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Qtum engagement report

@qtum - 270K followers on X

Measured over 17 original posts from a 30-day window, last computed on September 22, 2026.

Engagement

Middle of its size range
Per follower
0.021%
of 270K followers
Per impression
0.875%
6.6K views on a typical post
Reach
2.44%
of its followers see a post
Typical post
58
interactions (median)
Saved
0.015%
1 bookmarks on a typical post
Posting rate
1/day
active 60% of days
Peak time
00:00 UTC
Monday

A typical post picks up 58 interactions against 270K followers, an engagement rate of 0.021%. Measured over 17 original posts, its engagement rate beats 33% 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 6.6K times each, and 0.875% of those impressions turn into an interaction. That is about 2.45% 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 60% of days. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 17 posts sampled, 88% carry an image or video, 12% are part of a thread and 29% link out. The account's strongest tracked post pulled 662 interactions, about 11x its own typical post.

Measured over 17 original posts from a 30-day window, last computed on September 22, 2026.

Compared with accounts its own size

Qtum's engagement rate beats 33% of the tracked X accounts closest to it in follower count (20,444 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 39% 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 0.021%, Qtum sits above the 10th percentile of the 205,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 00:00 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: 00:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 00:00 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 video88% of posts+111%+108% to +115%34K
Outbound link29% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 88% 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.
  • 29% 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 341 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

  • 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, 20223.8x their median

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

    18321123View on X
  • Aug 28, 20261.5x their median

    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

    6371707.1K 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

    6271307.3K 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

    4791806.1K viewsView on X
  • Sep 15, 2026

    Here's Qwen 3.8 27b in action using the DeepSeek harness. This is self-hosted from our facility. 55-65 tokens per second. Text go woosh. This is FP16 precision 262k context vision enabled. We will be adding more open weight models soon, next up will be Qwen 3.8 Flash Next hosted on our own hardware. We're using a few hundred RTX 4090D 48gb cards to make this work. The price for this model is $1.18 per 1m tokens output. We will likely add 2 more models over the next couple weeks.

    4661505.7K viewsView on X
  • Sep 3, 2026

    2 days ago we released a solidity/EVM auditing model on @huggingface aimed at helping people (and bots) audit their smart contracts. This is a trained version of Qwen3 Coder 35b. https://t.co/hgTAudxvV0 About 1000 downloads so far. Give it a try if you're looking to get another set of eyes on your work before sending it off to get officially audited.

    496605.2K viewsView on X
  • Jul 22, 2026

    We are happy to announce our 51st wallet release: Qtum Core v30.2 Thank you to the Qtum Core Team! https://t.co/E9LAjK2eIV This is a recommended update. Not a hard fork. This update keeps Qtum up to date with the latest Bitcoin Core 29.2, 30.0, 30.1, and 30.2 updates.

    428917.7K viewsView on X
  • Sep 18, 2026

    We've lowered the price of Qwen 3.8 27b on the Qtum API Router $0.02 Input / 1m $0.24 Output / 1m Compare with $0.15 in / $2.00 out on other providers. 262k Context / 128k Max Out / FP16 Precision / Vision Enabled Usage is paid with Qtum. No minimum purchase. No need to sign up or register. No need to carry a balance to access this price. This is being hosted at our facility with our own hardware. We're not training anything with your data. We may implement usage caps (or bans) if we start getting resold.

    40108111K viewsView on X
  • Sep 9, 2026

    DreamZo will be getting more video and image models in the next few days, which will give a bit more flexibility to creators. We one-prompted this short video of some "time traveling influencers" who found themselves at the center of a major turning point in history. All of the character references, sounds, and scenery were automatically generated by DreamZo. All you have to do is approve or alter each piece before generating out the video, it's that easy!

    4151306.1K 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 58 interactions against 270K followers, an engagement rate of 0.021%. Measured over 17 original posts, its engagement rate beats 33% 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 6.6K times each, and 0.875% of those impressions turn into an interaction. That is about 2.45% 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 60% of days. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 17 posts sampled, 88% carry an image or video, 12% are part of a thread and 29% 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 0.021%, based on the median interactions across 17 original posts from the last 30 days against 270,321 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.021%, Qtum sits above the 10th percentile of the 205,374 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 33% 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 @qtum post?
Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 1 posts per day across the measured window.

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