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Odogwu Machalla engagement report

@unicodeveloper - 113K followers on X

Measured over 28 original posts from a 30-day window, last computed on October 9, 2026.

Engagement

Bottom quarter for its size
Per follower
0.009%
of 113K followers
Per impression
0.512%
2.0K views on a typical post
Reach
1.73%
of its followers see a post
Typical post
10
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.2/day
active 20% of days
Peak time
20:00 UTC
Monday

A typical post picks up 10 interactions against 113K followers, an engagement rate of 0.009%. Measured over 28 original posts, its engagement rate beats 18% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.512% of those impressions turn into an interaction. That is about 1.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 20:00 UTC, and Monday is the busiest day of the week. Of the 28 posts sampled, 18% carry an image or video and 25% link out. The account's strongest tracked post pulled 3.4K interactions, about 342x its own typical post. Recurring topics include #30daysofsearch, #devcommunity, #day5.

Measured over 28 original posts from a 30-day window, last computed on October 9, 2026. Recurring tags: #30daysofsearch, #devcommunity, #day5.

Compared with accounts its own size

Odogwu Machalla's engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,185 accounts, accounts of similar size (decile 8 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 25% 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 0.009%, Odogwu Machalla sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 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 percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.7%

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 20:00 UTC, and Monday 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: 20:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 20:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video18% of posts+111%+108% to +115%34K
Outbound link25% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 18% 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.
  • 25% 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 125 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

  • Jan 14, 2020342x their median

    "Who is Speaking On YourĀ Behalf?" by @unicodeveloper #DEVcommunity https://t.co/MDCnKmG1l0 šŸ”„šŸš€ https://t.co/BLl5YuaqSH

    2.4K711131167View on X
  • Oct 8, 2026199x their median

    "... then I went to Covenant University. We were not trained to work for anybody. We are trained to build only. PayStack - Covenant, PiggyVest - Covenant..." - BankHead https://t.co/GIBmEk0q3z

    1.7K1942249600K viewsView on X
  • Oct 6, 2026151x their median

    Lagos Life right now šŸ‘‘ 🟢 118,836 players online šŸ‘„ 2,487,105 players in total šŸ‘€ 4,762,037 visits today, 23M all time Watch it live: https://t.co/82scd8ijJ2

    1.2K1121253491K viewsView on X
  • Sep 15, 202613x their median

    i’m flying 2 people to SF @Techweek_ > oct 6th - 10th > flights, food, housing covered > work with @lemma_ to run the biggest event of Tech Week requirements: high EQ, love meeting people, experience in event production, bonus if you can make content link to apply in comments https://t.co/M4ybYNCBep

    101420322K viewsView on X
  • Oct 7, 20265.9x their median

    Thank you, Lionel Messi 🐐🐐🐐🐐🐐🐐🐐🐐🐐🐐🐐🄺

    499102.5K viewsView on X
  • Oct 5, 20264.2x their median

    "How to build a Financial Research Agent with SEC Filings and Market Data" by @unicodeveloper #DEVCommunity #Day5 #30DaysOfSearch https://t.co/LtHB9gIChO

    337112.4K viewsView on X
  • Oct 6, 20262.7x their median

    the real cost of one engineer in 2026: - salary - $200/mo coding agent - a second $200/mo coding agent for when the first one hits its limit - h100 hours - ai psychosis therapy

    201424.8K viewsView on X
  • Oct 8, 20262.5x their median

    I solved a problem in less than 5 mins. Easter egg added to a website. I found it asap hidden under an animated carousel! Guys, it was a visual rep of a maths problem i had seen days ago because of my interest in @OpenAI math problems. Am I too AI-pilled or am I cooked? https://t.co/PYaUax40jy

    210403.3K viewsView on X
  • Oct 6, 20262.4x their median

    "How to Build an Investment Research Agent with Market Data, Filings and News" by @unicodeveloper #DEVCommunity #Day6 #30DaysOfSearch https://t.co/lBqaJ7uHcn

    221101.7K viewsView on X
  • Oct 5, 20262.4x their median

    sf tech week fomo according to the group chats vs sf tech week according to the walk from the bart station https://t.co/FdI0IJhIi1

    182312.8K 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

#30daysofsearch#devcommunity#day5#day6#day7

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 10 interactions against 113K followers, an engagement rate of 0.009%. Measured over 28 original posts, its engagement rate beats 18% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.0K times each, and 0.512% of those impressions turn into an interaction. That is about 1.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 20:00 UTC, and Monday is the busiest day of the week. Of the 28 posts sampled, 18% carry an image or video and 25% link out. The account's strongest tracked post pulled 3.4K interactions, about 342x its own typical post. Recurring topics include #30daysofsearch, #devcommunity, #day5.

What is Odogwu Machalla's engagement rate on X?
Odogwu Machalla (@unicodeveloper) has an engagement rate of 0.009%, based on the median interactions across 28 original posts from the last 30 days against 113,187 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.009%, Odogwu Machalla sits above the 10th percentile of the 212,567 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 @unicodeveloper have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom quarter for its size 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 @unicodeveloper post?
Most posts go out around 20:00 UTC, and Monday is its busiest day, at roughly 2.2 posts per day across the measured window.

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