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 12 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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 94 days, net +88. 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 7,695–7,812 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
8 Nov 2026, 15:19
7,796
+3
5 Nov 2026, 03:27
7,793
-5
2 Nov 2026, 09:36
7,798
+2
30 Oct 2026, 17:17
7,796
+3
21 Oct 2026, 11:16
7,793
+2
18 Oct 2026, 00:17
7,791
+5
14 Oct 2026, 20:07
7,786
+16
11 Oct 2026, 15:18
7,770
+1
5 Oct 2026, 11:38
7,769
+14
27 Sept 2026, 17:56
7,755
+24
17 Sept 2026, 21:38
7,731
+14
13 Sept 2026, 11:41
7,717
+4
9 Sept 2026, 16:16
7,713
+2
4 Sept 2026, 08:40
7,711
-3
31 Aug 2026, 18:07
7,714
-1
29 Aug 2026, 04:12
7,715
-5
23 Aug 2026, 00:39
7,720
+5
19 Aug 2026, 13:11
7,715
-1
16 Aug 2026, 21:44
7,716
+6
13 Aug 2026, 10:26
7,710
first reading
Engagement
97 posts held, back to 1 August 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 28 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.62%
avg views ÷ 7,796 subscribers
Avg views / post
361
22 posts measured
Reaction rate
0.736%
reactions ÷ views · ER floor
Posts in window
22
of 97 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 21 of 22 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 8 November 2026
Posts held
97 (1 August 2026 – 8 November 2026)
Views total
7,932
Reactions total
56
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 13:14 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
7s
Average length
7s
Measured directly from 1 video 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
186 reactions across 78 posts, in 12 distinct kinds. The most used accounts for 36.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
67
36.0%
❤
48
25.8%
🔥
25
13.4%
🤡
13
6.99%
custom 5208945510638957569
9
4.84%
👎
9
4.84%
💯
4
2.15%
😁
3
1.61%
🤬
3
1.61%
👌
2
1.08%
🙏
2
1.08%
😱
1
0.538%
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 is 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 81 of the 97 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 191 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 97 most recent posts we hold, published 1 August 2026 to 8 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.
Advertising
Ad load
1.03%
1 of 97 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
257
over 1 measured post
Median views · rest
322
over 96 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFHRazBK
1
21 August 2026
21 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 97 most recent posts we hold, published 1 August 2026 to 8 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 6 of 22 posts held from the last 30 days (27.3%) 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).
📰 Новости и инструменты
Финмодель экспортного проекта от РЭЦ. Бесплатный на этапе тестирования файл помогает посчитать доходы, расходы и окупаемость выхода на новый рынок. Исходные допущения о продажах и логистике команде предстоит проверить самой. Инструмент
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В ближайшие недели закрываются заявки сразу в несколько программ. Сверьте направление, стадию проекта и географические условия до подачи.
🇷🇺 Россия
8 ноября · «Вопреки»
Для предпринимателей 14–35 лет из арктических регионов. Очная программа в Мончегорске 20–22 ноября; проживание и питание оплачивают, дорогу — участники. Подробнее на сайте
9 ноября · ЦБ…
🎤 Ещё две встречи для стартапов и инвесторов
11 ноября, 10:00–14:00 · Москва
Инвестиционный бизнес-завтрак: источники финансирования, частные инвесторы, фонды и формы привлечения капитала. В программе заявлены презентации проектов и обратная связь. Карточка ·
28 ноября, 11:00 по Томску
«СТАРТУЕМ»: питчи перед инвесторами и бизнес-ангелами, обратная связь и знакомства. По анонсу, на сцену отберут 20 проектов; заявки…
🎤 Восемь питчей и демо-дней ноября
Где можно показать проект, посмотреть выступления и познакомиться с рынком .
Сегодня, 6 ноября, 17:30 · Долгопрудный
Пицца-питч GameDev-проектов «Физтех.Идея+». Выступают участники трека; гости могут прийти послушать и познакомиться с командами. Карточка
7 ноября, 10:00 · Онлайн
«Открытый микрофон» Хелснет для проектов в медицине и здоровье. Участие
11 ноября, 18:00 · Москва
«Агр…
🦄 Что показать инвестору, когда презентация уже готова
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— Дмитрий Калаев обращает внимание на завершённые пилоты с крупными клиентами при оценке стартапов в информационной безопасности. Это отраслевой взгляд, не единое требование всех инвесторов.
