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Qtum engagement report

@qtum - 270K followers on X

Measured over 12 original posts from a 30-day window, last computed on October 27, 2026.

Engagement

Middle of its size range
Per follower
0.028%
of 270K followers
Per impression
1.06%
7.0K views on a typical post
Reach
2.61%
of its followers see a post
Typical post
74
interactions (median)
Saved
0.028%
2 bookmarks on a typical post
Posting rate
0.53/day
active 40% of days
Peak time
01:00 UTC
Tuesday

A typical post picks up 74 interactions against 270K followers, an engagement rate of 0.028%. Measured over 12 original posts, its engagement rate beats 37% of 21,624 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 7.0K times each, and 1.06% of those impressions turn into an interaction. That is about 2.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 01:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video, 8% are part of a thread and 67% link out. The account's strongest tracked post pulled 662 interactions, about 11x its own typical post.

Measured over 12 original posts from a 30-day window, last computed on October 27, 2026.

Compared with accounts its own size

Qtum's engagement rate beats 37% of the tracked X accounts closest to it in follower count (21,624 accounts, accounts of similar size (decile 9 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 44% 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%, Qtum sits above the 25th percentile of the 218,281 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.149%.

p100.004%
p250.025%
p50 (median)0.149%
p750.705%
p902.63%
p9982.5%
Engagement rate as a share of followers, across the 218,281 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,721 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 percentile0.025%
50th percentile0.149%
75th percentile0.705%
90th percentile2.63%
99th percentile82.5%

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 01:00 UTC, and Tuesday 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video58% of posts+111%+108% to +115%34K
Outbound link67% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 58% 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.
  • 67% 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 238 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 20, 202611x their median

    💥 Lightning Network is Bitcoin's killer app Ethereum 15 TPS 🤪 PayPal 200 TPS 😭 Visa 24,000 TPS 😬 Solana 65k TPS 😶 Lightning 40,000,000 TPS 🤯 Altcoins and legacy payment can't compete. Higher transaction throughput at lower cost + global access. https://t.co/aaHEhBCxuV

    453811181092K viewsView on X
  • Mar 18, 20222.9x their median

    Zcash on Qtum. Learn about the Phantom Protocol from the white paper: https://t.co/C2g0GMDdUX

    18221123View on X
  • Oct 3, 20261.7x their median

    We will begin research on Lightning Network and how it would operate on Qtum. The protocol claims millions to billions of transactions per second. Transactions are very cheap, enabling micro transactions. We believe this could be a useful addition to Qtum, what do you think? https://t.co/MGy3hhKla6

    90142507.7K viewsView on X
  • Oct 9, 2026

    Congrats to @LBank_Exchange for 11 years of operation! Thanks for all the help in the past supporting our many software updates and hard fork, we appreciate it. Happy Anniversary! https://t.co/G7R2IBtr2p

    511940017K viewsView on X
  • Sep 29, 2026

    Qwen 3.8 27b is live at https://t.co/PwQQ2cOq3q $0.08 / 1M Output $0.01 / 1M Input 262k Context, Vision Enabled, 128k Max Output Full 16Bit precision. No signup required, no monthly subscription, no minimum purchase. Pay only for what you use. https://t.co/efucgALy6C

    8581307.5K viewsView on X
  • Sep 30, 2026

    We modified a prompt shared by @umesh_ai to give a special ending and ran it through the https://t.co/PwQQ2cOq3q Video Studio. Video rendered with MiniMax H3, prompt in the comments below! https://t.co/QJqoe8TgA1

    62112116.6K viewsView on X
  • Aug 28, 2026

    WAN 3.0-Video from @Alibaba_Wan is now available on the Qtum AI Router and Qtum Video Studio. No signup required. Up to 30 second videos. 480p, 720p, 1080p Costs far less than Seedance 2.5 The 30s 720p video below cost 2.4 Qtum: https://t.co/cTRWZSGGG2

    6461707.2K viewsView on X
  • Aug 27, 2026

    Test transfer of 25 $USDC from Sepolia to Qtum Testnet took about 1 minute on the Qtum Bridge. Not too bad! https://t.co/WXDUoCa9Re

    6381307.3K viewsView on X
  • Sep 15, 2026

    We added Qwen 3.8 27b to the Qtum AI Router $0.30 / 1m tokens in | $1.18 / 1m tokens out 262k Context, vision enabled. 55 token/s. FP16 quant. This model sees about 260 billion tokens / week on OpenRouter served for $2.00 per 1m tokens out. https://t.co/uYPCb4uKSP

    50101806.4K viewsView on X
  • Oct 5, 2026

    Great to see such a healthy network weight: 20,597,829 This is what keeps the network healthy and resistant to 51% attacks. It also helps keep the average block time parked at 32 seconds, right where it should be.

    5971107.7K 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 74 interactions against 270K followers, an engagement rate of 0.028%. Measured over 12 original posts, its engagement rate beats 37% of 21,624 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 7.0K times each, and 1.06% of those impressions turn into an interaction. That is about 2.61% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.53 post a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 01:00 UTC, and Tuesday is the busiest day of the week. Of the 12 posts sampled, 58% carry an image or video, 8% are part of a thread and 67% link out. The account's strongest tracked post pulled 662 interactions, about 11x its own typical post.

What is Qtum's engagement rate on X?
Qtum (@qtum) has an engagement rate of 0.028%, based on the median interactions across 12 original posts from the last 30 days against 270,244 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.028%, Qtum sits above the 25th percentile of the 218,281 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 @qtum have real engagement?
Its engagement rate beats 37% of the tracked X accounts closest to it in follower count (21,624 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 @qtum post?
Most posts go out around 01:00 UTC, and Tuesday is its busiest day, at roughly 0.53 posts per day across the measured window.

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