9 measurements spanning 7 days, net -40. 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 22,903–22,958 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 08:53
22,910
+1
12 Aug 2026, 05:52
22,909
-6
11 Aug 2026, 04:28
22,915
-9
10 Aug 2026, 03:21
22,924
-10
9 Aug 2026, 03:53
22,934
-8
8 Aug 2026, 05:28
22,942
-10
7 Aug 2026, 03:22
22,952
+2
6 Aug 2026, 04:00
22,950
no change
6 Aug 2026, 03:58
22,950
first reading
Engagement
17 posts held, back to 4 June 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
37.2%
avg views ÷ 22,910 subscribers
Avg views / post
8,530
8 posts measured
Reaction rate
1.24%
reactions ÷ views · ER floor
Posts in window
8
of 17 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 9 August 2026
Posts held
17 (4 June 2026 – 9 August 2026)
Views total
68,210
Reactions total
845
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 12:12 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
≈527
Videos
≈31
Links
≈1,030
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
37s
Average length
19s
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
1,465 reactions across 17 posts, in 22 distinct kinds. The most used accounts for 28.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
414
28.3%
👍
280
19.1%
🔥
186
12.7%
❤
176
12.0%
💯
173
11.8%
✍
55
3.75%
🤣
44
3.00%
🤓
33
2.25%
🌚
26
1.77%
🫡
18
1.23%
🤩
11
0.751%
🆒
10
0.683%
👏
10
0.683%
👀
8
0.546%
🤯
8
0.546%
😱
4
0.273%
😢
3
0.205%
👌
2
0.137%
custom 5818651538901437748
1
0.068%
😎
1
0.068%
2 further kinds
2
0.137%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 17 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 1,465reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 4 June 2026 to 9 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
15
across the posts below
Posts paid on
6
of 17 we hold a reading for · 35%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @seniorsoftwarevlogger. 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 17 most recent posts we hold for this entry, published 4 June 2026 to 9 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
11.8%
2 of 17 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
9,170
over 2 measured posts
Median views · rest
12,200
over 15 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.
Measured over the 17 most recent posts we hold, published 4 June 2026 to 9 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.
Гергей пленных не берет. Он вообще в последний год очень жёстко разносит разный булщит. Прямо вскрылся наш родной токсик 🤤
У меня продукт полностью пишет ИИ например. Поэтому у меня реально мозг в раскоряку. С одной стороны для меня это работает, с другой - вижу много примеров как люди жгут токены, число комитов улетает в космос, а пользователи видят только инциденты.
Причем это не "наемный глупенький менеджер", а …
Ваши вопросы к представителям компании на собеседовании - очень важный этап. Он же может стать решающим. Я как то на собеседовании в Мету на менеджера спросил могу ли я уволить всю команду в один день и нанять новую. В те далекие долэйофные годы следующего этапа не последовало. Это был один из вопросов Бугаенко "на менедждера", в Лондон я переезжать не планировал поэтому ради прикола решил спросить. Один раз живем.
…
В прошлом посте я писал как делать не нужно, и как это воспринимается на разных уровнях. Лёха ответил мне на мой вызов и расписал с примерами как делать нужно! Понятное дело что везде есть куча нюансов и всегда всё нужно применять на свою в ситуацию, а не в лоб. Привожу цитату без редактуры.
Читать Лёху можно здесь: https://x.com/mr_mig_by
✂️ - - - - - -
Так, softwarevlogger меня затроллил, и я решил повестись.
О…
Задавать такой вопрос действительно недостаточно, а вот карьерное продвижение тут можно как сломать так и заработать.
Этот вопрос вообще лучше задавать себе, а озвучивать реакцию уже с другой позиции.
Напишу как это воспринимается на разных уровнях, как именно ты становишься тем самым "проблемным" сеньором, хотя ты вроде бы даже часто прав и в целом говоришь правильные вещи.
1. Что ты делаешь как IC / Senior / St…
Есть у меня пятно в биографии. Я же после ВУЗа поступил в аспирантуру, но так как я завалил вступительную философию, то поступить удалось только на платный. Так как я был молод, горяч и горделив, то обучение прямо скажем не задалось и вообще говоря даже не началось.
Оглядываясь назад на то, как я провел это время, лучше бы если бы таки отучился и закончил. По разным причинам. Тем более, что я так или иначе вернулся …
Что-то я чувствую себя как в этом эпизоде.
Я опять проверяю границы агентов.
@softwarevlogger прислал мне репозиторий и сказал: «Я это сделал тремя промптами».
Смотрю — а там идея пересекается с тем, что делаю я. Я просто скормил знания о своём проекте и об этом репозитории и сказал: изучи, сопоставь, а классные идеи, которых у нас нет, — укради. И fabble украл эти идеи, делегировал опусам (я, кстати, до сих пор н…
Как я за $20/мес проект пилю
Сегодня Summit AI Notes это почти 150к строк кода на свифте с тестами, что не включает сайт https://summitnotes.app
Количество строк быстро росло примерно до января. В этот момент проект набирал основные тяжелые фичи. Первые три месяца я был в поиске. В октябре я понял что из этого что-то может получиться. В ноябре у меня был один месяц между работами и я вложился на полную, потому что …
Быть хорошим Staff Engineer сложнее, чем быть хорошим менеджером.
Staff это всегда лидерство без прямого управления. Это про ожидания, что ты увидишь то, чего не увидели другие и придумаешь как это решить и будешь пилить сам большую часть, в то время как тебя постоянно зовут на созвоны.
На вакансию стафф иногда приходят с менеджерских позиций и опыт зачастую не транслируется совсем.
У Kodik проходит хакатон
Формат нетипичный и заточен под полный цикл разработки: формулируешь идею, пилишь MVP и публикуешь на маркетплейсе, где проект можно продавать.
Из условий: разработка проходит в Kodik. Стек свободный.
Если еще не знакомы с Kodik – это первая российская AI-IDE, которая работает как второй разработчик в паре. Сама меняет проект, создает файлы, оптимизирует код.
Отличный повод бесплатно потест…
Очень большое обновление!
• Переработана система назначения спикеров
• 3 колоночная система
• Вложенные папки
• Автостоп записи
• Раздельный по папкам экспорт
• Бета транскрипта в реальном времени
• Запись видео, а не только звука
• И многое другое!
https://summitnotes.app/
❤42🔥20🤣9👍2
Showing the 12 most recent of 17 posts we hold for @seniorsoftwarevlogger. 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 — 157,318 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.
Mentions
Named by 1 registered channel — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@seniorsoftwarevlogger named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@softwarevlogger named in 3 posts, 8 August 2026 – 13 August 2026
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Senior Software Vlogger” (@seniorsoftwarevlogger), 22,910 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/seniorsoftwarevlogger.
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.
