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ZetaChain 🟩 engagement report

@ZetaChain - 995K followers on X

Measured over 35 original posts from a 30-day window, last computed on August 19, 2026.

Engagement

Middle of its size range
Per follower
0.005%
of 995K followers
Per impression
0.219%
23K views on a typical post
Reach
2.29%
of its followers see a post
Typical post
50
interactions (median)
Saved
0.004%
1 bookmarks on a typical post
Posting rate
2.7/day
active 80% of days
Peak time
05:00 UTC
Tuesday

A typical post picks up 50 interactions against 995K followers, an engagement rate of 0.005%. Measured over 35 original posts, its engagement rate beats 25% of 1,224 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 23K times each, and 0.219% of those impressions turn into an interaction. That is about 2.29% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 05:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 29% carry an image or video and 17% link out. The account's strongest tracked post pulled 37K interactions, about 738x its own typical post. Recurring topics include #bountydrop, #gatedex, #sharedmemory.

Measured over 35 original posts from a 30-day window, last computed on August 19, 2026. Recurring tags: #bountydrop, #gatedex, #sharedmemory.

Compared with accounts its own size

ZetaChain 🟩's engagement rate beats 25% of the tracked X accounts closest to it in follower count (1,224 accounts, accounts of similar size (decile 6 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 18% 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 0.005%, ZetaChain 🟩 sits above the 10th percentile of the 12,393 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.008%.

p100.001%
p250.008%
p50 (median)0.053%
p750.35%
p902.43%
p99294.9%
Engagement rate as a share of followers, across the 12,393 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 327,630 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 percentile0.001%
25th percentile0.008%
50th percentile0.053%
75th percentile0.35%
90th percentile2.43%
99th percentile294.9%

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 05:00 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 94%Busiest hour: 05:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC0%18K
01:00 UTC+1%18K
02:00 UTC-1%18K
03:00 UTC-4%18K
04:00 UTC-7%15K
05:00 UTC-6%14K
06:00 UTC-6%16K
07:00 UTC-6%17K
08:00 UTC-6%20K
09:00 UTC-3%23K
10:00 UTC-2%25K
11:00 UTC-2%26K
12:00 UTC0%29K
13:00 UTC0%33K
14:00 UTC-2%34K
15:00 UTC-1%36K
16:00 UTC-1%35K
17:00 UTC-1%33K
18:00 UTC+1%30K
19:00 UTC+1%28K
20:00 UTC-1%26K
21:00 UTC+1%23K
22:00 UTC+1%20K
23:00 UTC0%18K
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 94%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%85K
Monday+2%88K
Tuesday+1%102K
Wednesday-3%87K
Thursday-1%82K
Friday-4%89K
Saturday+4%83K
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 video29% of posts+83%+77% to +89%7.0K
Outbound link17% of posts-48%-50% to -47%7.2K
Typical length--4%-6% to -3%9.4K
  • 29% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 83% above the same accounts' other posts.
  • 17% of its posts carry a link off X. Across the catalog, posts with an outbound link run 48% below the same accounts' other posts.
  • Its average post runs 256 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters run 4% below 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 4, 2026738x their median

    https://t.co/p5elkKCIF3

    36K1.2K88631.1M viewsView on X
  • Jul 23, 2026169x their median

    JUST IN: Tech employee receives email from HR after company review flags 114 instances of profanity in his Claude chats over one week.

    7.5K2044133401.4M viewsView on X
  • Aug 14, 2026156x their median

    Memory, not compute, is the rate limiter of the Agentic Era.

    6.8K497305130964K viewsView on X
  • Jul 26, 2026151x their median

    "If you're in crypto, pivot to AI." I used to hear versions of this, and it's the wrong way to think about the world. It's zero sum, scarcity thinking. Crypto is a general purpose technology. It's infrastructure, the same way electricity or the internet is infrastructure. It doesn't compete with the next big thing, because it underpins it. It's an *and*, not an *or*. AI being a megatrend takes nothing away from crypto. If anything, it makes crypto more important. AI agents will need their own financial infrastructure and will eventually transact far more per day than all humans combined. They can't open a bank account, they can't wait three days for a wire, they reside in one country. They need real time programmable money (and that's crypto). Agents will need to hold funds and pay for things on their own. We pioneered this with the x402 protocol, Base, and USDC, which now power the vast majority of all agentic payments. Agents will also engage in trading and act as a financial advisor. They will raise or borrow money for new projects they are undertaking. They will eliminate tasks for us around tax planning, portfolio rebalancing, and bill pay. Welcome to the world of Agentic Finance (AiFi). This is what Coinbase is building.

