Telegram RegisterThe public register of Telegram

Channel

Никита Ульшин про IT

@ulshinblog

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

3,187subscribers

-5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001435579392
TypeChannel
Username@ulshinblog
CreatedBetween 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ulshinblog

Growth

3,1873,1923,189.56 August 2026 — 3,192 subscribers6 August 2026 — 3,192 subscribers7 August 2026 — 3,190 subscribers10 August 2026 — 3,191 subscribers12 August 2026 — 3,187 subscribers6 August 202612 August 2026
5 measurements spanning 7 days, net -5. 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 3,186–3,193 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 18:243,187-4
10 Aug 2026, 00:023,191+1
7 Aug 2026, 02:253,190-2
6 Aug 2026, 04:493,192no change
6 Aug 2026, 03:523,192first reading

Engagement

19 posts held, back to 13 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.6%
avg views ÷ 3,187 subscribers
Avg views / post
847
17 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
17
of 19 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 7 August 2026
Posts held19 (13 July 20267 August 2026)
Views total14,395
Reactions total330
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:43 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
31s
Average length
16s

Measured directly from 2 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

353 reactions across 18 posts, in 8 distinct kinds. The most used accounts for 32.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥11332.0%
👍10228.9%
9125.8%
205.67%
💯113.12%
🤣82.27%
🤔41.13%
🤝41.13%

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 19 of the 19 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 399reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 13 July 2026 to 7 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
32
across the posts below
Posts paid on
18
of 19 we hold a reading for · 95%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ulshinblog. 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 19 most recent posts we hold for this entry, published 13 July 2026 to 7 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.

Advertising

Ad load
10.5%
2 of 19 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
426
over 2 measured posts
Median views · rest
809
over 17 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjex2SbV128 July 202628 July 2026
2VtzqwruhL716 August 20266 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 19 most recent posts we hold, published 13 July 2026 to 7 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

7 Aug 2026, 07:30 UTC260 views11 reactions1 Starread 7 August 2026
Photo

Engineering Leadership The Hard Parts by Juan Pablo Buriticá, James Turnbul Название этой книги заставило меня улыбнуться, потому что я искренне сомневаюсь, что в работе руководителя есть «easy parts». В работе руководителя очень много трудностей – кризисы, дедлайны, разгребание бардаков (в некоторых случаях оставленных предыдущим руководителем). И во всём этом нужно сохранять спокойствие и человечность. На чужих у

🔥6👍32

6 Aug 2026, 16:02 UTC426 views6 reactions1 Starread 7 August 2026
Advertisementerid 2VtzqwruhL7Photo

Не знаю как вы, а я уже начинаю планировать программу конф на осень. Расслабленный летний период заканчивается и начинается предновогодний движ! Первая конфа, куда я точно пойду — Avito.Tech.Conf, которая пройдёт 26 сентября в Москве. Это конфа для нас, лидов, управляющих всяким-разным сложным, будь то команды или распределённые системы. В программе конфы: ➡️ доклады ➡️ воркшопы ➡️ мастермайнды ➡️ менторские консу

👍3🔥2💯1

5 Aug 2026, 07:01 UTC495 views19 reactions1 Starread 7 August 2026

Как принимать решения, о которых не придётся жалеть В управлении часто (на самом деле практически никогда) нет решений, которые были бы однозначно хорошими и без побочек. Это только в программировании логика детерминирована и конкретна, в жизни же всё намного сложнее. Иногда из-за всех побочек решение принять может быть непросто. Настолько непросто, что я временами откровенно залипаю между двумя-тремя альтернативам

13👍4💯1🔥1

3 Aug 2026, 06:31 UTC659 views21 reactions1 Starread 7 August 2026

Как закончить спор, в котором оба правы Недавно двое моих коллег крепко зарубились по поводу одного API-контракта. Позиция каждого была понятна, и оба хотели сделать хорошо, только договориться в деталях не могли. А я просто сидел и наблюдал — до определённого момента. Конфликты и споры внутри команды — это нормально и естественно. Как писал Ленсиони в книге «5 пороков команды», если в команде нет конфликтов, то с

👍106🔥31💯1

2 Aug 2026, 09:26 UTC664 views23 reactions1 Starread 7 August 2026
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«Волкодав», Мария Семёнова Я вообще люблю всякую добротную фэнтезятину. Но действительно крутые произведения и циклы встречаются нечасто. Мой эталон (по впечатлениям от чтения) — цикл «Страж» Алексея Пехова. И этот цикл задрал мне планочку настолько высоко, что я долгое время не мог найти что-то хотя бы подобное по эмоциям и интересности чтения. Когда я в прошлый раз размышлял: «А чего бы такого почитать?», то вне

