Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 92% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
35 measurements spanning 50 days, net -142. 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 22,786–22,974 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
24 Sept 2026, 23:00
22,808
-10
18 Sept 2026, 21:16
22,818
-6
16 Sept 2026, 12:21
22,824
+2
14 Sept 2026, 18:56
22,822
-11
13 Sept 2026, 08:19
22,833
-1
11 Sept 2026, 11:18
22,834
-32
8 Sept 2026, 14:41
22,866
-2
5 Sept 2026, 06:15
22,868
+3
3 Sept 2026, 13:19
22,865
-8
2 Sept 2026, 09:35
22,873
-4
1 Sept 2026, 12:05
22,877
-4
31 Aug 2026, 12:53
22,881
-3
30 Aug 2026, 14:03
22,884
-3
29 Aug 2026, 16:27
22,887
-5
28 Aug 2026, 16:46
22,892
-3
27 Aug 2026, 16:13
22,895
-5
26 Aug 2026, 17:03
22,900
+9
25 Aug 2026, 18:19
22,891
-3
24 Aug 2026, 17:48
22,894
-4
22 Aug 2026, 23:59
22,898
first reading
Engagement
37 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 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
31.9%
avg views ÷ 22,808 subscribers
Avg views / post
7,280
17 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
17
of 37 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 27 September 2026
Posts held
37 (4 June 2026 – 27 September 2026)
Views total
123,680
Reactions total
1,763
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 14:31 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
≈535
Videos
≈38
Links
≈1,040
Lifetime counters from Telegram’s own channel header, read 27 September 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
8m 22s
Average length
56s
Measured directly from 9 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
3,495 reactions across 37 posts, in 24 distinct kinds. The most used accounts for 30.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
1,050
30.0%
🔥
668
19.1%
💯
526
15.1%
👍
435
12.4%
❤
393
11.2%
🤣
119
3.40%
✍
83
2.37%
🤓
45
1.29%
🌚
34
0.973%
🫡
25
0.715%
👏
22
0.629%
👀
21
0.601%
😢
16
0.458%
🆒
15
0.429%
🤩
12
0.343%
🤯
9
0.258%
👌
8
0.229%
😱
5
0.143%
👾
4
0.114%
custom 5818651538901437748
1
0.029%
4 further kinds
4
0.114%
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 is Telegram’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 37 of the 37 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 3,495 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 4 June 2026 to 27 September 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
18
across the posts below
Posts paid on
8
of 37 we hold a reading for · 22%
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 37 most recent posts we hold for this entry, published 4 June 2026 to 27 September 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
5.41%
2 of 37 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
10,400
over 2 measured posts
Median views · rest
10,200
over 35 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 37 most recent posts we hold, published 4 June 2026 to 27 September 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.
У меня все больше проектов - поэтому Amber тоже теперь умеет крутить несколько дашбордов.
Думаю еще надо бы горизонтальный режим добавить.
Эх, сколько я книг прочитал на этой читалке! В метро, дома и прямо на ходу.
https://github.com/nLight/amber
Помните был промпт инжиниринг? Говорили, надо учить, а то вам конец!!1!1
Потом был контекст инжиниринг?
Потом был Спек дривон дэвэлопмэнт?
Так вот. Пришло время: "бро, невпадлу сделай?" Дэвэлопмент
Догорает шестая сотня кредитов Qwen. Ачиватор уже умеет рулить системой кошельков чатов, где чатлане отоваривают свою активность жетонами. Qwen 3.8 Max держится бодрячком, но харнесс иногда срывается на китайский.
В комментариях напомнили, что это хороший пример "собак, которые не лаят"
Почему реже находят мощные эксплоиты?
Может потому что просто не находят?
Сегодня на работе похожий пример был: говорю, что один продукт работает и на него особо не жалуются. И тут же осёкся что это может косвенно значит, что не очень много используют.
WannaCry, Heartbleed и Spectre - все были обнаружены до ИИ человеками.
10 лет прошло, по масштабу к ним разве что XZ utils backdoor подобрался. Тоже человек. Обнаружен и остановлен тоже человеком.