— Аарон Харрис (Бывший партнёр Y Comb…
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На «Витрине заказчиков» появились задачи «Ростелеком Х.Технологии», ФГУП «Радон» и «Юрента». Среди запросов — цифровые сервисы для отелей, управление производством, роботы для обращения с радиоактивными отходами и износостойкие детали самокатов. По данным МИК, сервис объединяет более 300 запросов от 84 заказчиков. Для технологических команд…
Клиенты, продукт и деньги: восемь мероприятий ноября
👋 Привет, дорогие Единороги Дороги. С вами Михаил Бялый, автор канала. Сегодняшняя подборка будет в новом формате. Если такой формат вам понравится- поставьте лайки, мои молчаливые друзья. 😁
Выделил для вас 8 мероприятий, которые точно не стоит пропустить.
10.11 · 11:00 · Онлайн
Продажи в кризис
Удержание клиентов и поиск точек роста.
10.11 · 13:00 · Онлайн
Как…
📊 ИССЛЕДОВАНИЯ И ЭКСПЕРТНЫЕ ВЫВОДЫ
ИИ в контакт-центрах: оценка эффекта — 71,8 млрд ₽
MWS AI построила модель на 330 тыс. операторов и приблизительно 363 млрд ₽ годовых расходов российских контакт-центров. В базовом сценарии компания оценивает валовой эффект ИИ в 71,8 млрд ₽ за 2026 год, из которых 50,5 млрд ₽ приходится на автоматизацию входящих обращений. Это прогноз экономии, а не подтверждённая выручка поставщи…
🤩🤩🤩 12 ноября не пропустите Стартап-кафе: Таланты «Понятно ли, что вы продаёте?» — экспресс-аудит позиционирования и коммуникаций стартапа
Мероприятие пройдет в формате игры «5 секунд». В режиме реального времени проверим, как ваш сайт, лендинг или питч воспринимается «холодной» аудиторией.
Что будет на мероприятии:
👉Разбор психологии первого касания. Узнаете, почему основатели «слепы» к собственным ошибкам, и изу…
📰 НОВОСТИ
МИК запустил подбор исполнителей НИОКР
Московский инновационный кластер сообщил о новом сервисе поиска научных и технологических партнёров. Заказчик описывает задачу и результат, специалисты подбирают компании и исследовательские команды и организуют встречу. Для стартапов это потенциальный канал выхода на заказчиков, для бизнеса — помощь в поиске компетенций. Условия попадания исполнителей в подборку в с…
⚡️ Менторская поддержка для стартапов
Поднимите руку, если вы развиваете собственные продукты и выводите на рынок инновационные решения! Для вас есть отличная возможность усилить свой проект ⬇️
«Школа менторов» Московского инновационного кластера продолжает набор на менторское сопровождение.
Кто такие менторы?
Это эксперты с опытом управления бизнесом, проектами и командами от трёх лет. Все они прошли строгий трё…
Финальный питч Бизнес-форума МГУ!🔥
Друзья! Бизнес-клуб МГУ и Бизнес-инкубатор МГУ открывают отбор на питч-сессию.
21 ноября лучшие стартапы МГУ выступят перед инвесторами, предпринимателями и аудиторией форума.
Кто может подать заявку:
🔹 команда, в которой обязательно есть студенты, аспиранты или выпускники МГУ;
🔹 команды, у которых уже есть первые продажи;
🔹 проекты, готовые показать метрики, прогресс и реальный …
❤1🔥1🙏1
Showing the 12 most recent of 97 posts we hold for @UnicornRoad. 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.
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 9 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.
СберСтартап @sberstartup · 40,970 Telegram ranks this channel #5 of 100 here — alongside 99 others — read 29 August 2026
Фонд содействия инновациям @fasietalks · 22,941 Telegram ranks this channel #8 of 99 here — alongside 98 others — read 20 September 2026
Предпринимай! @subsidii_msk · 30,373 Telegram ranks this channel #17 of 98 here — alongside 97 others — read 6 September 2026
Forbes. Идеи для бизнеса @forbes_business · 26,693 Telegram ranks this channel #22 of 99 here — alongside 98 others — read 12 September 2026
МСП.РФ для бизнеса @platformMSPRF · 24,265 Telegram ranks this channel #27 of 98 here — alongside 97 others — read 16 September 2026
Сколково @skolkovolive · 40,891 Telegram ranks this channel #41 of 98 here — alongside 97 others — read 29 August 2026
Корпорация МСП @corpmspof · 39,367 Telegram ranks this channel #54 of 98 here — alongside 97 others — read 30 August 2026
Русский венчур @rusven · 24,989 Telegram ranks this channel #57 of 96 here — alongside 95 others — read 15 September 2026
Club 500 @journal500 · 19,434 Telegram ranks this channel #64 of 86 here — alongside 85 others — read 30 September 2026
Бизнес-клуб «Атланты» @bc_atlanty · 31,079 Telegram ranks this channel #72 of 96 here — alongside 95 others — read 6 September 2026
This channel appears in 10 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Дорога Единорога - стартап события: все в одном месте.” (@UnicornRoad), 7,796 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/UnicornRoad.
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.