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ZKsync engagement report

@zksync - 1.5M followers on X

Measured over 30 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.016%
of 1.5M followers
Per impression
0.407%
57K views on a typical post
Reach
3.91%
of its followers see a post
Typical post
232
interactions (median)
Saved
0.016%
9 bookmarks on a typical post
Posting rate
1.97/day
active 73% of days
Peak time
15:00 UTC
Monday

A typical post picks up 232 interactions against 1.5M followers, an engagement rate of 0.016%. Measured over 30 original posts, its engagement rate beats 41% of 3,739 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 57K times each, and 0.407% of those impressions turn into an interaction. That is about 3.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 30 posts sampled, 90% carry an image or video, 40% are part of a thread and 13% link out. The account's strongest tracked post pulled 3.6K interactions, about 16x its own typical post. Recurring topics include #banks, #tokenization.

Measured over 30 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #banks, #tokenization.

Compared with accounts its own size

ZKsync's engagement rate beats 41% of the tracked X accounts closest to it in follower count (3,739 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 28% 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 0.016%, ZKsync sits above the 25th percentile of the 36,261 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%
p750.431%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,137 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 percentile0.431%
90th percentile2.10%
99th percentile160.7%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 15:00 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%51K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%71K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%93K
14:00 UTC-3%96K
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%229K
Monday0%284K
Tuesday-2%273K
Wednesday-1%250K
Thursday-2%243K
Friday-3%251K
Saturday+3%226K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 13, 202616x their median

    ADI Chain has secured $50M to scale institutional blockchain infrastructure for governments, enterprises, and regulated finance. Read the announcement: https://t.co/Bsx4uLg7tB https://t.co/3o1aoiXJVX

    1.5K1.1K99420117K viewsView on X
  • Nov 13, 202512x their median

    Institutions want to build on Ethereum and leverage its incorruptibility, hard finality, and global liquidity. But many financial use-cases can’t be run on a chain where everything is public by default. Here’s how Prividium extends Ethereum for enterprises: https://t.co/wkdKzY2DUv

    1.6K397217537534K viewsView on X
  • Aug 20, 202610x their median

    Sovereignty is the future. Welcome @OpenAI

    2.2K18310141283K viewsView on X
  • Jul 30, 20263.2x their median

    We're LIVE. $GRVT is now trading across: · @grvt_io · @BinanceWallet · @CoinbaseMarkets · @okx @wallet · @Bybit_Official · @Alpha_MEXC · @kucoincom · @bitget · @LBank_Exchange And more to come. Access to composable capital begins. https://t.co/DrRDsN5M1N

    4237820627184K viewsView on X
  • Aug 18, 20262.4x their median

    TTF is now live across 350K+ Bloomberg Terminals world wide. The token transparency framework is for projects bringing trust to onchain markets. Now these projects get free perks when they file. https://t.co/KcWXkHd4SK

    369617562184K viewsView on X
  • Aug 13, 20261.8x their median

    💵💷💶💴 Bank Deposits. Onchain. Powered by Prividium. https://t.co/PWcRROoAkQ

    31245616109K viewsView on X
  • Aug 4, 20261.8x their median

    DDSC has processed AED 150M+ in institutional settlement since launch, processed under CBUAE licensing with fiat reserves held in custody at First Abu Dhabi Bank. DDSC operates exclusively on ADI Chain, and as dirham settlement grows, every dirham-based transaction will be powered by $ADI.

    18735182343K viewsView on X
  • Aug 28, 20261.7x their median

    Loading... https://t.co/pEP6ak21RJ

    3093748590K viewsView on X
  • Jul 28, 2026

    Tokenized real-world assets crossed $30 billion* in April 2026, up 420% in 16 months. The value proposition is clear: programmable ownership, near-instant settlement, 24/7 markets and access to previously illiquid asset classes. But for institutions across MENA, moving assets onchain requires more than token issuance. And speed alone is not enough. Adoption depends on infrastructure that can meet regulatory requirements across jurisdictions. It requires compliant rails for custody, identity, transfer controls and cross-border settlement. Compliance is what turns tokenization from an onchain experiment into institutional-grade financial infrastructure. More to follow. *(source: https://t.co/7Nj2ramxNU)

    16224155246K viewsView on X
  • Aug 24, 2026

    The onchain dollar is already a ~$310B market. But there is a larger opportunity sitting somewhere else: tens of trillions of bank deposits worldwide. The race to bring them onchain just started and Prividium leads. Here are the findings from the @blockworksres research 🧵 https://t.co/tP8qjQ8pqn

    2555722586K 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

#banks#tokenization

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 232 interactions against 1.5M followers, an engagement rate of 0.016%. Measured over 30 original posts, its engagement rate beats 41% of 3,739 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 57K times each, and 0.407% of those impressions turn into an interaction. That is about 3.92% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 30 posts sampled, 90% carry an image or video, 40% are part of a thread and 13% link out. The account's strongest tracked post pulled 3.6K interactions, about 16x its own typical post. Recurring topics include #banks, #tokenization.

What is ZKsync's engagement rate on X?
ZKsync (@zksync) has an engagement rate of 0.016%, based on the median interactions across 30 original posts from the last 30 days against 1,454,340 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.016%, ZKsync sits above the 25th percentile of the 36,261 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 @zksync have real engagement?
Its engagement rate beats 41% of the tracked X accounts closest to it in follower count (3,739 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 @zksync post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 1.97 posts per day across the measured window.

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