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gabriel engagement report

@gabriel1 - 129K followers on X

Measured over 26 original posts from a 30-day window, last computed on October 3, 2026.

Engagement

Middle of its size range
Per follower
0.242%
of 129K followers
Per impression
0.822%
37K views on a typical post
Reach
29.4%
of its followers see a post
Typical post
306
interactions (median)
Saved
0.116%
43 bookmarks on a typical post
Posting rate
2.47/day
active 63% of days
Peak time
17:00 UTC
Tuesday

A typical post picks up 306 interactions against 129K followers, an engagement rate of 0.242%. Measured over 26 original posts, its engagement rate beats 67% of 15,519 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 37K times each, and 0.822% of those impressions turn into an interaction. That is about 28.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 26 posts sampled, 31% carry an image or video and 31% are part of a thread. The account's strongest tracked post pulled 9.7K interactions, about 32x its own typical post.

Measured over 26 original posts from a 30-day window, last computed on October 3, 2026.

Compared with accounts its own size

gabriel's engagement rate beats 67% of the tracked X accounts closest to it in follower count (15,519 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 35% 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 0.242%, gabriel sits above the 50th percentile of the 157,233 accounts in this comparison. That places it in the above the median band, which runs 0.128% to 0.604%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,233 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,048 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 percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 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 video31% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 31% 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 203 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

  • Mar 9, 202532x their median

    never compete when applying for jobs, there are hundreds of applicants with better grades and universities than you. but none of them will be making a personalized demo i used this demo to get all my interviews like openai over two years ago before moving to sf https://t.co/iCAW8GFBhi

    9.1K43498971.7M viewsView on X
  • Aug 6, 202625x their median

    3 months ago i resigned from @OpenAI. today we are launching Energy everyone will soon use AI for all work on their computers, but very few do today even though AI is good enough our users do days of work in hours. we'll onboard the world to working with ai https://t.co/lPEEUUP6TB

    6.5K3206231841.9M viewsView on X
  • Sep 28, 202617x their median

    with elon, people focus too much on trying to find individual bad decisions there are extremely few decisions that matter and that are irreversible, and he continues to get those right, the others he can try again whatever bitter lesson is for ai, he discovered for free markets

    4.8K28318221737K viewsView on X
  • Sep 15, 20268.1x their median

    when people taste a smart 20x faster model they will never be able to go back

    2.3K358415124K viewsView on X
  • Sep 27, 20265.9x their median

    100% of people take the first offer they get out of school, defining their future for all of eternity, since 0% of people ever change the direction of their career how can you leave the most important life choice to chance, just to avoid the small discomfort of interviewing more

    1.7K296312190K viewsView on X
  • Sep 27, 20265.7x their median

    urgh i used to have super strong takes about everything, but now when i finally have skin in the game and held accountable for my strong beliefs i have noticed im not always right

    1.6K357315151K viewsView on X
  • Sep 22, 20265.0x their median

    every enterprise will soon want ai for everything all at once because it will very soon work, and there wont be enough FDEs and consultants to add ai fast enough

    1.4K5364967K viewsView on X
  • Sep 20, 20264.9x their median

    astra patched a few bytes in my Windows XP ISO to avoid a memory check that crashes the game this is incredible https://t.co/GpsBMSQP0y

    1.4K2832083K viewsView on X
  • Sep 23, 20263.3x their median

    my friends that live in middle of nowhere sweden just asked about muse for reference they have previously only been aware of "chat" and "anthropic" didn't expect meta to do such a hard product comeback

    9581835234K viewsView on X
  • Sep 11, 20253.2x their median

    Proof that you can just do things - I am working on a cure to my own sleep apnea. After 11 different treatments (total of ~$100K), doctors told me I'd exhausted all options. I knew there was more to be done. If you have brain fog, feel tired all day, DM me - I can help. https://t.co/iboZhru25t

    843358411225K 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 306 interactions against 129K followers, an engagement rate of 0.242%. Measured over 26 original posts, its engagement rate beats 67% of 15,519 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 37K times each, and 0.822% of those impressions turn into an interaction. That is about 28.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.5 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 17:00 UTC, and Tuesday is the busiest day of the week. Of the 26 posts sampled, 31% carry an image or video and 31% are part of a thread. The account's strongest tracked post pulled 9.7K interactions, about 32x its own typical post.

What is gabriel's engagement rate on X?
gabriel (@gabriel1) has an engagement rate of 0.242%, based on the median interactions across 26 original posts from the last 30 days against 128,573 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.242%, gabriel sits above the 50th percentile of the 157,233 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 @gabriel1 have real engagement?
Its engagement rate beats 67% of the tracked X accounts closest to it in follower count (15,519 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 @gabriel1 post?
Most posts go out around 17:00 UTC, and Tuesday is its busiest day, at roughly 2.47 posts per day across the measured window.

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