ZetaChain 🟩 engagement report
@ZetaChain - 988K followers on X
Measured over 25 original posts from a 30-day window, last computed on September 15, 2026.
Engagement
A typical post picks up 50 interactions against 988K followers, an engagement rate of 0.005%. Measured over 25 original posts, its engagement rate beats 27% of 15,519 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 0.267% of those impressions turn into an interaction. That is about 1.90% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 25 posts sampled, 68% carry an image or video and 20% link out. The account's strongest tracked post pulled 37K interactions, about 733x its own typical post.
Measured over 25 original posts from a 30-day window, last computed on September 15, 2026.
Compared with accounts its own size
ZetaChain 🟩's engagement rate beats 27% of the tracked X accounts closest to it in follower count (15,519 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 20% 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 157,374 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.022%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.003% |
| 25th percentile | 0.022% |
| 50th percentile | 0.128% |
| 75th percentile | 0.604% |
| 90th percentile | 2.32% |
| 99th percentile | 83.4% |
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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 68% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 20% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 68% 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.
- 20% 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 341 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 4, 2026733x their median
https://t.co/p5elkKCIF3
- 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.
- Aug 14, 2026155x their median
Memory, not compute, is the rate limiter of the Agentic Era.
- 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.
- 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
- Sep 2, 202695x their median
if i were openai or anthropic, i’d absolutely flood the world with emotional optimistic ads about what ai can actually do for ordinary ppl. e.g. show the teacher who gets her evenings back. the scientist who finds something sooner. the small business owner who can suddenly do the work of a team. the kid who can learn anything. the disabled person who becomes more independent. make ai feel like human progress again. basically act like a general before a battle & remind people what the future is for.
- Jul 27, 202662x their median
If you’re in crypto, use AI
- Sep 3, 202648x their median
Crazy! All launched within three days btw. Fable 5.1 Gemini 3.8 Flash GPT-6 Astra Fable 5.1 → $10/$50 per MTok GPT-6 Astra → $10/$50 per MTok Gemini 3.8 Flash → $0.75/$3.75 DeepSWE v1.1 • GPT-6 Astra: 74.1% • Gemini 3.8 Flash: 73.7% • Fable 5.1: 67.4% Gemini 3.8 Flash is ~13 times cheaper. Google surely deserves more praise and recognition.
- Aug 19, 202625x their median
.@Kimi_Moonshot Kimi K3 is starting to roll out on Ollama's cloud subscriptions. We are working on improving Ollama's cloud to be much more transparent on the pricing to show the best performance / $. Try it with the tools you already use. Claude Code: ollama launch claude --model kimi-k3:cloud OpenCode: ollama launch opencode --model kimi-k3:cloud
- Sep 8, 202611x their median
Chamath Warns: Your AI Data Isn’t as Private as You Think Today's statement from @OpenAI on the Navier-Stokes Problem and whether it used recent user data to boost its own capabilities: “While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models.” Here's what @chamath had to say on AI's fragile privacy and the ZDR myth back in July: “Privacy in AI is very fragile and it's very brittle. There are all kinds of non-obvious data leak vectors lurking in AI. If you think that you're going to flip a ZDR switch, zero data retention, which is the magic term that the industry uses to tell you that everything's going to be okay. I think the answer and the message should be, ‘It's not going to be okay because you can't guarantee any of it.’ So the model companies, when they give you these zero data retention policies, are probably trying their best. But I think the reality is you are leaking information where you don't know it. And they, despite their best efforts, may still have trapdoors that they don't even know about until it's figured out by somebody else. You need an independent third-party layer to interface to these models to manage this exposure, because there are trapdoors everywhere.”
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 50 interactions against 988K followers, an engagement rate of 0.005%. Measured over 25 original posts, its engagement rate beats 27% of 15,519 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 0.267% of those impressions turn into an interaction. That is about 1.90% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 25 posts sampled, 68% carry an image or video and 20% link out. The account's strongest tracked post pulled 37K interactions, about 733x its own typical post.
- What is ZetaChain 🟩's engagement rate on X?
- ZetaChain 🟩 (@ZetaChain) has an engagement rate of 0.005%, based on the median interactions across 25 original posts from the last 30 days against 987,611 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 157,374 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 27% of the tracked X accounts closest to it in follower count (15,519 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 14:00 UTC, and Tuesday is its busiest day, at roughly 2.3 posts per day across the measured window.