Karen engagement report
@Karen_Moroe - 83K followers on X
Measured over 8 original posts from a 30-day window, last computed on October 3, 2026.
Engagement
A typical post picks up 245 interactions against 83K followers, an engagement rate of 0.293%. Measured over 8 original posts, its engagement rate beats 70% of 20,444 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 53K times each, and 0.462% of those impressions turn into an interaction. That is about 63.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video, 63% are part of a thread and 13% link out. The account's strongest tracked post pulled 737 interactions, about 3.0x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on October 3, 2026. Recurring tag: #ad.
Compared with accounts its own size
Karen's engagement rate beats 70% of the tracked X accounts closest to it in follower count (20,444 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 22% 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 0.293%, Karen sits above the 50th percentile of the 205,475 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 15:00 UTC, and Thursday 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 13% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 100% 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.
- 13% 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 884 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
- Oct 1, 20263.0x their median
The interview with @thsottiaux from OpenAI 🔥 0:00 Everything OpenAI launched at DevDay 2:44 Sponsors: Wispr Flow, Hostinger, OpenArt 4:11 What is ChatGPT Dots? 7:52 Will ChatGPT Dots be free? 10:15 GPT-6.1 Sol vs GPT-6 Astra 11:44 Is AI now building AI? 12:53 Ultra Fast: when does everyone get it? 14:00 How OpenAI rebuilt the ChatGPT desktop app in 30 days 19:08 Why everything will run in the cloud 20:55 Calling your Dots on the phone 22:11 The new Turing test 24:05 OpenAI's mission and AI safety 26:14 Why OpenAI still works like a startup 27:29 The truth about ChatGPT usage resets 29:00 The $500 ChatGPT plan 30:17 Sponsors in action 32:23 Why AI agents still fail 33:52 OpenAI's AI is now on call 34:26 OpenAI's internal benchmarks 35:55 Open source Codex and the open ecosystem 38:42 ChatGPT Space explained 39:45 Is the chat box holding AI back? 42:26 Every DevDay update, full workshop 43:28 How people really use ChatGPT Work and Codex 44:01 When is the next OpenAI model coming? 45:05 What AI has to solve next 45:32 Is your job safe from AI? 48:14 Rapid fire 48:54 Has OpenAI already reached AGI? 50:48 The one thing he'll never let AI do 51:22 His morning AI routine 52:15 What he'd build if not AI Watch the full podcast on YouTube or X. Enjoy!
- Aug 24, 20262.4x their median
The hardest part of building Vocci was never the AI. It was the size. Making every component work together at ring scale took relentless engineering. Every detail is built for the moment it reaches your hand. Explore more: https://t.co/PnlZcOGoQR Wear the Context, Loop in Real Life.
- Sep 16, 2026
I don't think AI editing needs to make editors disappear. It needs to make the distance between an idea and an editable timeline much shorter. GPT-6 Astra can take my editing direction, operate CapCut PC, and build the initial sequence from the footage. Then I can take over where judgment matters ... adjusting shots, pacing and captions independently on the timeline. Edit Pilot can even help with the next round of post-editing. Astra reduces the distance. CapCut PC preserves the control. #GPT6Astra #CapCutPC #AIVideo #Seedance25
- Sep 18, 2026
56 pages of Real Analysis notes became a 17 page study guide in about 2 minutes. I'm a student balancing coursework with other projects, so when I have a lot of material to get through, I need to be able to organize it quickly. I had a full set of Real Analysis notes that I needed to work through, and I wanted something more practical than going back and forth through the entire document. First time round I just asked for a summary. Got back something shorter that was no easier to revise from, because a summary tells you what the notes say, not what to do with them. My fault, wrong ask. So I put the PDF into my AI employee Viktor again and asked him for a revision guide instead, keeping everything grounded in the original notes. He organized all six chapters around the definitions, theorems, proof ideas and examples, then pulled together the concepts that were most important to have down before attempting the exercises. What made the result more useful was the structure around it. Viktor also suggested an order for working through the chapters and finished with 15 review questions I could use to check myself. So instead of deciding where to start every time I opened the notes, I had a clear revision path ready to follow. I still have to do the actual learning. Viktor just handled the part that was stopping me from starting. Most of the time people say they're stuck on a subject, they're stuck on where to begin. Tell me I'm wrong. 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 #Productivity #Education Paid Partnership
- Sep 24, 2026
