Потомственный промпт-инженер и вайбкодер
Сейчас внедряю ИИ в банк, использую ИИ для повышения конверсии в продажах
Основатель сообщества ИИ-экспертов "Акулы"
По всем вопросам @KottAlex
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
Growth
26 measurements spanning 91 days, net -124. 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 7,862–8,035 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
5 Nov 2026, 02:56
7,891
-3
1 Nov 2026, 19:20
7,894
+3
29 Oct 2026, 13:31
7,891
+4
26 Oct 2026, 19:00
7,887
+5
23 Oct 2026, 13:26
7,882
-7
20 Oct 2026, 22:05
7,889
-7
17 Oct 2026, 11:46
7,896
-1
14 Oct 2026, 15:37
7,897
+3
11 Oct 2026, 11:40
7,894
-2
5 Oct 2026, 11:55
7,896
-13
27 Sept 2026, 15:16
7,909
-16
18 Sept 2026, 03:16
7,925
-5
13 Sept 2026, 19:54
7,930
-15
10 Sept 2026, 07:40
7,945
-4
5 Sept 2026, 02:19
7,949
-3
1 Sept 2026, 15:04
7,952
-4
29 Aug 2026, 06:04
7,956
-8
26 Aug 2026, 01:54
7,964
-5
23 Aug 2026, 05:03
7,969
-20
19 Aug 2026, 06:53
7,989
first reading
Engagement
38 posts held, back to 9 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 28 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 7,891 subscribers
Avg views / post
804
1 post measured
Reaction rate
0.498%
reactions ÷ views · ER floor
Posts in window
1
of 38 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 21 October 2026
Posts held
38 (9 June 2026 – 21 October 2026)
Views total
804
Reactions total
4
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 12:19 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
543
Videos
38
Links
424
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
553 reactions across 32 posts, in 8 distinct kinds. The most used accounts for 33.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
185
33.5%
❤
159
28.8%
🔥
148
26.8%
😁
44
7.96%
💯
10
1.81%
👏
3
0.542%
👎
2
0.362%
🤔
2
0.362%
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 33 of the 38 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 553 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 9 June 2026 to 21 October 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
4
across the posts below
Posts paid on
3
of 38 we hold a reading for · 8%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @korenev_ai. 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 38 most recent posts we hold for this entry, published 9 June 2026 to 21 October 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
Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
➡️Вторая память мистера президента и котики
Наткнулся на проект GBrain от Гарри Тана - президента Y Combinator. Он построил его для собственных агентов на базе Клешни и Гермеса, а потом выложил в открытый доступ.
Что такое GBrain?
По сути, это долговременная память для ИИ-агентов. Причем не просто папка с файлами, куда агент складывает результаты работы.
GBrain умеет искать информацию по смыслу, связывать людей, …
➡️Общая память для меня и моих агентов
Лучшее, что я сделал за последнее время для удобства работы с ИИ - связал ЧатЖПТ в телефоне с агентами на компьютере.
Теперь знания у меня свободно циркулируют между системами.
Например, иду гулять, надиктовываю в аппку ЖПТ мысли по проекту, обсуждаю идеи, что-то исследую. По итогам фиксируются уже не километры переписки, а то, что имеет смысл сохранить: текущий контекст прое…
➡️Сначала раскидывал по кучкам, теперь собираю их вместе
Продолжаю экспериментировать с этой грёбаной атомизацией задач. Или уже скорее с обратным процессом - укрупнением.
Много чего переделал и сейчас итоговый принцип в скилле для Гермеса у меня примерно такой (перевел его в понятный человеческий):
1️⃣ Не дроби задачу просто потому, что её можно раздробить.
Одна карточка = одна цельная тема. Внутри спокойно может…
➡️ На каком топливе ездить Гермесу?
Когда начал нормально пользоваться Гермесом, быстро выяснилось, что агентные сценарии умеют очень бодро сжигать токены.
Сначала подключил OpenRouter. Одна рабочая сессия на Гемини Флеше обошлась почти в доллар. Решил посмотреть варианты подешевле.
