Marketing & affiliate — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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 why it has no browse page of its own yet.
Growth
32 measurements spanning 40 days, net -113. 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 13,278–13,425 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
15 Sept 2026, 05:15
13,295
-5
13 Sept 2026, 10:59
13,300
-4
9 Sept 2026, 01:21
13,304
-7
5 Sept 2026, 20:38
13,311
-7
3 Sept 2026, 17:00
13,318
-13
2 Sept 2026, 07:03
13,331
-6
1 Sept 2026, 08:15
13,337
-2
31 Aug 2026, 05:57
13,339
-6
30 Aug 2026, 05:08
13,345
-7
29 Aug 2026, 04:37
13,352
-8
28 Aug 2026, 01:14
13,360
-11
27 Aug 2026, 02:54
13,371
-8
26 Aug 2026, 04:26
13,379
-2
25 Aug 2026, 05:55
13,381
-2
24 Aug 2026, 03:37
13,383
-7
22 Aug 2026, 12:35
13,390
+2
21 Aug 2026, 06:23
13,388
+8
20 Aug 2026, 07:36
13,380
-3
19 Aug 2026, 10:26
13,383
-1
18 Aug 2026, 08:33
13,384
first reading
Engagement
25 posts held, back to 27 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 51 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.55%
avg views ÷ 13,295 subscribers
Avg views / post
1,000
6 posts measured
Reaction rate
3.06%
reactions ÷ views · ER floor
Posts in window
6
of 25 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
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
25 (27 July 2026 – 2 September 2026)
Views total
6,022
Reactions total
184
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:15 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
10m 41s
Average length
2m 08s
Measured directly from 5 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.
Reaction mix
766 reactions across 22 posts, in 8 distinct kinds. The most used accounts for 35.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
272
35.5%
❤
214
27.9%
👍
147
19.2%
🤣
98
12.8%
💯
23
3.00%
⚡
6
0.783%
🤩
5
0.653%
🤝
1
0.131%
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 23 of the 25 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 784 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 27 July 2026 to 2 September 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
16
across the posts below
Posts paid on
12
of 23 we hold a reading for · 52%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @eshamardin. 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 25 most recent posts we hold for this entry, published 27 July 2026 to 2 September 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.
Про органику в ВК
В ВК сильно лучше стала работать органика по текстовым постам!
Разместил вчера текстовый пост в ВК.
140 тысяч просмотров за сутки, из которых 100 тысяч - не подписчики.
Это кратно больше, чем у меня во всех ТГ-каналах и Макс вместе взятых.
Другой пример - пост с юмором.
Картинка с рабочим календарем.
618 тысяч просмотров!
Подписчики также растут каждый день.
Вывод:
Какой же я молодец, что прост…
С 1 сентября!
Запомним это лето:)
«Знайте же, что ничего нет выше и сильнее и здоровее, и полезнее впредь для жизни, как хорошее какое-нибудь воспоминание, и особенно вынесенное еще из детства. Вам много говорят про воспитание ваше, а вот какое-нибудь этакое прекрасное, святое воспоминание, сохраненное с детства, может быть самое лучшее воспитание и есть. Если много набрать таких воспоминаний с собою в жизнь, то сп…
Вайбкодинг и видео
Придумал я вчера сценарий этого видео.
Записал в заметки.
И думаю: видео будет смешным только если показать в режиме демонстрации экрана типа реальный интерфейс этого приложения которое шеф сделал.
Но как это сделать?
Закинул в Claude Code сценарий > обьяснил задачу > попросил в конце сделать как будто рекламные баннеры вылетают.
10 минут - и получил готовую видео-вставку.
За несколько часов уж…
Результаты контент-маркетинга
Шеф - моя платформа для руководителей
2 289 подписчиков за 3 недели
Больше всего подписок дала эта карусель (735 человек)
и видео про Гост для руководителей (727 человек)
TalentKit
Моя платформа для улучшения резюме и поиска работы
1080 подписчиков за месяц
Больше всего подписок дал продающий контент (без лица спикера!)
Например: видео про атс фильтр при поиске работы или карусель или…
С вайбкодингом есть одна проблема - невозможно остановиться
Вот уехал на 3 дня в Карелию, а интернета там почти нет...
