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Telegram profile photo for Светлана Стрижакова @svetlanastriz

Channel

Светлана Стрижакова @svetlanastriz

@svetlanastriz

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

27,139subscribers

+1,753 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001144755079
TypeChannel
Username@svetlanastriz
DescriptionНейросети глазами крутого фотографа Личные сообщения @svetlanastri
CreatedBetween 1 May 2016 and 31 December 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live28 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 28 September 2026
On Telegramt.me/svetlanastriz

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 91% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

25,37827,13926,258.57 August 2026 — 25,386 subscribers7 August 2026 — 25,386 subscribers7 August 2026 — 25,378 subscribers9 August 2026 — 25,417 subscribers10 August 2026 — 25,444 subscribers11 August 2026 — 25,465 subscribers12 August 2026 — 25,493 subscribers13 August 2026 — 25,515 subscribers14 August 2026 — 25,549 subscribers16 August 2026 — 25,575 subscribers17 August 2026 — 25,620 subscribers18 August 2026 — 25,645 subscribers19 August 2026 — 25,686 subscribers20 August 2026 — 25,710 subscribers21 August 2026 — 25,723 subscribers23 August 2026 — 25,733 subscribers24 August 2026 — 25,819 subscribers25 August 2026 — 25,951 subscribers26 August 2026 — 26,036 subscribers27 August 2026 — 26,087 subscribers28 August 2026 — 26,138 subscribers29 August 2026 — 26,203 subscribers30 August 2026 — 26,257 subscribers1 September 2026 — 26,315 subscribers2 September 2026 — 26,367 subscribers3 September 2026 — 26,398 subscribers4 September 2026 — 26,440 subscribers7 September 2026 — 26,578 subscribers10 September 2026 — 26,716 subscribers12 September 2026 — 26,785 subscribers14 September 2026 — 26,808 subscribers15 September 2026 — 26,816 subscribers18 September 2026 — 26,863 subscribers28 September 2026 — 27,139 subscribers7 August 202628 September 2026
34 measurements spanning 52 days, net +1,753. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 25,114–27,403 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
28 Sept 2026, 21:2127,139+276
18 Sept 2026, 00:5826,863+47
15 Sept 2026, 19:3926,816+8
14 Sept 2026, 06:2126,808+23
12 Sept 2026, 15:1526,785+69
10 Sept 2026, 12:2026,716+138
7 Sept 2026, 11:1726,578+138
4 Sept 2026, 12:1926,440+42
3 Sept 2026, 01:2626,398+31
2 Sept 2026, 00:4426,367+52
1 Sept 2026, 00:2626,315+58
30 Aug 2026, 23:0226,257+54
29 Aug 2026, 23:1726,203+65
28 Aug 2026, 20:0426,138+51
27 Aug 2026, 22:3726,087+51
26 Aug 2026, 23:5726,036+85
25 Aug 2026, 21:3725,951+132
24 Aug 2026, 20:1525,819+86
23 Aug 2026, 04:1525,733+10
21 Aug 2026, 15:5625,723first reading

Engagement

104 posts held, back to 6 August 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 68 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.18%
avg views ÷ 27,139 subscribers
Avg views / post
1,680
36 posts measured
Reaction rate
5.65%
reactions ÷ views · ER floor
Posts in window
36
of 104 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 September 2026
Posts held104 (6 August 2026 – 29 September 2026)
Views total60,363
Reactions total3,412
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 01:49 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.

What this channel posts

Photos
≈1,500
Videos
≈2,350
Links
≈385

Lifetime counters from Telegram’s own channel header, read 30 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
28m 24s
Average length
18s

Measured directly from 95 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

9,300 reactions across 103 posts, in 9 distinct kinds. The most used accounts for 41.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,87941.7%
🔥2,91431.3%
🦄1,99821.5%
😁2382.56%
🥰1771.90%
🎉400.43%
😱340.366%
🤯160.172%
🎃40.043%

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 103 of the 104 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 9,300 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 104 most recent posts we hold, published 6 August 2026 to 29 September 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.

Recent posts

29 Sept 2026, 17:14 UTC949 views33 reactionsread 30 September 2026
Photo

нда, меньше, чем за сутки (с 9 утра ролик висит) - 1.7 млн просмотров вообще я завтра просуммирую просмотры рилсов на бьюти тему, и другие параметры статистики - там хорошие цифры👌🏻 точно не хотите на интенсив по seedance? так вирусится именно его динамика и рисовка

🦄19🔥8❤6

29 Sept 2026, 13:16 UTC≈1,270 views51 reactionsread 30 September 2026
Video

Ну что, будем придумывать продолжение? как думаете, каким будет их первое свидание? первые ролики зашли на 130к, между прочим😁🥰

🔥33❤16🥰2

29 Sept 2026, 06:59 UTC≈1,530 views199 reactionsread 30 September 2026
Video

Завела новый профиль в тиктоке www.tiktok.com/@svetlana.strizhak4 для мультиков про Марго и Дена, уже есть несколько неплохих залетов на 200к и 30-50к просмотров, посмотрим, как пойдет дальше Нужна инструкция, кстати, про постинг в тикток из РФ? Поставьте 🦄 на пост, если да

🦄171🔥16❤8🥰4

28 Sept 2026, 16:39 UTC≈1,890 views53 reactionsread 30 September 2026
Photo

ой ничего себе, клинг 4 вышел ну что ж, будем значит обновлять и дополнять курс по ии реализму и каруселям👌🏻 ну вообще давно уже напрашивалось обновление, клинг 3 сильно уступал seedance 2.5