В итоге пришел к идее использования Дипсика 4.1 Флеш. По многим бенчмаркам он уже рядом с ЖПТ Сол и Опусом 5, а где-то даже их обгоня…
➡️ Корпорация передастов или подзадача для подзадачи и оценка оценки
Похоже, при проектировании архитектуры мы с Чатом ЖПТ немного перестарались с принципом декомпозиции задач и незаметно построили там целую корпорацию стрелочников.
Получился прям полноценный аппарат управления:
Главный агент получает задачу и спускает ее ниже. Там задачу разбивают еще на несколько задач и передают следующим агентам. Те тоже могут…
➡️Кто куда а мы на свадьбу
Как-то так сложилось, что вся моя работа с ИИ живет кусками:
С ЖПТ я что-то обсуждаю в браузере. Клод живет своими сессиями. Скиллы раскиданы по компьютеру. Гермес что-то делает локально. Где-то заметки, где-то идеи, где-то результаты работы.
И почти ничего нормально не циркулирует между ними.
Последней каплей стал прослушанный мною на прогулке подкаст. В нем нашел много полезного и реши…
➡️Наконец понял, зачем мне Hermes!
У меня постепенно накопилась одна проблема - я стал мальчиком на побегушках у ИИ агентов.
Типичный сценарий:
Даю задачу одному агенту. Он что-то делает, потом начинает тупить или зацикливается на одной гипотезе.
Открываю другого:
"Вот задача. Первый что-то фигню делает, посмотри независимо."
Второй находит другой вариант. Иногда передаю результат обратно первому.
Иногда одну и …
➡️Куча постов, что ИИ наконец-то решил теорему Навье-Стокса. Ну офигенно же?
Заживем, братцы!😄
Начал разбираться с логичным вопросом: "и чо?"
Даю трибуну для ЖПТ:
Вообще Навье-Стокс - это не одна теорема, а уравнения, которыми описывают движение жидкостей и газов.
То есть воздух вокруг крыла самолёта, воду вокруг корабля, потоки в турбинах и двигателях, атмосферу, океан, дым, кровь в сосудах и вообще почти всё, …
➡️Как начать вайбкодить лучше?
Группа ИТ/ИИ мудрецов на стриме обсуждала разработку с ИИ-агентами.
Я вытащил с ЖПТ из него несколько вещей, которые можно довольно быстро применить у себя. Текст очистил от всякой бесовщины типа "эвалы", "целевые функции", "проекции" и прочих терминов, после употребления которых нужно мыть рот с мылом😄
Итак, как вайбкодить лучше:
1️⃣ Проверять описание скилла.
Именно по нему агент…
➡️Мое открытие дня:
Просить ЛЛМ делать экстрацию данных (Extract) вместо саммаризации.
Спустя время понял, что я так давно и делаю😄
Для извлечения смыслов из больших текстов я прошу модель выделить 100-200 фактов/ тезисов и сгруппировать их по смыслу. Ну а потом из этих групп что угодно можно лепить далее.
Повторно открыл открытое😄
Последние 3 текста (и не только их😄) собирал из транскрибаций вместе с ЖПТ. Ибо чо пересказывать самому, если текст вместе с ЛЛМкой быстрее.
Ясно что акценты сам расставлял и ключевые мысли. Как вам?
Задолбал нейрослоп. Ты то куда??38%
Текст норм, важна суть43%
Так даже лучше - завязывай сам писать3%
Будь консервантом - лучший текст полностью руками автора создается18%
Все вы вайбкодеры одинаковые. Хоть бы постыдился20%
Словил много инсайтов, делись еще!9%
The shares total 131%, 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.
Showing the 12 most recent of 38 posts we hold for @korenev_ai. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Последние 3 текста (и не только их😄) собирал из транскрибаций вместе с ЖПТ. Ибо чо пересказывать самому, если текст вместе с ЛЛМкой быстрее.
Ясно что акценты сам расставлял и ключевые мысли. Как вам?