На фото запечатлен момент моей поездки в ближайший населенный пункт Лахденпохья, чтобы восстановить соединение между Claude и моим сервером 😂
"На чем вы сейчас сидите?"
"На антропиках"
p.s. Антропик - компания, которой принадлежит ИИ Claude
Подборка постов⤵️
Про личный бренд
⚫️История про мой личный бренд
⚫️С чего начать развитие личного бренда
⚫️Почему «найму подрядчика» не работает
⚫️Я не знаю что снимать!
Нейросети 🤖
⚫️С чего начать работу в ИИ?
⚫️Гайд по регистрации и оплате Claude и ChatGPT из РФ
⚫️Как я использую нейросети
⚫️Зачем вам вайбкодинг
⚫️Подборка лучших нейросетей
⚫️Как я закрываю бизнес задачи в ИИ
⚫️Что находится под капотом у моих п…
Как я использую в маркетинге Claude
В одном из моих проектов (talentkit.ru - сервис для улучшения резюме и поиска работы) я придумал рубрику для контента.
Её суть в том, чтобы через сервис прогонять резюме и всё это показывать на камеру в режиме онлайн.
Вот резюме Врача-терапевта посмотрим сколько баллов наберет?
Вот резюме Руководителя отдела продаж - посмотрим как изменится после улучшения и т д
НО
Вручную это д…
Инструкция: что делать с хейтом в комментариях?
1) Если вы начинаете вести соцсети - важно принять, что всегда будут люди, кому вы очень не понравитесь (внешним видом/мнением/еще чем-то)
2) Отметить все галочки как указано на скрине
p.s. На конструктивную критику можно отвечать
Но ваш блог не обязан быть местом для дискуссий, тем более токсичных комментариев в ваш адрес :)
Никто кроме вас
Ко мне приходят часто с запросом на продвижение в соцсетях эксперты/бизнесы, которые находятся в точке "ноль"
Соцсетей нет, маркетинга нет, только по сарафану продажи
И часто они думают, что есть только 2 пути:
1. Нанять сильного маркетолога, который займется "операционкой".
Соберет фактуру, разберется в продукте, напишет сценарии, выстроит стратегию, будет проверять гипотезы..
Проблема в том, что …
Карусель карусель 🎠
Это формат контента - несколько картинок-карточек.
Отлично работает в инстаграм* и в ВК (!).
Выше - пример такой «карусели».
Суммарно собрала 700 тыс просмотров за сутки и привела 300 подписчиков.
Сделал ее вчера утром за 15 минут с помощью Codex (chatgpt для ПК)
Вот она целиком - https://www.instagram.com/p/DcF7b9njFSq/
А карусели с экспертным контентом делаю еще быстрее — в своем Штабе контен…
Сильный личный бренд
13 дней назад стартовал курс "Сильный личный бренд и вайбкодинг"
Что происходит - в карточках!
Разборы, споры, черновики и первые ролики.
Я записал 47 голосовых разборов
32 ролика уже выложены.
12 человек, которые до курса не снимали вообще - начали это делать 🔥
Но самое главное - люди начали разбирать друг друга, а это самое ценное.
Ну и конечно - работает "в поте лица" ИИ-куратор Галина.
Она…
Заметки об ИИ
Смотрите видео - задавайте вопросы :)
👍15🔥11❤8
Showing the 12 most recent of 25 posts we hold for @eshamardin. 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.
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 4 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.
Официальный канал Телеметра - Telemetr.me @telemetr_me · 37,219 Telegram ranks this channel #46 of 62 here — alongside 61 others — read 1 September 2026
Газпром межрегионгаз @news_mrg · 53,707 Telegram ranks this channel #62 of 94 here — alongside 93 others — read 31 August 2026
Петербургские истории 🎞 @piter_places · 45,179 Telegram ranks this channel #84 of 91 here — alongside 90 others — read 27 August 2026
Газ для России @gasification_news · 48,410 Telegram ranks this channel #92 of 98 here — alongside 97 others — read 31 August 2026
This channel appears in 4 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Евгений Шамардин | Boost” (@eshamardin), 13,295 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/eshamardin.
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.