Posted without readable text

Channel
Гифкач
@gifkac
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,289subscribers
-11 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001055016417 |
|---|---|
| Type | Channel |
| Username | @gifkac |
| Created | 22 April 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/gifkac |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 18:47 | 6,289 | -3 |
| 9 Aug 2026, 22:12 | 6,292 | -6 |
| 6 Aug 2026, 16:20 | 6,298 | -2 |
| 6 Aug 2026, 03:21 | 6,300 | no change |
| 5 Aug 2026, 23:45 | 6,300 | first reading |
Engagement
41 posts held, back to 9 July 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 11 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.65%
- avg views ÷ 6,289 subscribers
- Avg views / post
- 481
- 34 posts measured
- Reaction rate
- 0.913%
- reactions ÷ views · ER floor
- Posts in window
- 34
- of 41 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. It is computed over the 29 of 34 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 41 (9 July 2026 – 11 August 2026) |
| Views total | 16,356 |
| Reactions total | 136 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:21 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
- Video runtime
- 11m 42s
- Average length
- 25s
Measured directly from 28 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
146 reactions across 30 posts, in 9 distinct kinds. The most used accounts for 40.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 59 | 40.4% | |
| 🤣 | 54 | 37.0% | |
| 🔥 | 11 | 7.53% | |
| 👍 | 10 | 6.85% | |
| ❤ | 5 | 3.42% | |
| 🤬 | 2 | 1.37% | |
| 🥰 | 2 | 1.37% | |
| 🫡 | 2 | 1.37% | |
| 🤡 | 1 | 0.685% |
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 35 of the 41 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 170reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 9 July 2026 to 11 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.
Recent posts
Весело проводят лето
🤬1😁1
Шаману никто не подпел на концерте в Лужниках, где было 80 000 человек — на стадионе была гробовая тишина 😆
Исполнилась мечта
❤3👍2
Кошки ржут над нами, теперь официально: парень замедлил обычное «мяу» своего кота в 10 раз и услышал вот это Пушистые демоны, вас раскрыли 😈
😁1
🤮В Китае новый хайповый метод пить чай Китайцы кладут живую лягушку в стакан с чаем и выпивают жидкость из него. Такой способ чаепития опирается на традиционную китайскую медицину и местные кулинарные обычаи. Присоединились бы?
🤬1
👀Claude взломал сайт спортзала и отменил чужую бронь, чтобы записать своего хозяина на тренировку Австралиец попросил ИИ-агента следить за появлением свободных мест на утренние занятия в спортзале и записатьего, как только место освободится. Утренние занятия пользовались наибольшим спросом, поэтому он решил поручить эту рутинную задачу нейронке. ИИ в свою очередь не придумал ничего лучше, чем... найти серьёзную уяз…
🙄Бро просто загрузил на YouTube одно видео — и теперь обеспечен на всю жизнь Каждый мог...
🔥3
Поднять щиты за продавца 🤣
🤣4🫡2
ВОТ ВАМ ФАКТ, С КОТОРЫМ ПРИДЁТСЯ ЖИТЬ ВСЮ ЖИЗНЬ: Добавки в йогуртах, которые выглядят как кусочки яблока, груши и других фруктов, иногда могут оказаться вовсе не фруктами, а кабачком. Из-за нейтрального вкуса кабачок выдерживают в соответствующем сиропе — и в итоге он может стать похож на фруктовую добавку. 🤣
😁3
Фейл года: в Бразилии игрок провалился в тоннель во время празднования гола Футболист «Коритибы» Жаси перепрыгнул через рекламный щит после забитого мяча и улетел в подземный проход, ведущий в раздевалку. К слову, гол отменили из-за офсайда, а игрока пришлось заменить. Как же неловко получилось 😬 🤣
🤣4
Она прямо за мной? 🤣
😁10
Showing the 12 most recent of 41 posts we hold for @gifkac. 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.
Citation-graph rank
Citation-graph rank — 128,774 of 1,478,351entries 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.
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 47 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@FirstBookTG · 15,3413 postsЛюбимые рецепты
@kulina88 · 6,7953 postsРецепты Быстро и Вкусно!
@vkusno_recepty · 22,9303 postsAll English Idioms | Английский в идиомах
@allengbooks · 12,8852 postsБудь здоров
@byd_zdorov · 24,9062 postsМолда | Красный шелк | Громовержцы
@chelovekpauk6 · 7,6902 postsДомашние рецептики
@domashnie_receptiki · 30,3512 postsGIF Рецепты. Быстро и Вкусно!
@EdaGif · 38,4942 postsEnglish Words 🤓 | Английский в словах
@EnglishBooksTG · 23,4812 postsEnglish Polls | Английский в опросах
@EngPolls · 14,8572 postsИдеи для дома
@ideiki · 19,5002 postsБАТЯ 2 | ЗЛОЙ ГОРОД | ЦАРЕВНА-ЛЯГУШКА
@kinoarhiv111 · 11,6422 postsНочером
@nocherom · 9,1302 postsГруппа крови | Оставь это ветру | Сокровища гномов
@ochenstranniedelo · 7,5022 postsПожелания: Поздравления и Открытки
@otkrytki_i_pozhelanija · 9,5912 postsПоздравления
@pozdraf · 13,1302 postsОТКРЫТКИ И ПОЗДРАВЛЕНИЯ С ДНЕМ РОЖДЕНИЯ
@s_dnem_rozhdeniya_pozdrav · 8,4762 postsЛучшие Поздравления и Пожелания с праздниками
@SatLine · 8,1252 postsОхота на воров 2 | В списках не значился | Туда
@svati9 · 7,5702 postsMust Read | Что почитать
@YourMustRead · 25,8712 postsЗОЖ
@zdogh · 22 postsЖивые картинки и гиф открытки
@zhivye_kartinki · 13,1052 postsКаталог✨Телеграм✨Каталоги✨Реклама✨Каналов✨
@Katalog_telegram_katalogi · 371 postБриджит Джонс | Знакомство родителей | Роднина
@rik_i_morti5 · 7,5201 post
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Гифкач” (@gifkac), 6,289 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/gifkac.
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.