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Тsфdiиg engagement report

@tsoding - 119K followers on X

Measured over 23 original posts from a 30-day window, last computed on October 6, 2026.

Engagement

Top quarter for its size
Per follower
0.953%
of 119K followers
Per impression
2.74%
41K views on a typical post
Reach
34.8%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.162%
67 bookmarks on a typical post
Posting rate
1.23/day
active 60% of days
Peak time
11:00 UTC
Wednesday

A typical post picks up 1.1K interactions against 119K followers, an engagement rate of 0.953%. Measured over 23 original posts, its engagement rate beats 88% of 15,519 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 41K times each, and 2.74% of those impressions turn into an interaction. That is about 34.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 48% carry an image or video and 22% are part of a thread. The account's strongest tracked post pulled 10K interactions, about 8.9x its own typical post.

Measured over 23 original posts from a 30-day window, last computed on October 6, 2026.

Compared with accounts its own size

Тsфdiиg's engagement rate beats 88% of the tracked X accounts closest to it in follower count (15,519 accounts, accounts of similar size (decile 7 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 70% 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 0.953%, Тsфdiиg sits above the 75th percentile of the 157,102 accounts in this comparison. That places it in the top 25% band, which runs 0.604% to 2.32%.

p100.003%
p250.022%
p50 (median)0.128%
p750.604%
p902.32%
p9983.4%
Engagement rate as a share of followers, across the 157,102 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 26,052 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 percentile0.003%
25th percentile0.022%
50th percentile0.128%
75th percentile0.604%
90th percentile2.32%
99th percentile83.4%

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 11:00 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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 video48% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 48% 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.
  • 0% 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 109 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

  • Aug 26, 20268.9x their median

    You don't actually want job. Nobody dreams of labor. What you want is money. And even money is not what you want. You want the things you can buy with money. But what if you could get the things you want without any money? Anyways, have you heard about robbery?

    9.2K66122869192K viewsView on X
  • Aug 19, 20227.4x their median

    I think you guys should stop learning languages and start learning programming already.

    7.6K57313076View on X
  • Sep 17, 20265.1x their median

    To all the people asking me about what Architecture I use for my Software: my brothers and sisters in Christ, I program in C. The Architecture is obviously Brutalism. https://t.co/fLc5nuuxv6

    5.4K249851962K viewsView on X
  • Aug 31, 20263.6x their median

    C++ is probably the most valuable language. It provides lvalues, rvalues, prvalues, xvalues, glvalues...

    3.9K128467120K viewsView on X
  • Sep 23, 20263.4x their median

    Made the balls detach on pause https://t.co/8zjMAJre3G

    3.7K887421115K viewsView on X
  • Sep 13, 20263.1x their median

    I recently learnt that in the US eggs are sold in packs of 12. And I now I'm annoyed that here in Russia we have only packs of 10. 12 has so many divisors: 2, 3, 4, and 6! 10 has only 2 and 5. If I decide to eat 3 eggs per day I have to buy 3 packs of 10 to finish them evenly.

    3.2K3821323111K viewsView on X
  • Sep 19, 20263.1x their median

    The biggest advancement in Programming was probably Static Typing. I don't feel like anything ever came close so far.

    3.3K5311111144K viewsView on X
  • Sep 30, 20263.0x their median

    What I like about not using LLM-based tools is writing code is so tedious you are looking for solutions to write less code or no code at all and you usually find them. Which improves your project dramatically in a longer run.

    3.2K13979666K viewsView on X
  • Aug 18, 20262.7x their median

    The true miracle of software is the amount of stupid technical decisions it can tolerate.

    2.9K13037748K viewsView on X
  • Sep 15, 20262.7x their median

    People often forget that progress is when the things get better.

    2.8K17152848K 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 1.1K interactions against 119K followers, an engagement rate of 0.953%. Measured over 23 original posts, its engagement rate beats 88% of 15,519 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 41K times each, and 2.74% of those impressions turn into an interaction. That is about 34.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.2 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 23 posts sampled, 48% carry an image or video and 22% are part of a thread. The account's strongest tracked post pulled 10K interactions, about 8.9x its own typical post.

What is Тsфdiиg's engagement rate on X?
Тsфdiиg (@tsoding) has an engagement rate of 0.953%, based on the median interactions across 23 original posts from the last 30 days against 119,183 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.953%, Тsфdiиg sits above the 75th percentile of the 157,102 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 @tsoding have real engagement?
Its engagement rate beats 88% of the tracked X accounts closest to it in follower count (15,519 accounts), which puts it in the top 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 @tsoding post?
Most posts go out around 11:00 UTC, and Wednesday is its busiest day, at roughly 1.23 posts per day across the measured window.

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