Back to @kafangi's profile

𝐉!𝐌𝐌𝐘 πŸ”° engagement report

@kafangi - 658K followers on X

Measured over 68 original posts from a 30-day window, last computed on October 5, 2026.

Engagement

Middle of its size range
Per follower
0.034%
of 658K followers
Per impression
2.16%
10K views on a typical post
Reach
1.57%
of its followers see a post
Typical post
224
interactions (median)
Saved
0.019%
2 bookmarks on a typical post
Posting rate
4.67/day
active 27% of days
Peak time
15:00 UTC
Saturday

A typical post picks up 224 interactions against 658K followers, an engagement rate of 0.034%. Measured over 68 original posts, its engagement rate beats 53% of 20,444 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 10K times each, and 2.16% of those impressions turn into an interaction. That is about 1.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.7 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 15:00 UTC, and Saturday is the busiest day of the week. Of the 68 posts sampled, 57% carry an image or video. The account's strongest tracked post pulled 16K interactions, about 72x its own typical post. Recurring topics include #hbrfanzone, #lionheartedpodcast, #mohoromainoorofm.

Measured over 68 original posts from a 30-day window, last computed on October 5, 2026. Recurring tags: #hbrfanzone, #lionheartedpodcast, #mohoromainoorofm.

Compared with accounts its own size

𝐉!𝐌𝐌𝐘 πŸ”°'s engagement rate beats 53% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 69% 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 0.034%, 𝐉!𝐌𝐌𝐘 πŸ”° sits above the 25th percentile of the 204,694 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,694 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,880 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 percentile0.024%
50th percentile0.143%
75th percentile0.677%
90th percentile2.55%
99th percentile82.4%

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 15:00 UTC, and Saturday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video57% of posts+111%+108% to +115%34K
Outbound link4% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 57% 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.
  • 4% 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 120 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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 1, 202672x their median

    Vaz is here! πŸ‘‹ πŸ”— https://t.co/LLiB506djP https://t.co/TEcaknhA5d

    13K7011.2K1.1K5.6M viewsView on X
  • Aug 25, 202641x their median

    We just open-sourced our entire marketing playbook. After huge viral success with our Marketing OS running on Grok Bot, we decided to bring it to Claude. Introducing Marketing AGI by Maxfusion. You no longer need your first 5 marketing hires. πŸ“ Marketing Department ┃ ┣ πŸ“ Head of Marketing ┃ ┣ πŸ“ Positioning & Offer Design ┃ ┣ πŸ“ Pricing Strategy ┃ β”— πŸ“ Competitor Teardowns, Public Data Only ┃ ┣ πŸ“ Copywriter ┃ ┣ πŸ“ 20 Variants, Panel-Scored ┃ ┣ πŸ“ Email Sequences, Written in Full ┃ β”— πŸ“ Posts Built to Survive the Feed ┃ ┣ πŸ“ Creative Strategist ┃ ┣ πŸ“ The 18-Tactic Hook Engine ┃ ┣ πŸ“ Fatigue Caught at the Concept Level ┃ β”— πŸ“ Next Tests, Ranked & Briefed ┃ ┣ πŸ“ Launch Lead ┃ ┣ πŸ“ The Runway Before Launch Day ┃ β”— πŸ“ Product Hunt, Hour by Hour ┃ ┣ πŸ“ GEO Lead ┃ ┣ πŸ“ Ranked by ChatGPT & Perplexity ┃ β”— πŸ“ App Store, Metadata to Screenshots ┃ β”— πŸ“ Analyst γ€€ ┣ πŸ“ Audits, Weighted 0-100 γ€€ ┣ πŸ“ Numbers That Mean Something γ€€ β”— πŸ“ AI Slop, Caught on Sight And they coordinate all the work: A single Claude skill runs the whole loop: The Analyst finds the problems, the Copywriter rewrites it, the Creative Strategist tests the new version, and the Analyst grades the outcome. Comment "AGI" and I'll send you the setup.

    3.8K6114.7K63685K viewsView on X
  • Aug 25, 202636x their median

    Nimeleta mtu huku na mambo iko hivi 😬. https://t.co/ETIwdV6LlX

    6.8K814324149608K viewsView on X
  • Sep 10, 202622x their median

    Hawa wasee wa travel and tours huuweka mabaddie kwa poster then siku ya kutravel unapata Heha movers 😳😭

    4.1K723882773K viewsView on X
  • Sep 1, 202619x their median

    How did millenials get home after a night out in the era before ubers? Come to think of it,how was life actually before ubers?

    1.7K1727731.7K6.0M viewsView on X
  • Aug 25, 202616x their median

    Zambia shuts down all courts in the country to prevent the opposition party from filing a petition to challenge the outcome of the election. Zambia's President Hakainde Hichilema was once a victim of political witchhunt. The Army have blocked access to the Constitutional Court. https://t.co/e1iQebDGR9

    2.2K694277276265K viewsView on X
  • Sep 1, 202612x their median

    Quick recovery to me😩 https://t.co/NMsf39vbXA

    2.3K106272116344K viewsView on X
  • Oct 3, 202612x their median

    Hamerkop in Murang'a https://t.co/fzLGNlwMzC

    2.3K346502223K viewsView on X
  • Oct 3, 202612x their median

    Uhuru Kenyatta huwa anamake statement moja inatingiza the entire state house. Na nyumbani anapendwa, huyu akisema Sifuna tosha the whole mountain won't even think twice. They have learnt the hard way.

    2.4K266441132K viewsView on X
  • Sep 10, 202612x their median

    What is the rank of Ruto's driver? https://t.co/blAH6VzCAN

    2.4K1779514159K 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

#hbrfanzone#lionheartedpodcast#mohoromainoorofm#tukonasay

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.

Buy or sell Twitter (X) accounts - escrow-protected

PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.

Reading these numbers

A typical post picks up 224 interactions against 658K followers, an engagement rate of 0.034%. Measured over 68 original posts, its engagement rate beats 53% of 20,444 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 10K times each, and 2.16% of those impressions turn into an interaction. That is about 1.57% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.7 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 15:00 UTC, and Saturday is the busiest day of the week. Of the 68 posts sampled, 57% carry an image or video. The account's strongest tracked post pulled 16K interactions, about 72x its own typical post. Recurring topics include #hbrfanzone, #lionheartedpodcast, #mohoromainoorofm.

What is 𝐉!𝐌𝐌𝐘 πŸ”°'s engagement rate on X?
𝐉!𝐌𝐌𝐘 πŸ”° (@kafangi) has an engagement rate of 0.034%, based on the median interactions across 68 original posts from the last 30 days against 657,690 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.034%, 𝐉!𝐌𝐌𝐘 πŸ”° sits above the 25th percentile of the 204,694 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 @kafangi have real engagement?
Its engagement rate beats 53% of the tracked X accounts closest to it in follower count (20,444 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 @kafangi post?
Most posts go out around 15:00 UTC, and Saturday is its busiest day, at roughly 4.67 posts per day across the measured window.

Keep going