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Nikita Odintsov engagement report

@NikitaOdintsov - 342K followers on X

Measured over 41 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Bottom quarter for its size
Per follower
0.003%
of 342K followers
Per impression
1.20%
836 views on a typical post
Reach
0.24%
of its followers see a post
Typical post
10
interactions (median)
Saved
0.12%
1 bookmarks on a typical post
Posting rate
2.1/day
active 70% of days
Peak time
10:00 UTC
Monday

A typical post picks up 10 interactions against 342K followers, an engagement rate of 0.003%. Measured over 41 original posts, its engagement rate beats 15% of 6,874 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 836 times each, and 1.20% of those impressions turn into an interaction. That is about 0.245% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 41 posts sampled, 34% carry an image or video and 15% link out. The account's strongest tracked post pulled 11K interactions, about 1145x its own typical post.

Measured over 41 original posts from a 30-day window, last computed on September 3, 2026. Recurring tag: #вциом.

Compared with accounts its own size

Nikita Odintsov's engagement rate beats 15% of the tracked X accounts closest to it in follower count (6,874 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 52% 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 0.003%, Nikita Odintsov sits above the 10th percentile of the 66,258 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 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 percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 10:00 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: 10:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 10:00 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 video34% of posts+111%+108% to +115%34K
Outbound link15% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 34% 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.
  • 15% 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 751 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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 21, 20261145x their median

    Dear @elonmusk please, PLEASE for the love of what ever you hold holy to you, disable politicians from being able to turn their comments off or enabling only accounts they allow to comment. We NEED to hold these people to account before things really turn violent.

    11K56212825107K viewsView on X
  • Aug 13, 2026783x their median

    BREAKING: 𝕏 is rolling out a new “Under the Hood” page that shows whether your account or posts have labels that may limit their reach. You can see what each label means, how it affects visibility, and download a monthly report. Check yours: https://t.co/jTRvDNwEeG https://t.co/w6mF1I3js2

    5.3K1.1K8085701.2M viewsView on X
  • Apr 11, 2026582x their median

    Привет твиттеряне, пишу из Москвы на московском языке. На каком языке это твит видеть вы?

    3.5K1422.1K5378K viewsView on X
  • Aug 20, 2026258x their median

    Life Advice #1 : Never take Annual sub for any platform. https://t.co/wg2DyaKwdu

    2.5K22651096K viewsView on X
  • Aug 22, 202666x their median

    Сегодня невольно услышал разговор трёх взрослых женщин в кафе. Обсуждали, как найти «нормального мужчину». Среди критериев прозвучало: «Он должен искать не маму, а партнёра». И вот тут я поймал себя на мысли, что мужчины вообще редко мыслят такими категориями. Нам не нужны «партнёрские модели», терминология из психологических подкастов и уж точно не хочется жить внутри отношений как внутри бесконечного проекта с KPI и регламентами. Большинство нормальных мужчин, как мне кажется, ждут гораздо более простых вещей. Не выносить мозг по мелочам. Не обесценивать то, что мужчина делает. Не превращать каждую бытовую сложность в экзамен на «правильность». И главное - искренне ценить заботу, усилия, ответственность и поступки. Потому что мужчина обычно очень хорошо чувствует, когда его действительно ценят. И очень быстро понимает, когда им просто пользуются, воспитывают или бесконечно проверяют на соответствие чьим-то представлениям. Мне кажется, в отношениях вообще слишком много стало терминов и слишком мало простых человеческих вещей. Уважение. Тепло. Благодарность. Спокойствие рядом. Наверное, именно это мужчины и ищут гораздо чаще, чем очередную «модель партнёрства».

    502431061344K viewsView on X
  • Aug 21, 202635x their median

    😂😂😂 идея ТОП https://t.co/d7IKK6iE7b

    331155217K viewsView on X
  • Aug 20, 20269.5x their median

    Пытаюсь понять как возить детей в школу. С бензином реально проблемы.

