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Deborah engagement report

@n__deborah - 304K followers on X

Measured over 17 original posts from a 30-day window, last computed on September 5, 2026.

Engagement

Middle of its size range
Per follower
0.092%
of 304K followers
Per impression
0.252%
111K views on a typical post
Reach
36.4%
of its followers see a post
Typical post
279
interactions (median)
Saved
0.07%
77 bookmarks on a typical post
Posting rate
1.9/day
active 47% of days
Peak time
17:00 UTC
Wednesday

A typical post picks up 279 interactions against 304K followers, an engagement rate of 0.092%. Measured over 17 original posts, its engagement rate beats 60% 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 111K times each, and 0.252% of those impressions turn into an interaction. That is about 36.4% 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 47% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 17 posts sampled, 71% carry an image or video, 24% are part of a thread and 47% link out. The account's strongest tracked post pulled 986 interactions, about 3.5x its own typical post. Recurring topics include #dreamina, #dreaminapartner, #traces.

Measured over 17 original posts from a 30-day window, last computed on September 5, 2026. Recurring tags: #dreamina, #dreaminapartner, #traces.

Compared with accounts its own size

Deborah's engagement rate beats 60% 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 17% 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 0.092%, Deborah sits above the 25th percentile of the 68,576 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.5%
p902.09%
p99116.4%
Engagement rate as a share of followers, across the 68,576 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 55,420 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.5%
90th percentile2.09%
99th percentile116.4%

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 17:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video71% of posts+111%+108% to +115%34K
Outbound link47% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 71% 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.
  • 47% 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 559 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 26, 20263.5x 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

    8021043347266K viewsView on X
  • Sep 2, 20262.0x their median

    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.

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  • 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

    248116290119K viewsView on X
  • 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

    221125300122K viewsView on X
  • 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

    18413630040K viewsView on X
  • Aug 25, 2026

    🚨 One 30-second clip. Two price tags: $0.78 or $3.21. Which one are you choosing? 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. #Dreamina #DreaminaPartner https://t.co/NXOEMsa4DV

    17712732029K viewsView on X
  • Aug 25, 2026

    You don't need to worry about servers, databases, or auth systems to start building your idea. SuperComputer brings the AI models and infrastructure together in one place. Let me explain ↓

    20599280140K viewsView on X
  • Sep 3, 2026

    The hardest part of content isn't creating it. It's getting approved work across the finish line. I work with a small content team publishing AI, marketing, and technology content every week, and we kept running into the same problem. A piece would be finished, but it still needed channel versions, assets, approvals, scheduling, and calendar updates before it could actually go live. Content wasn't stuck because it wasn't written. It was stuck because nobody owned everything after "approved." So I brought Viktor into Slack to own our publishing operations. My first attempt wasn't great. I gave him a broad brief around our content calendar, but the output still needed too much cleanup. I hadn't actually defined what I wanted him to own. So I narrowed it down: take approved content, check what's missing, prepare what each channel needs, and get it into the publishing queue. It didn't stay that simple. Our editor started relying on him to keep the queue moving. Our social lead delegated platform formatting and scheduling. Our ops lead handed him deadline tracking, missing approvals, and routine follow-ups. The team stopped spending its time figuring out what needed to happen next. Viktor kept the workflow moving while humans handled the creative and editorial decisions. I'd rather have an AI employee own the publishing grind while the team focuses on making the content worth publishing. Most AI helps create content. Viktor makes sure it gets published. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #ContentOps #MarketingOps Paid Partnership

    194100120108K viewsView on X
  • Aug 24, 2026

    🚨 One 30-second clip. Two price tags: $0.78 or $3.21. Which one are you choosing? 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. #Dreamina #DreaminaPartner https://t.co/Dp1r7XcouG

    15110127083K viewsView on X
  • Aug 26, 2026

    Can we talk about how most AI avatars still look weird?? The lips are always slightly off, the expressions feel stiff, and it just takes you right out of it. I tried @WizstarAI AI Avatar Turbo this week after it hit #1 Product of the Day on Product Hunt, and I genuinely didn’t expect to be this impressed. One photo is all it takes to create a talking avatar. The lip sync stays accurate even with different camera angles, or when something is covering part of the face. And the facial expressions actually feel much more natural. The tech behind it is pretty interesting too. Wizstar uses a two-stage approach that separates speech, mouth movement, and head pose before reconstructing the facial details. It seems to be a big part of why the final result feels less stiff. And you only have to create the avatar once. Then reuse it for social content, presentations, training videos, product demos, and more. You can even create a digital twin with your own appearance and voice. Free credits when you sign up 👉 https://t.co/rrA8hQcL8I @WizstarAI #Wizstar #AIAvatar #AIVideo #ContentCreation

    15593270111K viewsView on X

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

#dreamina#dreaminapartner#traces

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 279 interactions against 304K followers, an engagement rate of 0.092%. Measured over 17 original posts, its engagement rate beats 60% 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 111K times each, and 0.252% of those impressions turn into an interaction. That is about 36.4% 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 47% of days. Most posts go out around 17:00 UTC, and Wednesday is the busiest day of the week. Of the 17 posts sampled, 71% carry an image or video, 24% are part of a thread and 47% link out. The account's strongest tracked post pulled 986 interactions, about 3.5x its own typical post. Recurring topics include #dreamina, #dreaminapartner, #traces.

What is Deborah's engagement rate on X?
Deborah (@n__deborah) has an engagement rate of 0.092%, based on the median interactions across 17 original posts from the last 30 days against 303,686 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.092%, Deborah sits above the 25th percentile of the 68,576 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 60% 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 @n__deborah post?
Most posts go out around 17:00 UTC, and Wednesday is its busiest day, at roughly 1.9 posts per day across the measured window.

Keep going

Deborah (@n__deborah) Engagement Rate - 0.092% | PlayerSells