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YZi Labs engagement report

@yzilabs - 752K followers on X

Measured over 17 original posts from a 30-day window, last computed on September 29, 2026.

Engagement

Middle of its size range
Per follower
0.018%
of 752K followers
Per impression
0.464%
29K views on a typical post
Reach
3.82%
of its followers see a post
Typical post
134
interactions (median)
Saved
0.028%
8 bookmarks on a typical post
Posting rate
0.97/day
active 60% of days
Peak time
14:00 UTC
Tuesday

A typical post picks up 134 interactions against 752K followers, an engagement rate of 0.018%. Measured over 17 original posts, its engagement rate beats 42% 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 29K times each, and 0.464% of those impressions turn into an interaction. That is about 3.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 17 posts sampled, 94% carry an image or video, 12% are part of a thread and 24% link out. The account's strongest tracked post pulled 728 interactions, about 5.4x its own typical post.

Measured over 17 original posts from a 30-day window, last computed on September 29, 2026.

Compared with accounts its own size

YZi Labs's engagement rate beats 42% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 29% 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 0.018%, YZi Labs sits above the 10th percentile of the 204,798 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 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 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 14:00 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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 video94% of posts+111%+108% to +115%34K
Outbound link24% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 94% 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.
  • 24% 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 519 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

  • Aug 17, 20265.4x their median

    The wait is finally over. HertzFlow Mainnet is live. 🥁 Introducing Season 1: Genesis Vault Pre-deposit. 🔗 https://t.co/1cPowYKAZN Full details below 👇 https://t.co/hUrCuyP1Mh

    4479090101554K viewsView on X
  • Aug 24, 20264.2x their median

    In two days, @EASYResidency S4 founders take the stage for Demo Day. 🇧🇹 This summer, we came to Bhutan — in the heart of the Himalayas — to build across stablecoins, payments, DeFi, AI, and beyond. Here’s a glimpse into the founders’ journey with YZi Labs. https://t.co/lHFxujSdew

    329509587273K viewsView on X
  • Jun 29, 20262.1x their median

    🟡 Hiring this week across the YZi Labs portfolio: @allscaleio → Country Community MOD · Business Development @termix_ai → Market Development Lead · Product Manager @APRO_Oracle @predictdotfun @StableStock @Hertzflow_xyz continues to hire. Explore open roles at https://t.co/El2iRiW3nB.

    3003429270K viewsView on X
  • Aug 25, 20262.4x their median

    https://t.co/1uYHdw9ODS

    196244859290K viewsView on X
  • Aug 13, 20262.1x their median

    https://t.co/yRnQdJ1MtE

    197371927257K viewsView on X
  • Aug 31, 20262.0x their median

    “RWA is going to grow. Every country and every company should look at how to leverage this growth.” — @cz_binance At @EASYResidency S4 Demo Day, CZ explained why he changed his mind about RWAs. Demand is growing across tokenized assets, from U.S. Treasuries to equities such as bStocks. The opportunity is two-sided: investors gain 24/7 access to markets previously out of reach, while companies and governments can bring local equities and sovereign bonds to a global investor base.

    1883435729K viewsView on X
  • Aug 29, 20261.9x their median

    “AI trading will likely come before AI payments.” — @cz_binance at @EASYResidency S4 Demo Day During his fireside with @ellazhang516, CZ explained that payments aren’t the immediate bottleneck for most AI users -- they can still pay with their own cards. Trading is different. It demands real-time analysis, faster decisions and constant execution, making human intervention increasingly inefficient. Rather than AI companies moving into payments first, crypto players may lead by bringing AI into trading.

    1872442838K viewsView on X
  • Jul 7, 20261.9x their median

    https://t.co/KLFzg0XZ1K

    158433319317K viewsView on X
  • Jul 13, 20261.8x their median

    This week's YZi Talent roles are with @Aster_DEX — where crypto, stocks, commodities, and more can be traded on-chain, with privacy built in. 5 roles open, from Backend Developer (Java) → PM → BD. Come build the future of on-chain trading 👉 https://t.co/gVSMY9HEUr https://t.co/W8h0ufbi29

    1912618765K viewsView on X
  • Jul 15, 20261.8x their median

    Crypto payments still face friction across user education, product usability, and regulation. For startups, the key is to overcome the friction, pick one wedge, and go deep. — @cz_binance That could be: > one high-volume remittance corridor, like UAE → Philippines or UAE → India > one underserved geography > one new category, like payments for AI agents Win the wedge. Build the foothold. Then earn the right to expand.

    1842226346K 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 134 interactions against 752K followers, an engagement rate of 0.018%. Measured over 17 original posts, its engagement rate beats 42% 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 29K times each, and 0.464% of those impressions turn into an interaction. That is about 3.84% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.97 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 17 posts sampled, 94% carry an image or video, 12% are part of a thread and 24% link out. The account's strongest tracked post pulled 728 interactions, about 5.4x its own typical post.

What is YZi Labs's engagement rate on X?
YZi Labs (@yzilabs) has an engagement rate of 0.018%, based on the median interactions across 17 original posts from the last 30 days against 752,157 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, YZi Labs sits above the 10th percentile of the 204,798 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 @yzilabs have real engagement?
Its engagement rate beats 42% 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 @yzilabs post?
Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 0.97 posts per day across the measured window.

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