AI agents can do the research. But what happens when the research is actually finished? If it’s still buried in a chat or sitting in a .md file, it’s not very useful to anyone else. I tried a different workflow with Codex ↓ https://t.co/ljpHt5RMU4
- Sep 10, 2026
The best part of the Astra + CapCut PC workflow might be that neither tool has to do everything. I can use Astra for the highly specific stuff: “Give me a muted cinematic grade with warm skin tones” → custom .cube. Then CapCut PC lets me apply it to real footage and make the final call. For subtitles, Astra generates the customized .srt, while CapCut PC lets me split, reposition and refine the captions directly on the timeline. One creates. One contextualizes. That’s where the workflow gets interesting. #GPT6Astra #CapCutPC #AIVideo #Seedance25
- Sep 8, 2026
Most development teams don't have a dedicated security specialist on staff. The industry average is roughly 1 security engineer per 100 developers. Because of that, security checks often become a bottleneck right before launch, or get pushed aside entirely. We recently plugged our repo into @replayio to run their new Security Pass, and here's an inside look at how it works on a live build: Replay QA approaches testing in two distinct stages: Frontend Client Scan: It analyzes what's exposed in the client bundle, catching leaked API keys, exposed tokens, hardcoded secrets, weak HTTP headers, and client misconfigurations. API Surface Mapping & Independent Probing: It automatically maps every endpoint your app calls and tests those APIs directly, independently from the browser. That lets it flag issues standard frontend scanners miss, like Insecure Direct Object References (IDOR) and broken access controls. Each finding is filed with full debugging context, including exact traces, reproduction steps, root cause analysis, and screenshots. Beyond one-off audits, you can also configure scheduled scans (daily, weekly, or custom intervals) and manage multiple environments (dev, staging, local, and production) directly within a single project dashboard. If your team is shipping React or web apps and needs automated security visibility without adding extra complexity to your delivery pipeline, check it out here: https://t.co/K0gn0DeS0k
- Sep 7, 2026
For AI filmmaking, “spatial consistency” sounds technical until you try to make a camera travel through a complicated scene. Suddenly, every doorway, character position and camera turn matters. That’s what makes GPT-6 Astra’s 3D scene understanding interesting. The environment can be mapped first, while camera and character movement are established within the Viewport. I then manually move the scene into CapCut PC and use Seedance 2.5 to render the sequence. From there, CapCut PC handles the editing. The bigger question is whether AI video is ready to move from visual experimentation toward more structured production. #CapCutPC #GPT6Astra #AIVideo #Seedance25
- Sep 14, 2026
A surprisingly big part of AI creation is just moving things between tools. Generate here. Download. Upload somewhere else. Generate again. Then move everything into an editor. This workflow feels more connected. GPT Image 2.5 is coming to CapCut PC, where it will be available through Design Studio and AI Image. Use it to build the visual storyboard. Then move into CapCut PC’s Video Studio and use Seedance 2.5 for the video generation. After that, stay in CapCut for the AI editing and refinement. The fewer breaks between creative stages, the easier it is to stay focused on the actual idea. #GPTImage25 #CapCutPC #AIVideo #Seedance25
- Aug 17, 2026
I connected my teams web app to Replay QA before merging new changes. Instead of manually clicking through flows or writing a full test suite from scratch, the chat agent set up automated quality checks in under two minutes. Here is how the setup flow looks: https://t.co/suJ0wAcmss
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 245 interactions against 83K followers, an engagement rate of 0.293%. Measured over 8 original posts, its engagement rate beats 70% of 20,444 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 53K times each, and 0.462% of those impressions turn into an interaction. That is about 63.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video, 63% are part of a thread and 13% link out. The account's strongest tracked post pulled 737 interactions, about 3.0x its own typical post.
- What is Karen's engagement rate on X?
- Karen (@Karen_Moroe) has an engagement rate of 0.293%, based on the median interactions across 8 original posts from the last 30 days against 83,412 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.293%, Karen sits above the 50th percentile of the 205,475 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 @Karen_Moroe have real engagement?
- Its engagement rate beats 70% of the tracked X accounts closest to it in follower count (20,444 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 @Karen_Moroe post?
- Most posts go out around 15:00 UTC, and Thursday is its busiest day, at roughly 1.93 posts per day across the measured window.