Telegram RegisterThe public register of Telegram

Channel

S0ER

@softwareengineervlog

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

10,446subscribers

+5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001131950102
TypeChannel
Username@softwareengineervlog
CreatedBetween 1 June 2017 and 31 July 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/softwareengineervlog

Growth

10,44110,44610,443.57 August 2026 — 10,441 subscribers7 August 2026 — 10,441 subscribers10 August 2026 — 10,442 subscribers11 August 2026 — 10,443 subscribers12 August 2026 — 10,446 subscribers7 August 202612 August 2026
5 measurements spanning 5 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 10,440–10,447 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:2410,446+3
11 Aug 2026, 16:2610,443+1
10 Aug 2026, 18:1710,442+1
7 Aug 2026, 11:2810,441no change
7 Aug 2026, 09:4510,441first reading

Engagement

20 posts held, back to 26 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
43.6%
avg views ÷ 10,446 subscribers
Avg views / post
4,560
8 posts measured
Reaction rate
1.24%
reactions ÷ views · ER floor
Posts in window
8
of 20 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 6 August 2026
Posts held20 (26 March 20266 August 2026)
Views total36,470
Reactions total452
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 14:05 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
30s
Average length
30s

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

1,007 reactions across 19 posts, in 11 distinct kinds. The most used accounts for 43.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍44043.7%
custom 521981900632780258212512.4%
👎10110.0%
878.64%
😁848.34%
custom 5255742984669908154646.36%
🔥504.97%
👀323.18%
👌131.29%
🤝60.596%
👏50.497%

Custom emoji. 2 of the rows above are 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 counts beside them areTelegram’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 19 of the 20 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 1,007reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 26 March 2026 to 6 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
12
across the posts below
Posts paid on
7
of 19 we hold a reading for · 37%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @softwareengineervlog. 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 20 most recent posts we hold for this entry, published 26 March 2026 to 6 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

6 Aug 2026, 00:09 UTC≈2,320 views75 reactionsread 12 August 2026
Forwarded from @xor_journalVideo

Полезное: разраб сделал интерактивный мануал, который по шагам показывает, что происходит после нажатия Enter в адресной строке браузера. Внутри прям весь путь запроса: от интерпретации ввода и DNS до TLS, HTTP и рендеринга страницы. Всего 16 этапов и 124 подшага с анимациями и объяснениями. И да — всё на русском. Разбираемся 👌 @xor_journal

👍58🔥152

5 Aug 2026, 05:37 UTC≈2,630 views72 reactionsread 12 August 2026
Forwarded from @soer_live

Ты ненастоящий программист! Это происходит снова и снова, и каждый раз одинаково. Я начал свою карьеру, когда уже были языки высокого уровня, но ООП еще только набирал обороты. Несмотря на то что новая парадигма быстор становилась мейнстримом и нужно было учиться новому, не утихали разговоры о том, что ООП никогда не заменит структурный подход, потому что «медленно», «сложно», «бессмысленно» и все «настоящие» програ

👍701👏1

27 Jul 2026, 09:30 UTC≈4,720 views47 reactionsread 12 August 2026

Внимание, скам! Появился бот который выдает себя за бота моего канала. Я НИЧЕГО ЧЕРЕЗ БОТОВ НИКОМУ НЕ ПРОДАЮ. Жалуйтесь на скам если вам прелитит предложение на скидку от бота в телеге.

😁22👍14👌8👀3

25 Jul 2026, 09:59 UTC≈5,260 views38 reactions1 Starread 12 August 2026

У Сбера есть интересный whitepaper где он описывает технологию разработки продукта с помощью агентных циклов. Можно сколько угодно не любить корпоратов, но игнорировать тренд, который формируется у нас на глазах - это просто глупо. Хотим мы этого или нет, но основой работы для инженеров - становится архитектура агентных циклов, умение выстраивать процессы, делать оценку качества, вносить и контролировать метрики ка

👍19👎161👌1👏1

25 Jul 2026, 01:06 UTC≈5,090 views89 reactions1 Starread 12 August 2026

Закончилась эпоха Недавно Дядюшка Боб (автор книг "Чистый код", "Чистая архитектура" и т.д.) заявил, что вообще не читает код, который пишет LLM, вместо этого он использует ограничения в виде автоматизированных тестов и других проверок. Подобных заявлений с каждым днем становится все больше и количество будет только расти. Можно возразить, мол "а как же качество?". На самом деле за последние два года качество генер

👎39👍28👀105custom 52557429846699081544custom 52198190063278025823

23 Jul 2026, 04:17 UTC≈4,520 views42 reactionsread 12 August 2026
Photo

Как же больно использовать API вызовы для Fable 5. Это стата из OpenCode Zen, у меня для ревью спеки используется Fable, а для написании спеки в части программных интерфейсов Kimi 2.7, на то чтобы Fable дал несколько замечаний улетает 4-5$ (по сути это один промпт). Другими словами - хочешь задать вопрос Fable плати 5$. Был бы я ИИ, зарабатывал бы на ответах в чате.

