Telegram RegisterThe public register of Telegram

Channel

Ольга Сапрыкина | Лето фрилансера

@saprykinaPRO

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

92subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002309219400
TypeChannel
Username@saprykinaPRO
DescriptionКоучу людей и коучей, веду страт и не только сессии,создаю программы обучения.Пишу о работе с командами, об успехах и факапах обучения взрослых,о своих детях и своих концертах.Делюсь иногда заумно и сложно, иногда иронично. https://ольгасапрыкина.рф
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/saprykinaPRO

Growth

927 August 2026 — 92 subscribers9 August 2026 — 92 subscribers7 August 20269 August 2026
2 measurements spanning 2 days. 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 91–93 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 13:4692no change
7 Aug 2026, 23:2392first reading

Engagement

10 posts held, back to 12 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
13.6%
avg views ÷ 92 subscribers
Avg views / post
12.5
2 posts measured
Reaction rate
9.09%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held10 (12 May 20266 August 2026)
Views total25
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 13:46 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

Photos
71
Videos
31
Links
27

Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

23 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 52.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1252.2%
🔥626.1%
👏313.0%
💯14.35%
😁14.35%

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 7 of the 10 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 12 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.

Recent posts

6 Aug 2026, 05:42 UTC11 views1 reactionsread 9 August 2026
Forwarded from @lider_delo

В продолжение исследования про вызовы HR 2026 (да и 2027 тоже). Первая статья, которая летит под нож, — обучение. Много раз мы «играли на этой гармошке». Свернули-развернули, срезали-вернули. Почему режут? Финансовый директор смотрит на расходы и его глазами: 📍Это FLEX. То есть статься расходов, которую можно быстро урезать или вообще убрать без немедленных юридических или технических последствий. 📍Это отложенный э

💯1

6 Aug 2026, 05:41 UTC14 viewsread 9 August 2026

В последнее время даже те клиенты которые всегда «за» обучение, сессии, развитие аккуратны в желаниях. Второе полугодие в большинстве компаний - пересмотри бюджетов и оптимизация. По мотивам этих данных я недавно делилась мыслями ещё в одном канале https://t.me/lider_delo, приведу вам текст. Буду признательная если поделитесь своими мыслями по поводу темы ( если также откликается)

15 Jul 2026, 08:38 UTC46 views4 reactionsread 9 August 2026
Photo

Я так бодро в начале лета писала о командообразованиях, что получила их. Но скажу честно: в мешках ни с кем я не прыгаю. Во-первых, мне самой это давно неинтересно. Во-вторых, точно знаю – это ничего не даёт. В-третьих, я знаю, как эффективнее. В-четвертых, сейчас такое время: руководители готовы вложиться в результат с очевидным велью, а не в неопределённые активности среди коллектива на природе. И по-хорошему, ну

4

3 Jun 2026, 09:00 UTC72 views3 reactionsread 9 August 2026

Решила вам показать Хронику командообразований – и залипла в фотоленте. С 2016 года (за 10 лет чего только не было), сначала мы выезжали с крупными командами за город или в город присутствия и в целом, из песка и палок (преимущественно веревок и скотча) обеспечивали командам взаимодействие, командный опыт, рефлексию и сплоченность. Далее эволюция вела нас все дальше и стали появляться веревочные программы с оборудов

🔥3

19 May 2026, 14:10 UTC88 views5 reactionsread 9 August 2026

Вы знаете, я в прошлом году совершенно пропустила Лето деловое. В том плане, что обычно, лето пора тимбилдингов. А мы на них с командой тренеров в банке «съели собаку» ( простите) аж с 2014 года. Так вот, чтобы я в этом году точно не пропустила важное, меня поддержала Саша @Alexandra_Kraft и даже взялась структурировать мою хаотично-энергичную работу 🙏🙏🙏. Делюсь с вами её текстом о предстоящих планах👇🏻👇🏻👇🏻 Лето бл

4🔥1

13 May 2026, 14:54 UTC59 viewsread 9 August 2026

Продолжаю списывать друзья. Простите 🙏❤️

13 May 2026, 14:54 UTC91 views7 reactionsread 9 August 2026
Forwarded from @tk_ekbPhoto

📆 13 мая в Точке кипения — Екатеринбург состоялась установочная сессия проекта наставничества Управления государственной экспертизы Свердловской области — первого мероприятия в рамках образовательной программы третьего сезона проекта на тему Развитие малых городов Северного Урала. 💼 Организатор: Управление государственной экспертизы Свердловской области. 👭 Участники: 🔘студенты, прошедшие конкурсный отбор 🔘наставник

4👏3

12 May 2026, 15:49 UTC50 viewsread 9 August 2026

ТоварисЧи. Писать не успеваю. Поэтому списываю у Нади @SelivanovaNadezhda, ей доверяю на все 200%, так что списать не грех. Подтверждаю. Было

12 May 2026, 15:49 UTC63 views2 reactionsread 9 August 2026
Forwarded from @selivanovanadya

Коучинг в нестабильности: как перестать реагировать и начать управлять ситуацией 🧡 Вместе с Ольгой Сапрыкиной провели мастер-класс «Коучинг в нестабильности: как перестать реагировать и начать управлять ситуацией» Для руководителей и предпринимателей, которым важно выстраивать работу команды так, чтобы был не только результат, но и понятные, предсказуемые последствия этого результата — для бизнеса, для людей и для

🔥2

Showing the 10 most recent of 10 posts we hold for @saprykinaPRO. 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

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

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

“Ольга Сапрыкина | Лето фрилансера” (@saprykinaPRO), 92 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/saprykinaPRO.

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.