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Glen Gilmore engagement report

@GlenGilmore - 268K followers on X

Measured over 48 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Bottom quarter for its size
Per follower
0.007%
of 268K followers
Per impression
1.85%
973 views on a typical post
Reach
0.36%
of its followers see a post
Typical post
18
interactions (median)
Saved
0.103%
1 bookmarks on a typical post
Posting rate
2.97/day
active 73% of days
Peak time
02:00 UTC
Friday

A typical post picks up 18 interactions against 268K followers, an engagement rate of 0.007%. Measured over 48 original posts, its engagement rate beats 19% of 19,932 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 973 times each, and 1.85% of those impressions turn into an interaction. That is about 0.362% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 02:00 UTC, and Friday is the busiest day of the week. Of the 48 posts sampled, 96% carry an image or video and 96% link out. The account's strongest tracked post pulled 3.4K interactions, about 188x its own typical post. Recurring topics include #aigovernance, #education, #legaltech.

Measured over 48 original posts from a 30-day window, last computed on September 23, 2026. Recurring tags: #aigovernance, #education, #legaltech.

Compared with accounts its own size

Glen Gilmore's engagement rate beats 19% of the tracked X accounts closest to it in follower count (19,932 accounts, accounts of similar size (decile 9 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 61% 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 0.007%, Glen Gilmore sits above the 10th percentile of the 201,665 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.142%
p750.671%
p902.53%
p9982.5%
Engagement rate as a share of followers, across the 201,665 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,911 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 percentile0.024%
50th percentile0.142%
75th percentile0.671%
90th percentile2.53%
99th percentile82.5%

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 02:00 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 02:00 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 video96% of posts+111%+108% to +115%34K
Outbound link96% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 96% 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.
  • 96% 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 233 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 13, 2026188x their median

    ✨🇨🇳China's Xiaomi car—this feature is so cool! https://t.co/LpQv1FdwFW

    2.8K45910245180K viewsView on X
  • May 31, 202415x their median

    INTERVIEW: “Sara.” An AI humanoid robot speaking 🗣️ on how to use #AIforGood: ✅ Advance health by improving medical diagnostics 🩺 🩻 #MedTech ✅ #ClimateAction by improving environmental shifts. ✅ #Education by personalizing learning 🎓 #edutech “The possibilities are endless.“ ⚠️ The challenges of AI? “We must address #Bias in algorithms, #DataPrivacy, and job displacement — but innovators worldwide are working on solutions.” @AIforGood GlobalSummit 🇺🇳 📍Geneva 🇨🇭 @ITU #SDGs 🤖 Creator @qltyss #KSA #Humanoid #Robotics #Robot #GenerativeAI #GenAI

    1746633334K viewsView on X
  • Sep 19, 20263.5x their median

    Anthropic selects Accenture as first embedded evaluator to help implement Amodei's slowdown proposal “Anthropic announced it will embed Accenture employees within the company to help test the safety of its AI models.” https://t.co/jq0KB6SMlI https://t.co/dAOt8xQzqO

    479432.4K viewsView on X
  • Sep 14, 20262.8x their median

    Plug-in solar "not an overnight proposition," says Australian energy minister Bowen, as pressure mounts to legalise it within 10 months “Germany has had over a million of these systems plugged in for years,” notes Glen Morris, who is a solar engineer and director of Smart Energy Lab, explaining that the path to safe plug-in solar is “not complicated.” “We do not need to invent anything. We need a product standard so the inverter shuts down instantly when unplugged, a cap of around 800 watts so it cannot overload a normal power circuit, and a simple registration with the network so they know it is there.” Thoughts? 😎 https://t.co/2F90D7zla4

    2615721.8K viewsView on X
  • Sep 17, 20262.7x their median

    Iran strikes on Amazon data centers caused permanent loss of customer data ““The damage to our infrastructure spanned multiple Availability Zones and exceeded what our regional and multi-AZ services are designed to withstand,” the AWS update said. https://t.co/VxKdSbJVjU https://t.co/jplVLJiJgJ

    2813432.9K viewsView on X
  • Sep 5, 20262.7x their median

    Agentic AI Is Here: Is Your Data Ready? https://t.co/4raOwVPlby AI. Governance https://t.co/2ok8kEKcLP

    349411.2K viewsView on X
  • Sep 17, 20262.6x their median

    Anthropic CEO renews call for AI slowdown as Nvidia’s urges acceleration Huang argues that new regulations were not necessary, advising AI companies to simply wait to release products until they know they are safe rather than begging the US government to intervene. | AI governance https://t.co/mDXsdvyCT1

    319332.2K viewsView on X
  • Sep 18, 20262.1x their median

    AI Governance Must Become a Strategic Pillar | @KPMG “To govern AI effectively, organisations should establish: A board-approved AI ambition and risk appetite. A value-led portfolio of AI initiatives with clear ownership and measurable outcomes. An enterprise-wide inventory of AI applications, models, data sources and third-party providers. Robust lifecycle controls covering data quality, security, testing, monitoring and incident response. Workforce policies, training and clear guidance on the responsible use of AI. https://t.co/zAG4P11xg1

    23662949 viewsView on X
  • Sep 14, 20261.8x their median

    OpenAI boss Sam Altman spells out how and why the AI industry wants to slow down And Amodei’s three-step proposal /09/14/sam-altman-ai-slowdown-anthropic-amodei-musk.html https://t.co/K9joqp9MgH

    188421.5K viewsView on X
  • Sep 17, 20261.7x their median

    What if AI data centers didn’t need new power plants? Rune taps into extra renewable energy to run its modular data centers. https://t.co/qLZX7EUDoe https://t.co/f2XIPcseGG

    21820997 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.

Recurring topics

#aigovernance#education#legaltech#responsibleai

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 18 interactions against 268K followers, an engagement rate of 0.007%. Measured over 48 original posts, its engagement rate beats 19% of 19,932 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 973 times each, and 1.85% of those impressions turn into an interaction. That is about 0.362% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 02:00 UTC, and Friday is the busiest day of the week. Of the 48 posts sampled, 96% carry an image or video and 96% link out. The account's strongest tracked post pulled 3.4K interactions, about 188x its own typical post. Recurring topics include #aigovernance, #education, #legaltech.

What is Glen Gilmore's engagement rate on X?
Glen Gilmore (@GlenGilmore) has an engagement rate of 0.007%, based on the median interactions across 48 original posts from the last 30 days against 268,497 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.007%, Glen Gilmore sits above the 10th percentile of the 201,665 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 @GlenGilmore have real engagement?
Its engagement rate beats 19% of the tracked X accounts closest to it in follower count (19,932 accounts), which puts it in the bottom quarter for its size 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 @GlenGilmore post?
Most posts go out around 02:00 UTC, and Friday is its busiest day, at roughly 2.97 posts per day across the measured window.

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