Channel
@CaseClubLG
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
113subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003872112044 |
|---|---|
| Type | Channel |
| Username | @CaseClubLG |
| Created | 11 February 2026 — measured — dated from the channel’s first post |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/CaseClubLG |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 06:31 | 113 | no change |
| 8 Aug 2026, 01:33 | 113 | first reading |
15 posts held, back to 11 February 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 | 15 (11 February 2026 – 7 August 2026) |
| Views total | 1,714 |
| Reactions total | 24 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 06:31 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.
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
106 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 47.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 50 | 47.2% | |
| ❤ | 24 | 22.6% | |
| 👍 | 17 | 16.0% | |
| 💩 | 5 | 4.72% | |
| 🖕 | 5 | 4.72% | |
| 🤝 | 2 | 1.89% | |
| 🥰 | 2 | 1.89% | |
| 🗿 | 1 | 0.943% |
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 10 of the 15 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 106reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 11 February 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.
Вчера мы разобрали 23 решения команд на кейс-чемпионате Альфа-Будущее. Спасибо всем, кто подключился — было честно, плотно и без воды. Разобрали общие ошибки, дали персональную обратную связь по конкретным решениям, показали, как можно было усилить идею и что реально влияет на решение жюри. Если не успели или хотите пересмотреть — вот презентация и видео с разбора: 🍒 Презентация 🦩 Видео Сохраняйте, пересматривайте…
👍5❤2🔥2
💔 Мы не ожидали такого отклика. На разбор решений кейс-чемпионата Альфа-Будущее подали заявку 20+ команд — это почти вдвое больше, чем мы разбирали в прошлый раз. И мы решили разобрать решения всех команд, которые подали заявки! За одну ночь мы успели не просто пролистать все решения, а вникнуть в каждое: разобрать логику, упаковку, аргументацию, точки роста. ⚡️ Разберём всё: и общие ошибки, и персональную обратну…
🔥5❤3🥰1
🙍♀️ Разбор решений отборочного этапа кейс-чемпионата Альфа-Будущее от опытных хакатонщиков: почему ты не в финале? На этом стриме разберем, почему одни решения проходят в финал, а другие — нет. Даже если вам кажется, что вы сделали всё идеально, часто оказывается, что члены жюри смотрели совсем на другое. О чем поговорим: 🩷 Типичные ошибки, которые режут глаза экспертам. Их гораздо больше, чем просто «не успели до…
❤2👍2🔥2
Channel photo updated
Channel name was changed to «Кейс Клуб Лиги Созидателей»
🙎♂️ Разбор полётов: как мы индивидуально прожарили 10 решений и что вынесли из этого Друзья, после кейс-чемпионата Changellenge Cup IT 2026 мы сделали то, что любят немногие, — разобрали 10 командных решений в формате «честная обратная связь без розовых очков». Презентация с разбора ✨ Запись разбора Что внутри: 💙 Разбор 10 решений по кейсам ОТП и P&G — с комментариями, почему команды не прошли в финал 💙 Типичные …
🔥5❤2🤝2
🙍♀️ Разбор решений отборочного этапа Changellenge Cup IT 2026 от опытных хакатовщиков: почему ты не в финале? На этом стриме разберем, почему одни решения проходят в финал, а другие — нет. Даже если вам кажется, что вы сделали всё идеально, часто оказывается, что члены жюри смотрели совсем на другое. О чем поговорим: 💙 Типичные ошибки, которые режут глаза экспертам. Их гораздо больше, чем просто «не успели доделат…
👍5❤3🔥3
Первый раз, и уже хайпово ✨ На прошлой неделе прошла первая встреча Кейс-клуба, наш спикер — Нестор Архангельский, многократный победитель международных хакатонов по разработке AI-продуктов поделился крутыми инсайдами: своим опытом и практическими советами по победе на кейс-чемпионатах и хакатонах🤗 Участники получили: — пошаговый разбор процесса создания продукта на хакатоне — анализ типичных ошибок и ловушек, кото…
❤7🔥7👍3
А у нас напоминание: первая встреча Кейс-клуба уже совсем скоро. Ждём вас сегодня в аудитории В708 в 19:00. Гость — Нестор Архангельский, победитель VK NFT HACK и 20+ хакатонов. Регистрация тут
Video message, posted without a caption
🔥6🗿1
А у нас кружок-разогрев от Нестора 😎
А у нас анонс: первая встреча Кейс Клуба! 🤭 У нас в гостях сильнейший хакатонщик и кейсер, побеждавший на всероссийских и международных соревнованиях, — Нестор Архангельский! 😎 Несравненно крутой и гениальный: - Победил в 20 хакатонах - Продуктовый разработчик с опытом более 7 лет - Участвовал в постановке рекорад Гинесса на самый масштабный хакатон - Руководил командой разработки в Wildberries - Внедрял LLM- больши…
🔥7👍1🥰1
Showing the 12 most recent of 15 posts we hold for @CaseClubLG. 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 — 704,258 of 1,189,255entries 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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Кейс Клуб Лиги Созидателей” (@CaseClubLG), 113 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/CaseClubLG.
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.