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Hannah Brooks engagement report

@HBrooksLive - 283K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 6, 2026.

Engagement

Per follower
0.113%
of 283K followers
Per impression
0.363%
88K views on a typical post
Reach
31.1%
of its followers see a post
Typical post
319
interactions (median)
Saved
0.13%
114 bookmarks on a typical post
Posting rate
1.5/day
active 70% of days
Peak time
07:00 UTC
Wednesday

Early reading. We have captured 7 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 319 interactions against 283K followers, an engagement rate of 0.113%. Posts are seen about 88K times each, and 0.363% of those impressions turn into an interaction. That is about 31.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video and 43% link out. The account's strongest tracked post pulled 683 interactions, about 2.1x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 7 original posts from a 30-day window, last computed on September 6, 2026.

Where this sits in the catalog

At 0.113%, Hannah Brooks sits above the 50th percentile of the 66,536 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.5%.

p100.002%
p250.016%
p50 (median)0.1%
p750.5%
p902.09%
p99119.7%
Engagement rate as a share of followers, across the 66,536 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,995 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 percentile119.7%

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 07:00 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: 07:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 07:00 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 link43% 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.
  • 43% 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 393 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, 20262.1x 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.

    517935419398K viewsView on X
  • Aug 13, 2026

    🇺🇸 4 FREE SEEDANCE 2.5 GENERATIONS ON DREAMINA — Queue-FREE. Full SPEED, always. 3 days only. Plus, the LOWEST PRICE starts at just $0.097/sec, applies wherever you are. “Unlimited” AI video is only exciting until you realize speed is part of the price. I’d rather know the actual cost, skip the queue, and keep generating at full speed. That’s why this Dreamina Seedance 2.5 offer caught my eye. Check the banner on the website 👉 https://t.co/kBSSpqSWF6 #Dreamina #DreaminaPartner #Seedance25

    20611523055K 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

    2191139088K viewsView on X
  • Sep 1, 2026

    Combating summer slide in math doesn't require expensive 1-on-1 intervention. 200+ free AI math courses with built-in quizzes pause lessons every few minutes to test recall and rebuild confidence. Give your students a reliable, academic-aligned study tool for home. https://t.co/UyYXN9cnzb

    28713172131K viewsView on X
  • Jul 24, 2026

    What if you could get big-model quality from your AI agents without the big-model cost? That's no longer a dream. @AntLingAGI Ling-3.0-flash is here, a hybrid-reasoning MoE model that's the ultimate execution engine for agents. And it's FREE on OpenRouter right now! Here's how it redefines agent workflows:

    18510215085K viewsView on X
  • Aug 7, 2026

    Dreamina officially led the charge as the very first platform to drop Seedance 2.5 in the US. 🚀🇺🇸 Ready to explore the entire Seedance lineup, leverage smart editing tools, and test out the massive 3-minute long-generation mode? Check it out: https://t.co/Y9oU5KqR1x 🎥✨ On the pricing front, Seedance 2.5 starts at $0.097/sec, while the reliable Seedance 2.0 starts at $0.066/sec. They even offer price matching support to make sure you're getting the absolute best value. 💡💰 👀 And if you're thinking about trying Seedance 2.5, you may want to hold on just a little longer. Dreamina has a special promotion for 2.5 coming very soon. Stay tuned! #Dreamina #Seedance25 #DreaminaPartner

    1261172525119K viewsView on X
  • Sep 5, 2026

    Giving more people access to financial AI is useful. Giving them a public way to evaluate the systems they build is just as important. Ant Ling’s open source release of Ling-3.0-flash-Fin and FinFIRST puts both pieces on the table. Here is how 👇 https://t.co/AKpnmv7Rdr

    1631189076K viewsView on X
  • Aug 26, 2026

    Most AI brainstorming sessions end the exact same way: You have 2,000 words of brilliant ideas trapped in a chat window. Then you spend the next two hours turning those raw notes into a deck your team can actually look at. I cut that entire second half out of my workflow using Claude + Gamma. 🧵

    16889100130K viewsView on X
  • Aug 26, 2026

    I put Wizstar AI Avatar Turbo through a practical test: can an AI talking avatar stay convincing when the subject moves naturally and has objects near their face? Using a single photo, a short script, and a chosen voice, Wizstar turns the image into a talking avatar video with smooth facial expressions and realistic lip sync. What stood out to me was how stable the lip sync remained with subtle movement and different framing, especially when parts of the face were partially covered. Instead of setting up lighting, camera gear, and multiple reshoots every time you need a new clip, this workflow lets you turn one image into reusable video content in minutes. Wizstar recently hit #1 Product of the Day on Product Hunt, so if you’re exploring AI avatars, it’s definitely worth checking out. https://t.co/QNkRg04isX @WizstarAI #Wizstar #ProductHunt #AIAvatar #AIVideo

    1367512025K 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.

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Reading these numbers

A typical post picks up 319 interactions against 283K followers, an engagement rate of 0.113%. Posts are seen about 88K times each, and 0.363% of those impressions turn into an interaction. That is about 31.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.5 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 07:00 UTC, and Wednesday is the busiest day of the week. Of the 7 posts sampled, 100% carry an image or video and 43% link out. The account's strongest tracked post pulled 683 interactions, about 2.1x its own typical post. Only 7 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Hannah Brooks's engagement rate on X?
Hannah Brooks (@HBrooksLive) has an engagement rate of 0.113%, based on the median interactions across 7 original posts from the last 30 days against 282,717 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.113%, Hannah Brooks sits above the 50th percentile of the 66,536 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?
There is not yet enough sample to rank this account against others of its size.
When does @HBrooksLive post?
Most posts go out around 07:00 UTC, and Wednesday is its busiest day, at roughly 1.5 posts per day across the measured window.

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