Technology — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 60% 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
12 measurements spanning 44 days, net +39. 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 1,189–1,240 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 13:20
1,234
+3
11 Sept 2026, 11:59
1,231
+2
6 Sept 2026, 16:57
1,229
-2
2 Sept 2026, 03:02
1,231
+3
29 Aug 2026, 21:47
1,228
+3
23 Aug 2026, 16:17
1,225
-1
19 Aug 2026, 23:43
1,226
+1
17 Aug 2026, 09:25
1,225
+12
13 Aug 2026, 13:07
1,213
+17
10 Aug 2026, 23:11
1,196
+1
6 Aug 2026, 22:30
1,195
no change
6 Aug 2026, 22:18
1,195
first reading
Engagement
20 posts held, back to 20 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
43 reactions across 9 posts, in 5 distinct kinds. The most used accounts for 39.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5397658277611864125
17
39.5%
custom 5397667163899197943
7
16.3%
custom 5397768589551891891
7
16.3%
custom 5413379421283321441
7
16.3%
custom 5398039060822391004
5
11.6%
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 are Telegram’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 9 of the 20 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 43 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 20 July 2026 to 5 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.
“Один питч на Investor Games”
Серия 2. Нужна ли длинная презентация для питча?
Очень часто стартапам хочется показать и рассказать все преимущества на питчах, кто-то сильно углубляется в продукт, кто-то делает длинные презентации, а что на самом деле важно увидеть инвестору?
На Investor Games стартапы питчат за 1 минуту и оставляют только самое важно на слайде. А как подготовить one-pager и питч к нему, мы рассказ…
Обновление китайской модели
Гонка AI выходит на новый этап.
Китайская Moonshot AI представила Kimi K3 — открытую языковую модель с 2,8 трлн параметров. Но интересна она не только своими масштабами.
Чем выделяется Kimi K3?
⚡️ Открытые веса — компании и разработчики могут развернуть модель на собственной инфраструктуре и адаптировать её под свои задачи.
🧠 Контекстное окно — до 1 млн токенов, что позволяет анализир…
“Один питч на Investor Games”
Серия 1. Всё начинается с заявки
Каждый стартап мечтает однажды выйти на сцену и представить свой проект инвесторам.
Но до этого момента нужно пройти путь, который зрители обычно не видят.
Именно с него мы и начинаем нашу новую мультсерию. 😍
В первой серии наша основательница делает самый важный шаг — подает заявку на Investor Games.
Что происходит дальше?
1️⃣ С ней связывается ск…
Последний месяц лета начался, а мы собрали для вас самые актуальные события, которые нельзя пропустить ⚡️
✴️Игры инвесторов | Investor Games в рамках Московского венчурного форума "Венчурный ландшафт"
стартап-баттл от ангельского клуба Investor Games
Когда: 13 августа
Где: Москва
Регистрация
✴️Инфраструктура и сервисы для вывода технологий на рынок: нефинансовые инструменты поддержки
мероприятие серии R&Dиалоги, н…
🩷 Собрали публикации, которые вы могли пропустить за этот месяц:
🔴Закон, который создал венчур → ссылка
🔴Open source догоняет AI-гигантов → ссылка
🔴Женщины-основательницы получают меньше инвестиций → ссылка
🔴Статистика активных стартапов и инвесторов → ссылка
Каждый день инвесторы видят десятки необычных стартапов. Но сможете ли вычислить тот, который мы только что придумали? 😏
Проекты:
1️⃣ Neuticles — протезы для питомцев после кастрации. Продано более 500 000 пар.
2️⃣ Loyal — разрабатывает препарат для продления жизни собак. Уже привлёк $91 млн.
3️⃣ Bee Vectoring Technologies — использует шмелей для доставки биопестицидов на растения. Компания даже торгуется на бирж…
Главные события августа, к которым еще можно успеть подготовиться 🦄
✴️Игры инвесторов | Investor Games в рамках Московского венчурного форума "Венчурный ландшафт"
стартап-баттл от ангельского клуба Investor Games
Когда: 13 августа
Где: Москва
Регистрация
✴️20-й сезон акселератора от Школы стартапов Сколково
90-часовая программа, включающая живые воркшопы и мастер-классы, а также еженедельная работа над проектом с к…
Венчурные инвесторы боятся списывать свои инвестиции 👀
Правда45%
Миф55%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Showing the 12 most recent of 20 posts we hold for @investor_games. 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.
Polls
The 6 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Считаете ли вы, что гендер основателя влияет на решение об инвестициях?
✖️ Нет, оцениваем только проект18%
〰️ Иногда косвенно влияет20%
✔️ Да, влияет41%
👀 Хочу посмотреть ответы20%
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 20 July 2026 to 5 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 2 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.
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.
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.
De-Side Crypto @DeSideCrypto · 41,265 Telegram ranks this channel #56 of 71 here — alongside 70 others — read 29 August 2026
СберСтартап @sberstartup · 41,488 Telegram ranks this channel #59 of 100 here — alongside 99 others — read 29 August 2026
Витрина стартапов @showstartup · 27,089 Telegram ranks this channel #82 of 90 here — alongside 89 others — read 11 September 2026
Сколково @skolkovolive · 41,975 Telegram ranks this channel #89 of 98 here — alongside 97 others — read 29 August 2026
This channel appears in 4 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Игры инвесторов / Investor games” (@investor_games), 1,234 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/investor_games.
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.
