Zara Zhang engagement report
@zarazhangrui - 86K followers on X
Measured over 23 original posts from a 30-day window, last computed on September 1, 2026.
Engagement
A typical post picks up 465 interactions against 86K followers, an engagement rate of 0.543%. Measured over 23 original posts, its engagement rate beats 59% of 3,829 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 47K times each, and 0.983% of those impressions turn into an interaction. That is about 55.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 23 posts sampled, 39% carry an image or video, 13% are part of a thread and 9% link out. The account's strongest tracked post pulled 16K interactions, about 35x its own typical post.
Measured over 23 original posts from a 30-day window, last computed on September 1, 2026.
Compared with accounts its own size
Zara Zhang's engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,829 accounts, accounts of similar size (decile 3 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 32% 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 0.543%, Zara Zhang sits above the 75th percentile of the 37,214 accounts in this comparison. That places it in the top 25% band, which runs 0.436% to 2.10%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.081% |
| 75th percentile | 0.436% |
| 90th percentile | 2.10% |
| 99th percentile | 160.2% |
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% | 51K |
| 01:00 UTC | -2% | 52K |
| 02:00 UTC | -3% | 51K |
| 03:00 UTC | -4% | 54K |
| 04:00 UTC | -6% | 44K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 49K |
| 07:00 UTC | -5% | 53K |
| 08:00 UTC | -4% | 61K |
| 09:00 UTC | -3% | 71K |
| 10:00 UTC | -2% | 73K |
| 11:00 UTC | -3% | 80K |
| 12:00 UTC | -2% | 88K |
| 13:00 UTC | -2% | 96K |
| 14:00 UTC | -4% | 99K |
| 15:00 UTC | -2% | 103K |
| 16:00 UTC | -3% | 100K |
| 17:00 UTC | -2% | 92K |
| 18:00 UTC | -1% | 86K |
| 19:00 UTC | -2% | 81K |
| 20:00 UTC | -1% | 75K |
| 21:00 UTC | -1% | 67K |
| 22:00 UTC | -1% | 58K |
| 23:00 UTC | -1% | 52K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 234K |
| Monday | 0% | 294K |
| Tuesday | -3% | 288K |
| Wednesday | -1% | 253K |
| Thursday | -2% | 247K |
| Friday | -3% | 256K |
| Saturday | +3% | 230K |
Best tweets
- Aug 8, 202635x 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, 202614x 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, 202612x their median
https://t.co/5MJ7u1VHwf
- Aug 19, 20268.1x 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, 20267.9x their median
Everyone who’s ahead in using AI thinks they’re behind
- Jul 28, 20265.8x 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.
- Aug 4, 20264.8x 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.
- Aug 10, 20263.1x their median
A great way to learn design: Give Codex a well-designed website, ask it to analyze what makes the design great, then ask it to take a complete screenshot of the website & add annotations on the image that breaks down why the design works Learning from examples is always better than learning from theory! And using the annotation method means you don't have to constantly switch between reading the analysis and viewing the artifact
- Aug 26, 20262.9x their median
Reached out to a dev active on social media at an interesting tech company to try and do a deepdive on the rad stuff they built. Dev tried to get approval from Comms. Took months. I gave up, moved on. Same company’s Comms team comes back “would you like to have our CTO on your podcast?” Told them I wanted to talk to their devs, but they’ve somehow blocked it, and I’ve moved on since. It’s amusing how Comms teams don’t understand there are publications like mine that want to talk with people who do the work, not people who are layers above the work (but have a fancy title).
- Aug 10, 20262.7x their median
At the AGI Bar in Beijing, you can get free, unlimited DeepSeek tokens. Customers vibe code while sipping on beers with names like “AGI bubble” You can also buy a “Drinking Plan” which gives you free beer for the whole year A screen displays job roles at AI companies https://t.co/Wlcu6lYc1q
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 465 interactions against 86K followers, an engagement rate of 0.543%. Measured over 23 original posts, its engagement rate beats 59% of 3,829 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 47K times each, and 0.983% of those impressions turn into an interaction. That is about 55.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 23 posts sampled, 39% carry an image or video, 13% are part of a thread and 9% link out. The account's strongest tracked post pulled 16K interactions, about 35x its own typical post.
- What is Zara Zhang's engagement rate on X?
- Zara Zhang (@zarazhangrui) has an engagement rate of 0.543%, based on the median interactions across 23 original posts from the last 30 days against 85,659 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.543%, Zara Zhang sits above the 75th percentile of the 37,214 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 59% of the tracked X accounts closest to it in follower count (3,829 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 @zarazhangrui post?
- Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 1.53 posts per day across the measured window.