Back to @MuleSoft's profile

MuleSoft engagement report

@MuleSoft - 88K followers on X

Measured over 54 original posts from a 30-day window, last computed on September 26, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 88K followers
Per impression
0.274%
730 views on a typical post
Reach
0.83%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.8/day
active 67% of days
Peak time
17:00 UTC
Wednesday

A typical post picks up 2 interactions against 88K followers, an engagement rate of 0.002%. Measured over 54 original posts, its engagement rate beats 7% of 21,185 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 730 times each, and 0.274% of those impressions turn into an interaction. That is about 0.832% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 54 posts sampled, 100% carry an image or video and 89% link out. The account's strongest tracked post pulled 12 interactions, about 6.0x its own typical post.

Measured over 54 original posts from a 30-day window, last computed on September 26, 2026. Recurring tag: #df26.

Compared with accounts its own size

MuleSoft's engagement rate beats 7% of the tracked X accounts closest to it in follower count (21,185 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 14% 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 0.002%, MuleSoft sits below the 10th percentile of the 213,282 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,282 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,403 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 percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 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: 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 link89% 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.
  • 89% 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 265 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 16, 20266.0x their median

    Day 1 had us saying YEAH! 🙌 We kicked off #DF26 with packed sessions, live demos, buckets at our campground, and Muleys bringing the energy across campus. Next up: the Agent Fabric Keynote tomorrow at 3:30 PM PT. Let’s do it all again: https://t.co/Ixg8gE2FiG https://t.co/URfoRXJxOH

    110101.5K viewsView on X
  • Sep 14, 20265.0x their median

    On our way to #DF26! See you soon 💙 https://t.co/YOKYjHt1Lv

    90101.1K viewsView on X
  • Sep 21, 20264.5x their median

    Your terminal just got a direct line to MuleSoft. 👀 Connect Claude Code to the MuleSoft Platform MCP Server to discover APIs, investigate token spend, monitor performance, and apply policies without breaking your flow. Follow the step-by-step guide: https://t.co/epWT00bra3 https://t.co/jlhUAfhg1B

    62101.3K viewsView on X
  • Sep 24, 20264.0x their median

    Think you know how many agents your company has? One customer thought they had 600. Agent Fabric discovered 3,000. Ashley Hathaway breaks down why finding your agents is the first step to governing them at #DF26. Watch the full MuleSoft keynote: https://t.co/fLtzxWQ5Fq https://t.co/HlBliVw1Zm

    41301.2K viewsView on X
  • Sep 17, 20263.5x their median

    A Golden Hoodie for a golden Muley. 💛✨ For years, AT&T’s Brad Ringer has been an incredible MuleSoft ambassador, championing our community and showing what’s possible when connection goes beyond technology. Thank you for everything you do for the MuleSoft Community. https://t.co/cmVzi9i1tS

    70001.3K viewsView on X
  • Sep 17, 20263.5x their median

    No doubt about it: Day 2 belonged to Agent Fabric. Of course, we couldn’t do it without our MuleSoft community, customers, and partners showing up big. One more day of #DF26. Let’s make it count: https://t.co/qU4mr5QQtu https://t.co/Z0n5FcFeZ6

    70001.0K viewsView on X
  • Sep 18, 20263.0x their median

    These are our confessions: we’re not ready for #DF26 to end. 💙 Want to relive it all over again? Catch the MuleSoft Keynote on Salesforce+: https://t.co/BUCcarokbf https://t.co/K8No0DytGs

    50011.6K viewsView on X
  • Sep 15, 20263.0x their median

    A true horror story: no visibility, no guardrails, no cost controls. 😱 Don’t let runaway agents become your origin story. Bring them under control with Agent Fabric. https://t.co/6w46tDjePc

    6000803 viewsView on X
  • Sep 15, 20263.0x their median

    🃏 The pulls are in. Start your collection at our demo booths across #DF26. Then head to the MuleSoft Keynote to collect the exclusive Agent Fabric card and complete the set. Add the Agent Fabric keynote to your agenda: https://t.co/gPnm4LvVB5 https://t.co/SMD9zk1HCW

    6000773 viewsView on X
  • Sep 14, 20263.0x their median

    Most enterprise systems were built for humans behind a browser. A headless architecture changes that by making business capabilities available to humans and agents across any channel. Create a programmable, governed foundation for the agentic enterprise: https://t.co/ntrihuG22c https://t.co/B2sipfJxZF

    5010743 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

#df26

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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 2 interactions against 88K followers, an engagement rate of 0.002%. Measured over 54 original posts, its engagement rate beats 7% of 21,185 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 730 times each, and 0.274% of those impressions turn into an interaction. That is about 0.832% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 54 posts sampled, 100% carry an image or video and 89% link out. The account's strongest tracked post pulled 12 interactions, about 6.0x its own typical post.

What is MuleSoft's engagement rate on X?
MuleSoft (@MuleSoft) has an engagement rate of 0.002%, based on the median interactions across 54 original posts from the last 30 days against 87,764 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, MuleSoft sits below the 10th percentile of the 213,282 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 @MuleSoft have real engagement?
Its engagement rate beats 7% of the tracked X accounts closest to it in follower count (21,185 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 @MuleSoft post?
Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 1.8 posts per day across the measured window.

Keep going