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
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 212,656 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 | 0.697% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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.
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 | 31% 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.
- 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
- 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 ↓
- Aug 13, 2026
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- Oct 9, 2026
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- Aug 28, 2026
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- Oct 15, 2026
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- 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
- 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
- Oct 18, 2026
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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 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 212,656 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.