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Channel

Ше-Ля-Ви | Спросите Шелега 🙋🏻‍♂️

@She_La_Ve

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

74,759subscribers

+2,977 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002249588846
TypeChannel
Username@She_La_Ve
DescriptionАвторский канал Сергея Шелег (@sshlg) о стартапах, ИИ, технологиях и других достижениях человечества, а также личное мнение по общественным и другим вопросам 🔗 https://sshlg.me
Created28 May 2024measured — dated from the channel’s first post
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/She_La_Ve

Topic

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

71,78274,75973,270.57 August 2026 — 71,782 subscribers7 August 2026 — 71,842 subscribers8 August 2026 — 71,937 subscribers9 August 2026 — 72,054 subscribers10 August 2026 — 72,110 subscribers11 August 2026 — 72,232 subscribers13 August 2026 — 72,306 subscribers14 August 2026 — 72,483 subscribers15 August 2026 — 72,587 subscribers17 August 2026 — 72,749 subscribers18 August 2026 — 72,821 subscribers19 August 2026 — 72,917 subscribers20 August 2026 — 73,036 subscribers21 August 2026 — 73,123 subscribers22 August 2026 — 73,304 subscribers24 August 2026 — 73,434 subscribers25 August 2026 — 73,228 subscribers26 August 2026 — 73,317 subscribers27 August 2026 — 73,426 subscribers28 August 2026 — 73,452 subscribers29 August 2026 — 73,415 subscribers30 August 2026 — 73,459 subscribers31 August 2026 — 73,483 subscribers1 September 2026 — 73,547 subscribers2 September 2026 — 73,619 subscribers4 September 2026 — 73,723 subscribers6 September 2026 — 73,938 subscribers9 September 2026 — 74,108 subscribers12 September 2026 — 74,331 subscribers13 September 2026 — 74,447 subscribers15 September 2026 — 74,603 subscribers17 September 2026 — 74,759 subscribers7 August 202617 September 2026
32 measurements spanning 41 days, net +2,977. 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 71,335–75,206 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 12:1574,759+156
15 Sept 2026, 11:5974,603+156
13 Sept 2026, 22:1874,447+116
12 Sept 2026, 06:1574,331+223
9 Sept 2026, 21:2174,108+170
6 Sept 2026, 13:3573,938+215
4 Sept 2026, 05:4073,723+104
2 Sept 2026, 15:4673,619+72
1 Sept 2026, 15:4973,547+64
31 Aug 2026, 18:3673,483+24
30 Aug 2026, 16:0373,459+44
29 Aug 2026, 18:2273,415-37
28 Aug 2026, 20:4273,452+26
27 Aug 2026, 17:4773,426+109
26 Aug 2026, 19:1373,317+89
25 Aug 2026, 17:0573,228-206
24 Aug 2026, 16:1373,434+130
22 Aug 2026, 23:5873,304+181
21 Aug 2026, 10:1373,123+87
20 Aug 2026, 09:4273,036first reading

Engagement

11 posts held, back to 28 May 2024the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 95 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.42%
avg views ÷ 74,759 subscribers
Avg views / post
5,550
2 posts measured
Reaction rate
0.811%
reactions ÷ views · ER floor
Posts in window
2
of 11 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 28 August 2026
Posts held11 (28 May 202428 August 2026)
Views total11,100
Reactions total90
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 12:35 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
7
Links
6

Lifetime counters from Telegram’s own channel header, read 22 September 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

973 reactions across 10 posts, in 11 distinct kinds. The most used accounts for 51.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
50551.9%
👍21622.2%
🔥10310.6%
444.52%
😁252.57%
🐳212.16%
🌚191.95%
🤡141.44%
💔90.925%
😍90.925%
🤯80.822%

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 10 of the 11 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 973 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 28 May 2024 to 28 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
22
across the posts below
Posts paid on
7
of 10 we hold a reading for · 70%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @She_La_Ve. 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 11 most recent posts we hold for this entry, published 28 May 2024 to 28 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

28 Aug 2026, 15:49 UTC≈5,060 views51 reactions2 Starsread 22 September 2026
Photo

Вы всё ещё платите за клинеры для MacBook, которые что-то там чистят и удаляют кэш браузера? Я просто запустил Claude Code из корня диска и попросил сначала провести анализ оперативной памяти и дискового пространства. Он нашёл зависшие процессы Chrome, старые Docker volumes, build cache, npm-кэши и другие артефакты. Один прогон: было 52 ГБ свободно, стало 96 ГБ. Результат на скриншоте. Конечно, агент может ошибить

29👍8🐳6🔥5😁3

24 Aug 2026, 21:04 UTC≈6,040 views39 reactions2 Starsread 22 September 2026
Photo

AI быстро пишет код. Проблемы начинаются, когда этот код нужно поддерживать Первые итерации обычно выглядят отлично. Агент быстро собирает фичу, чинит ошибку и уверенно пишет «готово». Потом проект начинает жить. Нужно изменить старую логику, добавить новый сценарий или разобраться, почему сломалось то, к чему никто не прикасался. И тут выясняется, что часть требований потерялась, тесты не запускались, документаци

