HPE Developer Community engagement report
@HPE_Developer - 163K followers on X
Measured over 6 original posts from a 30-day window, last computed on October 24, 2026.
Engagement
Early reading. We have captured 6 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 4 interactions against 163K followers, an engagement rate of 0.003%. Posts are seen about 327 times each, and 1.38% of those impressions turn into an interaction. That is about 0.201% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 10 interactions, about 2.5x its own typical post. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 6 original posts from a 30-day window, last computed on October 24, 2026. Recurring tag: #hpedev.
Where this sits in the catalog
At 0.003%, HPE Developer Community sits below the 10th percentile of the 212,349 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.696% |
| 90th percentile | 2.61% |
| 99th percentile | 83.1% |
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 13:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% 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 267 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 30, 20262.5x their median
Chapel 2.10 is here! This release brings complete and productive union types, stack traces for thrown errors, and expanded public testing through GitHub Actions. Explore the highlights and see what’s new. #HPEDEV https://t.co/LjcRYfznwo https://t.co/8PolisNi3u
- Jul 8, 20262.3x 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
- Sep 28, 20261.5x their median
What happens when an AI coding-agent harness moves from TypeScript to Go? PiG is the result: a native, portable runtime with multi-language extension support, named agent compositions, and a growing focus on parity with Pi. Read the story. https://t.co/1CsqVGCWCu #HPEDEV https://t.co/MpPpr1Y6S7
- Sep 25, 20261.5x their median
Discover how purpose-built compute is transforming edge AI—delivering secure, resilient, and mission-specific infrastructure that turns data into actionable insights right where decisions happen. Read more! #HPEDEV https://t.co/pU1T9hiclB https://t.co/XYEPMLt9kB
- Aug 12, 20261.5x 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
- 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
- Aug 31, 2026
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
- Aug 10, 2026
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
- Jul 21, 2026
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
- Jul 6, 2026
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
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
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 4 interactions against 163K followers, an engagement rate of 0.003%. Posts are seen about 327 times each, and 1.38% of those impressions turn into an interaction. That is about 0.201% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 13:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 10 interactions, about 2.5x its own typical post. Only 6 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is HPE Developer Community's engagement rate on X?
- HPE Developer Community (@HPE_Developer) has an engagement rate of 0.003%, based on the median interactions across 6 original posts from the last 30 days against 163,027 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.003%, HPE Developer Community sits below the 10th percentile of the 212,349 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?
- There is not yet enough sample to rank this account against others of its size.
- When does @HPE_Developer post?
- Most posts go out around 13:00 UTC, and Monday is its busiest day, at roughly 0.2 posts per day across the measured window.