Iris Hayes engagement report
@irisneural - 57K followers on X
Measured over 5 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 91 interactions against 57K followers, an engagement rate of 0.159%. Posts are seen about 6.9K times each, and 1.31% of those impressions turn into an interaction. That is about 12.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video and 60% link out. The account's strongest tracked post pulled 1.0K interactions, about 11x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 5 original posts from a 30-day window, last computed on October 6, 2026.
Where this sits in the catalog
At 0.159%, Iris Hayes sits above the 50th percentile of the 205,048 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 00:00 UTC, and Monday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 60% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 60% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 60% 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.
- 60% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 523 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
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
- Oct 5, 202611x their median
Everyone got a coding agent. Nobody got a QA engineer. Until today. Meet Ship, your Autonomous Quality Engineer. It tests deployed PRs, reproduces bugs from Slack and Linear, and hands Claude or Codex the context to fix them. Try it free: https://t.co/iKhsWrVxu9 https://t.co/lgTklYYuwT
- Jun 26, 20261.7x their median
SHOCKING 🚨 : i think the call center as we know it just died. i watched an ai agent take a furious customer, canceled flight, about to miss his sister's wedding, and calm him down better than most humans would. no script. this is ElevenAgents 🧵 https://t.co/ZJp7XhK5yt
- Oct 5, 20261.5x their median
Can an AI tool turn a vague idea into an app I can actually use, without me building it? For quite some time, I’ve been curious about this. Recently, I found one and decided to put it to the test and share my feedback. I gave it a single prompt: “Make a YouTube clipping app that turns long videos into short clips for social.” No spec. No wireframes. What happened next surprised me 👇
- Oct 5, 2026
Jack Ma told Elon Musk humans will always be smarter than machines. Musk’s reaction says everything. “Computers may be very clever, but human beings are much smarter. We invented the computer. I've never seen a computer invent a human being.” Ma's argument was simple. Computers are tools. They calculate faster, remember more, but humans still hold something machines don't: experience, judgment, wisdom. Musk clearly didn't buy it. “What would be an example of something that humans are better than a computer at?” Watching this exchange now feels completely different than it did then. AI agents aren't just calculating anymore. They're writing code, analyzing documents, planning tasks, deciding what to do next on their own. METR found that the length of software tasks frontier agents can complete autonomously has historically doubled roughly every seven months, with signs of even faster progress through parts of 2024. That's where Ma's argument starts to buckle. For decades, technology automated what humans did. AI is starting to automate what we assumed required a human to think. And companies were already learning to create enormous value with almost no people before this wave even arrived. Instagram sold for $1 billion with 13 employees. WhatsApp sold for $19 billion with 55. Now picture what happens when a small team can direct hundreds of machines that never sleep, never take a salary, never need an office. The question was never just which jobs disappear. It's what happens to the money once fewer humans are needed to create it in the first place. That's the question behind 2028: The Economy Without Humans. Who gets the money when machines do the work?
- Oct 5, 2026
Eleven v4 is free on ElevenCreative until October 12 for Creator plans and above. Here's your guide to making the most of it and turning your scripts into ads that keep your audience hooked. https://t.co/HMmZNbmuxc
- Oct 5, 2026
https://t.co/VW8ItaYKh8
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 91 interactions against 57K followers, an engagement rate of 0.159%. Posts are seen about 6.9K times each, and 1.31% of those impressions turn into an interaction. That is about 12.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 5 posts sampled, 60% carry an image or video and 60% link out. The account's strongest tracked post pulled 1.0K interactions, about 11x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Iris Hayes's engagement rate on X?
- Iris Hayes (@irisneural) has an engagement rate of 0.159%, based on the median interactions across 5 original posts from the last 30 days against 57,329 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.159%, Iris Hayes sits above the 50th percentile of the 205,048 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 @irisneural have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @irisneural post?
- Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 1.47 posts per day across the measured window.