Telegram RegisterThe public register of Telegram

Channel

ML Baldini • Nikita Boyandin

@ml_baldini

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

1,614subscribers

+3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001939110700
TypeChannel
Username@ml_baldini
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/ml_baldini

Growth

1,6111,6141,612.57 August 2026 — 1,611 subscribers7 August 2026 — 1,611 subscribers11 August 2026 — 1,614 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net +3. 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 1,611–1,614 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 06:581,614+3
7 Aug 2026, 16:481,611no change
7 Aug 2026, 14:131,611first reading

Engagement

13 posts held, back to 14 April 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
45.3%
avg views ÷ 1,614 subscribers
Avg views / post
732
5 posts measured
Reaction rate
3.80%
reactions ÷ views · ER floor
Posts in window
5
of 13 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 31 July 2026
Posts held13 (14 April 202631 July 2026)
Views total3,658
Reactions total139
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:48 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

443 reactions across 13 posts, in 7 distinct kinds. The most used accounts for 73.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
32673.6%
🔥8519.2%
👍132.93%
🥰102.26%
👏71.58%
😇10.226%
🤯10.226%

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 13 of the 13 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 443reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 14 April 2026 to 31 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 13 we hold a reading for · 8%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ml_baldini. 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 13 most recent posts we hold for this entry, published 14 April 2026 to 31 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

31 Jul 2026, 14:02 UTC564 views56 reactions1 Starread 7 August 2026

Как заработать $8 млн, рискнув всего $5 тысяч Представьте самолёт на 300 мест. Авиакомпания продаёт на него 304 билета. На первый взгляд кажется, что кто-то в компании не умеет считать. Но на самом деле это не ошибка, а вполне осознанное решение на основе статистики. Разберём, как здесь работает наш любимый Data Science) По историческим данным, вероятность того, что конкретный пассажир придёт на рейс, составляет

39🔥14🥰3

Signed Nikita Boyandin

29 Jul 2026, 14:04 UTC596 views9 reactionsread 7 August 2026

Топ 6 ошибок в резюме, из-за которых вас могут не позвать на собеседование Можно быть сильным специалистом, но получать мало откликов просто потому, что из резюме это непонятно. HR не будет работать самостоятельно искать ваши сильные стороны. Вот шесть ошибок, на которые я обращаю внимание: 1. Слишком длинное резюме Любое резюме больше 3-4(если вы не лид) страниц вряд ли будет релевантным и будьте уверены, что HR

9

Signed Nikita Boyandin

27 Jul 2026, 15:01 UTC711 views26 reactionsread 7 August 2026
Photo

Как работает агентский RAG? Обычный RAG работает достаточно просто: вопрос -> поиск документов -> ответ LLM Пользователь задаёт вопрос, система находит похожие фрагменты в векторной базе и передаёт их модели. Проблема в том, что никто не проверяет: а найденные документы вообще отвечают на вопрос? Например, пользователь спрашивает: Может ли подрядчик работать удалённо из другой страны? Для нормального ответа могу

20👍4🔥1🥰1

Signed Nikita Boyandin

24 Jul 2026, 15:03 UTC787 views30 reactionsread 7 August 2026

Как меняются собеседования и процесс найма со стороны программистов За последние несколько лет рынок IT сильно поменялся: если раньше ты мог написать open to work на линке и закинуть свое резюме в вакансии, которые нравятся именно тебе, то сейчас поиск работы сильно поменялся и начинается он задолго до того, как ты начинаешь искать вакансии(и вообще в целом начинаешь ли ты их искать?) Шаг 0. Нетворк Как ни странно,

🔥1411👍4🥰1

Signed Nikita Boyandin

20 Jul 2026, 08:01 UTC≈1,000 views18 reactionsread 7 August 2026
Photo

Вчера одна сборная играла в футбол, а вторая старалась не пропустить. Аргентинцы вчера играли скорее в регби, а испанцы должны были забивать еще в основное время, но им не хватало последнего удара. Очень рад, что ЧМ наконец то закончился и можно восстановить свой режим❤️ PS спасибо яндексу и кинопоиску за организацию такого классного просмотра PPS теперь из рандомных вещей дома у меня есть 2 аргентинских флага

9👍5🔥4

Signed Nikita Boyandin

6 Jul 2026, 14:01 UTC≈1,500 views35 reactionsread 7 August 2026

Мои мысли по магистратуре(часть 1)🍺 Примерно летом прошлого кода я начал задумываться, куда поступить, и у меня был ряд вопросов к себе и к магистратуре. PS считаю, что в магистратуру нужно идти сразу после бакалавриата, так как свободное время после условного года простоя потом не захочется разменивать Вопрос к себе: нужно ли оставаться в той же сфере, учиться еще 2 года или же попробовать новую сферу и стать бол

35

Signed Nikita Boyandin

1 Jul 2026, 14:03 UTC≈1,620 views67 reactionsread 7 August 2026
Photo

Вот и всё. Неплохая получилась история. Интересная, весёлая, порой немного грустная, а главное — поучительная… Вот и закончились мои 4 года в финансовом университете и теперь я дипломированный специалист. За это время было всякое: тусовки, бессонные ночи перед контрольными и экзаменами, отношения) Хочется сказать спасибо всем, кто участвовал в становлении меня как человека и специалиста, и надеюсь, что когда-нибудь

55🔥7👏5

Signed Nikita Boyandin

29 Jun 2026, 10:04 UTC≈1,560 views35 reactionsread 7 August 2026
Photo

Я моп или не моп, вот в чем вопрос?)

🔥277🤯1

Signed Nikita Boyandin

5 May 2026, 09:10 UTC≈2,350 views53 reactionsread 7 August 2026
Photo

Вот и 22) Сложно описать этот год словами, еще сложнее что-то загадывать в следующем(но я уже загадал)))). Главное, что у меня получилось собрать окружение тех людей, с которыми мне очень комфортно и на которых я могу положиться, так что не сбавляем обороты и кайфуем от жизни дальше❤️

37🔥10🥰5😇1

Signed Nikita Boyandin

20 Apr 2026, 15:01 UTC≈3,350 views60 reactionsread 7 August 2026

Топ-15 сайтов для подготовке к собесу, когда до него осталось три дня😎 Сейчас очень много подборок ресурсов по подготовке к собесам, но часто, когда времени мало, ты не успеваешь пройти все темы. Поэтому ниже я подготовил свой топ-ресурсов, который будет полезен каждому: 1. Когда сказали, что на кодинге будет мл задачи 2. Быстрые вопросы про LLM и docker в виде карточек 3. Архитектура AI-агентов, когда нужно выделит

52🔥8

Signed Nikita Boyandin

19 Apr 2026, 13:00 UTC≈1,830 views24 reactionsread 7 August 2026
Photo

Photo, posted without a caption

24

Signed Nikita Boyandin

19 Apr 2026, 09:03 UTC≈1,690 views16 reactionsread 7 August 2026
Photo

Photo, posted without a caption

16

Signed Nikita Boyandin

Showing the 12 most recent of 13 posts we hold for @ml_baldini. 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 — 1,062,344 of 1,169,250entries 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.

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

“ML Baldini • Nikita Boyandin” (@ml_baldini), 1,614 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/ml_baldini.

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.