Personal blog — 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 90% 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
36 measurements spanning 45 days, net +587. 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 18,376–20,079 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
19 Sept 2026, 17:39
19,159
-31
17 Sept 2026, 03:16
19,190
-37
15 Sept 2026, 06:15
19,227
-28
13 Sept 2026, 12:57
19,255
-36
11 Sept 2026, 18:16
19,291
-70
9 Sept 2026, 06:01
19,361
-52
5 Sept 2026, 19:00
19,413
-21
3 Sept 2026, 17:16
19,434
-30
2 Sept 2026, 06:13
19,464
-9
1 Sept 2026, 07:43
19,473
-10
31 Aug 2026, 10:36
19,483
-34
30 Aug 2026, 08:45
19,517
-13
29 Aug 2026, 06:13
19,530
-34
28 Aug 2026, 06:13
19,564
-14
27 Aug 2026, 05:23
19,578
-20
26 Aug 2026, 04:43
19,598
-18
25 Aug 2026, 05:13
19,616
-40
24 Aug 2026, 02:27
19,656
-27
22 Aug 2026, 10:27
19,683
-50
21 Aug 2026, 01:03
19,733
first reading
Engagement
42 posts held, back to 19 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
24.0%
avg views ÷ 19,159 subscribers
Avg views / post
4,600
8 posts measured
Reaction rate
0.617%
reactions ÷ views · ER floor
Posts in window
8
of 42 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 1 September 2026
Posts held
42 (19 June 2026 – 1 September 2026)
Views total
36,790
Reactions total
227
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:15 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
781 reactions across 40 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👾
781
100.0%
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 42 of the 42 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 798 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 19 June 2026 to 1 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
7
across the posts below
Posts paid on
4
of 42 we hold a reading for · 10%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sburyi. 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 42 most recent posts we hold for this entry, published 19 June 2026 to 1 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.
Проснулся от «Прекрасного далёка» за окном. Жена сказала, что мне пора в школу, ведь 1 сентября. У меня аж холодок по коже пробежал от всей этой атмосферы праздника 🥶
Слышал, что люди говорят, вот бы снова в школу. Вроде как работать гораздо труднее, чем учиться.
У меня вообще не так. Учёба в школе была невероятно трудной и стрессовой, причём без всякого буллинга и прочего, просто реально бесконечная учёба с домашк…
Абсолютное удовольствие я получаю от первого предложения, которое даёт нам всё для будущей истории. Вот буквально всё — и понимание, о чём это и в каком виде будет подано, и конфликт, и сюжет. В Голливуде это бы назвали идеальным логлайном.
Мой любимый (думаю, догадаетесь, что это):
Проснувшись однажды утром после беспокойного сна, Грегор Замза обнаружил, что он у себя в постели превратился в страшное насекомое.
И…
Сегодня попал в некий диссонанс 👾
С одной стороны, в меня кидали ссылки и отсутствующие подтверждения на тему
да кому нужен твой вайбкодинг, эти твои агенты, тьфу, все это уже давно знают и используют
вроде как надо дальше идти и строить более сложные вещи, а это уже прошлое, это все умеют.
Но я что-то не поверил. По-моему, это какой-то очень узкий взгляд. Как если бы я со своим зрением в районе минус 10 с погреш…
Сейчас расскажу историю, как я вхлам разругался со своим другом, писателем Аль Джу, когда мы пытались делать совместный проект лет 15 назад.
И как я сегодня с ИИ сделал эту штуку за несколько минут.
Итак, шёл какой-то весьма древний год, наверное, 2011-й, 2013-й или вроде того (напомню, в 2012-м был конец света, так что точно не тогда).
Как обычно, мне пришла в голову очередная идея, которую я тут же бросился вопл…
Принёс вам наш собственный курс, по итогам которого у вас будет личная агентная ИИ система с нуля 👾
Ну, или если хотите, это самый базовый и разжёванный до молекул курс по вайбкодингу. Подойдёт для всех, прежде всего ориентация на нулевой, начальный и средний уровни ИИ-знаний. Причём самое интересное, что курс очень гибкий и не имеет значения, с чем вы будете работать: хоть Claude Code, хоть Codex (я на нём проходил…
Тот, кого нельзя называть нейронкам
Похоже, среди вас таких нет. Неделю назад я запустил аукцион невиданной щедрости и вскоре покажу вам результаты (на следующей неделе уже точно). Разошлю каждому, отдам, что называется, в руки, а сюда дам какой-то общий отчёт о проделанной работе.
Вы прислали мне на аудит десятки ваших брендов, и это оч круто. Я сжираю огромное количество токенов, но мне всё равно.
Как сказала бы…
Смерть референса 👾
Меня всегда раздражал референс. Само это понятие — референс, пример, образец, бенчмарк. Помнится, на одном стандартном рабочем месте меня всё время спрашивали про референс.
— Да нет никакого референса, я сам всё придумаю и сделаю, дайте спокойно поработать, — раздражался я.
Нет, нужен референс, отвечали они. Без референса никуда. Референс царь и бок.
