кто в сети ставит 😊😊🎀
custom 53393061862084829953custom 53370933546330720811custom 53462286512874166361custom 53574010938799293911

Channel
@fluvsky
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
786subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002916036571 |
|---|---|
| Type | Channel |
| Username | @fluvsky |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 8 August 2026 |
| On Telegram | t.me/fluvsky |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 09:57 | 786 | -1 |
| 8 Aug 2026, 01:46 | 787 | no change |
| 7 Aug 2026, 18:09 | 787 | first reading |
19 posts held, back to 12 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 19 (12 June 2026 – 7 August 2026) |
| Views total | 4,863 |
| Reactions total | 1,826 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 01:46 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
4,468 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 21.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5339306186208482995 | 969 | 21.7% | |
| custom 5337223638171032601 | 966 | 21.6% | |
| custom 5345835180743495057 | 655 | 14.7% | |
| custom 5339524971842539819 | 475 | 10.6% | |
| custom 5339157941117293392 | 441 | 9.87% | |
| custom 5346228651287416636 | 399 | 8.93% | |
| custom 5337093354633072081 | 279 | 6.24% | |
| custom 5337010255605829190 | 246 | 5.51% | |
| custom 5357401093879929391 | 38 | 0.85% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 19 of the 19 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 4,468reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 12 June 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fluvsky. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 19 most recent posts we hold for this entry, published 12 June 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
кто в сети ставит 😊😊🎀
custom 53393061862084829953custom 53370933546330720811custom 53462286512874166361custom 53574010938799293911
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 🎀 девятихвостая наставница самурая » 💕южᥱᴛ: #bot #cmh Руслан стал одним из тех, кто вдохновлялся книгами и авторами, описывавшими не только русскую жизнь, но и зарубежную. Одной из таких книг стала история о Японии — славной стране, где в это время начали появляться смелые самураи, служившие своему вождю с защитой и верностью. Тушенцов вдохновился этим красивым образом воинов того времени…
custom 533930618620848299557custom 533709335463307208132custom 535740109387992939127custom 53395249718425398195custom 53462286512874166365custom 53372236381710326014custom 53458351807434950574custom 53370102556058291902
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 💕 нежный букет для подруги » 💕южᥱᴛ: #bot #kpss Друзьями детства становятся не все, не каждому повезло с родной душой вначале, но Славе и {{user}} удалось найти общий язык ещё с пелёнок. Их матери дружили очень хорошо — две подруги, которые решили родить вместе и помочь детям найти своего первого друга. Слава и вы росли в одном садике, ещё тогда не подозревая, что жизнь свяжет вас столь с…
custom 5345835180743495057121custom 533722363817103260163custom 533701025560582919062custom 535740109387992939110custom 53395249718425398199custom 53393061862084829958custom 53370933546330720817custom 53391579411172933927
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 💕 съёмный уют на двоих » 💕южᥱᴛ: #bot #mzlff #priyatnogopoleta Жизнь в Питере — это, конечно, хорошо, но иногда очень хочется чего-то нового: найти свой уголок спокойствия и гармонии. Ксюша очень давно мечтала о том, чтобы переехать в Москву, но причин и средств не было. Это было проблемой, которую девушка решила исправить ещё в 17 лет. Она пошла работать в пекарню помощницей. Родители мал…
custom 5337223638171032601116custom 534583518074349505768custom 533952497184253981958custom 533709335463307208113custom 534622865128741663613custom 533915794111729339212custom 53370102556058291909custom 53393061862084829959
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 🍹 больничный на лайнере » 💕южᥱᴛ: #bot #mzlff Аномальная жара лета убивала последние нервные клетки офисного работяги. Илья не был агрессивным человеком, но каждый плюс на термометре раздражал его каждое утро. По дороге на работу Коряков смотрел в телефоне погоду на день, видел обещанный дождь и надеялся, что так и будет, но увы — весь день приходилось бороться с потом. Илья надеялся, что …
custom 5339306186208482995111custom 533722363817103260160custom 533952497184253981960custom 533701025560582919015custom 533709335463307208115custom 534583518074349505715custom 534622865128741663615custom 533915794111729339213
