The State of AI Launches on X, <span id="highlight" class="highlight-text" style="color:#ff471b;" fs-test-element="highlight-element">Q3 2026</span>

The median launch did 261,897 views and the mean did 1,509,685, a gap of 5.8 times, because a handful of results carry the average. Launch outcomes follow a power law rather than a bell curve, and any agency quoting you an average is quoting a number that describes almost none of its work.

The practical reading is about where effort goes. Adding a few percent to a launch that would have done a median result changes very little. Getting one launch into the top tenth changes everything, which is why the package and the first hour matter more than polish on the asset.

Reach rises with account size up to the 100K to 1M band, where the median launch did 1,213,812 views, and then falls.

The largest accounts in the directory are mostly established companies posting routine updates to an audience that has stopped reacting, and the ranker grades a post on early engagement against that account's own baseline. A big following raises the baseline.

The share of launches passing a million views tells the same story: 56% for the 100K to 1M band, 23% for accounts over a million. The over-1M band is 35 launches, small enough that a few outliers move it, so treat the direction as the finding rather than the exact figure.

A launch earns almost all of its reach from people who did not follow the account that morning. The ranker tests a post on a small audience and widens distribution when the early response is strong, and it does that for a 900-follower account the same way it does for a 90,000-follower one.

Follower count on the day is a weak predictor of where a launch ends up. What it predicts is the size of the first test audience, which is the one thing an amplified first hour can substitute for.

A round is news that other people carry. Investors quote it, the press writes it up, peers congratulate it, and every one of those is a post that did not have to come from the company.

A product launch is carried by whoever the company can get to post about it in the first hour, which is usually nobody.

This is a reason to treat a funding round as a launch and plan it like one, and a reason to build the first hour deliberately for a product release, because the round comes with a crowd and the release does not.

The advice to keep launch video short is everywhere and the data runs the other way. A ranker that optimises for watch time rewards a video that holds attention for minutes over one that is over in seconds, and a demo that shows the product doing the whole job holds attention better than a teaser.

What short video is good for is a single checkable claim, which is a different launch and a different post. The launches that led with one number and a 30-second clip sit in this data too, and they are the exception the median hides.

The best three weekdays were Wednesday, Tuesday and Monday, with Wednesday on top. Friday was the worst weekday at less than a third of Wednesday, and the weekend sits at a small fraction, on a sample of 23 launches, which is small because almost nobody launches then.

The day matters less than the first hour, and a Wednesday launch with nobody lined up will still stall. What the day decides is how many of the right people are on the feed when the post goes out.

42 companies launched more than once, 99 launches between them and 36% of every view in the directory, at a median of 25 days between launches. Their biggest launch came first for 21 of the 42, a coin flip.

Part of the per-launch difference is who they are: repeat launchers post from larger accounts, a median of 15,174 followers against 4,945.

The rest is that each launch is a fresh draw from a very wide distribution, and companies that take more draws hold more of the top. Cadence multiplies the number of launches. It does not compound any one of them.

This is an account-size effect before it is anything else. A batch company launches from an account opened for the batch, often the founder's, with a few thousand followers or fewer, and the distribution of its launches looks like every other small account's: a few travel far and most do not.

What the batch does not do is change the first hour. A demo day, a batch hashtag and a crowd of peers posting the same week put a launch in front of other founders, who are not usually the buyer.

Views are the number the ranker controls. Saves and reposts are the numbers people control, and they are the ones to grade a launch on when the product has a considered purchase behind it.

A launch that reaches seven times the median and saves at a third of the median rate reached a crowd that scrolled past.

These two baselines are the ones we use to read every launch in the directory, and they are published here so anyone can read their own launch against them.