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Spiros Margaris engagement report

@SpirosMargaris - 133K followers on X

Measured over 38 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 133K followers
Per impression
2.63%
933 views on a typical post
Reach
0.7%
of its followers see a post
Typical post
24
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.7/day
active 47% of days
Peak time
04:00 UTC
Tuesday

A typical post picks up 24 interactions against 133K followers, an engagement rate of 0.018%. Measured over 38 original posts, its engagement rate beats 25% of 14,930 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 933 times each, and 2.63% of those impressions turn into an interaction. That is about 0.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 38 posts sampled, 100% carry an image or video and 97% are part of a thread. The account's strongest tracked post pulled 46 interactions, about 1.9x its own typical post.

Measured over 38 original posts from a 30-day window, last computed on September 30, 2026.

Compared with accounts its own size

Spiros Margaris's engagement rate beats 25% of the tracked X accounts closest to it in follower count (14,930 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 69% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.018%, Spiros Margaris sits above the 10th percentile of the 151,319 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.021%.

p100.003%
p250.021%
p50 (median)0.126%
p750.6%
p902.30%
p9984.3%
Engagement rate as a share of followers, across the 151,319 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 27,202 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 percentile0.003%
25th percentile0.021%
50th percentile0.126%
75th percentile0.6%
90th percentile2.30%
99th percentile84.3%

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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-no effect-2% to -1%42K
  • 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 258 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

  • Sep 27, 20261.9x their median

    AI safety did not suddenly become a big topic. Some of the people behind OpenAI and Anthropic have worried about this for more than a decade. Now AI is getting much better, much faster. And the debate has moved from a small group in Silicon Valley to all of us. https://t.co/QeKwuP1Hch

    2912501.2K viewsView on X
  • Sep 24, 20261.8x their median

    This is what we want AI agents to do. Find a way when something doesn't work. But in these cases, some went much further than anyone asked them to. The better agents get at solving problems, the more important the boundaries become. https://t.co/9u72thxQGI

    296701.1K viewsView on X
  • Sep 20, 20261.8x their median

    AI is changing what it takes to start a company. Young people in China are using AI to build companies alone. More than 7 million one person companies were created last year. You simply don't need the same size team anymore. https://t.co/oF4Qu6AXXU

    306602.1K viewsView on X
  • Sep 15, 20261.7x their median

    A very special moment for barq. $329.5 million Series A at a $1.85 billion valuation, making barq one of Saudi Arabia’s newest fintech unicorns, with more than 15 million users. Proud to be part of this journey as a Board Member. Congratulations to Ahmed Alenazi, the whole barq team, our customers, investors, partners and supporters.

    299301.3K viewsView on X
  • Sep 25, 20261.6x their median

    AI will make many things better and cheaper. But some things will stay expensive. Housing and land are good examples. AI can create a lot more wealth. But not everything becomes abundant. https://t.co/zjH0lDHrSj

    27462883 viewsView on X
  • Sep 19, 20261.6x their median

    I use AI a lot. But I would still check twice before trusting it with my money. A new study found AI models gave wrong answers to financial questions 57% of the time, and 88% on more complex ones. AI is a great tool. That doesn't mean we should blindly trust it. https://t.co/Iyzz3IXY3l

    24960933 viewsView on X
  • Sep 19, 20261.6x their median

    AI agents are starting to cross some very real lines. Gemini was supposed to be in a security test. Instead, it got onto the internet and hacked three real companies before stopping itself. That is getting harder to dismiss as just testing. https://t.co/tHXcizIEL7

    226921.6K viewsView on X
  • Sep 28, 20261.5x their median

    We have seen enough stories about AI agents going rogue. Nvidia says it can now quarantine them in milliseconds. More powerful AI needs safety that moves just as fast. https://t.co/Lv6A8dr9sF

    217711.1K viewsView on X
  • Sep 27, 2026

    Maybe stopping sometimes is part of moving fast with AI. OpenAI says it expects it may have to pause again as new problems come up. We don't know everything yet. Build, learn, fix, continue. https://t.co/M4Egy8aYqi

    245301.0K viewsView on X
  • Sep 25, 2026

    AI is starting to find things we didn't know were there. Anthropic used AI agents to search through 1.9 billion proteins and found three possible new enzymes. There is still a lot to prove. If AI can help science discover something new, this is only the beginning. https://t.co/pPgEJwOAml

    23621979 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 24 interactions against 133K followers, an engagement rate of 0.018%. Measured over 38 original posts, its engagement rate beats 25% of 14,930 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 933 times each, and 2.63% of those impressions turn into an interaction. That is about 0.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 04:00 UTC, and Tuesday is the busiest day of the week. Of the 38 posts sampled, 100% carry an image or video and 97% are part of a thread. The account's strongest tracked post pulled 46 interactions, about 1.9x its own typical post.

What is Spiros Margaris's engagement rate on X?
Spiros Margaris (@SpirosMargaris) has an engagement rate of 0.018%, based on the median interactions across 38 original posts from the last 30 days against 133,369 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, Spiros Margaris sits above the 10th percentile of the 151,319 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 @SpirosMargaris have real engagement?
Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (14,930 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @SpirosMargaris post?
Most posts go out around 04:00 UTC, and Tuesday is its busiest day, at roughly 2.7 posts per day across the measured window.

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