Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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 the other topics.
Growth
23 measurements spanning 90 days, net +42. 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 5,642–5,755 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
4 Nov 2026, 21:04
5,720
-1
1 Nov 2026, 15:16
5,721
-2
29 Oct 2026, 19:20
5,723
-6
27 Oct 2026, 00:05
5,729
+1
23 Oct 2026, 23:16
5,728
-14
20 Oct 2026, 21:29
5,742
+5
18 Oct 2026, 01:21
5,737
+6
11 Oct 2026, 14:37
5,731
+9
5 Oct 2026, 12:58
5,722
+30
27 Sept 2026, 23:56
5,692
+33
18 Sept 2026, 18:22
5,659
+4
14 Sept 2026, 11:37
5,655
-4
10 Sept 2026, 17:58
5,659
+3
5 Sept 2026, 08:56
5,656
-6
26 Aug 2026, 18:43
5,662
-6
23 Aug 2026, 13:17
5,668
-3
19 Aug 2026, 17:35
5,671
-4
16 Aug 2026, 21:39
5,675
+5
13 Aug 2026, 16:18
5,670
-1
10 Aug 2026, 17:55
5,671
first reading
Engagement
44 posts held, back to 22 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 9 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.43%
avg views ÷ 5,720 subscribers
Avg views / post
540
16 posts measured
Reaction rate
1.20%
reactions ÷ views · ER floor
Posts in window
16
of 44 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 13 of 16 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 4 November 2026
Posts held
44 (22 July 2026 – 4 November 2026)
Views total
8,632
Reactions total
84
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 19:50 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.
Reaction mix
213 reactions across 35 posts, in 6 distinct kinds. The most used accounts for 25.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5373251430167631482
55
25.8%
custom 5334765722876797671
53
24.9%
❤
52
24.4%
👍
22
10.3%
🔥
18
8.45%
👏
13
6.10%
Custom emoji. 2 of the rows above are 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 35 of the 44 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 213 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 22 July 2026 to 4 November 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
Telegram’s own ‘edited’ marker: 1 of 16 posts held from the last 30 days (6.25%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
⚡ Венчурная студия РСХБ на Kazan Digital Week: от АгроТех-Отбора до Investor Games
⬇️⬇️⬇️⬇️⬇️ Команда Венчурной студии РСХБ приняла участие в форуме Kazan Digital Week, который прошёл в Казани 29–31 октября. Три дня — про технологии для АПК, инвестиции и практическое применение инноваций в отрасли.
⭐ Большой АгроТех-Отбор 2026
Одним из ключевых событий стал суперфинал «Большого АгроТех-Отбора 2026», организованный …
⚡ Ваш агротех-стартап может попасть на Витрину стартапов РСХБ
🔥 Витрина стартапов на платформе РСХБ.Цифра — крупнейшая открытая база технологических компаний в АПК. Здесь представлены решения в области беспилотников, робототехники, точного земледелия, биотехнологий, фудтеха, вертикальных фермерства и других направлений.
🔊 Размещение на Витрине поможет стартапу:
🔘 повысить узнаваемость и представить продукт широкой …
🎙 Телекор ИТ - Зерно в цифре: как управлять процессами агропредприятия от приемки до отгрузки
⭐ В новом выпуске подкаста «Цифровая грядка» гость — Владимир Колушов, генеральный директор «Телекор Информационные Технологии». Компания более 10 лет разрабатывает и внедряет цифровые решения для логистики и производства, а её платформа Ютрит.Агро помогает управлять объектами хранения и переработки продукции АПК в едином ц…
⚡ Дайджест мероприятий
⭐ Делимся мероприятиями для технологических предпринимателей, стартапов, инвесторов и экспертов.
1. Вебинар «Как не платить НДС при продаже чужого ПО: Реестр Минцифры и сублицензии»
⭕ Онлайн
⭕ 13 ноября 2026 года 19:00
Формат: онлайн, участие бесплатное
Разберем, когда продажа прав на использование чужого программного обеспечения может быть освобождена от НДС, как правильно работать с Реест…
⚡ Топ-5 венчурных сделок в агротехе за октябрь 2026
⭐ Октябрь подтвердил главный тренд: инвесторы всё активнее ставят на биологию, роботизацию и климатические технологии. Вот пять наиболее заметных раундов месяца
1⃣ BioConsortia — $15 млн
Американская агробиотех-компания привлекла $15 млн для глобального запуска микробных технологий. Её ключевой продукт, Always N, — обработка семян микроорганизмами, которые помогаю…
🌱 Как агротех-стартапам подготовиться к привлечению инвестиций?
