Deborah engagement report
@n__deborah - 302K followers on X
Measured over 9 original posts from a 30-day window, last computed on October 17, 2026.
Engagement
A typical post picks up 371 interactions against 302K followers, an engagement rate of 0.123%. Measured over 9 original posts, its engagement rate beats 63% of 21,185 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 112K times each, and 0.332% of those impressions turn into an interaction. That is about 37.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 100% carry an image or video and 56% link out. The account's strongest tracked post pulled 3.7K interactions, about 10x its own typical post. Recurring topics include #elevencreativecompetitionvol1, #theworldscatchiestad.
Measured over 9 original posts from a 30-day window, last computed on October 17, 2026. Recurring tags: #elevencreativecompetitionvol1, #theworldscatchiestad.
Compared with accounts its own size
Deborah's engagement rate beats 63% of the tracked X accounts closest to it in follower count (21,185 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 19% 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%, Deborah sits above the 25th percentile of the 212,925 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 83.0% |
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 17:00 UTC, and Monday 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 | 56% 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.
- 56% 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 684 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 17, 202610x their median
🔥 Today, we are truly excited to announce our technical prototype, the Generative World Simulation system, which integrates JING（镜）, an interactive experience model, with DAO（道）, a computable shared-world engine. The coupled model and engine connect first-person experience with a shared world that continues to evolve beyond any individual observer. Conditioned on actions and observation history, JING enables agent navigate, manipulate, and communicate from a first-person perspective in the world. Watch our demo video to see it in action! On the official WBench leaderboard as of September 17, 2026, XGEN-JING ranked #1 on the Full split, and #2 on the Navi split. 🎉 DAO maintains shared world state and rules, computes the consequences of actions, and provides JING with only what the current observer can perceive. It also supports autonomous agent decision-making, enabling agents to act independently within an evolving shared world. Together, DAO and JING move beyond generating the next frame toward simulating the world behind it. This marks a small step towards OASIS: not just a world that responds to you, but a world—and a society—that evolves with and without you. 💪 Explore XGEN Labs～: 🔗 Website: https://t.co/tqTvPIk19B 🤗 HF: https://t.co/wxLRmJNYgO 🦊 GitHub: https://t.co/2DMvURLUsK
- Oct 6, 20269.6x their median
Say hello to Oki Home, your Personal AI Computer. We're building a future of limitless, personalized intelligence for every consumer, while keeping all your data in your hands. Reserve our first batch, shipping mid-december! https://t.co/LShA0e3iDD https://t.co/1gIy3zTerW
- Oct 12, 20266.0x their median
I made a Draconia Malfoid Visual Novel. I used Vivix's new W1 model, which is unique for it's real-time interaction. No more static cut-outs of characters and still backgrounds. Vivix's W1 model costs $0.003 per second and is fully interactive, shattering the cost barrier while being high quality and real-time. Vivix W1 is also different. It's not a simple clip model, its beta API offers something unique - it lets you modify the video on the fly, a real-time interactive video model. Most AI video is prompt in, clip out, then repeat. Every prompt a break or cut in the video. Vivix W1 is continuous, creating a seamless video experience. That means you can have an LLM handle the conversation, and stream the new chat and emotions and scenes as signals into the API to direct the character's video in real-time, without pauses. You can take characters anywhere in the world, any setting. That's kinda nuts. Vivix reached out to see if I was interested, so I put together a quick AI Visual Novel system with their API. The prototype video is impressive at this speed. The W1 model is directable in real-time. The responses, outfit changes and the dances are all live. The W1 seamless responsiveness is something no clip generator offers. At just about 10 bucks/hour of video, gaming applications are within reach. I do wish the audio was better, it tends to have drop-outs, and it currently doesn't do seamless scene transitions. But the model is in full scale training now, and I hope to have characters moving from location to location with the player. The site is clip-only for now, real-time is the beta API, browser interaction is later. This is the part I am most interested in. You can check it out at: https://t.co/Nw9PlcYCMk *Sponsored by @VivixLabs_HQ
- Aug 26, 20262.7x their median
Today we're releasing Isaac 0.5: 36B dynamic MoE, open weight 🤗 embodied foundation model. Isaac combines multimodal video understanding, embodied reasoning and robot control into a single, sparse backbone. https://t.co/AqdVpfhESm