Задолбал нейрослоп. Ты то куда??38%
Текст норм, важна суть43%
Так даже лучше - завязывай сам писать3%
Будь консервантом - лучший текст полностью руками автора создается18%
Все вы вайбкодеры одинаковые. Хоть бы постыдился20%
Словил много инсайтов, делись еще!9%
The shares total 131%, 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.
The shares total 143%, 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 38 most recent posts we hold, published 9 June 2026 to 21 October 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 3 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.
Анжела Петкова | ИИ на практике @anjela_p · 78,909 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 22 August 2026
Ксения Баранова | PRO ИИ-технологии🔥 @xb_prosmm · 62,863 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 22 August 2026
AI Университет @neural_university_webinar · 37,068 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 31 August 2026
💎 Зерокодер | Нейросети и искусственный интеллект @oqode · 39,433 Telegram ranks this channel #6 of 92 here — alongside 91 others — read 30 August 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney @neural_houses · 44,144 Telegram ranks this channel #6 of 92 here — alongside 91 others — read 28 August 2026
Serge_AI 1.0 @serge_ai · 56,484 Telegram ranks this channel #8 of 99 here — alongside 98 others — read 23 August 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 59,214 Telegram ranks this channel #9 of 95 here — alongside 94 others — read 22 August 2026
Nano Banana, GPT Images, Veo 3, Midjourney - Новости YES Ai @yes_ai_official · 97,468 Telegram ranks this channel #10 of 83 here — alongside 82 others — read 22 August 2026
Арон Закрия @aironzak · 118,347 Telegram ranks this channel #11 of 80 here — alongside 79 others — read 3 September 2026
Канал Игоря Зуевича @zuevichigor · 39,741 Telegram ranks this channel #12 of 91 here — alongside 90 others — read 30 August 2026
Нейро Ликбезик | Кирилл Безиков @kirillbezikov · 19,946 Telegram ranks this channel #13 of 96 here — alongside 95 others — read 29 September 2026
Будни Jeforel @budni_illustratora · 27,217 Telegram ranks this channel #14 of 86 here — alongside 85 others — read 11 September 2026
Руслан Гамзатов | AI маркетинг @AIGamzatov · 34,009 Telegram ranks this channel #15 of 88 here — alongside 87 others — read 8 September 2026
НейроНатали | Обучение Нейросетям @Neyronatali · 20,465 Telegram ranks this channel #20 of 93 here — alongside 92 others — read 30 September 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 77,625 Telegram ranks this channel #21 of 94 here — alongside 93 others — read 29 August 2026
SYNTX FAMILY @syntxfamily · 323,611 Telegram ranks this channel #22 of 93 here — alongside 92 others — read 22 August 2026
Илья Филиппов. Лаборатория нейросетей @moremarketingisaid · 23,060 Telegram ranks this channel #25 of 89 here — alongside 88 others — read 18 September 2026
Нейроконцентрат | нейросети, технологии @AIConcentrate · 30,621 Telegram ranks this channel #26 of 95 here — alongside 94 others — read 6 September 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,613 Telegram ranks this channel #33 of 96 here — alongside 95 others — read 18 September 2026
Neural Brain - Нейросети @neural_braining · 21,249 Telegram ranks this channel #38 of 90 here — alongside 89 others — read 23 September 2026
Lama AI @lama_channel_gpt · 24,085 Telegram ranks this channel #41 of 90 here — alongside 89 others — read 15 September 2026
NeuroADEPT @neuroadepts · 40,447 Telegram ranks this channel #41 of 85 here — alongside 84 others — read 29 August 2026
Мир нейросетей - новости, обучение и заработок @pro_ai_novosti · 50,031 Telegram ranks this channel #45 of 90 here — alongside 89 others — read 25 August 2026
Промты для нейросетей @iidlyabi · 22,292 Telegram ranks this channel #46 of 87 here — alongside 86 others — read 20 September 2026
This channel appears in 33 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Korenev AI - GPT в тапочках🩴” (@korenev_ai), 7,891 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/korenev_ai.
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.