Channel photo removed
Channel
Mikhail Shunin
@mikhail_shunin
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
149subscribers
-2 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 | -1002279994923 |
|---|---|
| Type | Channel |
| Username | @mikhail_shunin |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/mikhail_shunin |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 18:55 | 149 | -2 |
| 8 Aug 2026, 19:46 | 151 | no change |
| 7 Aug 2026, 18:15 | 151 | first reading |
Engagement
18 posts held, back to 21 January 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- —
- no view readings in window
- Avg views / post
- —
- no view readings
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 18 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.
| Window | Rolling 30 days · latest post in window 18 July 2026 |
|---|---|
| Posts held | 18 (21 January 2026 – 18 July 2026) |
| Views total | — |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 19:46 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
- Video runtime
- 2m 57s
- Average length
- 2m 57s
Measured directly from 1 video 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
237 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 26.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 63 | 26.6% | |
| 👍 | 60 | 25.3% | |
| ❤🔥 | 52 | 21.9% | |
| ❤ | 27 | 11.4% | |
| 😁 | 20 | 8.44% | |
| 😈 | 5 | 2.11% | |
| 👏 | 4 | 1.69% | |
| 💘 | 3 | 1.27% | |
| 🐳 | 2 | 0.844% | |
| 🤯 | 1 | 0.422% |
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 17 of the 18 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 237reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 21 January 2026 to 18 July 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
- 1
- across the posts below
- Posts paid on
- 1
- of 17 we hold a reading for · 6%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mikhail_shunin. 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 18 most recent posts we hold for this entry, published 21 January 2026 to 18 July 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
не ждали? Я работал
🔥7👏4😁4😈1
we recorded video to YC again. lets go! 😍🤪
👍7😁7🔥5
Я еще вот думаю как гипотеза когда устану от работы проверить))) Потому что щас модель не доказывает нерешенные математические задачи из за этических норм :) А там доказательства по миллиону баксов стоят некоторые. Может тут есть за что зацепиться, теорему гаусса с нуля не выведет конечно но что попроще думаю легко. Задач полно…)
❤🔥6👍3🔥3
YC буквально говорит: нужен AI-native слой, который помогает понять, что строить, а не только как это кодить. нужно понять как сделать такой слой. а я думал deepTech это сложно!!!
🔥3❤🔥2👍2
как раз - Cursor for PM’s на Spring 2026. Посмотрим что из этого выйдет
❤🔥3👍2❤1🔥1
Сейчас сам глубоко погрузился в системы поиска и генерации идей для стартапов через LLM. Пытаюсь собрать архитектуру AI-дискавери агентов, которые находят проблемы и формулируют идеи. И в процессе многое стало понятно. Главная неожиданность - поиск и генерация идей оказались намного сложнее, чем сама разработка продукта. Причина в том, как работают LLM. По сути они выдают среднестатистическую математику по обучающим…
❤🔥8👍5🔥5
огромное число AI‑стартапов делают красивую надстройку над чужой LLM без уникального IP, данных или workflow, поэтому не имеют моата и легко копируются. Главная проблема стартапа - не разработка. Сделать продукт сегодня относительно просто. Настоящая сложность - найти и точно сформулировать сильную идею. Идея становится главным активом, а реализация - лишь инструментом.
❤3👍1🔥1
Если у тебя нет глубинной самоотдачи от того что делаешь - 12+ часов в день работать не получится. Не потому что сложно, а потому что незачем. Я не умею отдыхать. Буквально. Если у меня есть свободное время, то в 99% ситуаций я думаю о работе. Когда я засыпаю, я думаю о работе. Это не шутка, это просто когда работа и есть ты. Самое некомфортное состояние для меня - ничего не делать. Не усталость, не тревога и неопр…
🔥7❤🔥4👍4💘1😈1
Последние несколько дней строю трейдинг агента управляющего портфелем амер акций Идея простая: LLM как дискреционный трейдер. Не алго с тех-анализ рубильниками - а машина, которая читает рынок, строит pipeline сильных тикеров, планирует entry/SL/TP и сопровождает позиции каждый день после 16:00 ET. На вооружении API Alpaca+News. Уроки из закрытых сделок роутятся обратно в следующий цикл - система учится на своих ош…
❤5👍4😁3😈1
Когда любой школьник может завайбкодить рабочий продукт за выходные, код перестает быть дефицитом. Дефицитом становится другое: увидеть проблему раньше остальных. Сформулировать ее так, чтобы человек сразу узнал себя. Объяснить ценность одной фразой. Делать непрерывный и результативный дискавери. И каждый день проходить этот цикл быстрее конкурентов. В этом сегодня и заключается реальное преимущество. Код - всего лиш…
❤🔥5🔥5👍4
ChatGPT deep research пашет как конь. 🔥500+ поисков за один запрос. Они серьезно улучшили движок - теперь один запрос покрывает порядка 500 источников параллельно. Reddit, Hacker News, Habr, отчеты фондов, профильные форумы - всё в одном проходе. Сам формирует таблицы, mermaid-визуализации, планы запуска с MVP и бюджетом. Бюджеты дичь конечно, но остальное в целом на приемлемом качестве. И каждые несколько месяцев …
❤🔥7👍5😁2💘1😈1
Showing the 12 most recent of 18 posts we hold for @mikhail_shunin. 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
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.
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.
“Mikhail Shunin” (@mikhail_shunin), 149 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/mikhail_shunin.
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.