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AITECH CLOUD NETWORK engagement report

@AITECHio - 441K followers on X

Measured over 81 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Middle of its size range
Per follower
0.058%
of 441K followers
Per impression
0.742%
35K views on a typical post
Reach
7.77%
of its followers see a post
Typical post
258
interactions (median)
Saved
0.049%
17 bookmarks on a typical post
Posting rate
2.87/day
active 97% of days
Peak time
08:00 UTC
Monday

A typical post picks up 258 interactions against 441K followers, an engagement rate of 0.058%. Measured over 81 original posts, its engagement rate beats 62% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 35K times each, and 0.742% of those impressions turn into an interaction. That is about 7.88% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 81 posts sampled, 83% carry an image or video and 15% link out. The account's strongest tracked post pulled 755 interactions, about 2.9x its own typical post.

Measured over 81 original posts from a 30-day window, last computed on September 23, 2026.

Compared with accounts its own size

AITECH CLOUD NETWORK's engagement rate beats 62% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 40% 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 0.058%, AITECH CLOUD NETWORK sits above the 25th percentile of the 204,956 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 08:00 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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 video83% of posts+111%+108% to +115%34K
Outbound link15% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 83% 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.
  • 15% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 405 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Apr 28, 20262.9x their median

    Solidus Ai Tech is evolving into the AITECH Cloud Network (ACN). ACN brings it all together into one system: - Compute Layer - AI Agent Orchestration Layer. - Economic Layer Check it out: https://t.co/deXIVDTJ80 https://t.co/IsiXhPJVR3

    534986162175K viewsView on X
  • Sep 7, 20262.1x their median

    The fastest provider to deploy isn't always the cheapest later. Fast onboarding feels like a win. Sign up, get access, start deploying within minutes. But speed to start says nothing about pricing structure over time: renewal rates, egress fees, or minimum commitments that only become visible after you're already running production workloads on that provider. The fastest provider to get started with and the most cost-effective one to stay with are sometimes the same. They're not the same by default.

    41912213038K viewsView on X
  • Sep 22, 20262.1x their median

    Peak demand periods aren't the same across every region. A region hitting peak load at 9 am local time is often sitting quiet twelve hours later, while another region across the world is just ramping up. Treating global compute demand as one flat curve misses this entirely, and it's exactly how teams end up short on capacity in one region while paying for idle capacity in another. Demand isn't global. It's regional, staggered, and worth planning around that way.

    40913011038K viewsView on X
  • Sep 22, 20262.1x their median

    What matters most to you in an AI agent platform?

    41910810032K viewsView on X
  • Sep 6, 20262.1x their median

    https://t.co/xW07whZm94

    38014312040K viewsView on X
  • Sep 21, 20262.0x their median

    255M+ ACN Locked! Participation across the ACN ecosystem keeps growing, with 255M+ ACN now staked and locked on-chain, up from 250M+ at our last update. Each locked token is a holder choosing to commit to the network, and the number keeps climbing. Thank you to everyone staking with us.

    39811510132K viewsView on X
  • Sep 7, 20262.0x their median

    Renewal season is when most compute costs get renegotiated. Most teams lock in a compute contract and don't revisit it until it's about to expire. That's usually the only moment real leverage exists: pricing has shifted, usage patterns are clearer, and alternatives have had time to mature since the last negotiation. Letting a contract auto-renew without checking the current market is the easiest way to keep overpaying for a rate that made sense a year ago and hasn't been questioned since.

    39610713030K viewsView on X
  • Sep 7, 20262.0x their median

    Weekly Development Update! This week's focus was on strengthening the core of the platform, stability fixes, bug resolutions, and runtime improvements across both platforms to keep performance solid and reliable as usage continues to grow. Have feedback or noticed something that needs fixing? Reach out to the team via PM or email; we'd love to hear from you.

    37612010030K viewsView on X
  • Sep 6, 20262.0x their median

    Momentum is easier to measure than progress. Shipping frequently, announcing updates, staying visible- all of that is easy to track and easy to feel good about. Whether any of it is actually moving the product toward something better is a harder, slower question, and one that doesn't show up on the same dashboards. Momentum keeps a team feeling productive. Progress is the only thing that actually compounds. Confusing the two is how teams stay busy without getting anywhere.

    3791178036K viewsView on X
  • Sep 21, 20261.9x their median

    Open-source models are free to download. Not free to run. Downloading an open-source model costs nothing. Running it reliably, at scale, with the compute and uptime a business actually needs, costs real money and real infrastructure. "Free" was never really about the model. It was always about what it takes to run it.

    36812013038K 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 258 interactions against 441K followers, an engagement rate of 0.058%. Measured over 81 original posts, its engagement rate beats 62% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 35K times each, and 0.742% of those impressions turn into an interaction. That is about 7.88% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 08:00 UTC, and Monday is the busiest day of the week. Of the 81 posts sampled, 83% carry an image or video and 15% link out. The account's strongest tracked post pulled 755 interactions, about 2.9x its own typical post.

What is AITECH CLOUD NETWORK's engagement rate on X?
AITECH CLOUD NETWORK (@AITECHio) has an engagement rate of 0.058%, based on the median interactions across 81 original posts from the last 30 days against 441,001 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.058%, AITECH CLOUD NETWORK sits above the 25th percentile of the 204,956 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 @AITECHio have real engagement?
Its engagement rate beats 62% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range 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 @AITECHio post?
Most posts go out around 08:00 UTC, and Monday is its busiest day, at roughly 2.87 posts per day across the measured window.

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