❤36🔥8🎉5🤯4

28 Sept 2026, 10:47 UTC≈1,950 views24 reactionsread 30 September 2026
Video

🔥 Интенсив по ии каруселям ✏️старт 5.10, предзапись до вечера 1.10 ➡️продолжительность 14 дней На этом интенсиве вы сможете создавать качественный визуальный контент для соцсетей и маркетплейсов, используя систему моих промпт-помощников и нейросетей. Всё, что раньше занимало часы в редакторах, теперь делается в несколько раз быстрее. ✔️ Карусели с инфографикой и готовой композицией с графикой и текстом, которые выг…

❤19🦄5

28 Sept 2026, 08:34 UTC≈1,760 views70 reactionsread 30 September 2026
Video

Цветовые сочетания важны и в фотографии, и в ИИ-генерации. Они помогают собрать кадр в цельную картинку и выделить главное. Для съёмки палитру нужно продумать заранее: подобрать под выбранную схему локацию, одежду, реквизит и детали фона. В генерации проще: цвета и их роли можно задать в промпте или показать на референсах. В карусели собрала четыре цветовые схемы и формулу промпта для своих кадров. а собирать таки…

❤43🔥16🦄11

28 Sept 2026, 06:42 UTC≈1,570 views61 reactionsread 29 September 2026
Video

Всех с понедельником! Кофе и золотая осень - не такое уж и плохое сочетание, как считаете? (продолжение кофейной серии на 7 млн просмотров суммарно😁)

🥰27🔥24❤9🤯1

27 Sept 2026, 11:41 UTC≈1,820 views60 reactionsread 29 September 2026
Video

«А мы будем разбирать диалоги на русском на интенсиве по seedance?» Меня постоянно об этом спрашивают. Да, конечно. И с артикуляцией, которая совпадает с речью 😊 В Seedance этого можно добиться разными способами. А сегодня я собрала особенно удачную связку: ИИ-агент в GPT или Claude + генератор речи + seedance2.5, без утомительного ручного монтажа и ковыряния в референсах руками Как собрать такой ролик шаг за шаг…

❤31🔥21🦄8

27 Sept 2026, 06:53 UTC≈1,900 views174 reactionsread 29 September 2026
Video

Еще один мульт про бьюти лайфхаки Марго Подборка полезных материалов про мульты и seedance тут а я готовлю материал о том, как сэкономить на seedance2.5/2 - ставьте 🦄 на пост, если информация интересна

🦄131🔥31❤10🥰2

26 Sept 2026, 09:27 UTC≈1,900 views86 reactionsread 28 September 2026
Video

Смотрите, какую красивую карусель придумала👌🏻 тоже разберем ее на интенсиве по каруселям подборка бесплатных материалов красивым вирусным каруселям варианты размещения видео в карусели Структура вирусной карусели Виды нейроконтента для экспертного блога Идея контента для экспертного блога Посты с классными бесшовными каруселями раз два три Себестоимость генерации карусели с анимацией

🔥54❤23🦄8🎉1

26 Sept 2026, 06:29 UTC≈1,860 views231 reactionsread 28 September 2026
Video

Всем доброе утро! Ну что, будем продолжать бесплатный осенний промт-марафон? с вас 🦄 на пост, если да

🦄204❤24😁3

25 Sept 2026, 14:37 UTC≈1,970 views65 reactionsread 28 September 2026
Photo

Сегодня выступала на конференции по ии, говорили про мульты за полчаса- миф это или реальность в карусели - сравнение мультиков в клинг и сиданс, и сравнение покадровой анимации и безраскадровочного способа. Сравниванм деньги, время, и прочие параметры😁 выяснили, что seedance2.0 mini 720 px максимально приятная по цене нейросеть, подходящая для мультов интенсив по seedance 20.10, предзапись уже идет, если интересн…

❤38🔥23🎉4

Showing the 12 most recent of 104 posts we hold for @svetlanastriz. 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.

Posts edited after publishing

@svetlanastriz edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
21 August 2026
Most recent edit
29 September 2026

Forward network

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.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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@katya_kaplar · 5,754
#81
ФОТОШКОЛА | Уроки по съемке и обработке
@photoschool_ph · 2,469
#82
Александр Макушин. Фотография
@makushinphoto · 6,773
#83
Ольга Папина. Фотография, Кино, Картины
@olgatvorchestvopapina · 3,308
#84
Олеся Ракитова. О личном, бизнесе и психологии.
@olesyarakitovakanal · 1,180
#85

Read from Telegram’s recommendation API, most recently 12 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Виктория Трегубова | Фотошоп • Лайтрум • Capture one
@tregubova_photoshop · 26,473
Telegram ranks this channel #42 of 83 here — alongside 82 others — read 12 September 2026
МАКС ДОБРЫЙ ПЕЧАТАЕТ...
@maksimdobryy · 30,035
Telegram ranks this channel #53 of 85 here — alongside 84 others — read 20 September 2026
Karneeva_elena
@karneevaElena · 45,810
Telegram ranks this channel #55 of 75 here — alongside 74 others — read 27 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

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 28 September 2026 — this entry's latest reading, not the date you are reading this.

“Светлана Стрижакова @svetlanastriz” (@svetlanastriz), 27,139 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/svetlanastriz.

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.