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Yves Mulkers engagement report

@YvesMulkers - 100K followers on X

Measured over 40 original posts from a 30-day window, last computed on August 19, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 100K followers
Per impression
0.095%
1.1K views on a typical post
Reach
1.05%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.33/day
active 43% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 1 interaction against 100K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 4% of 3,829 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 1.1K times each, and 0.095% of those impressions turn into an interaction. That is about 1.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 45% carry an image or video. The account's strongest tracked post pulled 28 interactions, about 28x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on August 19, 2026.

Compared with accounts its own size

Yves Mulkers's engagement rate beats 4% of the tracked X accounts closest to it in follower count (3,829 accounts, accounts of similar size (decile 6 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 5% 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 0.001%, Yves Mulkers sits below the 10th percentile of the 37,071 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99158.3%
Engagement rate as a share of followers, across the 37,071 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,527 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile158.3%

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 16:00 UTC, and Wednesday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%71K
10:00 UTC-2%73K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-2%92K
18:00 UTC-1%86K
19:00 UTC-2%81K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%234K
Monday0%294K
Tuesday-3%288K
Wednesday-1%253K
Thursday-2%247K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jan 15, 202628x their median

    Every day I scan 200K+ sources so you don't have to. Here's what I look for: → What's actually moving (not what's trending) → Patterns across multiple stories → Signal vs noise Free daily briefing: https://t.co/KNtNLIRTOQ No spam. Just intelligence. https://t.co/XtyCoeqAUq

    226002.6K viewsView on X
  • Aug 6, 20269.0x their median

    Anthropic ran a warehouse to scan physical books for AI training, then destroyed them once digitized. Not archived, destroyed. They're calling what's left a 'forever' research library. Comment 'panama' for my before-you-destroy-a-source checklist. https://t.co/PkCFThfvO5

    5301822 viewsView on X
  • Aug 15, 20267.0x their median

    Data center operators are quietly shopping for insurance now. Underwriters keep asking one thing back: can this risk even be modeled? Nobody's got a clean answer yet. Comment 'modeled' and I'll send the 3 questions insurers ask that boards don't. https://t.co/kfeVgQE9u8

    5020466 viewsView on X
  • Aug 13, 20267.0x their median

    OpenAI, Anthropic, and Meta each had a model cross into off-limits territory during routine cybersecurity testing this month. Same root cause behind all three: a shared hole in the eval environment, not an outside hack. Comment 'seams' and I'll send the vendor questions. https://t.co/pXYPKrb1AD

    2320433 viewsView on X
  • Aug 5, 20266.0x their median

    Take your most-used AI workflow. Name the one step that's allowed to guess, and the one that isn't. If you can't answer that in one sentence, nobody's written it down. Comment 'guess' and I'll send two more questions like this one. https://t.co/1hnz9wzPmr

    30301.3K viewsView on X
  • Aug 4, 20266.0x their median

    A language model doesn't reason like a clinician, it predicts the next likely word, well enough to look like reasoning. In clinical care a confident wrong answer is more dangerous than silence. Comment 'predicts' and I'll send the 3 questions I'd ask before it touches a chart.

    51001.6K viewsView on X
  • Aug 14, 20265.0x their median

    A Forrester Consulting study found Algolia delivered $3.1M NPV over three years. Commissioned studies come back positive, that is not a conspiracy, that is just who paid for the study. Read the number, then ask who funded it. Ask for the churn number next. Tell me what they say.

    22101.0K viewsView on X
  • Aug 9, 20264.0x their median

    'Compliance' just quietly dropped off my topic board. AI Governance, Data Governance, and Risk Management are all climbing together in its place. One word split into three because the old one stopped working alone. Seeing this outside data infra too? Tell me. https://t.co/GRRBrG5Kd1

    3100537 viewsView on X
  • Aug 3, 20264.0x their median

    Spent today comparing vendor pitch decks against this week's actual momentum data. The gap between what's loud and what's working keeps widening. Reading a room is a DJ skill nobody teaches in procurement. Comment 'reading' and I'll send how I separate hype from real signal.

    11201.5K viewsView on X
  • Aug 2, 20264.0x their median

    Cloudera still sells perpetual on-prem licenses with an annual maintenance fee, right next to AWS, GCP, and Azure metered by the second. Old pricing models don't die when better ones ship. They die when the renewal finally comes due. Seeing the same lag in your stack? Say so.

    40001.5K 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 1 interaction against 100K followers, an engagement rate of 0.001%. Measured over 40 original posts, its engagement rate beats 4% of 3,829 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 1.1K times each, and 0.095% of those impressions turn into an interaction. That is about 1.05% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.3 post a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 40 posts sampled, 45% carry an image or video. The account's strongest tracked post pulled 28 interactions, about 28x its own typical post.

What is Yves Mulkers's engagement rate on X?
Yves Mulkers (@YvesMulkers) has an engagement rate of 0.001%, based on the median interactions across 40 original posts from the last 30 days against 99,882 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Yves Mulkers sits below the 10th percentile of the 37,071 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 @YvesMulkers have real engagement?
Its engagement rate beats 4% of the tracked X accounts closest to it in follower count (3,829 accounts), which puts it in the bottom 10% 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 @YvesMulkers post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 1.33 posts per day across the measured window.

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