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HPE Developer Community engagement report

@HPE_Developer - 163K followers on X

Measured over 9 original posts from a 30-day window, last computed on September 21, 2026.

Engagement

Bottom 10% for its size
Per follower
0.002%
of 163K followers
Per impression
0.8%
375 views on a typical post
Reach
0.23%
of its followers see a post
Typical post
3
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.3/day
active 30% of days
Peak time
14:00 UTC
Monday

A typical post picks up 3 interactions against 163K followers, an engagement rate of 0.002%. Measured over 9 original posts, its engagement rate beats 8% of 15,519 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 375 times each, and 0.8% of those impressions turn into an interaction. That is about 0.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 9 interactions, about 3.0x its own typical post.

Measured over 9 original posts from a 30-day window, last computed on September 21, 2026. Recurring tag: #hpedev.

Compared with accounts its own size

HPE Developer Community's engagement rate beats 8% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 8 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 38% 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%, HPE Developer Community sits below the 10th percentile of the 157,515 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.3%
Engagement rate as a share of followers, across the 157,515 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,033 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 percentile83.3%

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 14:00 UTC, and Monday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 link100% 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.
  • 100% 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 262 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

  • Jul 8, 20263.0x their median

    New in Chapel 2.9: support for dynamic libraries, better code editing via CLS, and advanced union types. Explore what's new in this summer release! #HighPerformanceComputing #Chapel #HPEDEV https://t.co/Awxfh7aylt https://t.co/ryXEqfB9Pr

    6300313 viewsView on X
  • Aug 12, 20262.0x their median

    Mark your calendar for the upcoming #HPEDEV meetup, where our experts will go through the latest on HPE Morpheus, the HPE Terraform provider integration, and the new Terraform provider migration tool, with live demonstrations and open Q&A. https://t.co/o8mz0lvMET https://t.co/pBlmyLzNac

    3300418 viewsView on X
  • Jul 21, 20262.0x their median

    Build your first AI agent on HPE Private Cloud AI with our easy-to-follow tutorial. No coding required: just deploy models, connect data, and go! #HPEDEV https://t.co/LYmzW0hBRg https://t.co/j5eJKPlpoh

    5100262 viewsView on X
  • Jul 6, 20262.0x their median

    Part 4 of our #HPEDEV blog series on HPE OpsRamp observability covers the complete metric ingestion path - from Redfish hardware data through the OTel Python SDK, showing the precise coordination required across the 3 layers. https://t.co/SZ6vYTBESb https://t.co/JKEU0qRXLa

    3210255 viewsView on X
  • Aug 31, 20261.7x their median

    Curious how Arkouda handles a trillion rows of data? Our new blog explores its single-pass, parallelized approach to massive data challenges — surpassing Dask in speed and efficiency. Check it out! #HPEDEV https://t.co/ydTOPQUyPt https://t.co/v7WAWwxyqp

    3200644 viewsView on X
  • Aug 10, 20261.7x their median

    Understanding AI token consumption is key to controlling costs and maximizing value. As AI becomes more agentic and complex, Tokenomics will be your new strategic language. See how. #HPEDEV https://t.co/AB5fHyc1PR https://t.co/3LQ5we2yeG

    4100354 viewsView on X
  • Jun 25, 20261.7x their median

    Migrating VMware workloads to HPE HVM? Our new blog guides you through the critical steps & tools like Veeam, RiverMeadow, & Zerto for a smooth migration. #HPEDEV https://t.co/fRTCqMBmFr https://t.co/VTG4VqvWby

    3200242 viewsView on X
  • May 21, 20261.7x their median

    In Part 3 of our series on HPE OpsRamp observability, 2 tools are introduced that help you test the entire signal pipeline - from emission to storage to query - before a single line of agent code runs. Read this #HPEDEV tutorial to learn how! https://t.co/RW5yfXhiB2 https://t.co/Hl3Qs9goWW

    3200212 viewsView on X
  • May 19, 20261.7x their median

    Shift from scripts to conversations in your storage management practices by redefining storage operations with AI and MCP. Learn more about it in this #HPEDEV blog post. https://t.co/y407NMDjzO https://t.co/kXCvn9JIFe

    3200129 viewsView on X
  • Sep 21, 2026

    Join our next HPE Developer Community 's Meetup to discover how HPE CloudOps Software – Advanced streamlines private cloud ops with integrated provisioning and observability. Automate deployment, enhance visibility, and accelerate troubleshooting. Join us! #HPEDEV https://t.co/4Y9AkGgHEu

    2200171 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

#hpedev

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 3 interactions against 163K followers, an engagement rate of 0.002%. Measured over 9 original posts, its engagement rate beats 8% of 15,519 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 375 times each, and 0.8% of those impressions turn into an interaction. That is about 0.23% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.3 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 9 interactions, about 3.0x its own typical post.

What is HPE Developer Community's engagement rate on X?
HPE Developer Community (@HPE_Developer) has an engagement rate of 0.002%, based on the median interactions across 9 original posts from the last 30 days against 163,201 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, HPE Developer Community sits below the 10th percentile of the 157,515 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 @HPE_Developer have real engagement?
Its engagement rate beats 8% of the tracked X accounts closest to it in follower count (15,519 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 @HPE_Developer post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 0.3 posts per day across the measured window.

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