There are 10 pre-scoring filters.

Your post gets eliminated before the AI even evaluates it if you fail any one of these. The most brutal is the age filter. Posts past the retention threshold are removed from the ranking system entirely. Post when your audience is asleep and the post may literally expire before they wake up.

Posting more hurts you.

author_diversity_scorer.rs applies an exponential penalty every time you appear more than once in a single feed refresh. 10 posts in a day gives you roughly the same reach as 2 posts, while generating way more "not interested" signals from followers who didn't engage with the weaker content.

The whole repo is public. Everything above is verifiable.

What questions do you have about how it works?

Looking for people with audiences in the creator, social media, or entrepreneur space.

What it is:

A guide built from reading xai-org/x-algorithm, which is X's publicly released recommendation system on GitHub. 16,500 stars.

Every claim cited to a named source file. 13 chapters, 13,000+ words.

The affiliate gig:

- 40% commission per sale

- $10.80 per sale at current $27 price

- 30-day cookie

- Gumroad handles all tracking and payouts automatically

Who it converts well for:

Anyone with an audience that overlaps with creators, entrepreneurs, social media managers, or anyone trying to grow on X. Newsletter writers, YouTubers, X accounts, TikTok creators covering business or marketing or tech.

Comment below or DM if interested.

X released their recommendation system as open source. It's at xai-org/x-algorithm on GitHub if you want to look yourself.

I went through it properly. A few things worth knowing if you're trying to grow on the platform:

The scoring formula has 15 signals. Likes rank 11th out of 15.

The signals that actually move the needle:

follow_author: Someone follows you directly from a post. Highest weight in the entire formula. Every post should be engineered to convert viewers into followers.

share_via_dm: Someone sends your post to a specific friend in DMs. Second highest. One DM share likely does more for your reach than 20 likes.

quote tweets: The only action that fires TWO independent signals simultaneously. Quote plus engagement on the quoted post.

There are 10 pre-scoring filters.

Your post gets eliminated before the AI even evaluates it if you fail any one of these. The most brutal is the age filter. Posts past the retention threshold are removed from the ranking system entirely. Post when your audience is asleep and the post may literally expire before they wake up.

Posting more hurts you.

author_diversity_scorer.rs applies an exponential penalty every time you appear more than once in a single feed refresh. 10 posts in a day gives you roughly the same reach as 2 posts, while generating way more "not interested" signals from followers who didn't engage with the weaker content.

The whole repo is public. Everything above is verifiable.

What questions do you have about how it works?