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DIAM engagement report

@diamante_io - 265K followers on X

Measured over 19 original posts from a 30-day window, last computed on October 21, 2026.

Engagement

Middle of its size range
Per follower
0.029%
of 265K followers
Per impression
1.13%
7.1K views on a typical post
Reach
2.61%
of its followers see a post
Typical post
80
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.8/day
active 67% of days
Peak time
16:00 UTC
Monday

A typical post picks up 80 interactions against 265K followers, an engagement rate of 0.029%. Measured over 19 original posts, its engagement rate beats 38% of 21,185 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 7.1K times each, and 1.13% of those impressions turn into an interaction. That is about 2.67% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 84% carry an image or video and 5% are part of a thread. The account's strongest tracked post pulled 682 interactions, about 7.8x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on October 21, 2026. Recurring tag: #diamante.

Compared with accounts its own size

DIAM's engagement rate beats 38% of the tracked X accounts closest to it in follower count (21,185 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 46% 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 0.029%, DIAM sits above the 25th percentile of the 213,186 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.9%
Engagement rate as a share of followers, across the 213,186 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,400 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 percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.9%

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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video84% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 84% 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.
  • 0% 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 666 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

  • Jun 29, 20267.8x their median

    Most security models are built on what computers can’t do today. Quantum shifts that boundary. And when the boundary moves, so does everything relying on it.

    428272131412K viewsView on X
  • Jun 30, 20267.7x their median

    The future of blockchain won’t run on one environment. Different industries require different systems. Different developers require different tools. Different applications require different execution models. That’s why isolated ecosystems eventually hit limits. Diamante approaches this differently through multi-VM execution on one settlement layer, allowing native apps, enterprise logic, and EVM-compatible applications to coexist without rebuilding from scratch. Because the future isn’t about forcing everyone into one standard. It’s about making systems work together seamlessly.

    423222161023K viewsView on X
  • Jul 3, 20267.2x their median

    https://t.co/bsn01NlC2E

    374481961017K viewsView on X
  • Jul 6, 20266.9x their median

    Every technological revolution has its infrastructure layer. Quantum won't be any different.

    337232271617K viewsView on X
  • Jul 8, 20266.9x their median

    One day, "quantum-safe" won't be a feature. It'll be the minimum standard.

    306272501818K viewsView on X
  • Jul 3, 20266.8x their median

    You can wait until quantum is mainstream. Or you can understand who's building for it today.

    359192011522K viewsView on X
  • Jul 2, 20266.6x their median

    Everyone talks about the future, but only the builders are actually shipping it. Join our upcoming space hosting Diamante Creators and talking about: • Ecosystem alpha • Builder updates • Quantum takes • What’s shipping next Bring your questions & set your reminders: https://t.co/NUdmYD4DMz

    37515179816K viewsView on X
  • Jul 21, 20266.3x their median

    What do Amazon, NVIDIA, SpaceX, and IonQ all have in common? They didn't become some of the world's most valuable technology companies by solving today's problems. They invested years building for tomorrow's. Amazon built cloud infrastructure before most businesses understood why it mattered. NVIDIA spent years developing AI hardware long before artificial intelligence became a household conversation. SpaceX pursued reusable rockets when even Elon Musk reportedly questioned whether the company would survive. IonQ has attracted billions in market value because investors believe quantum computing will become foundational technology, not because that future has already arrived. The common thread isn't luck. It's conviction. The willingness to build for a future that most people can't see yet. That's the approach we've taken with Diamante. We believe quantum computing will fundamentally reshape blockchain infrastructure over the coming decade. Rather than waiting for that shift, we've spent years building for it. $DIAM powers that network. History rarely rewards the people who wait until the future feels obvious. It rewards the people who started building long before everyone else believed.

    36820152718K viewsView on X
  • Jul 9, 20266.3x their median

    They were often made by the people selling the picks and shovels. Every technological revolution creates the same opportunity. The internet created Cisco. Cloud created Amazon Web Services. AI created NVIDIA. Infrastructure often becomes just as valuable as the applications built on top of it. We believe quantum computing will follow a similar path. As blockchain begins preparing for a post-quantum future, the conversation shifts from whether quantum matters to what infrastructure is already built for it. That's where Diam has spent years focusing. $DIAM isn't simply part of the ecosystem. It's the asset that powers the infrastructure we've been building from the beginning. History tends to reward the technologies that become indispensable, not just the ones that become popular.

    307172091448K viewsView on X
  • Jul 10, 20266.2x their median

    Quantum isn't replacing blockchain. It's redefining what secure blockchain looks like.

    32013200816K 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

#diamante

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 80 interactions against 265K followers, an engagement rate of 0.029%. Measured over 19 original posts, its engagement rate beats 38% of 21,185 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 7.1K times each, and 1.13% of those impressions turn into an interaction. That is about 2.67% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.8 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 84% carry an image or video and 5% are part of a thread. The account's strongest tracked post pulled 682 interactions, about 7.8x its own typical post.

What is DIAM's engagement rate on X?
DIAM (@diamante_io) has an engagement rate of 0.029%, based on the median interactions across 19 original posts from the last 30 days against 265,316 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.029%, DIAM sits above the 25th percentile of the 213,186 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 @diamante_io have real engagement?
Its engagement rate beats 38% of the tracked X accounts closest to it in follower count (21,185 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 @diamante_io post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 0.8 posts per day across the measured window.

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