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AI Breakfast engagement report

@AiBreakfast - 240K followers on X

Measured over 9 original posts from a 30-day window, last computed on September 10, 2026.

Engagement

Per follower
0.022%
of 240K followers
Per impression
0.573%
9.4K views on a typical post
Reach
3.93%
of its followers see a post
Typical post
54
interactions (median)
Saved
0.064%
6 bookmarks on a typical post
Posting rate
0.57/day
active 40% of days
Peak time
21:00 UTC
Friday

A typical post picks up 54 interactions against 240K followers, an engagement rate of 0.022%. Posts are seen about 9.4K times each, and 0.573% of those impressions turn into an interaction. That is about 3.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 9 posts sampled, 56% carry an image or video and 22% link out. The account's strongest tracked post pulled 5.7K interactions, about 105x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on September 10, 2026.

Where this sits in the catalog

At 0.022%, AI Breakfast sits above the 25th percentile of the 65,864 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99120.1%
Engagement rate as a share of followers, across the 65,864 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 57,191 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile120.1%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 21:00 UTC, and Friday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 21:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 21:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video56% of posts+111%+108% to +115%34K
Outbound link22% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 56% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 22% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 188 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Jul 26, 2026105x their median

    JUST IN: OpenAI CEO Sam Altman reveals humanity is “close to creating a genie that can grant any wish.”

    4.5K319599312686K viewsView on X
  • Jul 11, 2026103x their median

    Pizza Hut website in 1996 https://t.co/3tuQ1iZXzD

    5.1K3427835564K viewsView on X
  • Apr 10, 202350x their median

    At this rate we'll probably see GPT-6 before GTA 6

    2.2K268107109581K viewsView on X
  • Oct 13, 202331x their median

    When OpenAI releases Autonomous Agents, it will be like an intelligent swarm of bees clicking around on the internet. Sending emails, negotiating, making products, purchases, fulfilling orders, etc. It will fundamentally change the internet, and this cannot be overstated.

    1.4K1889644598K viewsView on X
  • Jul 21, 202620x their median

    Today we launch the next chapter of Gushwork. Over the last 30 years, we saw commerce moving online - But what actually moved online were low value retail products: books, clothing, electronics. Anything high value, from $5,000 to $1M - a hydraulic crane, an industrial roofing contract, a heat shrink machine - still runs predominantly on human buyer seller conversations. And conversation was the one thing software couldn't do. That just changed. We are bringing 35 million sellers of high value products & services in the physical economy to the agentic web - One of the largest categories of commerce that barely moved online in the internet before AI.

    590258187712.1M viewsView on X
  • Jul 28, 202611x their median

    Anthropic has to understand that the days of gate-kept $200/month plans are over kimi k3 dropped its full weight yesterday — the world's first open-weight model in the 2.8T-parameter class MiniMax is expected to follow almost immediately with its own 2-3T open model no moat left

    4962865747K viewsView on X
  • Aug 3, 20267.5x their median

    The models are improving the models. Locus, our automated AI research system, is SOTA on PostTrainBench and post-trains Qwen3 base models that surpass the human post-trained Qwen3 model. Today, LLMs post-trained end-to-end by Locus are in production to millions. 🧵👇 PostTrainBench evaluates agents' ability to post-train models on various domains given 10 H100 hours. We extend PostTrainBench via PostTrainBench+, which has a greatly expanded compute budget that provides clearer signal on automated post-training capabilities. We find that thousands of H100 hours help distinguish methods' performance post-training Qwen3 1.7B-Base models, and that Locus scales best. In this setting, modes trained by Locus collectively surpass the perforamce of the offical human post-trained Qwen3 1.7B model. In a test of generalization, we ran Locus on all live Kaggle competitions with prize money and public leaderboards. After 16 days, Locus achieved the 4th highest average rank among all participants.

    305601428266K viewsView on X
  • Sep 6, 20265.9x their median

    Your coworker next year when you finish trade school: https://t.co/8CAZpRFWDi

    286245433K viewsView on X
  • Sep 4, 20265.8x their median

    How about now @sama? https://t.co/1hfqmrSZGm

    30453164K viewsView on X
  • Jul 17, 20262.1x their median

    Don’t get too excited, you’d need about 8x H100s to run Kimi 3 locally

    9855523K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 54 interactions against 240K followers, an engagement rate of 0.022%. Posts are seen about 9.4K times each, and 0.573% of those impressions turn into an interaction. That is about 3.93% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.57 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 21:00 UTC, and Friday is the busiest day of the week. Of the 9 posts sampled, 56% carry an image or video and 22% link out. The account's strongest tracked post pulled 5.7K interactions, about 105x its own typical post.

What is AI Breakfast's engagement rate on X?
AI Breakfast (@AiBreakfast) has an engagement rate of 0.022%, based on the median interactions across 9 original posts from the last 30 days against 239,751 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.022%, AI Breakfast sits above the 25th percentile of the 65,864 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @AiBreakfast have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @AiBreakfast post?
Most posts go out around 21:00 UTC, and Friday is its busiest day, at roughly 0.57 posts per day across the measured window.

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