📆 11 ноября состоится встреча АгроИнвест Клуба, на которой участники представят результаты работы над инвестиционной упаковкой своих проектов.
⚡ Успей подать заявку на участие до 2 ноября
➡️ Узнать подробнее о программе и принять участие можно по ссылке
@agrotech_startup
#мероприятие
⚡ Панельная дискуссия «Культивирование здоровья: вызовы и современного фитосырья». ИННОСИБ-2026
🔊 Одним из спикеров выступила Чернышёва Наталья Дмитриевна — управляющий директор по технологическому развитию АПК, Россельхозбанк
🔥 Тема: Извлечение биологически активных веществ из природного растительного сырья.
🧬 Основные вопросы дискуссии:
🔘 Какие биологически активные вещества получают из растительного сырья и как…
⚡Продление срока подачи заявок на Студенческий агрофинтех-акселератор РСХБ⚡
📆 Приём заявок: 30 сентября — 6 ноября 2026 года
Пятый поток Агрофинтех-акселератора — программы для студентов, которые хотят развивать технологические проекты для сельского хозяйства и финансового сектора.
Писали детальную информацию в этом посте
✅ Успевайте подать заявку по ссылке
@agrotech_startup
#акселератор #стартапы
⚡ Earth Rover делает ставку на импульсный свет для борьбы с сорняками без использования химикатов
🔥 Британский стартап Earth Rover разработал автономного робота CLAWS, который борется с сорняками без химии. Он находит растение и направляет на точку роста короткий импульс концентрированного света — сорняк погибает, а культурное растение остаётся нетронутым.
✅ Как это работает
🔘 Робот перемещается по полю, распознаёт…
🧬 Американский стартап Pythag Tech привлек $4,25 млн, чтобы с помощью ИИ удешевить и ускорить производство культивированного мяса — мяса, выращенного из животных клеток, а не полученного от убоя.
🔥 Как работает ИИ
🔘 Сначала алгоритмы анализируют открытые данные и предлагают гипотезы: какие питательные вещества нужны клеткам, а какие можно исключить.
🔘 Затем лаборатория проводит эксперименты и собирает данные о кле…
🔥 Дайджест мероприятий
🔶 РУДН «Школа РНФ».
⭕ Когда: 27 октября
⭕ Где: РУДН
Российский научный фонд проведет «Школу РНФ» в Российском университете дружбы народов имени Патриса Лумумбы (РУДН). Интенсив объединит ученых, представителей научных и образовательных организаций, экспертов и технологических партнеров Фонда. Участниками «Школы РНФ» станут в том числе зарубежные исследователи из стран БРИКС.
➡ Участие в мер…
⚡ Ученые Пермского Политеха научили нейросеть сокращать потери калийных удобрений при производстве.
📈 Точность контроля удалось повысить до 96%. Разработка направлена на решение конкретной производственной задачи — сокращение потерь при выпуске калийных удобрений.
🧬 Что сделали исследователи?
Они применили искусственный интеллект для контроля процесса очистки руды. Задача нейросети здесь — не создавать тексты или и…
Showing the 12 most recent of 44 posts we hold for @agrotech_startup. 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 most recent of 9 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.
Shares as published. 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 44 most recent posts we hold, published 22 July 2026 to 4 November 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 19 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.
Агрономика @agro_nomika · 37,730 Telegram ranks this channel #10 of 93 here — alongside 92 others — read 31 August 2026
Русский венчур @rusven · 24,986 Telegram ranks this channel #26 of 96 here — alongside 95 others — read 15 September 2026
СберСтартап @sberstartup · 41,006 Telegram ranks this channel #48 of 100 here — alongside 99 others — read 29 August 2026
Фонд содействия инновациям @fasietalks · 22,927 Telegram ranks this channel #50 of 99 here — alongside 98 others — read 20 September 2026
Сколково @skolkovolive · 40,887 Telegram ranks this channel #56 of 98 here — alongside 97 others — read 29 August 2026
Сергей Иванов из ЭФКО @sergei_ivanov_efko · 63,462 Telegram ranks this channel #68 of 100 here — alongside 99 others — read 21 August 2026
Витрина стартапов @showstartup · 26,863 Telegram ranks this channel #69 of 90 here — alongside 89 others — read 11 September 2026
This channel appears in 7 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Агротех Стартапы” (@agrotech_startup), 5,720 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/agrotech_startup.
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.