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OVHcloud US engagement report

@OVHcloud_US - 95K followers on X

Measured over 21 original posts from a 30-day window, last computed on August 25, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 95K followers
Per impression
0.168%
597 views on a typical post
Reach
0.63%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.73/day
active 60% of days
Peak time
17:00 UTC
Monday

A typical post picks up 1 interaction against 95K followers, an engagement rate of 0.001%. Measured over 21 original posts, its engagement rate beats 4% of 3,917 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 597 times each, and 0.168% of those impressions turn into an interaction. That is about 0.631% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 21 posts sampled, 95% carry an image or video and 100% link out. The account's strongest tracked post pulled 7 interactions, about 7.0x its own typical post. Recurring topics include #ovhcloudlearn, #advanced, #basic.

Measured over 21 original posts from a 30-day window, last computed on August 25, 2026. Recurring tags: #ovhcloudlearn, #advanced, #basic.

Compared with accounts its own size

OVHcloud US's engagement rate beats 4% of the tracked X accounts closest to it in follower count (3,917 accounts, accounts of similar size (decile 5 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 10% 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%, OVHcloud US sits below the 10th percentile of the 37,996 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99154.7%
Engagement rate as a share of followers, across the 37,996 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 96,714 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 percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile154.7%

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 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%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%53K
01:00 UTC-2%54K
02:00 UTC-3%52K
03:00 UTC-4%56K
04:00 UTC-6%45K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%82K
12:00 UTC-2%90K
13:00 UTC-2%99K
14:00 UTC-3%102K
15:00 UTC-2%105K
16:00 UTC-4%103K
17:00 UTC-3%95K
18:00 UTC-1%89K
19:00 UTC-2%84K
20:00 UTC-1%78K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%54K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%239K
Monday0%303K
Tuesday-3%305K
Wednesday-1%259K
Thursday-2%251K
Friday-3%260K
Saturday+3%234K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 22, 20267.0x their median

    ⭐Day 2 at @Futurist_conf 🎤Thank you to everyone that came to our fireside chat with Jeffrey Gregor and Rayan Sekhraoui as well as our side event, "@HouseofZK: Institutional Intelligence Onchain" with AJ Affatica. Let's keep the conversation going: https://t.co/nZQqbPS8S7 https://t.co/3nCq0CiqMZ

    4300668 viewsView on X
  • Jul 17, 20267.0x their median

    🌟 Exciting news! OVHcloud will be at @Futurist_conf in Toronto on July 21–22, 2026! 🎤 Join us for a fireside chat, "The Backbone Problem," on July 22 at 2:30 PM with Jeffrey Gregor & Rayan Sekhraoui. Let’s talk blockchain infrastructure: https://t.co/nZQqbPS8S7 https://t.co/9f9vAu3cCl

    61001.4K viewsView on X
  • Aug 17, 20266.0x their median

    Early infrastructure decisions shape early-stage startups. 💡The OVHcloud US Startup Program helps reduce that risk with our START level by giving startups free public cloud credits to experiment. START level details below👇  https://t.co/wTk8i5UoOI https://t.co/AsPJMRBk30

    4101529 viewsView on X
  • Jul 24, 20264.0x their median

    💡That's a wrap on @Futurist_conf Our takeaways: more teams are moving to dedicated bare metal. It solves for: → Zero egress fees → Deterministic performance for consensus-critical workloads → Hardware-level key security (TEEs) for on-chain AI agents → Predictable OpEx vs. unpredictable cloud bills 🚀Let's keep the conversation going https://t.co/rSm4vuu5MN

    1210670 viewsView on X
  • Aug 18, 20262.0x their median

    Deploy VMware while controlling your cloud spend. Public VCF as-a-Service helps you deploy faster, simplify operations, and scale confidently. 💡Get a one-month free trial with code VCFTRIAL*: https://t.co/mIii4DghK8 *See site for terms and conditions https://t.co/fxcnnaZBHu

    1010676 viewsView on X
  • Aug 14, 20262.0x their median

    VOXY's SaaS platform serves nearly 2 million users across 15 VMs, 24/7. 🚀Their rapid growth and frequent platform updates required an infrastructure that could keep pace. Here's how they cut operating costs 14% and migrated with zero disruption. 💡See how: https://t.co/lqBGjlcF4s

    0020577 viewsView on X
  • Aug 10, 20262.0x their median

    🌤️#OVHcloudLearn: Configuring vRack for public cloud #Basics The OVHcloud vRack enables you to route traffic between our dedicated servers. Learn how to activate a vRack, create a private network, and add Public Cloud instances to your private network: https://t.co/xe0aEoVN8K https://t.co/JztJdmXL9K

    2000627 viewsView on X
  • Aug 5, 20262.0x their median

    We’re excited to join @VMwareExplore 2026, where the cloud community gathers to simplify complexity and scale impact. Don’t miss the chance to learn, connect, and grow. See yo in Las Vegas! Save your seat: https://t.co/RrFI6RDTwd https://t.co/SzosWIVO7o

    1010635 viewsView on X
  • Jul 29, 20262.0x their median

    AI demand is pushing data center design into a new era. Faster GPUs matter but scaling AI isn't just about adding compute; it's about rethinking the infrastructure behind it. https://t.co/ryhXAULGEk

    2000365 viewsView on X
  • Jul 23, 20262.0x their median

    🚀Innovation waits for no one, but experimenting on live infrastructure is a risk. 🪣A sandbox gives you room to build and test freely. VPS hosts it well: dedicated resources and real isolation, with cloud-level flexibility and none of the bare metal overhead. Deploy today: https://t.co/oFdrKjaxhD

    1010771 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

#ovhcloudlearn#advanced#basic#basics#intermediate

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 1 interaction against 95K followers, an engagement rate of 0.001%. Measured over 21 original posts, its engagement rate beats 4% of 3,917 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 597 times each, and 0.168% of those impressions turn into an interaction. That is about 0.631% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.73 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 21 posts sampled, 95% carry an image or video and 100% link out. The account's strongest tracked post pulled 7 interactions, about 7.0x its own typical post. Recurring topics include #ovhcloudlearn, #advanced, #basic.

What is OVHcloud US's engagement rate on X?
OVHcloud US (@OVHcloud_US) has an engagement rate of 0.001%, based on the median interactions across 21 original posts from the last 30 days against 94,553 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, OVHcloud US sits below the 10th percentile of the 37,996 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 @OVHcloud_US have real engagement?
Its engagement rate beats 4% of the tracked X accounts closest to it in follower count (3,917 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 @OVHcloud_US post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 0.73 posts per day across the measured window.

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