宝玉 engagement report
@dotey - 248K followers on X
Measured over 22 original posts from a 30-day window, last computed on September 9, 2026.
Engagement
A typical post picks up 672 interactions against 248K followers, an engagement rate of 0.273%. Measured over 22 original posts, its engagement rate beats 79% of 6,874 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 139K times each, and 0.483% of those impressions turn into an interaction. That is about 56.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video and 23% link out. The account's strongest tracked post pulled 14K interactions, about 21x its own typical post. Recurring topics include #astra, #blender, #gpt.
Measured over 22 original posts from a 30-day window, last computed on September 9, 2026. Recurring tags: #astra, #blender, #gpt.
Compared with accounts its own size
宝玉's engagement rate beats 79% of the tracked X accounts closest to it in follower count (6,874 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 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 0.273%, 宝玉 sits above the 50th percentile of the 66,258 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.499%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.6% |
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 03:00 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 | 64% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 23% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 64% 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.
- 23% 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 275 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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
- Sep 9, 202621x their median
Big one today — Tailwind is joining Shopify 🛍️ https://t.co/YxnYEOsXKc
- May 26, 202318x their median
What if we set GPT-4 free in Minecraft? ⛏️ I’m excited to announce Voyager, the first lifelong learning agent that plays Minecraft purely in-context. Voyager continuously improves itself by writing, refining, committing, and retrieving *code* from a skill library. GPT-4 unlocks a new paradigm: “training” is code execution rather than gradient descent. “Trained model” is a codebase of skills that Voyager iteratively composes, rather than matrices of floats. We are pushing no-gradient architecture to its limit. Voyager rapidly becomes a seasoned explorer. In Minecraft, it obtains 3.3× more unique items, travels 2.3× longer distances, and unlocks key tech tree milestones up to 15.3× faster than prior methods. We open-source everything. Let generalist agents emerge in Minecraft! Welcome you all to try today: https://t.co/1d3YocozsI Paper: https://t.co/JcWEasgtyI Code: https://t.co/KsvVf7rcl0 Deep dive with me: 🧵
- Sep 6, 202614x their median
okay Astra time to rickroll https://t.co/KvZdFZNew4
- Sep 9, 202610x their median
There was a bit of a kerfuffle this morning with some banked resets not fully applying when used in ChatGPT Work and Codex. Everyone who used one in the affected time window is getting another one and an email to apologize.
- Sep 7, 20267.7x their median
Super interesting detail from inside OpenAI: The company hired a bunch of ex-Meta people. Some of these people wanted to invest heavily into internal tooling teams (Meta did it, worked great) OpenAI leadership resisted, saying that in an AGI-first world, there will be no internal tooling teams. And they were right: now, with Codex, there's a massive internal tools explosion, without having any internal tooling teams!
- Jul 17, 20264.3x their median
Heard that some frontier models are basically a 48-layer transformer looped twice (48L x 2). Now we are introducing DeepLoop: Depth Scaling for Looped Transformers (https://t.co/jtxllo9aFF), making the loop transformer stable and scalable! https://t.co/Js8Zy96MqY
- Sep 5, 20263.5x their median
🧠💰GPT-6 Astra Money Tip: 'Medium Effort' 1% less intelligence for 25% cost savings https://t.co/2cf0vmmxXn
- Dec 3, 20252.6x their median
A thread for my nana banana pro prompts 🧵 https://t.co/riAcKUtR6T
- Sep 9, 20261.8x their median
We are investigating an issue that may be causing unexpected usage resets for some users. https://t.co/z7m3wg1uPS
- Sep 1, 20261.8x their median
https://t.co/UMTjznAJSc
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
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 672 interactions against 248K followers, an engagement rate of 0.273%. Measured over 22 original posts, its engagement rate beats 79% of 6,874 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 139K times each, and 0.483% of those impressions turn into an interaction. That is about 56.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.8 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 03:00 UTC, and Wednesday is the busiest day of the week. Of the 22 posts sampled, 64% carry an image or video and 23% link out. The account's strongest tracked post pulled 14K interactions, about 21x its own typical post. Recurring topics include #astra, #blender, #gpt.
- What is 宝玉's engagement rate on X?
- 宝玉 (@dotey) has an engagement rate of 0.273%, based on the median interactions across 22 original posts from the last 30 days against 247,517 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.273%, 宝玉 sits above the 50th percentile of the 66,258 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 @dotey have real engagement?
- Its engagement rate beats 79% of the tracked X accounts closest to it in follower count (6,874 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 @dotey post?
- Most posts go out around 03:00 UTC, and Wednesday is its busiest day, at roughly 2.77 posts per day across the measured window.