My Doctor
@mmmicheni · joined 02 May 2011
Believes | Doctor | 🎵 | Baba @KenyansNoContxt & @MemeGalleryKE | Deadbeat to @Maneno_KE
27 345Followers
2 794Following
70 963Posts total
253.2KViews on collected posts
Latest posts
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you see what’s happening with the Uganda fuel G2G story and it makes sense why our neighbours voted against our AU candidate… 😭
686 views · 9 likes
· 0 reposts · 0 replies
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I be on my way to my 9-5 as a health worker spinning Von. I’m actually dreading my Spotify Wrapped for this year 😭😭😭😭😂
613 views · 8 likes
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they took the idea and RAAAAAAAAN with it! ✨
Spotify now lets you play DJ & curate the tempo you want your jams in a playlist to play in.
this in addition to also letting you automix your playlist so it sounds like one long DJ set (next tweet) https://t.co/inhzW11TWw
1.3K views · 15 likes
· 3 reposts · 2 replies
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napenda sana hii mziki ya ma-punk na ma-coolkid. 🤙🏽🤙🏽😁
866 views · 2 likes
· 0 reposts · 1 replies
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Thank you for the successful funds drive queens.
Queue in an alphabetical order niwaeke za lunch💕😅 https://t.co/kwk3UnXpq3
29.6K views · 735 likes
· 40 reposts · 14 replies
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@mmmicheni Don't dare give her that money, anakuibia!! Hakuna wig ya hiyo pesa nani.. wig huanza 45k cheapest so 25 she wants to con you brother
3.5K views · 93 likes
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Ladies, frfr Salama wig ni 25k ama huyu ananicheza?
88.1K views · 491 likes
· 25 reposts · 130 replies
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An addition to my catalogue of tweets about approaching job opportunities like an actor:
Nice to consider that actors also fumble interviews because of a bad joke.. don’t get too comfortable in that room 😭😭😂
https://t.co/liiq6Fd0E8
3.6K views · 9 likes
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1:44
The biggest surprise came from Uganda, Burundi, Djibouti & Tanzania all not voting for Kenya. Check the last paragraph. 👀 😅
Might this explain why President Ruto has since spent so much time in those countries, visiting each of them at least once? https://t.co/LaKU4fsRmq
1.5K views · 2 likes
· 1 reposts · 1 replies
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2. AI-integration that arranges the songs in playlist by BPM so that the tempo either builds up or tones down. 👌🏽
4.8K views · 4 likes
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anyway, a man must encourage himself... kazi nilikuwa nimepangia sikupata! 😂 https://t.co/YRG3orSyo2
40.7K views · 15 likes
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0:07
And a list of other would-have-been's in movie casting; including Will Smith almost being cast as Neo in The Matrix! 😅
https://t.co/bCKDsaq6v0
2.7K views · 1 likes
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3:26
This is the link to an article about it:
https://t.co/7sYWtnGWDs
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and even if they do feel that they don't want you, you can find solace in the fact that even Hollywood's richest and finest in showbiz also get rejected from time to time.
You're not alone in the suffering. 😅
https://t.co/q73Hpgnghm
2.2K views · 9 likes
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0:09
It isn't that you're not food enough, or that they don't want you.
It's just that they feel that for that role, another actor/actress would fit in better.
1.9K views · 10 likes
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So I mean, being rejected for a role isn't a life or death situation.
1.9K views · 9 likes
· 1 reposts · 1 replies
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this is THE Matthew McConaughey we're talking about.
THIS guy who improvised this chest thumping scene on THE WOLF OF WALL STREET, and now it's a cultural phenomenon!
https://t.co/1TFYOEvNpZ
2.2K views · 8 likes
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2:19
Kwanza Matthew McConaughey spoke about how it went in a 2019 TV show:
“The audition went really well. Well enough where, when I was left, I was being slapped on the back ... well enough where you go outside and call your agent and say ‘Oh, I nailed it."
https://t.co/MDuAY8R30Z
2K views · 6 likes
· 1 reposts · 1 replies
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0:44
"Before DiCaprio was cast, Matthew McConaughey, Tom Cruise and Johnny Depp were all considered for the part." https://t.co/9wPK7DaN85
1.9K views · 1 likes
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Do you know who else auditioned for the role that Leo Dicaprio played in The Titanic? https://t.co/QBQFYAAJ4y
1.9K views · 2 likes
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Maybe I was an actor in a previous life, but I find it so relatable that some famous, GREAT actors actually get turned down for roles that they have auditioned for.
1.8K views · 3 likes
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I've been thinking a lot about job rejection and I've been looking at it from the POV of actors.
🧵 https://t.co/2NkKIf1kq6
44.4K views · 51 likes
· 9 reposts · 1 replies
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Against accounts of the same size
9 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.
Median views2 415this account924median for 10K–100K
Reach, %8.83%this account3.62%median for 10K–100K
Engagement, %1.30%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 2 415 | 924 | 2.61× |
| Reach (views ÷ followers) | 8.83% | 3.62% | 2.44× |
| Engagement rate | 1.30% | 1.52% | 0.86× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
40.7K8 Sep
4.4K
4.8K27 Jan
1.5K11 Jul
3.6K10 Nov
88.1K21 Aug
6K
3.5K
29.6K28 Aug
2.4K
86619 Sep
1.3K21 Sep
613
686
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.05%8 Sep
0.07%
0.14%27 Jan
0.34%11 Jul
0.25%10 Nov
0.78%21 Aug
0.30%
2.66%
2.68%28 Aug
0.91%
0.35%19 Sep
1.52%21 Sep
1.31%
1.31%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes78.1%1 524 in total
Reposts4.2%82 in total
Replies8.6%167 in total
Quotes2.4%46 in total
Bookmarks6.8%132 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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