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° «🩸 громкий бас и тихий поцелуй » 💕южᥱᴛ: #bot #drakeoffc Денис Коломиец — стример, которого {{user}} знала скорее по случайным отрывкам в ленте и паре популярных треков, чем по постоянным трансляциям. Да и представить его за рулём заряженного автомобиля на ночных нелегальных гонках было сложно... пока девушка не увидела его вживую. {{user}} приехала на заброшенную парковку за городом исключи…
custom 5339306186208482995104custom 533915794111729339264custom 533952497184253981957custom 533701025560582919010custom 534622865128741663610custom 53370933546330720819custom 53372236381710326019custom 53458351807434950579
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 🍥 ты мой любимый ритм » wlw 💕южᥱᴛ: #bot #b3brina Любовь к танцам приходит со временем: тело само двигается под бит, но простые движения выходят нелепыми, поэтому появлялись студии и хореографии, которые раскрывали атмосферу трека с новой силой. Вы были преданы своему делу, будучи с самого раннего возраста в первых рядах на детских утренниках, а затем и на публике в смешном костюме клубник…
custom 5345835180743495057103custom 533915794111729339272custom 533722363817103260149custom 53370933546330720819custom 53370102556058291907custom 53393061862084829956custom 53395249718425398196custom 53462286512874166366
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 🌟 бывшие за одним столом » 💕южᥱᴛ: #bot #dkincc Возвращение в родной город на каникулы должно было стать для {{user}} глотком свежего воздуха. Учёба в другом городе выжала из неё все соки, и предложение старых друзей по рофлу сходить на местный квиз казалось идеальным планом на вечер. Просто размять мозги, посмеяться и забыть о дедлайнах. Но у вселенной, кажется, было паршивое чувство юмор…
custom 5339524971842539819106custom 533930618620848299563custom 533722363817103260159custom 53462286512874166369custom 53370102556058291907custom 53370933546330720816custom 53458351807434950576
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 🌟 букет смятых роз » 💕южᥱᴛ: #bot #cmh 🪦коллаб с милой крипухой! 🤩 В школьных коридорах {{user}} всегда считалась воплощением спокойствия. Руслан же был стихией, которую невозможно было угомонить. Он был королем хаоса: вечные драки, сомнительные компании, запах дешевого алкоголя и бесконечные ночевки в чужих квартирах. Казалось, между ними была пропасть, но именно эта пропасть и притянула …
custom 5339157941117293392106custom 534622865128741663665custom 533722363817103260141custom 53370102556058291908custom 53458351807434950578custom 53395249718425398197custom 53370933546330720816custom 53393061862084829956
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 💋 цена предательства » mlm 💕южᥱᴛ: #bot #dkincc #liltheneel В закрытой VIP-комнате на верхнем этаже стримерского офиса стоит такая оглушительная тишина, что вы отчетливо слышите прерывистый стук собственного сердца. На огромных мониторах вокруг горит тусклая неоновая подсветка, но вам не до игр. Вы — популярный, обычно невероятно шумный стример, который на трансляциях привык без умолку ор…
custom 5339306186208482995108custom 533722363817103260164custom 534622865128741663655custom 533701025560582919013custom 533915794111729339213custom 533709335463307208112custom 534583518074349505712custom 53395249718425398197
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 👖 внутри душной гримерки » 💕южᥱᴛ: #bot #mzlff Ты стоишь посреди душной и прокуренной гримерки за кулисами огромного концертного клуба, где прямо сейчас должен начаться сольный концерт Мазелова. Через закрытую железную дверь доносится оглушительный гул — тысячи фанатов в зале скандируют его имя и ждут начала шоу. Атмосфера за кулисами обычно веселая, но сейчас в комнате находится всего тр…
custom 533709335463307208191custom 533722363817103260143custom 534583518074349505743custom 53462286512874166369custom 53391579411172933928custom 53395249718425398197custom 53370102556058291903
໒𝆺𝅥😊😊 𝆭 ﹑ ᥒ3ᥕ b𐔖t ೀ 🌟 ┄ ° « 👠👠 незванный ангел » ৎㅤ𓏴ㅤ۪ㅤкᦅллаδ ᥴ იᦅтряᥴныⲙ хɣдᦅжнυкᦅⲙ чυзᧉк лëл𝖎к ⠀⠀݂ 𝄄︵ 💕южᥱᴛ: #bot #cmh Ласковые белые крылья за спиной дают лёгкость в груди — ту, которой когда-то так не хватало в подростковом возрасте. {{user}} — молодая и перспективная девушка, которая совсем скоро будет отмечать своё 25-летие с друзьями. На улице ужасно холодно, дождь заливал дорогу, превращая город в тоскливу…
custom 533722363817103260183custom 533930618620848299552custom 533915794111729339243custom 53370102556058291906custom 53462286512874166366custom 53370933546330720815custom 53395249718425398195custom 53458351807434950575
Showing the 12 most recent of 19 posts we hold for @fluvsky. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 242,258 of 1,183,361entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 August 2026 — this entry's latest reading, not the date you are reading this.
“𝑭𝑳𝑼𝑽``sִƙִׄỿׄ (c.ai)” (@fluvsky), 786 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/fluvsky.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.