Kylie engagement report
@KylieHopkinsX - 254K followers on X
Measured over 13 original posts from a 30-day window, last computed on September 9, 2026.
Engagement
A typical post picks up 314 interactions against 254K followers, an engagement rate of 0.123%. Measured over 13 original posts, its engagement rate beats 65% of 6,874 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 71K times each, and 0.44% of those impressions turn into an interaction. That is about 28.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 06:00 UTC, and Tuesday is the busiest day of the week. Of the 13 posts sampled, 92% carry an image or video, 23% are part of a thread and 23% link out. The account's strongest tracked post pulled 641 interactions, about 2.0x its own typical post. Recurring topics include #capcutdidthat, #capcutworld, #traces.
Measured over 13 original posts from a 30-day window, last computed on September 9, 2026. Recurring tags: #capcutdidthat, #capcutworld, #traces.
Compared with accounts its own size
Kylie's engagement rate beats 65% 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 27% 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 0.123%, Kylie 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 06:00 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 | 92% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 23% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 92% 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 490 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 31, 20262.0x their median
One thing I like about this: it doesn’t expect students to sit through a 45-minute lesson and somehow remember everything. Gauth has 200+ free high school math courses with quick quizzes built in along the way. A lot more to try at https://t.co/0yo4g5anmN.course https://t.co/X21jdzpt2d
- Sep 6, 20261.5x their median
Bigger models are not the only path to useful medical AI. Efficiency matters too. Sante is designed as an MoE model with only 5.1B active parameters per token, while targeting demanding healthcare tasks. The model’s active footprint is part of the story. Here is why 👇 https://t.co/fxx3kDloF0
- Aug 25, 2026
🚨 This SuperComputer builds your company with AI Always on computer Build complex software Use both open source and closed source AI Free backend including database, payment and auth Here’s how it works ↓
- Sep 7, 2026
For anyone who loves creating, this is one to watch. 👀🎥 CapCut World is coming to Los Angeles in October 2026, connecting creators and the creative community around AI-powered creativity, video creation, and the tools that help bring ideas to life. #CapCutWorld #CapCutDidThat https://t.co/Dq7HV10DCh
- Aug 20, 2026
This is what AI video creation should feel like. CapCut App + Seedance 2.5 gives creators a simple way to access a powerful AI video model without adding another complicated tool to the workflow. Easy to use. Powerful to create with. Affordable to experiment with. Try Seedance 2.5 starting from $0.06/sec. https://t.co/X151LthRMf #CapCut #CapCutApp #Seedance25 #CapCutai #CapCutDidThat
- Aug 25, 2026
This viral "shy‑run" humanoid robot is blowing up online, hands up near its face as it sprints forward Surprise: this iconic gait was not hand‑coded by engineers. Through reinforcement‑learning simulation training, the robot explored countless movement patterns and independently converged on this posture — its own optimal running solution for lower joint load, better stability and sustained speed. Funny as it looks, this robot is the 400‑meter mini‑division champion at the 2nd Humanoid Robot Games. Cute appearance, championship‑level performance. Looks shy, but it’s pure AI‑discovered locomotion intelligence. #Xhumanoid #TianGongOmni #AIRobotics #HumanoidRobots
- Sep 5, 2026
Most AI assistants answer after you upload a finished document. A real-time learning assistant has to understand what is happening as the lesson unfolds. Here is how Ling-3.0-flash-VL approaches that problem through vision, video, and follow-up questions. 👇 https://t.co/1LCWXFfOms
- Sep 3, 2026
The deal isn't the hard part. The handoff is. I run a marketing team, and we kept losing time between a client signing and the delivery team being ready. Sales had one version of what was promised. The forms had another. Then there were emails, Slack messages, missing assets, access requests, and someone asking, "Who owns this?" So I brought Viktor in to own the handoff from signed deal to delivery-ready. My first attempt wasn't great. I gave him too much context without defining what "ready" meant, and the output needed cleanup. So I narrowed the workflow: collect the information, check what's missing, reconcile the sources, and build the kickoff and delivery brief. He didn't stay in my workflow for long. Sales relied on him to close handoff gaps. Account managers delegated kickoff packs and follow-ups. Our project lead used him for project records. Operations handed him aging items and exception tracking. Over one month, Viktor processed 137 onboarding records, identified 43 missing-information issues, flagged 7 scope discrepancies, prepared 12 kickoff packs and 12 delivery handoff briefs, and completed 58 follow-ups. Median time from signed deal to delivery-ready fell from 9.7 business days to 3.6. Now he's part of how the team gets a client ready. I'd rather catch a handoff problem before kickoff than explain it after. Most AI tells you what to do. Viktor does it. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #ClientOnboarding #MarketingOps Paid Partnership
- Aug 27, 2026
The first video is rarely the expensive part. It’s the 10 versions you make after it. Seedance 2.5 gets the headlines. Seedance 2.0 gets my work done. Both 2.0 & 2.0 Fast, only on Dreamina: a 30-second clip costs $0.78 — vs $3.21 elsewhere. 76% less. https://t.co/0lNC7qWEPe
- Aug 26, 2026
A lot of AI avatar tools can make a face talk. The real question is whether the result is polished enough to actually use. I tested Wizstar AI Avatar using a reference photo, a scene description, and a script to generate a talking video where the avatar holds a water bottle and takes a sip mid-conversation. The movement, lip sync, and facial expressions came out smoother than I expected. The fact that the avatar can interact with objects while keeping the performance natural is what stood out to me. I can see this being useful for product explainers, social content, marketing campaigns, and training videos where reshooting every version just isn’t practical. Wizstar recently hit #1 Product of the Day on Product Hunt. Try it here: https://t.co/f7W59EuiXy @WizstarAI #Wizstar #ProductHunt #AIContent
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.
Buy or sell X accounts - escrow-protected
PlayerSells is an escrow marketplace for X accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 314 interactions against 254K followers, an engagement rate of 0.123%. Measured over 13 original posts, its engagement rate beats 65% of 6,874 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 71K times each, and 0.44% of those impressions turn into an interaction. That is about 28.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 06:00 UTC, and Tuesday is the busiest day of the week. Of the 13 posts sampled, 92% carry an image or video, 23% are part of a thread and 23% link out. The account's strongest tracked post pulled 641 interactions, about 2.0x its own typical post. Recurring topics include #capcutdidthat, #capcutworld, #traces.
- What is Kylie's engagement rate on X?
- Kylie (@KylieHopkinsX) has an engagement rate of 0.123%, based on the median interactions across 13 original posts from the last 30 days against 254,419 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.123%, Kylie 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 @KylieHopkinsX have real engagement?
- Its engagement rate beats 65% of the tracked X accounts closest to it in follower count (6,874 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 @KylieHopkinsX post?
- Most posts go out around 06:00 UTC, and Tuesday is its busiest day, at roughly 1.63 posts per day across the measured window.