Channel
@ro_baten_cases
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
29subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002054563448 |
|---|---|
| Type | Channel |
| Username | @ro_baten_cases |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 11 September 2026 |
| On Telegram | t.me/ro_baten_cases |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 20:19 | 29 | -1 |
| 11 Aug 2026, 04:01 | 30 | no change |
| 6 Aug 2026, 22:22 | 30 | first reading |
19 posts held, back to 2 November 2024 — 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 19 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 7 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.
7 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 57.1% | |
| 👍 | 3 | 42.9% |
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 3 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 7 reactions 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 2 November 2024 to 6 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.
Через месяц после закрытия проекта снял с командой заказчика фактические цифры. Компания сдаёт автомобили в аренду водителям такси, парк около 400 машин. Фонд оплаты труда: 2,5 млн рублей в месяц на первое мая, 2,0 млн сегодня. Минус 500 тысяч ежемесячно, семь человек. Их функции ушли не «в нейросеть», а в собственное приложение компании — около 70% вопросов водителей закрывается без человека. Бюджет ремонта за это …
Кейс. Константин - мастер духовных практик, зарабатывал на персональном ведении и курсах, хотел больший поток клиентов. Я соединил его с блогером с аудиторией и направленностью на инвестиции и счастье. Их союз дал большую ценность аудитории блогера и стабильный поток клиентов для Константина. Было: просадки в выручке, нет потока, работа «по зову сердца» • Стало: выручка сильно выросла, поток через блогера + доп. ка…
Voice message, posted without a caption
Voice message, posted without a caption
Кейс по росту дохода эксперта. Даниил - предприниматель из Санкт-Петербурга. Хотел зарабатывать на знаниях и опыте, видел как я зарабатываю на консалтинге миллионы, хотел так же. • Было: 0 ₽ с консалтинга + выгорание от прошлых попыток продавать дорого • Стало (2 мес): первый клиент 60к → 4 клиента, ~400к ₽/мес • Стало (6 мес): один клиент 300к ₽/мес, новый — до 700к ₽/мес (консалт + комдир + KPI)
#кейс роста из США Начали работать с Александром Пономаренко (его инста) год назад. Проект по внедрению системного менеджмента завершили за 7 месяцев и дошлифовывали ещё 3 месяца. Был перевод на английский язык всех материалов по обучению, управленческих таблиц и регламентов. Выручка 25.000.000 $, 5 магазинов под Бостоном, 400 единиц техники единовременно в продаже. Результаты: 1. +30% к выручке 2. +40% к чистой …
Прошёл почти год с момента трансформационной сессии, которая длилась несколько часов. Юрий поделился результатами как изменилась его жизнь в плане увеличения доходов, нашёл любимую женщину, женился, родили ребёнка, о том, как вошёл в топ10 лучших риелторов в своей компании с нуля. Мне важны результаты на дистанции, я работаю на длинную и супер длинную дистанции.
❤2
Год прошёл. Я не выкладывал кейс, ждал проверки результатов временем. Александр Грин, предприниматель из строительного бизнеса, приезжал с некоторыми конфиденциальными запросами и в том числе на трезвость. Все результаты после трансформационной сессии сохранены, в том числе первый год трезвой жизни с момента отказа от зависимости. Горжусь. Благодарю за доверие.
❤2
Video message, posted without a caption
Video message, posted without a caption
Video message, posted without a caption
Ребят всем привет👋 Делюсь с вами отзывом после трансформации с Антоном, как у меня все раскрывается удивительным образом. Очень благодарна @batyaro🙏❤️ дай бог здоровья и успехов тебе Антон в твоей деятельности, ты настоящий лекарь человеческих душ🙏🙏🙏
Showing the 12 most recent of 19 posts we hold for @ro_baten_cases. 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.
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.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“Кейсы Ро Батень” (@ro_baten_cases), 29 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/ro_baten_cases.
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.