JAYDEN™ engagement report
@SirGlavan_ - 216K followers on X
Measured over 39 original posts from a 30-day window, last computed on October 4, 2026.
Engagement
A typical post picks up 132 interactions against 216K followers, an engagement rate of 0.061%. Measured over 39 original posts, its engagement rate beats 50% of 20,183 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 55K times each, and 0.242% of those impressions turn into an interaction. That is about 25.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 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 39 posts sampled, 67% carry an image or video, 10% are part of a thread and 64% link out. The account's strongest tracked post pulled 4.9K interactions, about 37x its own typical post. Recurring topics include #1xbet, #dreaminacpp, #robosecretary.
Measured over 39 original posts from a 30-day window, last computed on October 4, 2026. Recurring tags: #1xbet, #dreaminacpp, #robosecretary.
Compared with accounts its own size
JAYDEN™'s engagement rate beats 50% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 9 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 14% 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 0.061%, JAYDEN™ sits above the 25th percentile of the 202,368 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.142%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.142% |
| 75th percentile | 0.672% |
| 90th percentile | 2.54% |
| 99th percentile | 82.6% |
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 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.
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 | 67% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 64% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 67% 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.
- 64% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 701 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
- Sep 13, 202637x their median
Thousands of Nairobi residents escort Linda Mwananchi leaders to Jacaranda Grounds https://t.co/QMKLKTYRrd
- Sep 26, 202616x their median
Xiaomi 18 pro max has a 8000mAh battery despite being same size as the iPhone its built on same design... Crazy
- Oct 2, 202612x their median
I’ve used noise-cancelling headphones for years without really understanding what they were doing. Watching ANC visualized as opposing sound waves makes the whole thing instantly obvious. Gauth Academy’s Infinite Mode is really good at this kind of concept—taking something invisible and making it understandable through 3D visuals. Check out Infinite Mode at https://t.co/UyYXN9cnzb
- Sep 30, 20264.8x their median
I wanted to see how @Kling_ai 4.0 would handle a scene where the environment matters just as much as the main subject. What impressed me here is the scale. There’s so much happening across the frame, but the scene still feels connected and visually coherent instead of turning into a mess of random details. The depth, composition and overall cinematic atmosphere are what stood out to me most. Kling 4.0 seems much more comfortable handling these bigger, more ambitious scenes while still making the shot feel intentional. Here’s my result 👇
- Sep 29, 20264.6x their median
One thing I always pay attention to when generating AI videos is how well the model handles movement. So I wanted to push Kling 4.0 with a dynamic motion sequence, and the result genuinely caught my attention. The transitions between movements felt fluid, the motion stayed consistent, and the camera movement added to the energy without making the scene feel chaotic. What I liked most was how the sequence maintained that sense of physical movement throughout. That’s especially important when creating fast-paced cinematic content. @Kling_ai 4.0 is showing some interesting improvements in this area. Watch the result 👇
- Sep 11, 20264.4x their median
A generational leap, but not on every dimension. Yesterday we put the TRACES board up. Here is the first comparison worth pulling out of it. GPT-6-astra @OpenAI tops the board but that is not the interesting part. Against GPT-5.6-sol, same harness, 140 agent episodes, it gains on all six capabilities. The gains are not even, and the uneven part is the story: ➡️ Tools, selecting, calling and correctly interpreting external tools: 2.34 → 2.80 ➡️ Repair, locating and correcting its own errors once feedback arrives: 1.81 → 2.01 ➡️ Alternatives, laying out competing hypotheses and keeping or discarding them as evidence accumulates: 2.10 → 2.80 ➡️ Coherence, holding state, constraints and logic intact across a long chain of work: 2.63 → 3.15 ➡️ Evidence, grounding every conclusion in observation, data, experiment or citation: 2.26 → 2.76 ➡️ Scope, stating where a conclusion holds and where it does not: 2.20 → 2.75 Five of the six moved into the top three on the board. Repair did not. It gained 0.20 points where every other capability gained at least twice as much. Now put Repair next to Alternatives, the largest gain of the six. This generation got far better at holding several possible paths open and pruning them as evidence arrives. That matters for discovery. Finding something genuinely unknown is not just reasoning further. It is knowing how to maintain, investigate and select alternative hypothesis in a rigorously, systematic way. A single score tells you who won. TRACES tells you why, and where the frontier still breaks. Live leaderboard: https://t.co/n0d5z2oTpV
- Sep 9, 20263.7x their median
If you make money online and manage multiple accounts, your browser setup shouldn't be an afterthought. I learned that after spending way too much time logging in and out, clearing cookies, switching proxies and trying to remember which session belonged to which project. Eventually I realized I was saving money on the wrong thing. A proper setup saves time. With GoLogin, I can keep different projects in separate browser profiles with their own sessions, cookies, fingerprint settings and proxy configurations. Open the profile and the workspace is already there. No rebuilding the setup every time. For me, that's the real value: less time managing the browser, more time actually doing the work that makes money. If you've been doing all of this manually, I'd seriously consider upgrading your setup. https://t.co/RswAbBnOEO Use JAYDEN for 50% OFF your first purchase.
- Sep 1, 20263.7x their median
https://t.co/9PVyLyepgn
- Sep 4, 20263.6x their median
REMOTE JOBS SECRET THREAD! If you want to grow on platforms like Prolific or Mindrift like Outlier, the trick is using accounts registered in the US, UK, or Indonesia with proxies that match the locations. That’s exactly where Gologin Browser comes in... BOOKMARK..✍️🧵 https://t.co/fWrctNzhzH
- Sep 18, 20263.6x their median
JEV is insane for competitor research! We gave it Resilia's ad library It classified 1,891 ads in 19 seconds for $0.12 costumer journey step + Ad style And a complete deep analysis of the account Coming soon to maxfusion MCP https://t.co/tRfDerHGBs
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 132 interactions against 216K followers, an engagement rate of 0.061%. Measured over 39 original posts, its engagement rate beats 50% of 20,183 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 55K times each, and 0.242% of those impressions turn into an interaction. That is about 25.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 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 39 posts sampled, 67% carry an image or video, 10% are part of a thread and 64% link out. The account's strongest tracked post pulled 4.9K interactions, about 37x its own typical post. Recurring topics include #1xbet, #dreaminacpp, #robosecretary.
- What is JAYDEN™'s engagement rate on X?
- JAYDEN™ (@SirGlavan_) has an engagement rate of 0.061%, based on the median interactions across 39 original posts from the last 30 days against 215,807 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.061%, JAYDEN™ sits above the 25th percentile of the 202,368 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 @SirGlavan_ have real engagement?
- Its engagement rate beats 50% of the tracked X accounts closest to it in follower count (20,183 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 @SirGlavan_ post?
- Most posts go out around 05:00 UTC, and Tuesday is its busiest day, at roughly 3.33 posts per day across the measured window.