Telegram RegisterThe public register of Telegram

Channel

Мама, я теперь СЕО| Подкаст Чехерия Георгия

@mamaceonow

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

860subscribers

+5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002397798326
TypeChannel
Username@mamaceonow
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/mamaceonow

Growth

855860857.56 August 2026 — 855 subscribers6 August 2026 — 855 subscribers7 August 2026 — 859 subscribers15 August 2026 — 860 subscribers6 August 202615 August 2026
4 measurements spanning 9 days, net +5. 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 854–861 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 11:43860+1
7 Aug 2026, 00:51859+4
6 Aug 2026, 14:49855no change
6 Aug 2026, 04:19855first reading

Engagement

20 posts held, back to 26 May 2026the 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 · 30 days
42.2%
avg views ÷ 860 subscribers
Avg views / post
363
4 posts measured
Reaction rate
4.82%
reactions ÷ views · ER floor
Posts in window
4
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (26 May 20266 August 2026)
Views total1,452
Reactions total70
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 14:49 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

480 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 35.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥16935.2%
13227.5%
👍11824.6%
🤝214.38%
🤩91.88%
👏71.46%
🥰71.46%
🆒61.25%
🎉61.25%
40.833%
🏆10.208%

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 20 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 480reactions 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 26 May 2026 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.

Telegram Stars

Stars received
64
across the posts below
Posts paid on
8
of 20 we hold a reading for · 40%
Most on one post
51
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mamaceonow. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 26 May 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

6 Aug 2026, 13:25 UTC117 views19 reactions1 Starread 6 August 2026
Photo

#3️⃣3️⃣ Выпуск готов 🔐😱 Гость: Екатерина Корнюшина — генеральный директор и основатель компании AIDeep Fake 📲 https://www.aideepfake.ru 🤖 Чем занимается компания? AIDeep Fake — резидент Сколково, разрабатывает технологию для распознавания дипфейков 🧠. Продукт выявляет: - подмену личности; - изменение мимики и движения губ; - синтетический голос 🗣; - полностью сгенерированные аватары. 💸 Рынок рисков и потерь По оц

🔥104👍4🤝1

2 Aug 2026, 20:32 UTC408 views33 reactions3 Starsread 6 August 2026
Video

#3️⃣2️⃣ Выпуск готов 🏦 Гость: Татьяна Мандрик - коммерческий директор «Банки.ру» 📲 https://www.banki.ru 🚀 С чего всё началось? Первая работа в 14 лет — промоутером в Coca-Cola 🥤. Уже тогда мечтала оказаться в крупной корпорации. А карьеру в финансах начала с позиции секретаря в банке «ДельтаКредит» за 8700 рублей 💰. 📈 Первый прорыв Узнав систему мотивации продавцов, Таня поняла: «Я не хочу быть секретарём». Перешл

🔥178👍8

20 Jul 2026, 17:41 UTC445 views9 reactionsread 6 August 2026
Forwarded from @tradingweek_ruPhoto

«Акции — нет, облигации и срочный рынок — да»: инвестиционный климат 2026 и ИИ-роботы для всех 🤩Иван Шаталов — руководитель продаж Alor Broker, брокера с 30-летней историей. ▶️ СМОТРЕТЬ ПОДКАСТ —Почему сейчас не стоит идти в акции, а облигации и срочный рынок — спасут портфель. —Как ИИ помогает создавать алгоритмические стратегии и роботов. —«Любой человек через месяц работы с ИИ может написать своего робота». —«И

🔥43👍2

17 Jul 2026, 20:19 UTC482 views9 reactionsread 6 August 2026
Forwarded from @tradingweek_ruPhoto

«Крипту можно покупать, но нельзя платить»: новое регулирование крипты и цифровой рубль в России 🤩Олег Вьюгин — экс-первый зампред ЦБ, член Совета директоров Мосбиржи ▶️ СМОТРЕТЬ ПОДКАСТ —Токенизация активов в России: облигации уже выпускают, биржевая торговля — вопрос времени. —Цифровой рубль: пилоты уже идут, доступность ожидается в 2027 году. —Преимущества цифрового рубля: мгновенные операции и смарт-контракты.

