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VeChain engagement report

@vechainofficial - 615K followers on X

Measured over 8 original posts from a 30-day window, last computed on August 26, 2026.

Engagement

Middle of its size range
Per follower
0.028%
of 615K followers
Per impression
0.7%
24K views on a typical post
Reach
3.93%
of its followers see a post
Typical post
170
interactions (median)
Saved
0.01%
2 bookmarks on a typical post
Posting rate
1.03/day
active 53% of days
Peak time
12:00 UTC
Monday

A typical post picks up 170 interactions against 615K followers, an engagement rate of 0.028%. Measured over 8 original posts, its engagement rate beats 49% of 3,829 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 24K times each, and 0.7% of those impressions turn into an interaction. That is about 3.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 63% carry an image or video, 13% are part of a thread and 25% link out. The account's strongest tracked post pulled 451 interactions, about 2.7x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on August 26, 2026. Recurring tag: #vechain.

Compared with accounts its own size

VeChain's engagement rate beats 49% of the tracked X accounts closest to it in follower count (3,829 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 43% 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 0.028%, VeChain sits above the 25th percentile of the 37,071 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99158.3%
Engagement rate as a share of followers, across the 37,071 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,527 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 percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile158.3%

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 12:00 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: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 12:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%71K
10:00 UTC-2%73K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-2%92K
18:00 UTC-1%86K
19:00 UTC-2%81K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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%234K
Monday0%294K
Tuesday-3%288K
Wednesday-1%253K
Thursday-2%247K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 21, 20262.7x their median

    GM, crypto 🟩 The only path is forward. Keep building. $BTC $VET

    3785516223K viewsView on X
  • Jul 16, 20262.6x their median

    ICYMI: @VeWorldAI is now live, introducing a new AI agent platform to VeChain's roster of blockchain ecosystems that also include enterprise and sustainability applications. Powered by AgentSuite, the product logic is simple: - AgentForge builds agents without code - AgentMarket is your customer 'storefront' - AgentTrust brings transparency & trust, via blockchain Turn abundant intelligence into an agent that can work for you 24/7, powered by the things you know best. The intelligence revolution is here, and yours for the taking. Give it a try - the first 30 days is on us! Link in the comments 🫡

    3456822021K viewsView on X
  • Jul 15, 20262.4x their median

    🧐 https://t.co/qfmVANk1kR

    329689529K viewsView on X
  • Aug 5, 20262.4x their median

    https://t.co/dj9GivCklJ

    28197191367K viewsView on X
  • Jul 9, 20261.9x their median

    A Tokyo local spent decades learning streets no guidebook covers. Now that knowledge works as an AI Agent, hired by travelers anywhere, any hour, for the price of a coffee. Built on AgentForge, live on AgentMarket. What do you know that is worth hiring out? Your future awaits. https://t.co/nCowAd7OM2

    21210210544K viewsView on X
  • Aug 13, 20261.7x their median

    🚨VeWorld feature drop🚨 The latest upgrade to the VeWorld browser extension lets you unlock wallets with passkeys, delivering superior security & enhanced user experience. Which features do you want to see in future updates? 👇 Now available on the Chrome Web Store. https://t.co/VlUucvzNUr

    2364610129K viewsView on X
  • Jul 16, 20261.6x their median

    VeWorld(.)ai is live! We’re excited to see so many of you exploring & building your own agents 😍 Next Monday we’re hosting an X Space to share insights about AgentSuite, including why blockchain, community Qs, & see some awesome agents running on $VET. https://t.co/bxv4Tf9rFr

    211504857K viewsView on X
  • Jul 1, 2026

    If you can explain what you know to a friend, you can build an AI Agent from it. B3MO now walks you through the process using a built-in guide, turning your expertise into a working agent on AgentSuite. No invite yet? Register at https://t.co/VONEzB93Bx for early access. https://t.co/0w9qmkBr4v

    192404655K viewsView on X
  • Aug 19, 2026

    https://t.co/NAS2qmlKlH

    185365651K viewsView on X
  • Jul 10, 2026

    Chatbots, and agents.. what's the difference, and how will agents revolutionize the way you do work? Hint: Massively 😎 https://t.co/OvVKTRGNTb

    157272019K 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

#vechain

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 X accounts - escrow-protected

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

Reading these numbers

A typical post picks up 170 interactions against 615K followers, an engagement rate of 0.028%. Measured over 8 original posts, its engagement rate beats 49% of 3,829 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 24K times each, and 0.7% of those impressions turn into an interaction. That is about 3.94% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 12:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 63% carry an image or video, 13% are part of a thread and 25% link out. The account's strongest tracked post pulled 451 interactions, about 2.7x its own typical post.

What is VeChain's engagement rate on X?
VeChain (@vechainofficial) has an engagement rate of 0.028%, based on the median interactions across 8 original posts from the last 30 days against 614,789 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.028%, VeChain sits above the 25th percentile of the 37,071 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 @vechainofficial have real engagement?
Its engagement rate beats 49% of the tracked X accounts closest to it in follower count (3,829 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 @vechainofficial post?
Most posts go out around 12:00 UTC, and Monday is its busiest day, at roughly 1.03 posts per day across the measured window.

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