229👍8

20 Jun 2026, 11:47 UTC≈14,200 views115 reactions2 Starsread 22 September 2026

Скорость ответа = деньги. Я это доказал цифрами. Раньше я отвечал клиентам сам. Утром просыпался — 15 новых сообщений. Пока разбирался, половина уже ушла. Один клиент написал в пятницу вечером. Я ответил в понедельник. Он уже купил у другого. Это был контракт на $3 000. Я посчитал: за месяц я терял 20–30% входящих лидов просто из-за задержки ответа. Не из-за цены. Не из-за продукта. Просто — не успевал. Что я сд

69👍1413🌚12💔7

20 Aug 2025, 13:06 UTC≈29,900 views266 reactions5 Starsread 22 September 2026
Photo

Недавно мы вместе с eSIM Plus запустили пет-проект в коллаборации с Nicegram — DEGENPHONE. Это NFT-виртуальные номера на TON блокчейне. Первые 1000 номеров мы раздали через пул по цене 100 TON за номер, и пул закрылся за 8 минут. Для нас это был неожиданно быстрый и очень приятный успех на самой ранней стадии. Обычно я привык, что приходится долго «трахаться», прежде чем проект взлетит. А тут — с первого касания, и

172👍35🔥26🐳15😁10🌚5🤡3

21 Jul 2025, 16:14 UTC≈22,300 views107 reactionsread 22 September 2026
Photo

На днях поделился в сторис занятной историей. В личку постучалась милая сейлз из переводческой фирмы: «Давайте переведём ваш контент». Отвечаю: «Спасибо, но мы давно пользуемся ИИ-переводом. Подумайте о смене профессии — клиентов скоро не останется». Пост зацепил нерв переводчиков. Полетели комментарии: «ИИ не справится с медициной и наукой», «живой нюанс незаменим» и прочее-прочее. Я лишь улыбнулся — спорить не ви

56🔥2113😁11👍6

2 Feb 2025, 00:57 UTC≈23,400 views116 reactions2 Starsread 22 September 2026

AI-агенты, которые упрощают жизнь!🤖 Недавно сделал себе телеграм-бота — @AtomindAI 👾, подключенного сразу к топовым AI-моделям (DeepSeek, OpenAI, Claude, Gemini). Он генерирует картинки, читает PDF, вытаскивает текст с изображений. Но больше всего нравится работа с голосовыми — можно надиктовать идею на прогулке, а бот превратит её в структурированные мысли. Удобно! Вчера пошёл дальше и за сутки написал ещё одного

👍5243🔥11🤯7🌚21

9 Oct 2024, 13:06 UTC≈17,700 views102 reactions7 Starsread 22 September 2026
Photo

🏆 Две Нобелевские премии за вклад в развитие искусственного интеллекта! Вчера Нобелевская премия по физике 2024 года была вручена Джону Хопфилду и Джеффри Хинтону за их достижения в области нейронных сетей. Хопфилд разработал ассоциативную память, а Хинтон создал Болцмановскую машину, что стало прорывом в машинном обучении. 🤖 Сегодня Нобелевская премия по химии присуждена Дэвиду Бейкеру, Демису Хассабису и Джону Дж

32🔥28👍23😍9🤡82

11 Sept 2024, 09:56 UTC≈13,200 views65 reactions2 Starsread 22 September 2026
Photo

Много лет RememBear был моим верным помощником в управлении паролями. В прошлом году они объявили о прекращении работы, и хотя я продолжаю им пользоваться, остается только гадать, когда их облако перестанет работать. Поэтому я начал искать замену для удобного управления паролями на всех устройствах, с возможностью экспорта и другими полезными функциями. Так я нашел Bitwarden. 🔐 Я перенес все свои пароли, настроил до

31👍16🔥94🤡3💔2

29 May 2024, 19:40 UTC≈10,000 views61 reactionsread 22 September 2026

Как справляться со стрессом на работе: уроки из реальной истории Сегодня наткнулся на печальную историю со-основателя стартапа Onyx, Джеймса Хатиблу. Он жил своим любимым проектом, создавал уникальные мотоциклы, но бизнес его погубил: уход сооснователя, неудачные партнеры, долги и кредиторы привели к проблемам со здоровьем и, в итоге, к смерти. 😥 К сожалению, это не уникальная история, когда работа в прямом смысле

👍28272🔥2🤯1😁1

28 May 2024, 23:00 UTC≈7,150 views51 reactionsread 22 September 2026
Photo

ИИ в Медицине, что нового Привет, друзья! Это Сергей Шелег, и я рад видеть вас на канале Ше-Ля-Ви. Здесь я делюсь своими мыслями о стартапах, ИИ, веб3-технологиях и других крутых достижениях человечества. Сегодня у нас на повестке дня — как искусственный интеллект (ИИ) влияет на наше долголетие. ИИ и Долголетие: Горячая Тема Когда мы говорим об ИИ, чаще всего слышим о способах сгенерировать новую ИИ-аватарку или с

👍2624🔥1

Showing the 11 most recent of 11 posts we hold for @She_La_Ve. 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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Ше-Ля-Ви | Спросите Шелега 🙋🏻‍♂️” (@She_La_Ve), 74,759 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/She_La_Ve.

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.