    5.7K806690289760K viewsView on X
  • Jul 17, 2026113x their median

    Only 2.2% of U.S. households have a paid AI subscription We are still so early https://t.co/tZLMH9Qx1j

    4.5K4153653761.6M viewsView on X
  • Jul 27, 202663x their median

    If you’re in crypto, use AI

    2.3K1654401771.0M viewsView on X
  • Aug 16, 20262.3x their median

    Stripe has reportedly agreed to acquire OpenRouter for more than $7B . This price is at least 5.4x OpenRouter's $1.3B May valuation. That premium is most probably justified by OpenRouter's distribution, routing volume, and model-demand data alongside the API itself. OpenRouter’s traffic metadata may be harder to copy than its API surface. It gives a buyer a live view of which models win workloads, where demand moves, and how users react to price. Such evidence can inform pricing and product decisions more directly than a leaderboard. Stripe already powers OpenRouter's billing, tracking usage, applying pricing, and handling payments. If the reported acquisition closes, Stripe would own both the metering and routing layers for AI spending. A Stripe-owned OpenRouter could weaken model vendors’ pricing power more than another cheap model would. OpenRouter’s default routing favors healthy, lower-cost providers, while developers can switch models or providers without rebuilding each integration. Once that switching sits behind 1 API, a small change in price or reliability can redirect traffic much faster. OpenRouter has 10M+ global users, 500+ models behind its API, and 200T+ monthly tokens. Buying OpenRouter also puts Stripe in charge of a business whose usefulness depends on neutrality. Developers can control provider order, exclusions, price ceilings, and data-retention rules, so users can constrain how requests move. If ownership ever made routing look commercially biased, model suppliers or larger customers could bypass it through direct integrations or other gateways. Stripe therefore has to preserve user-controlled routing even if tighter integration would increase revenue elsewhere.

    841112923K viewsView on X
  • Jun 4, 20262.0x their median

    we asked why AI needs to know who you are. 100,000 people had the same question. @AnumaAI just hit 100K users. 38 days since launch. some of them? they locked $ZETA to do it.

    79984331K viewsView on X
  • Aug 1, 20261.8x their median

    you’ve re-explained yourself to ChatGPT. then to Gemini. then to Claude. then to Kimi. what if you never had to do that again? and what if none of them knew your name? that’s the Anuma memory layer. built on $ZETA. 🔒

    76862149K viewsView on X
  • Aug 2, 20261.7x their median

    your crypto wallet has never once asked for your email. your AI should work the same way. $ZETA 🔒

    65612234K 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

#bountydrop#gatedex#sharedmemory#aicouncil

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 50 interactions against 995K followers, an engagement rate of 0.005%. Measured over 35 original posts, its engagement rate beats 25% of 1,224 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 23K times each, and 0.219% of those impressions turn into an interaction. That is about 2.29% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.7 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 05:00 UTC, and Tuesday is the busiest day of the week. Of the 35 posts sampled, 29% carry an image or video and 17% link out. The account's strongest tracked post pulled 37K interactions, about 738x its own typical post. Recurring topics include #bountydrop, #gatedex, #sharedmemory.

What is ZetaChain 🟩's engagement rate on X?
ZetaChain 🟩 (@ZetaChain) has an engagement rate of 0.005%, based on the median interactions across 35 original posts from the last 30 days against 994,775 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.005%, ZetaChain 🟩 sits above the 10th percentile of the 12,393 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 @ZetaChain have real engagement?
Its engagement rate beats 25% of the tracked X accounts closest to it in follower count (1,224 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 @ZetaChain post?
Most posts go out around 05:00 UTC, and Tuesday is its busiest day, at roughly 2.7 posts per day across the measured window.

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