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Hannah Brooks engagement report

@HBrooksLive - 282K followers on X

Measured over 13 original posts from a 30-day window, last computed on October 23, 2026.

Engagement

Middle of its size range
Per follower
0.096%
of 282K followers
Per impression
0.265%
102K views on a typical post
Reach
36.3%
of its followers see a post
Typical post
271
interactions (median)
Saved
0.063%
64 bookmarks on a typical post
Posting rate
2.13/day
active 73% of days
Peak time
04:00 UTC
Wednesday

A typical post picks up 271 interactions against 282K followers, an engagement rate of 0.096%. Measured over 13 original posts, its engagement rate beats 58% 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 102K times each, and 0.265% of those impressions turn into an interaction. That is about 36.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 100% carry an image or video, 31% are part of a thread and 31% link out. The account's strongest tracked post pulled 850 interactions, about 3.1x its own typical post. Recurring topics include #capcutchatgptplugin, #capcutmarketing, #capcutweb.

Measured over 13 original posts from a 30-day window, last computed on October 23, 2026. Recurring tags: #capcutchatgptplugin, #capcutmarketing, #capcutweb.

Compared with accounts its own size

Hannah Brooks's engagement rate beats 58% 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 15% 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 0.096%, Hannah Brooks sits above the 25th percentile of the 213,004 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 213,004 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,390 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 percentile0.004%
25th percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.8%

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 04:00 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: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 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 video100% of posts+111%+108% to +115%34K
Outbound link31% 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.
  • 31% 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 324 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 4, 20263.1x their median

    Today, we are releasing Ling-3.0-flash-VL, built on Ling-3.0-flash with visual understanding and visual agent capabilities. It performs well across visual perception, STEM reasoning, document intelligence, multimodal agent tasks, frontend coding, and medical report interpretation.

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  • Oct 2, 20262.6x their median

    Seeing alkali metals side by side in 3D is a completely different way to learn the periodic table. Instead of memorizing trends, you can compare the atoms visually and start to see how their structures change across the group. That’s the part I like about Gauth Academy’s Infinite Mode: chemistry starts feeling less abstract. Learning begins at https://t.co/khpu766fAC

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  • Oct 22, 20262.3x their median

    Today, we’re officially open-sourcing Ling-3.0-flash-Sante. Sante is a healthcare-enhanced MoE model with 124B total parameters and only 5.1B active parameters per token, delivering leading performance among similarly sized models on professional healthcare tasks and complex medical reasoning. Beyond answering medical questions, Sante is built for real-world healthcare research and workflows, with strengthened capabilities in deep research, multi-agent collaboration, and tool use. The model weights are now available — we welcome researchers, developers, and healthcare practitioners to explore Sante and build with it. More below ↓

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  • Aug 13, 2026

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  • Oct 9, 2026

    I gave @MigooAI a messy student-performance dataset and asked it to do more than just analyze it. Find the problems. Clean the data. Discover the patterns. Surface the insights. Then tell me what actions the data actually supports. This is what happened. đź§µ https://t.co/pUBHjljevh

    189101371102K viewsView on X
  • Aug 28, 2026

    Finance does not need an AI that sounds confident. It needs an AI that can retrieve evidence, reconcile definitions, calculate accurately, and leave an audit trail. Here is why Ling 3.0 Flash Fin matters 👇 https://t.co/SxBBBRWq81

    2111089088K viewsView on X
  • Oct 15, 2026

    Your AI team, ready to work right away! Give @MigooAI a task instead of just asking it a question. It can work through messy information, structure the data, analyze patterns, surface insights and turn the findings into recommendations you can review. You stay in control of the final decision. Try Migoo: https://t.co/4MMPBoRN4v Your AI team, ready to work right away! #workwithmigoo #migoo #migooai

    19395381115K viewsView on X
  • Sep 22, 2026

    AI MV creation just got a lot easier. 🎶✨ This video was created with Flova and the Storm MV Recreation Skill. You don’t need a complicated prompt. Just search for Storm MV Recreation on the Flova homepage, enter a simple story idea, or upload a reference image you want to recreate. Turn your inspiration into an MV with Flova. 🔗 Skill link: https://t.co/eF3igZRNju @flovaai

    17911035164K viewsView on X
  • Sep 14, 2026

    Quantization only matters if it helps people build. Ling-3.0-flash-Fin’s FP8, FP4, and INT4 checkpoints turn a model release into more practical deployment options for real-world financial applications in practice for teams deploying in production. Here is how 👇 https://t.co/UPE927EQfv

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  • Oct 18, 2026

    What if your imagination could design the ultimate car commercial? Combine futuristic car concepts with cinematic storytelling using CapCut Desktop. Save 60% on Pro or 40% on Ultra, Oct 20–30. Desktop only. #capcutpc #capcutsale #capcutmarketing https://t.co/0Jb9NLlT1Y

    17099370118K 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

#capcutchatgptplugin#capcutmarketing#capcutweb#capcutpc#capcutcodex

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 271 interactions against 282K followers, an engagement rate of 0.096%. Measured over 13 original posts, its engagement rate beats 58% 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 102K times each, and 0.265% of those impressions turn into an interaction. That is about 36.3% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 04:00 UTC, and Wednesday is the busiest day of the week. Of the 13 posts sampled, 100% carry an image or video, 31% are part of a thread and 31% link out. The account's strongest tracked post pulled 850 interactions, about 3.1x its own typical post. Recurring topics include #capcutchatgptplugin, #capcutmarketing, #capcutweb.

What is Hannah Brooks's engagement rate on X?
Hannah Brooks (@HBrooksLive) has an engagement rate of 0.096%, based on the median interactions across 13 original posts from the last 30 days against 282,267 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.096%, Hannah Brooks sits above the 25th percentile of the 213,004 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 @HBrooksLive have real engagement?
Its engagement rate beats 58% 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 @HBrooksLive post?
Most posts go out around 04:00 UTC, and Wednesday is its busiest day, at roughly 2.13 posts per day across the measured window.

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