- Oct 14, 20262.1x their median
🚀 PilotDeck 2.0 is here! Meet the open-source AI Agent Harness built to get complex work done. Developed by Tsinghua THUNLP, @modelbest_ai, @OpenBMB , and AI9Stars, PilotDeck is a model-agnostic Agent operating system that turns natural language instructions into completed tasks — with transparent data flows and the freedom to choose your models. What’s new in 2.0? 📄 End-to-end office work: Create, edit, and verify Word, Excel, and PowerPoint files — not just generate drafts. 🔄 More reliable execution: complex, long-running tasks going through interruptions. Stress-tested with 2,000 interaction messages. 🛠️ Easy to get started: One-click desktop installation and a streamlined setup flow to connect your model and create your workspace. 🔓 Open by design: Fully open-source, model-agnostic, with data flows visible to users. On Workbuddy Bench, PilotDeck scored 79.1 with Qwen3.6-35B-A3B, outperforming WorkBuddy (74.7) and Claude Code (77.3). Build your own AI workspace for the Agent era. 🔗 GitHub: https://t.co/kAzhy09NWg Web: https://t.co/VKiK2qp0An
- Sep 3, 2026
A financial agent should not get a pass only because its answer sounds polished. What it found, what it checked, and what it missed can matter just as much as the final wording. FinFIRST makes that evaluation question more concrete in practice. Here is why 👇 https://t.co/rTBa5ZBJy2
- Aug 25, 2026
14 outdated references caught before publication last month. Zero corrections shipped. In our category a tutorial can go stale in a week, and readers notice before we do. I lead a digital marketing team, and a lot of what we publish documents tools that change constantly. Product launches, platform updates, UI changes that quietly break a step someone follows. Our first fix was a monthly audit sweep. It caught the big releases and missed the small changes, which are exactly the ones people write about. So we gave Viktor the accuracy job. He tracks what changed in the tools we've written about, flags which published pieces are now wrong, and turns that into a queue our editor works from. Our editor stopped guessing what needed updating. Our researcher moved from hunting for information to checking what he surfaced. Our ops lead reprioritizes the calendar off his daily brief when something breaks. Nothing gets republished without a person signing off. Same four people, and roughly 10 hours a week back that used to go into checking our own archive. Half the tutorials ranking in our category right now are wrong, and the teams that published them have no way of knowing which half. Seats are for tools. Employees are priced on output. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #ContentOps Paid Partnership
- Oct 6, 2026
You remember saving that file, photo, or conversation. But where? Our digital lives are scattered across apps, and AI often lacks the context that connects them. Oki Home is building a “Memory Computer” around that problem. 🧵 https://t.co/UxQla4PoVq
- Aug 24, 2026
CapCut just made AI video creation even more accessible. Seedance 2.0 Fast is now available for as low as $0.01 per second, giving creators an easy-to-use workflow, powerful AI models, and seriously affordable generation all in one place. Web: https://t.co/0R3YZVWjo6 App: https://t.co/xD3Y3O3r4s #CapCut #Seedance25 #CapCutai #CapCutDidThat
- Sep 2, 2026
Privacy in AI wearables starts before data reaches the cloud. It starts with whether the people around you know the device is there. With Vocci, transparency is built in from the beginning—not added later as a disclaimer. Watch our CEO JY shares how we think about privacy by design.
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 371 interactions against 302K followers, an engagement rate of 0.123%. Measured over 9 original posts, its engagement rate beats 63% of 21,185 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 112K times each, and 0.332% of those impressions turn into an interaction. That is about 37.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, with activity on roughly 47% of days. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 9 posts sampled, 100% carry an image or video and 56% link out. The account's strongest tracked post pulled 3.7K interactions, about 10x its own typical post. Recurring topics include #elevencreativecompetitionvol1, #theworldscatchiestad.
- What is Deborah's engagement rate on X?
- Deborah (@n__deborah) has an engagement rate of 0.123%, based on the median interactions across 9 original posts from the last 30 days against 302,005 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.123%, Deborah sits above the 25th percentile of the 212,925 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 @n__deborah have real engagement?
- Its engagement rate beats 63% of the tracked X accounts closest to it in follower count (21,185 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 @n__deborah post?
- Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 1.97 posts per day across the measured window.