😁411

20 Jul 2026, 23:04 UTC≈5,450 views30 reactionsread 12 August 2026

Для того чтобы погонять Fable 5, пришлось вернуть подписку на Клода. В целом чувствуется, что модель сильнее Opus 4.8 (это проявляется в мелких деталях, подробнее писал в ИИ-лаборатории нашего клуба), но глобально ничего не меняется. Но вот что меня поразило, так это мои ощущения от использования Claude Code: как же я отвык от human in the loop, сидеть и постоянно контролировать - это не мое. У меня сейчас для рабо

👀16🔥6custom 521981900632780258261custom 52557429846699081541

15 Jul 2026, 04:09 UTC≈6,480 views59 reactions1 Starread 12 August 2026

Отдельно хочу про "агентные циклы" (Loop Engineering) поговорить, этот термин ввел Андрей Карпаты в своих выступлениях. Это интересная механика, которую я примерно полгода назад пытался использовать в своем оркестраторе. Идея в том, чтобы не говорить ИИ, что делать конкретно, а вместо этого выстроить цикл постепенного написания и улучшения кода. Эдакий эволюционный подход. На самом деле все, кто серьезно занимаются

👍42custom 52557429846699081547🔥64

9 Jul 2026, 04:42 UTC≈6,860 views108 reactions5 Starsread 12 August 2026

ИИ должен был помочь людям выполнять их работу лучше, а вместо этого приводит к усталости и выгоранию. Очень хорошо прочувствовал эту проблему на себе. Работаю с ИИ каждый день: формирую пул заданий, загоняю в оркестратор (это моя агентная система), через несколько часов проверяю сделанное, собираю список правок, снова запускаю агентную систему - и так по кругу. Проблема в том, что циклов исправления очень много. П

👍6624custom 52198190063278025827🔥4👀3👌3😁1

4 Jul 2026, 01:22 UTC≈5,620 views22 reactionsread 12 August 2026
Forwarded from @tired_glebmikheevPhoto

А как у вас обстоят дела с агентами? Привет, испугался? Не бойся, я друг! Потрать пять минут, пройди опросник и расскажи про свое отношение, опыт и эффект от использования агентов. И поделись со своими друзьями, пусть они тоже прокликают. Я хочу собрать картинку, как покажет статус внедрения агентных практик в индустрии. С одной стороны когда ты общаешься с друзьями, кажется — ну вот оно, всё. Будущее безвозвратно

👎13👍6custom 52557429846699081542🔥1

4 Jul 2026, 00:34 UTC≈5,030 views12 reactionsread 12 August 2026
Forwarded from @soer_live

Говорить, что ИИ заменит человека, так же как говорить, что калькулятор заменит математика Суть метафоры понятна, но ирония в том, что сама метафора подтверждает мысль, что придется конкурировать с ИИ на уровне кода, но не архитектуры. 1. Математик не конкурирует с калькулятором, просто потому что математик - это скорее архитектор, а не кодер. Он работает с теоремами, абстракциями, доказательствами, а не считает, ч

👍12

4 Jul 2026, 00:34 UTC≈4,880 views23 reactionsread 12 August 2026
Forwarded from @soer_live

На мой взгляд видео уже устарело. Могу согласиться, что большинство моделей не могут в хорошую архитектуру. Но стоит попробовать новейшие модели - GLM-5.2 или топовые Клода, как понимаешь, что архитектуру он делает лучше, чем большинство разработчиков. Это очень опасное заблуждение, которое возникает из-за того, что на уровне кода (одного приложения) ИИ может выдавать результат, который работатет (проходит тесты). А

12👍9custom 52557429846699081542

Showing the 12 most recent of 20 posts we hold for @softwareengineervlog. 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 — 356,491 of 1,151,006entries 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 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.

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.

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.

“S0ER” (@softwareengineervlog), 10,446 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/softwareengineervlog.

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.