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Kasie Hunt engagement report

@kasie - 561K followers on X

Measured over 1 original post from a 30-day window, last computed on August 27, 2026.

Engagement

Per follower
0.175%
of 561K followers
Per impression
0.114%
866K views on a typical post
Reach
154.4%
of its followers see a post
Typical post
983
interactions (median)
Saved
0.012%
107 bookmarks on a typical post
Posting rate
0.17/day
active 13% of days
Peak time
17:00 UTC
Friday

Early reading. We have captured 1 original post 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 983 interactions against 561K followers, an engagement rate of 0.175%. Posts are seen about 866K times each, and 0.114% of those impressions turn into an interaction. That is about 154.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 7.6K interactions, about 7.7x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on August 27, 2026.

Where this sits in the catalog

At 0.175%, Kasie Hunt sits above the 50th percentile of the 36,852 accounts in this comparison. That places it in the above the median band, which runs 0.08% to 0.435%.

p100.002%
p250.012%
p50 (median)0.08%
p750.435%
p902.10%
p99159.8%
Engagement rate as a share of followers, across the 36,852 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,564 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 percentile0.012%
50th percentile0.08%
75th percentile0.435%
90th percentile2.10%
99th percentile159.8%

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 17:00 UTC, and Friday 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 6%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%51K
01:00 UTC-2%52K
02:00 UTC-3%50K
03:00 UTC-4%54K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%61K
09:00 UTC-3%70K
10:00 UTC-2%72K
11:00 UTC-3%79K
12:00 UTC-2%87K
13:00 UTC-3%95K
14:00 UTC-4%98K
15:00 UTC-2%101K
16:00 UTC-4%99K
17:00 UTC-2%91K
18:00 UTC-1%85K
19:00 UTC-1%80K
20:00 UTC-1%75K
21:00 UTC-1%66K
22:00 UTC-2%58K
23:00 UTC-2%52K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%232K
Monday0%290K
Tuesday-2%281K
Wednesday-1%252K
Thursday-2%245K
Friday-3%254K
Saturday+3%228K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jan 27, 20267.7x their median

    Trump: "With that being said, you can't have guns. You can't walk in with guns. You just can't. You can't walk in with guns. You can't do that. But it's just a very unfortunate incident." https://t.co/r9PE9pPJd4

    4.8K9068951.0K2.4M viewsView on X
  • Jan 24, 2026

    Man Arrested at Sundance For Racially Motivated Incident at CAA Party https://t.co/tSEB8CIX6k

    897204165553.7M viewsView on X
  • Aug 7, 2026

    Former Homeland Security Secretary Kristi Noem attends bronze statue unveiling that honors her governorship of South Dakota. https://t.co/Dbnq4GndLH

    5317030082866K viewsView on X
  • Jan 21, 2026

    FRIDAY: @BillMaher is BACK with the season premiere of Real Time feat. Maj. Gen. @PaulDEaton52, @SenJohnKennedy and @Kasie @ 10PM on @hbomax! Reply with a question and watch the conversation continue after the show on #RTOvertime. https://t.co/YHgOu1mr1m

    40050891290K viewsView on X
  • May 21, 2026

    I’ve seen more thorough autopsies from the local coroner’s office. This DNC autopsy report has nothing to do with how to win a race. But if you want a roadmap for how to lose one, it’s probably useful. Winning isn’t as complicated as it looks. Candidates who can appeal to a broad coalition of Democrats and Independents, who know how to communicate why they’re running and why that matters to voters — that was the secret sauce behind Bill Clinton and Barack Obama’s electoral and reelection successes. It was also the formula that helped Nancy Pelosi become Speaker. The last three presidential elections were decided by roughly half a million voters across seven states. We need candidates who know how to win those states and earn the confidence of those swing voters. It’s that simple. And you won't find the combination to that lock in this autopsy report.

    2925210517143K viewsView on X
  • Dec 19, 2025

    Banning social media for kids 16 and under is mission-critical for our children and families. Parents shouldn’t have to face off against TikTok, Instagram, and Snapchat by themselves. Right now, adolescence is a battle between adults and algorithms — and no surprise, the algorithms are winning. TikTok and Facebook’s business model is failing our kids. We’ve seen what happens when we give parents a helping hand: teen smoking dropped from the mid-30s to single digits, academic performance improved when we banned phones in classrooms, and drunk-driving fatalities fell when we set designated-driver norms. Parents can’t fight these battles alone. It’s time to step up for our shared values and core principles. Our kids deserve it and our parents demand it.

    171281621950K viewsView on X
  • Feb 16, 2026

    My analysis from Munich—  Many of the Democrats who came to the Munich Security Conference this weekend want to be president. But even if one of them can win the White House in 2028, they may find they can no longer claim the title every American president since the 1940s has borne: leader of the free world. https://t.co/Z9jHUxgGRn

    2395864336K viewsView on X
  • Jul 21, 2026

    We’re live covering Defense Secretary Pete Hegseth’s testimony on Capitol Hill — our text chain providing live analysis on air as it unfolds. Join us @CNN https://t.co/A2qnhimO3v

    3631114018K viewsView on X
  • May 27, 2026

    “I believe the prices are transitory,” says the Treasury Secretary 🤔

    443063213K viewsView on X
  • Feb 17, 2026

    “George Washington’s humility in giving up power willingly remains among the most consequential decisions and important examples in American politics,” former President George W. Bush writes @TheBushCenter

    1021611216K 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 983 interactions against 561K followers, an engagement rate of 0.175%. Posts are seen about 866K times each, and 0.114% of those impressions turn into an interaction. That is about 154.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.17 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 17:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 7.6K interactions, about 7.7x its own typical post. Only 1 original post 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 Kasie Hunt's engagement rate on X?
Kasie Hunt (@kasie) has an engagement rate of 0.175%, based on the median interactions across 1 original posts from the last 30 days against 561,000 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.175%, Kasie Hunt sits above the 50th percentile of the 36,852 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 @kasie have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @kasie post?
Most posts go out around 17:00 UTC, and Friday is its busiest day, at roughly 0.17 posts per day across the measured window.

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