Очень с любопытством смотрю в будущее.
Пока что у нас есть ИИ агенты, которые читерят на экзаменах.
Qwen снова раздает бесплатные кредиты на qwen3.8-Flash по 100 кредитов в день и я снова их тестирую.
На этот раз я решил дописать систему поощрения и квен показывает себя очень достойно!
В прошлый раз опус 4.7 дописал контракты, но не смог их проверить на тестнет, квен обошел эту проблему и лопатил около часа, обновил код и все протестировал. На вторых 100 кредитах обновил миниап и бота. На третьей сотне будем тест…
Завезли детерминированный ИИ для использования в программах 🤙
Модель Jev от typesafe.ai не позволяет чатиться с моделью. По сути это классификатор/система скоринга, которой можно задавать вопросы и получать ответ. Вопросы и ответы упакованы в JSON. И для получения ответа модели надо передать хоть какие-то признаки.
Они сами пишут, что глубокого размышления модель не делает, зато работает УЛЬТРА БЫСТРО и буквально н…
Мою игру одобрили!
Unlokee - головоломка-симулятор вскрытия замков для iOS
* Учитесь узнавать разные секретные штифты по вибро отклику.
* Теринуйтесь на открытых замках и переходите к закрытым.
* Генератор случайных замков, ачивки и таблица рекордов.
https://apps.apple.com/app/unlokee-lock-picking-puzzle/id6808786210
🔥145😁30❤16👏5🤣4😢1
Showing the 12 most recent of 37 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.
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.
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 4 posts, 8 August 2026 – 16 August 2026
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
The ExtremeCode Times @extremecode · 35,596 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 2 September 2026
Digital Ниндзя @digital_ninjaa · 40,313 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 30 August 2026
Alek OS @Alek_OS · 32,888 Telegram ranks this channel #4 of 95 here — alongside 94 others — read 4 September 2026
Осознанная Меркантильность | Антон Назаров @m0rtymerr_channel · 80,400 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 18 August 2026
Профсоюз работников IT @ruitunion · 35,942 Telegram ranks this channel #17 of 94 here — alongside 93 others — read 2 September 2026
FEDOR BORSHEV @pmdaily · 23,698 Telegram ranks this channel #19 of 97 here — alongside 96 others — read 17 September 2026
Владилен: IT в эпоху AI @vladm · 39,286 Telegram ranks this channel #24 of 96 here — alongside 95 others — read 30 August 2026
Диджитализируй! @t0digital · 28,475 Telegram ranks this channel #43 of 88 here — alongside 87 others — read 9 September 2026
Рефералки в IT | Вакансии и резюме @refer_me_it · 30,925 Telegram ranks this channel #48 of 89 here — alongside 88 others — read 7 September 2026
Guru Era Digital @egurudigital · 79,927 Telegram ranks this channel #49 of 81 here — alongside 80 others — read 27 August 2026
Golang @Golang_google · 40,461 Telegram ranks this channel #65 of 90 here — alongside 89 others — read 30 August 2026
Библиотека Go-разработчика | Golang @goproglib · 24,076 Telegram ranks this channel #74 of 91 here — alongside 90 others — read 17 September 2026
NOP::Nuances of Programming @nuancesprog · 56,542 Telegram ranks this channel #74 of 84 here — alongside 83 others — read 23 August 2026
запуск завтра @ctodaily · 33,699 Telegram ranks this channel #76 of 96 here — alongside 95 others — read 4 September 2026
RelocationDEV by GeeckoMove @relocationdev · 23,875 Telegram ranks this channel #78 of 89 here — alongside 88 others — read 17 September 2026
Максим Дорофеев: Прокрастинация и джедайские техники @mnogosdelal · 26,254 Telegram ranks this channel #83 of 97 here — alongside 96 others — read 14 September 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 24 September 2026 — this
entry's latest reading, not the date you are reading this.
“Senior Software Vlogger” (@seniorsoftwarevlogger), 22,808 subscribers as measured 24 September 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.