Да, действительно, трудно что-то сделать без…
Сейчас будет небольшая история борьбы с внутренним дедом 👴
Итак, лет 15 я работал в основном за ноутбуком, но в прошлом году объёмы трудов пошли такие, что глаза перестали вывозить. На новогодних праздниках я купил себе комфортный большой монитор, подключил к нему ноут и радовался жизни. Деления на монитора на 2-3 экрана мне вполне хватало + рядом всегда смартфон.
И тут в беседе с небезызвестным в наших кругах Игор…
Ответы ИИ — новая Википедия 👾
Во вторую я пока не попал, но знаю примеры, как туда попадали, так скажем, с курьёзом
(тааак я хотел написать короткий пост-мысль, но тут же вспомнил историю и понеслась...)
К нам в редакцию часто заходили разнообразные известные личности: спортсмены, актёры, бандиты. И несколько раз захаживал один очень востребованный актёр, чтобы править интервью. Конечно, имя его я называть не буду…
А как всё-таки правильно?
Гемини
Джемини
Джеминай
И куда ставится ударение
Если честно, у меня ощущение, что я заколхозил и всё это время говорил неправильно 👾
Сейчас будет аукцион невиданной щедрости 👾
Неделю назад я выступал на ИИ форуме, рассказывал про то, как попасть в ответы нейросетей и улучшить ИИ видимость (свою, бренда, компании, зловещей корпорации Антропик и так далее).
Вам я уже об этом рассказывал — как интуитивными и бесплатными способами повысил свой балл ИИ видимости за месяц на 10+ баллов (а всего их 100) и решил, что дальше буду двигаться уже продуманно…
Мало кто обратил внимание на историю, близкую к апокалипсису, случившуюся на этой неделе.
Подробности мне прислал публицист Константин Степанов, с которым мы в июне подробно обсудили ИИ повестку в самом сердце Петербурга.
Суть в чём. Гении из британского AI Security Institute (AISI) решили провести эксперимент. В цифровой песочнице, из которой как бы не выбраться, они натравили ИИ хакеров (свежие модели Sol и Mytho…
👾34
Showing the 12 most recent of 42 posts we hold for @sburyi. 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.
Posts edited after publishing
@sburyi edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
14 August 2026
Most recent edit
1 September 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 145%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 42 most recent posts we hold, published 19 June 2026 to 1 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 8 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.
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.
Tips AI | IT & AI @tips_ai · 25,376 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 14 September 2026
Силиконовый Мешок @prompt_design · 85,657 Telegram ranks this channel #3 of 96 here — alongside 95 others — read 18 August 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,400 Telegram ranks this channel #4 of 96 here — alongside 95 others — read 18 September 2026
Технологии | Нейросети | Боты @aiaiai · 176,423 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 12 August 2026
CyberYozh AI Security @CyberYozh_AI_security · 26,576 Telegram ranks this channel #17 of 91 here — alongside 90 others — read 12 September 2026
Neurogen @neurogen_news · 22,930 Telegram ranks this channel #20 of 88 here — alongside 87 others — read 19 September 2026
e/acc @cryptoEssay · 62,598 Telegram ranks this channel #20 of 96 here — alongside 95 others — read 21 August 2026
Метаверсище и ИИще @cgevent · 52,361 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 25 August 2026
Ai molodca @strangedalle · 46,847 Telegram ranks this channel #22 of 94 here — alongside 93 others — read 27 August 2026
Нейроскептик @neuroskep · 29,484 Telegram ranks this channel #30 of 90 here — alongside 89 others — read 8 September 2026
NeuroADEPT @neuroadepts · 41,375 Telegram ranks this channel #31 of 85 here — alongside 84 others — read 29 August 2026
ИИ Представляет @iirepresent · 120,362 Telegram ranks this channel #37 of 86 here — alongside 85 others — read 23 August 2026
Смотри, Морозов и ИИ @mmmorozov · 61,416 Telegram ranks this channel #38 of 96 here — alongside 95 others — read 23 August 2026
Serge_AI 1.0 @serge_ai · 57,484 Telegram ranks this channel #40 of 99 here — alongside 98 others — read 23 August 2026
🟡NeuroGraph @neyr0graph · 34,435 Telegram ranks this channel #46 of 90 here — alongside 89 others — read 3 September 2026
Lama AI @lama_channel_gpt · 24,736 Telegram ranks this channel #50 of 90 here — alongside 89 others — read 15 September 2026
PROAI @pro_ai_news · 90,512 Telegram ranks this channel #50 of 92 here — alongside 91 others — read 16 August 2026
SYNTX FAMILY @syntxfamily · 323,728 Telegram ranks this channel #62 of 93 here — alongside 92 others — read 22 August 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 40,932 Telegram ranks this channel #63 of 94 here — alongside 93 others — read 29 August 2026
Sber AI @SberAIScience · 27,279 Telegram ranks this channel #68 of 95 here — alongside 94 others — read 10 September 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney @neural_houses · 44,640 Telegram ranks this channel #82 of 92 here — alongside 91 others — read 28 August 2026
This channel appears in 21 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Бурый” (@sburyi), 19,159 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/sburyi.
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.