Zara Zhang engagement report
@zarazhangrui - 94K followers on X
Measured over 17 original posts from a 30-day window, last computed on September 30, 2026.
Engagement
A typical post picks up 398 interactions against 94K followers, an engagement rate of 0.446%. Measured over 17 original posts, its engagement rate beats 77% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 30K times each, and 1.32% of those impressions turn into an interaction. That is about 32.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 17 posts sampled, 18% carry an image or video. The account's strongest tracked post pulled 16K interactions, about 41x its own typical post.
Measured over 17 original posts from a 30-day window, last computed on September 30, 2026.
Compared with accounts its own size
Zara Zhang's engagement rate beats 77% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 7 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 49% 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 0.446%, Zara Zhang sits above the 50th percentile of the 212,656 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.697%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.697% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 04:00 UTC, and Wednesday 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 | 18% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 18% 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.
- 0% 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 146 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% 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 8, 202641x their median
This paper gives a fancy name to a problem you can already feel in your bones "The Tragedy of the Cognitive Commons." Checking AI output requires deep expertise. Deep expertise comes from doing grunt work for years. And grunt work is the first thing AI eats So we're building systems that need expert supervision while dismantling the only known process for making experts The paper calls the shared pool of human expertise the "cognitive commons." Every profession drinks from it. Nobody's refilling it. By eliminating junior roles, each company is acting totally rationally, and the collective result: a profession that can't catch AI's mistakes anymore because it never learned to do the work in the first place Who checks AI's homework in 15 years?
- Jan 28, 202617x their median
I created a Claude Skill that make beautiful slides on the web. The world hasn't woken up to the fact that code can create much better slides than most PPT tools. - Claude interviews you first about aesthetics, then generate a few directions to "show not tell", and you can pick your favorite - Cool transitions and animations - Interactive hover states and cursor effects - Auto-fits on any screen - Supports converting existing PPTX files to web-based slides; preserves original images and brand assets I asked Claude to make a slide show about this skill to showcase what it can do. Link to skill below
- May 9, 202614x their median
https://t.co/5MJ7u1VHwf
- Aug 19, 20269.4x their median
I don’t know why anyone would learn Claude Code by reading a book, but apparently it’s a thing in Japan https://t.co/NlOttUCdD4
- Aug 23, 20269.2x their median
Everyone who’s ahead in using AI thinks they’re behind
- Sep 16, 20267.4x their median
I find myself using Claude less these days because the way it speaks has just become insufferable Like it’s constantly trying to showcase how smart/sophisticated it is, rather than actually communicating a point across
- Jul 28, 20266.7x their median
The best way to get insecurity out is to fucking do the thing you're scared of as many times as possible. There's no other way out.
- Sep 14, 20265.8x their median
Anyone else notices this problem with Astra? Astra: I have done X Me: This is wrong, you should do Y instead Astra: You're right. I should do Y Me: ... Why doesn't it just go and do Y, like the other models??
- Aug 4, 20265.6x their median
A sad thing I see is when companies start becoming reactive over proactive. Its a clear external sign that the leadership has lost vision. They make decisions they feel are safe instead of through conviction of a future. The problem is that "safe" almost always means following someone else. This isn't a clear sign of death, but it is a very difficult position to be in... For me personally, I hate seeing it because so many companies start with a genuinely interesting vision. Then the world changes, they lose confidence in that vision, and instead of finding a new way to adapt and express it, they start chasing whatever everyone else is doing. It happens during every major secular shift. AI is the obvious current example. A lot of companies that looked exciting just a few years ago now feel like they're playing catch-up instead of leading. Its a tough thing to watch.
- Sep 3, 20264.0x their median
We are not recording meetings for humans anymore. Nobody reads the AI summary notes or listens back. We are capturing transcripts to feed agents.
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 398 interactions against 94K followers, an engagement rate of 0.446%. Measured over 17 original posts, its engagement rate beats 77% of 21,185 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 30K times each, and 1.32% of those impressions turn into an interaction. That is about 32.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 17 posts sampled, 18% carry an image or video. The account's strongest tracked post pulled 16K interactions, about 41x its own typical post.
- What is Zara Zhang's engagement rate on X?
- Zara Zhang (@zarazhangrui) has an engagement rate of 0.446%, based on the median interactions across 17 original posts from the last 30 days against 93,674 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.446%, Zara Zhang sits above the 50th percentile of the 212,656 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 @zarazhangrui have real engagement?
- Its engagement rate beats 77% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the top quarter for its size 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 @zarazhangrui post?
- Most posts go out around 04:00 UTC, and Wednesday is its busiest day, at roughly 0.77 posts per day across the measured window.