5 measurements spanning 22 days, net +21. 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 904–931 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
29 Aug 2026, 08:16
928
+10
21 Aug 2026, 12:24
918
+5
14 Aug 2026, 22:23
913
+6
8 Aug 2026, 01:02
907
no change
7 Aug 2026, 18:15
907
first reading
Engagement
20 posts held, back to 2 July 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
32.1%
avg views ÷ 928 subscribers
Avg views / post
298
2 posts measured
Reaction rate
4.03%
reactions ÷ views · ER floor
Posts in window
2
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
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
20 (2 July 2026 – 6 August 2026)
Views total
595
Reactions total
24
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 01:02 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
16s
Average length
16s
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
271 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 31.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
86
31.7%
🔥
76
28.0%
❤
67
24.7%
😁
14
5.17%
🤔
12
4.43%
😱
9
3.32%
🌚
4
1.48%
🤝
3
1.11%
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 20 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 271reactions 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 2 July 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
9
across the posts below
Posts paid on
6
of 20 we hold a reading for · 30%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @it_anglerfish. 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 2 July 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.
Meta представила прототип технологии для превращения мыслей в текст
Meta* представила AI-модель Brain2Qwerty v2, позволяющую на основе анализа электрической активности мозга, записанной при помощи магнитоэнцефалографии (МЭГ), воссоздать текст, набираемый пользователем на клавиатуре.
Но точность пока не высока, около 61%, что довольно неплохо.
Так что скоро промты будем набирать силой мысли.
#реакция
Вступай в со…
Изучаю AI-инструментарий для разработки. Часть 1
Давай сразу к выводам:
🔴Базовые подписки не имеют смысла, если вы точно решили освоить инструмент, так как токены улетают в трубу — будь здоров.
🔴Вы должны точно понимать, для чего вам AI-инструментарий, так как для аналитика, QA- или DevOps-инженеров будут свои особенности.
🔴Никакие паттерны для экономии токенов особо не помогают.
🔴AI не настолько ускоряет разработку…
Пробовали ли вычитать кабанчика?
Та самая книга, которую недостаточно прочитать один раз, а надо читать периодически, хотя бы один-два раздела.
Очень хорошо показывает, есть ли эволюция тебя как инженера: чем больше опыта, тем больше понимаешь содержимое.
Но теперь можно не читать!
Книгу завернули в skills для AI агентов
Последний бастион людей пал, милорд.
Ради интереса подключу этот скилл и попрошу еще раз пр…
На всякий случай скажу явно
Отныне игнорировать AI нельзя и надо осваивать инструментарий
Где-то с этого момента, если вы игнорируете AI или пользуетесь только чатами, вы начинаете отставать от рынка.
Теперь тренд устойчив, и инструментарий стабилизировался вокруг экосистемы Claude Code.
На рынке сейчас открытый запрос на владение инструментарием, а если вы менеджер – на навык внедрения AI.
Поэтому, если вы еще …
Моя ошибка: я говорил "размер партиции не зависит от узлов", но это не точно
Когда LLM модель обучалась у Big Russian Boss
(да, самое время для сеанса парного проектирования архитектуры хранения данных)
Гипотеза, как упростить жизнь devops-инженерам
Завернуть способ деплоя приложения в SKILL. Что думаете?
#мнение
Вступай в сообщество IT Удильщика и задавай свои вопросы! Ты всегда сможешь получить совет по актуальным IT-темам!
Штош, мы дошли до точки невозврата (в 2026 году по крайней мере), когда игнорировать AI-лихорадку уже вредно.
Тем более, экосистема более-менее настоялась, а значит пора побороть прокрастинацию и начать разбираться.
Рассказываю шаги своего пути по ускорению разработки.
Шаг 1. Выбор экосистемы
Как выбрать экосистему для AI кодинга? Конечно, загуглить спросить у AI. А нет, погодите-ка, теперь это одно и то же.
И т…
Помните, я писал пост про OpenObserve, аналог Grafana?
Так вот, я его прикрутил к своему проекту с полной поддержкой Open Telemetry (но планирую еще профайлинг добавить).
И он правда в разы лучше Grafana.
Рекомендую все же присмотреться, так как это просто один бинарник и все
Git переписали на Rust
Да, теперь и Git переписали, с версии 2.55.0. И да, как раз вышел его новый релиз.
Я надеюсь кому-то нужны его новые функции, потому что я пользовался совсем уж малым набором функций.
Попроси меня пройти тест по Git или решить задачку, я бессовестно завалюсь.
Как вы считаете, незнание GIt или, еще страшнее, работа с Git через UI (через IDE к примеру), делает разраба не тру?
#реакция
Вступ…
Showing the 12 most recent of 20 posts we hold for @it_anglerfish. 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.
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
@it_anglerfish 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.
@it_aglerfish_chat named in 5 posts, 8 August 2026 – 8 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 29 August 2026 — this
entry's latest reading, not the date you are reading this.
“IT Удильщик by евGEN” (@it_anglerfish), 928 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/it_anglerfish.
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.