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Ryan engagement report

@rybotics - 1.1M followers on X

Measured over 1 original post from a 30-day window, last computed on October 28, 2026.

Engagement

Per follower
0.026%
of 1.1M followers
Per impression
0.456%
62K views on a typical post
Reach
5.80%
of its followers see a post
Typical post
285
interactions (median)
Saved
0.21%
131 bookmarks on a typical post
Posting rate
0.07/day
active 3% of days
Peak time
08:00 UTC
Tuesday

Early reading. We have captured 1 original post 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 285 interactions against 1.1M followers, an engagement rate of 0.026%. Posts are seen about 62K times each, and 0.456% of those impressions turn into an interaction. That is about 5.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 71K interactions, about 248x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on October 28, 2026.

Where this sits in the catalog

At 0.026%, Ryan sits above the 25th percentile of the 212,270 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.

p100.004%
p250.025%
p50 (median)0.146%
p750.695%
p902.61%
p9983.1%
Engagement rate as a share of followers, across the 212,270 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,455 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 percentile0.004%
25th percentile0.025%
50th percentile0.146%
75th percentile0.695%
90th percentile2.61%
99th percentile83.1%

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 08:00 UTC, and Tuesday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 0% 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 573 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

  • Jan 3, 2026248x their median

    American TV is fucking wild. https://t.co/QXroY09t4V

    64K4.7K9756883.9M viewsView on X
  • Dec 22, 202597x their median

    This unfortunately goes hard https://t.co/BDkJ28Lv0n

    27K56111532791K viewsView on X
  • Mar 13, 202674x their median

    Steve Jobs literally predicted the iPhone, the Internet, AI and the next 50 years of technology in a single speech from 1983: https://t.co/DtwrMJBx1x

    16K4.3K2932372.2M viewsView on X
  • Nov 21, 202520x their median

    A mentor told me: If you get the right things right, you can get a lot of wrong things wrong, and still win. "Perfect the details. Limit the number of details." - Jack Dorsey

    4.9K48719516140K viewsView on X
  • Nov 16, 2025238x their median

    It takes so long to succeed mostly because you have to learn how much more effort it takes than anything else you've ever done before. And when u start you have no baseline. Effort is against our nature. It's learning to lean into the pain. It's inefficient, but it's how you win.

    3.2K3292521899K viewsView on X
  • Jan 5, 20268.6x their median

    Jeff Bezos literally dropped the most underrated winning principle https://t.co/OUMIyINGmX

    2.2K2251921304K viewsView on X
  • Jul 30, 20263.5x their median

    NEW: California startup Satyress unveiled a centaur robot built for wildfires, collapsed structures, and toxic zones. The 6 foot robot has a horned goat head, glowing eyes, four legs, and quick-swap wrists that can mount a chainsaw, drill, or any tool built for humans. https://t.co/N0ugRwlwd0

    7347912062115K viewsView on X
  • Aug 25, 2026

    On this day in 1995, Microsoft launched Windows 95. It introduced the Start menu and taskbar and became one of the most influential PC operating systems of the 90s. https://t.co/p5aBWe64pF

    29532281474K viewsView on X
  • Mar 3, 2026

    The best thing I've heard on why engineers and salespeople will never understand each other, thanks to @bhorowitz https://t.co/W2DeuGubUJ

    3042019761K viewsView on X
  • Oct 27, 2026

    TURING AWARD WINNER SAYS THERE'S "ABSOLUTELY NO WAY IN HELL" LLMS REACH HUMAN-LEVEL AI yann lecun says scaling LLMs won't get us there, and definitely not in the next two years "the idea that we're gonna have a country of genius in the data center, that's complete BS" that's a direct shot at dario amodei, it's his phrase for where anthropic is heading instead he thinks we'll get something that feels like "a PhD sitting next to you. but it's not a PhD" a PhD invents solutions to new problems. what we're building finds the ones that already exist, just really fast

    1849801262K 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 285 interactions against 1.1M followers, an engagement rate of 0.026%. Posts are seen about 62K times each, and 0.456% of those impressions turn into an interaction. That is about 5.80% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.07 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 08:00 UTC, and Tuesday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 71K interactions, about 248x its own typical post. Only 1 original post 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 Ryan's engagement rate on X?
Ryan (@rybotics) has an engagement rate of 0.026%, based on the median interactions across 1 original posts from the last 30 days against 1,077,590 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.026%, Ryan sits above the 25th percentile of the 212,270 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 @rybotics have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @rybotics post?
Most posts go out around 08:00 UTC, and Tuesday is its busiest day, at roughly 0.07 posts per day across the measured window.

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