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Telegram profile photo for Хороший pont.

Channel

Хороший pont.

@pont_channel

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

598subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001865707471
TypeChannel
Username@pont_channel
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 15 August 2026
On Telegramt.me/pont_channel

Growth

598599598.57 Aug 2026, 14:30 — 599 subscribers8 Aug 2026, 03:15 — 599 subscribers8 Aug 2026, 14:27 — 598 subscribers7 Aug 2026, 14:308 Aug 2026, 14:27
3 measurements taken within a single day, net -1. 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 598–599 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 14:27598-1
8 Aug 2026, 03:15599no change
7 Aug 2026, 14:30599first reading

Engagement

19 posts held, back to 25 February 2026the 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 · 30 days
17.6%
avg views ÷ 598 subscribers
Avg views / post
105
1 post measured
Reaction rate
16.2%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 23 July 2026
Posts held19 (25 February 202623 July 2026)
Views total105
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:15 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
2m 42s
Average length
12s

Measured directly from 13 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

255 reactions across 18 posts, in 19 distinct kinds. The most used accounts for 37.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9537.3%
custom 54138703618150442173814.9%
🔥228.63%
❤‍🔥187.06%
👍187.06%
114.31%
🥰93.53%
💅62.35%
🍌51.96%
🍓51.96%
😍51.96%
😎51.96%
😭51.96%
🏆31.18%
👏31.18%
🤣31.18%
👀20.784%
🕊10.392%
😐10.392%

Custom emoji. One 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 count beside it isTelegram’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 18 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 255reactions 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 25 February 2026 to 23 July 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

23 Jul 2026, 17:44 UTC105 views17 reactionsread 8 August 2026
Video

Happy boday-du, Gleb-o!! Hana dul sae — hooray-o! 🎉 Перевод с миньонского: С ДНЁМ РОЖДЕНИЯ ГЛЕЕЕЕБ УРААА

🥰6🍌5🍓51

9 Jul 2026, 21:14 UTC200 views20 reactionsread 8 August 2026
Video

Сделали быстрый ситуативный ролик для worm.wtf, prediction market продукта Идея: матч Марокко - Франция на FIFA 2026. Мбаппе опаздывает, заезжает прямо на поле на той самой машине из Taxi, выходит, включается в атаку и забивает Сам встроили в интерфейс трансляции, как будто это спонсор матча. Получается, бренд не мешает шутке, а становится частью события Ролик собрали через AI production, но с контролем сцены в 3D

8custom 54138703618150442176🏆3👀2😐1

30 Jun 2026, 13:41 UTC175 views13 reactionsread 8 August 2026
Video

Недавно закончили explainer для EasyOnRamp 📈 Наша задача была рассказать о продукте так, чтобы зрителю не пришлось разбираться в сложных терминах и механиках и было суперлегко начать пользоваться сервисом. Для этого мы собрали видео из нескольких форматов: моушн-дизайн, UI-анимация и сгенерированные футажи с людьми. Такой микс помог сделать ролик не только информативным, но и более живым - показать не просто интерф

6👍4💅3

25 Jun 2026, 06:42 UTC204 views14 reactionsread 8 August 2026
Video

Figma добавили Motion Я давно ждал этого обновления. Для интерфейсной анимации это прям логичное продолжение: если дизайн уже живёт в Figma, странно, что движение нужно собирать где-то отдельно Но мне интересен не только product motion для сайтов и приложений Хочется посмотреть на это как на инструмент для простого 2D motion Понятно, что это не полноценный production-софт. Но часть задач, которые раньше уходили в

7🔥3custom 54138703618150442173👍1

4 Jun 2026, 10:21 UTC198 views9 reactionsread 8 August 2026
Video

Сегодня в российских прокат вышел Backrooms. Забавно, что Backrooms начались с одной картинки на форуме, а в итоге выросли в целую вселенную с фанатскими играми, веб-сериалами и теперь уже фильмом. Сделали небольшой ролик по мотивам крипипасты.

❤‍🔥63

1 Jun 2026, 10:26 UTC194 views17 reactionsread 8 August 2026
Video

😎 Оформили кейс для Mymeet.ai — SaaS-платформы, которая помогает делать встречи продуктивнее с помощью AI. В этом проекте мы объединили 2D и 3D motion design, UI-анимацию и продуктовый сторителлинг, чтобы показать сложный функционал сервиса простым языком. Наша задача была превратить набор возможностей продукта в цельную визуальную историю, которая одинаково хорошо работает для презентаций, социальных сетей и запуск

5😍5custom 54138703618150442175🔥2

19 May 2026, 15:15 UTC194 views12 reactionsread 8 August 2026
Video

Оживили главные книги на журнальных столиках мира!📚 Наш новый 3D-ролик для Assouline - парижского люксового издательства.

❤‍🔥7😎5

15 May 2026, 08:48 UTC222 views12 reactionsread 8 August 2026
Forwarded from @mymeetaiVideo

Салют! Это 📻 mymeet.аi Mymeet.ai — рабочий инструмент для встреч. Подключается к звонку, делает запись и берет на себя рутину: протокол, задачи, договоренности, передачу контекста встречи дальше. Что умеем делать? Запись и загрузка. Подключаемся к звонку в ВКС 🏀🏈🚘😉 или работаем с записями. Встречи хранятся в личном кабинете. Календарь. Синхронизируем 🪡 Google, 😄 Yandex или 🤲 Microsoft Calendar и приходим на встре

5🔥4🥰3

14 May 2026, 10:05 UTC188 views13 reactionsread 8 August 2026
Video

Наш лого спидранит рандомные сайд-квесты 😎

8custom 54138703618150442174👍1

9 May 2026, 13:44 UTC242 views12 reactionsread 8 August 2026
Photo

Photo, posted without a caption

😭53🤣3🕊1

6 May 2026, 13:46 UTC287 views14 reactionsread 8 August 2026
Photo

Насмотренность - это не навык, а пассивный опыт Часто насмотренность пытаются представить как отдельный скилл, который нужно «прокачивать» часами на Behance или Pinterest. На деле всё проще: это ваш визуальный фундамент - сумма всего, что вы видели в кино, фотографии или архитектуре. Несколько выводов о том, как это работает в реальном дизайне: Ловушка профильных ресурсов. Если дизайнер ориентируется только на кей

14

29 Apr 2026, 15:05 UTC256 views4 reactionsread 8 August 2026
Photo

Картинку делает не детализация. Картинку делает свет. Добавить геометрию - самый простой путь. Сделать интересной одну форму через свет - уже уровень. Минимализм работает только если есть контроль: - контраст света и тени - продуманная работа со спотами - блокеры, создающие тонкие тени Мы часто используем несколько спотов, чтобы симулировать эффекты вроде потока воздуха - без моделинга. Это даёт сложность без пер

4

Showing the 12 most recent of 19 posts we hold for @pont_channel. 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 — 202,166 of 1,481,217entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“Хороший pont.” (@pont_channel), 598 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/pont_channel.

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.