8 measurements spanning 21 days, net +1,025. 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 318–1,652 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Aug 2026, 21:08
1,498
+19
25 Aug 2026, 23:03
1,479
+4
22 Aug 2026, 22:26
1,475
+54
19 Aug 2026, 04:55
1,421
+153
15 Aug 2026, 18:36
1,268
+796
8 Aug 2026, 09:45
472
-1
8 Aug 2026, 04:35
473
no change
7 Aug 2026, 12:11
473
first reading
Engagement
19 posts held, back to 10 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
8.86%
avg views ÷ 1,498 subscribers
Avg views / post
133
8 posts measured
Reaction rate
4.52%
reactions ÷ views · ER floor
Posts in window
8
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
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
19 (10 July 2026 – 7 August 2026)
Views total
1,062
Reactions total
48
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 04:35 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
103 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 35.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
37
35.9%
❤
36
35.0%
🔥
10
9.71%
👍
9
8.74%
💅
5
4.85%
💯
3
2.91%
🍓
2
1.94%
⚡
1
0.971%
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 18 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 103reactions 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 10 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
1
across the posts below
Posts paid on
1
of 18 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @goduniblog. 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 10 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.
🥳 unihttp-openapi-generator v0.2.0
выпустил сейчас релиз опенапи генератора, изменения:
– добавлен relator #3 by @kolo_id
– добавлен режим наследования и описания у боди параметров #5 by @K1rLes
– добавлена настройка генерации .pyi стабов
– поправлены ошибки с отсутствием раффа и майпая у генератора
– в документацию добавлено упоминание скиллов юнихттп
поздравляю @K1rLes и @kolo_id с первыми пр в юнихттп опенапи …
у клод кода вышла классная фича, которую в моем инфопузыре кажется все пропустили
https://code.claude.com/docs/en/self-hosted-environments
кратко говоря: вы можете поднять клода у себя на машине, и работать с ним из любого клиента клода (десктоп / веб / мобильный)
от ремоут контроля это отличается тем, что это не на одну конкретную сессию, а в принципе раннер клода у вас в вашей инфраструктуре
из минусов: актуаль…
недавно слопус мне 28 часов одну задачку в полностью автономном режиме выполнял, такое ожидание ничем иначе вайбкуколдинга не назвать
мой курс. купить.
👍 чат канала | 👀 вернуть котят на канале
если кстати есть идеи, на что можно потратить эти лимиты – с радостью принимаю идеи в комментарии / лс
например, фича реквесты по моим опенсорсным проектам
👍 чат канала | 👀 вернуть котят на канале
🥳 unihttp v0.3.0
Только что выпустил 0.3.0. Люди говорят, это лучшая версия юнихттп в истории. Многие плачут. Сильные мужчины подходят ко мне со слезами на глазах и говорят: «сэр, этот релиз прекрасен». И знаете что? Они правы.
– Скиллы для создания клиентов на юнихттп для ваших слоп-машин. Ваш ИИ теперь пишет клиенты. Не идеально, но лучше, чем у других. Гораздо лучше.
– urllib-бэкенд #11 by @Heddle. Никто не вер…
random thoughts
с нейронками стало сильно проще пилить свои пет-проекты, которые даже если ты начинал писать руками – все равно забрасывал
я думаю, что на это повлияло то, что на разработку через эйяй уходит в разы меньше ментальных ресурсов (но есть нюанс) + активного времени
раньше мои идеи/петы умирали в течении недели, а сейчас уже почти два месяца пилю проект с клодом, однако все равно уже сильно ментально ус…
как не залутать бан в нейронках
усредненный гайд для чатжопы, клодуса слопуса и прочих
1) всегда используйте один и тот же личный айпи
пояснение про личный айпи – когда вы сидите через какой-то квн, вы делите выходной айпишник с всеми, кто сидит через него. собственно, вероятность того, что никто кроме вас не сидит в той же нейронке – ничтожно мала
2) использовать одну и ту же загран карту для оплаты и держать на…
оказывается, судя по данным ccusage, я за последние 32 дня потратил 10 миллиардов токенов
по ценам апи – это было бы 8.2к баксов, но я плачу всего лишь 100$ подписку
мой курс. купить
👍 чат канала | 👀 сохранить котят на канале
❤4
Showing the 12 most recent of 19 posts we hold for @goduniblog. 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.
Citation-graph rank
Citation-graph rank — 716,627 of 1,627,445entries 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.
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.
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 28 August 2026 — this
entry's latest reading, not the date you are reading this.
“римская империя агентской инженерии” (@goduniblog), 1,498 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/goduniblog.
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.