    1527626.3K viewsView on X
  • Sep 2, 20266.3x their median

    В России наступил шуфутинов день https://t.co/PNOqw696UT

    4911302.0K viewsView on X
  • Aug 17, 20264.1x their median

    Сегодня удалось посмотреть «Одиссею» Нолана. Абсолютная дичь. Мне в какой-то момент стало интересно. Под чем такое придумывают. Кастинг похоже проводил директор по инклюзивности Netflix. Изуродовали всех и Елену Прекрасную и циклопа.

    2701315.3K viewsView on X
  • Aug 11, 20263.6x their median

    В одном посте много мыслей. Технократы нового времени мы такие. Начну с неожиданного. Возможно, Apple права. В самих LLM, скорее всего, больших денег не будет. OpenAI и Anthropic уже конкурируют с китайскими лабораториями в гонке на снижение стоимости интеллекта, а каждый следующий шаг в качестве моделей становится всё дороже. Российские Yandex AI и GigaChat - хорошие продукты, но пока их естественный горизонт в основном внутренний рынок. Плюс они слишком тесно воспринимаются как часть крупных экосистем и групп влияния внутри страны. А Apple может спокойно смотреть, как остальные сжигают миллиарды. Потом взять сильную open-source модель, глубоко встроить её в свои устройства, назвать Apple Intelligence и продавать миру не сам LLM, а доверие, приватность и удобство. И люди будут платить. Потому что нормально не хотеть, чтобы кто-то без разрешения лез в твою переписку, телефон, фотографии, медицинские и банковские данные. И вот здесь начинается российская часть. Одна из причин провалов многих окологосударственных технологических инициатив у нас - отсутствие сепарации. Государственная задача, коммерческий продукт, безопасность, политический PR и интересы конкретных корпораций слишком часто едут в одном вагоне. Так не работает. Если продукт хороший - его выберут. Если для доказательства его превосходства нужны административный ресурс, бесконечно туповатые депутаты, телевизор и правильные рейтинги - проблема, вероятно, не в пользователе. Сегодня посмотрел, что подростки пишут после истории со снятием той самой 2%-ной партии, плюс вся эта история вокруг «Колобка». И возникает простой вопрос: зачем? Почему иногда просто не хватает оперативной памяти ничего не делать? И вот что меня действительно беспокоит. У России до сих пор нет своей полноценной Кремниевой долины. Не технопарка с красивой вывеской. А среды, где встречаются университеты, капитал, инженеры, предприниматели, инвесторы и право много раз ошибиться, прежде чем создать компанию мирового уровня. Да, есть сторонники автономизации и тотального контроля. Но мир уже другой. ИИ, биотех, робототехника, энергетика, вычисления - всё ускоряется одновременно. Здесь невозможно выиграть, просто закрыв дверь. Мне всё ближе другая формула суверенитета: не принадлежать ни Западу, ни Востоку. Принадлежать себе. Брать лучшее отовсюду. Учиться. Делать своё. Потому что настоящий технологический суверенитет - это не запрет выбора. Это способность иметь собственный выбор и выигрывать его у всего мира.

    243905.4K 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

#вциом

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 342K followers, an engagement rate of 0.003%. Measured over 41 original posts, its engagement rate beats 15% of 6,874 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 836 times each, and 1.20% of those impressions turn into an interaction. That is about 0.245% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, with activity on roughly 70% of days. Most posts go out around 10:00 UTC, and Monday is the busiest day of the week. Of the 41 posts sampled, 34% carry an image or video and 15% link out. The account's strongest tracked post pulled 11K interactions, about 1145x its own typical post.

What is Nikita Odintsov's engagement rate on X?
Nikita Odintsov (@NikitaOdintsov) has an engagement rate of 0.003%, based on the median interactions across 41 original posts from the last 30 days against 341,903 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.003%, Nikita Odintsov sits above the 10th percentile of the 66,258 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 @NikitaOdintsov have real engagement?
Its engagement rate beats 15% of the tracked X accounts closest to it in follower count (6,874 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 @NikitaOdintsov post?
Most posts go out around 10:00 UTC, and Monday is its busiest day, at roughly 2.1 posts per day across the measured window.

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