👍43🔥2

15 Jul 2026, 14:47 UTC480 views9 reactionsread 6 August 2026
Forwarded from @tradingweek_ruPhoto

«Неопределённость — в наших головах»: как управлять активами в 2026 году 🤩Евгений Коган — серийный предприниматель, инвестор-банкир, автор телеграм-канала «Биткоган», более 30 лет в инвестициях. ▶️ СМОТРЕТЬ ПОДКАСТ —Облигации, банковский сектор и дивидендные акции — куда вложиться. —Нефтянка, фармацевтика и биотех: какие секторы интересны. —Тренды 2026 года: медь, золото, сырьё и искусственный интеллект. —«Крипта

👍43🔥2

10 Jul 2026, 14:03 UTC531 views61 reactionsread 6 August 2026
Photo

🔥 «Мама, я теперь СЕО»: 140 000 просмотров — и это только начало! Общее количество просмотров нашего подкаста на всех платформах — YouTube, ВКонтакте и RUTUBE — превысило 140 000! Это не просто цифры. Это значит, что разговоры о карьере, бизнесе и трендах находят отклик у самой взыскательной аудитории. 👏 Кто нас смотрит и слушает? Наши зрители и подписчики — это руководители и топ-менеджеры: * 🏦 Банков * 🛡️ С

27🔥23👍9🎉2

7 Jul 2026, 12:13 UTC512 views12 reactionsread 6 August 2026
Photo

9 июля состоится форум Data Day на ВДНХ — одном из крупнейших событий по данным и искусственному интеллекту. У нас получилось взять небольшое интервью со спикером форума Андреем Скачёк, директором по маркетингу М.Видео 🩷 Поговорили о том, как подружить аналитику и креатив, почему данные — это новые деньги, и как ИИ меняет маркетинг. Делимся главным 👇 📊 Маркетинг — это не только креатив Андрей пришёл в маркетинг из

🔥6👍42

6 Jul 2026, 06:53 UTC489 views14 reactions51 Starsread 6 August 2026
Video

#3️⃣0️⃣ Выпуск готов 💜🌞🏝️ Гость: Игорь Сивец- член Совета директоров сервиса путешествий «Туту»! 📲 https://www.tutu.ru Мы поговорили о карьере, финтехе, трендах в тревеле и даже о том, как ИИ меняет нашу жизнь. Делимся главными мыслями 👇 🧭 Карьерный путь: от консалтинга до Совета директоров Игорь начинал с внедрения SAP в нефтянке и Росатоме, затем перешёл в «Норникель», а после MBA в Стокгольмской школе экономик

7🔥4👍3

2 Jul 2026, 20:21 UTC546 views54 reactions1 Starread 6 August 2026
Video

Мы тоже в тренде 🌟

👍22🔥208🤩4

26 Jun 2026, 08:56 UTC786 views25 reactions1 Starread 6 August 2026

Друзья! 9 июля я буду на форуме Data Day на ВДНХ — одном из крупнейших событий по данным и искусственному интеллекту. Организаторы предоставили мне несколько пригласительных билетов для друзей и коллег. Используйте мой промокод на скидку 100% (количество регистраций по нему ограничено) и присоединяйтесь к форуму. Промокод: DDSPEAKER Ссылка на регистрацию: https://id-reglament-event.timepad.ru/event/4017555/ Увид

🔥13👍75

23 Jun 2026, 13:40 UTC620 views15 reactionsread 6 August 2026
Forwarded from @tradingweek_ruPhoto

«Людям надо дать возможность уйти с мероприятия минимум с 30-40 контактами в кармане» 🤩Эдгар Григорян — сооснователь Moscow Trading Week и The Trends ▶️ СМОТРЕТЬ ПОДКАСТ —Почему мероприятие в башне Федерации стало рискованным, но очень сильным решением. —Как собрать полный зал без пустых рядов и почему люди сидят до закрытия. —Почему нишевые мероприятия по финансовым рынкам работают лучше массовых. —Как организато

🔥8👍4🤝3

21 Jun 2026, 18:39 UTC593 views27 reactionsread 6 August 2026
Video

#2️⃣9️⃣ Выпуск готов ❤️ Гость: Екатерина Филенко - Руководитель по развитию бизнеса "Яндекс Книги" 📲 https://books.yandex.ru/ Ключевые тезисы. 🚀 В 15 лет закончила школу, в 20 — университет. 📱 Работала с Samsung, ivi, Avito, AliExpress. 🤝 Сейчас развивает партнёрства в Яндекс Книгах и делает чтение модным. В этом выпуске говорили о самом интересном: 🎓 Как закончить школу на 3 года раньше и не вылететь из вуза.

🔥155🤩4👍3

Showing the 12 most recent of 20 posts we hold for @mamaceonow. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 29,741 of 1,478,351entries 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.

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.

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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Мама, я теперь СЕО| Подкаст Чехерия Георгия” (@mamaceonow), 860 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/mamaceonow.

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.