🔥13👍5🤝31💯1

31 Jul 2026, 08:30 UTC672 views15 reactions2 Starsread 7 August 2026
Photo

Практикум «ИнфоСушка»: прочитать меньше, применить больше С глубокого детства система образования вбивает нам в голову, что с любым материалом нужно работать «от корки до корки». Нельзя бросать книгу на середине! И прочитать только две нужные главы тоже нельзя! Если уж взял книгу в руки, то изволь читать от введения до заключения и не пропустить ни буковки. Даже в школе и университете этот подход имел мало смысла.

🔥102👍1💯1🤝1

29 Jul 2026, 09:11 UTC721 views22 reactions1 Starread 7 August 2026

Как научиться замечать свой рост Не знаю как вам, а мне всегда трудно было замечать собственный рост. Я регулярно ловлю ощущение топтания на месте и даже какого-то уныния, что «и так не получается, и вот так не получается». Иногда даже накатывает желание сказать «ну и ладно», как знаменитый котенок из старого советского мультфильма. Означает ли это, что я не расту? Вовсе нет. Просто для того, чтобы заметить свой ро

👍17🔥32

28 Jul 2026, 16:54 UTC682 views9 reactions1 Starread 7 August 2026
Advertisementerid 2SDnjex2SbVVideo

Чем занимается команда разработки операционного продукта в Лавке? Вышел новый выпуск «1х1» с Димой Александровым. Это формат, в котором интервьюер приходит к сотруднику прямо на рабочее место и проводит спидран по его задачам, команде и внутренней кухне Яндекса. Дима пришёл в Яндекс Почту стажёром 17 лет назад, участвовал в запуске Мессенджера, Телемоста и Яндекс Пэя, а сейчас руководит подразделением технологическ

🔥52👍1💯1

27 Jul 2026, 07:09 UTC809 views28 reactions2 Starsread 7 August 2026

Простая техника, которая снижает накал эмоций Недавно я писал обзор на книгу Дэвида Бернса «Терапия настроения». Сама книга мне очень понравилась, и я зацепил из неё несколько практических идей для тестирования. Одна из ключевых идей книги заключается в том, что все наши негативные чувства и состояния вызваны некоторыми мыслями, в которые мы сами же и поверили. Чаще всего эти мысли резко негативны и содержат серьёз

18🔥6👍31

26 Jul 2026, 07:10 UTC776 views12 reactions2 Starsread 7 August 2026
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Когда книга хорошая, но читать её мучительно Выходные — самое время поговорить про хобби и отдых. Одним из моих любимых способов отдыха с раннего детства было и остаётся чтение художественной литературы. Очень помогает разгрузить мозги и просто получить удовольствие. Сегодня я пришёл немножко поныть: мне жутко не повезло на последние несколько прочитанных книг. Они вроде и довольно хороши, и в то же время я не полу

🔥7👍211💯1

24 Jul 2026, 06:35 UTC868 views22 reactions2 Starsread 7 August 2026
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«AI Agents in Action, Second Edition. Intelligent workflows with LLMs, MCP, A2A, and more» by Michael Lanham Агенты — это та штука, которая скоро будет работать в каждом утюге. Сейчас все очень много говорят про то, как программировать с помощью агентов, но на самом деле они могут решать гораздо более широкий спектр задач (и не всегда хорошо, судя по страданиям моих знакомых, которые ищут работу). Я и сам сейчас ру

👍1361💯1🔥1

23 Jul 2026, 06:32 UTC798 views27 reactions2 Starsread 7 August 2026
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Как прошёл практикум «Инфосушка» Примерно неделю назад мы с первой группой завершили практикум с гордым названием «Инфосушка». Я поставил себе амбициозную задачу: передать другим людям свой опыт самообразования и эффективной работы с информацией. Я хотел, чтобы процесс обучения перестал быть монотонным поглощением контента среднего качества и снова начал приносить удовольствие. Скажу честно: мне было откровенно ст

🔥166👍41

Showing the 12 most recent of 19 posts we hold for @ulshinblog. 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 — 39,140 of 1,478,351entries 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.

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.

Mentions

Named by 2 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“Никита Ульшин про IT” (@ulshinblog), 3,187 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ulshinblog.

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.