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Multiversᕽ engagement report

@MultiversX - 976K followers on X

Measured over 52 original posts from a 30-day window, last computed on August 26, 2026.

Engagement

Middle of its size range
Per follower
0.019%
of 976K followers
Per impression
0.975%
19K views on a typical post
Reach
1.95%
of its followers see a post
Typical post
186
interactions (median)
Saved
0.011%
2 bookmarks on a typical post
Posting rate
3.8/day
active 90% of days
Peak time
17:00 UTC
Monday

A typical post picks up 186 interactions against 976K followers, an engagement rate of 0.019%. Measured over 52 original posts, its engagement rate beats 44% of 3,758 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 19K times each, and 0.975% of those impressions turn into an interaction. That is about 1.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 52 posts sampled, 75% carry an image or video, 12% are part of a thread and 29% link out. The account's strongest tracked post pulled 15K interactions, about 82x its own typical post. Recurring topics include #multiversxtech, #multiversx, #ai.

Measured over 52 original posts from a 30-day window, last computed on August 26, 2026. Recurring tags: #multiversxtech, #multiversx, #ai.

Compared with accounts its own size

Multiversᕽ's engagement rate beats 44% of the tracked X accounts closest to it in follower count (3,758 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 50% 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 0.019%, Multiversᕽ sits above the 25th percentile of the 36,378 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%
p750.432%
p902.10%
p99161.0%
Engagement rate as a share of followers, across the 36,378 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,364 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 percentile0.432%
90th percentile2.10%
99th percentile161.0%

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 17:00 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: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
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+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 1, 202682x their median

    JUST IN: Bitcoin stolen from Coldcard hardware wallet hack now exceeds $88,000,000.

    13K1.4K8035913.7M viewsView on X
  • Aug 14, 20265.1x their median

    27 days.

    6331461442988K viewsView on X
  • Aug 21, 20264.2x their median

    Yesterday our Devnet started producing ten blocks in the same time it used to take to make one. 6s → 600ms Supernova is the largest upgrade in our history. Sub-second finality, with the same validators, the same security, and the same low fees. The internet-scale blockchain. https://t.co/9FeNVyLPLM

    573175281337K viewsView on X
  • Aug 19, 20264.1x their median

    Supernova is landing on Devnet. Tomorrow at 14:25 UTC. https://t.co/lTiQQ4h5AT

    557157401443K viewsView on X
  • Jul 30, 20264.1x their median

    Six years ago today, the mainnet went live. July 30, 2020. Adaptive State Sharding, running in production. Back then, this wasn't a shipping decision. It was a research direction. The biggest objection was always the same: cross-shard composability and atomicity. It was a fair objection. Six years of continuous block production is the answer. ────────── That pattern keeps repeating. Most things this industry calls impossible are not impossible. They are simply unsolved within the architecture someone happens to be standing in. For more than a decade, horizontal scalability and fast finality were treated as opposing goals. That was never a law of distributed systems. It was one design choice, held long enough that people mistook it for physics. We made a different choice. Then we made it again. ────────── The next shift is one most blockchain infrastructure was never designed for. Chains were built around human cadence. A person clicks. Waits a few seconds. Accepts the result. That assumption is embedded in block times, mempool design, and fee markets across the industry. Autonomous systems don't behave that way. They run concurrent decision loops. Throughput scales with the number of agents, not the number of users. When multiple agents react to the same on-chain event, ordering determines who captures the value. An ordering process slower than the arrival rate stops being a queue and becomes a target. A chain built for human cadence will serve machine workloads the way dial-up served video. ────────── Supernova is the answer. And the mechanism is the point. Execution is no longer a prerequisite for consensus. Propose. Vote. Finalize. Execution runs asynchronously and is notarized in a following header. Finality now measures propagation and vote aggregation. It no longer measures how heavy the transactions were. Six seconds to 600 milliseconds. Intra-shard finality in the 100–250 millisecond range. On the same hardware floor. That last line is the entire argument. Latency achieved by demanding more from validators isn't scaling. It's centralization with a benchmark attached. 600ms is the starting point. ────────── Markets reward narrative in the short run. Architecture in the long run. Six years in, architecture is what compounded. The next cycle won't ask whether a chain is fast. It will ask whether a chain can be trusted to order a machine economy. We've spent six years building for exactly that question. ────────── Six years of mainnet. Together. To the validators who kept the network honest through every upgrade. To the builders who shipped on an unproven chain because they understood the design and believed in it. To the community that stayed through the quiet years the years that ultimately decide these things. Thank you. To a greater future for EGLD. And for the entire industry.

    546147561430K viewsView on X
  • Aug 20, 20263.3x their median

    Supernova is live on Devnet. Mainnet Upgrade begins September 1. Activation September 10. https://t.co/eeCJP6fk7X

    46912227380K viewsView on X
  • Jul 30, 20263.3x their median

    Six years ago today, at 14:00:06 UTC, block 1 landed on shard 0. 126,089,930 blocks since. 618,541,332 transactions and counting. Six years live. https://t.co/VkWhta2wIA

    46412127839K viewsView on X
  • Aug 4, 20262.9x their median

    An account on MultiversX has its seed phrase printed in a public profile, next to the words “try it.” Seventy-three addresses have put money into it anyway. Two and a half years and two hundred break-in attempts later, the money is still there. https://t.co/sLewKKM5ZK

    3631242226145K viewsView on X
  • Aug 24, 20262.7x their median

    On September 10, Supernova rings in a new era for the network. The machines running the network are still the same. https://t.co/yQeabPsOd5

    36910724972K viewsView on X
  • Jun 9, 20262.4x their median

    https://t.co/mNhEIlmBH5

    31393331465K 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

#multiversxtech#multiversx#ai

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 186 interactions against 976K followers, an engagement rate of 0.019%. Measured over 52 original posts, its engagement rate beats 44% of 3,758 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 19K times each, and 0.975% of those impressions turn into an interaction. That is about 1.95% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 52 posts sampled, 75% carry an image or video, 12% are part of a thread and 29% link out. The account's strongest tracked post pulled 15K interactions, about 82x its own typical post. Recurring topics include #multiversxtech, #multiversx, #ai.

What is Multiversᕽ's engagement rate on X?
Multiversᕽ (@MultiversX) has an engagement rate of 0.019%, based on the median interactions across 52 original posts from the last 30 days against 976,279 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.019%, Multiversᕽ sits above the 25th percentile of the 36,378 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 @MultiversX have real engagement?
Its engagement rate beats 44% of the tracked X accounts closest to it in follower count (3,758 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 @MultiversX post?
Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 3.8 posts per day across the measured window.

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