How Binance launched Binance Intelligence on X

What this launch shows

The post went out from an account with 16.1M followers and was seen by fewer people than follow the account. Accounts of that size usually reach 2.2 times their following.

This one did not get far past the people who already followed it. It ranks 503 of 678 launches from accounts that size. Against every launch in the directory it is below the median of 603K views, at rank 1182 of 2314.

Replies led. 130 of them, 2.2 per 10,000 views against a median of 2.5. The post started a conversation, and the ranking model pays for conversation with reach in the hours after.

Bookmarks came in at 31, reposts at 69. One bookmark for every 14.5 likes is a low ratio for a launch, and reads as entertainment more than intent.

The post opens with “Binance Intelligence is here, bringing institutional-grade AI to every trader”. It carries no media, which leaves the ranking model nothing to hold a reader with past the first line. The copy runs 41 words, about the usual length for a launch post here, where the median is 41.

The body carries a link, so the post had somewhere to send the reader and paid a little reach for it. It went out on a Monday. Launches posted on a Monday have a median of 567K views in the directory, and Friday is the strongest day at 647K.

Why posts from large accounts under-reach covers this: a post seen by fewer people than follow the account was held back by the ranking model.

For the next one, read whether a launch needs a video: 99% of the launches in the directory carry one, and the guide is about when the 1% is the right call.

Developer marketing strategy is the guide for it: developers try before they read, so the post has to let them. Every launch we track in Developer Tool is on that vertical's directory page.