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Channel

Силиконовый Мешок

@prompt_design

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

92,635subscribers

+16,307 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001846371414
TypeChannel
Username@prompt_design
DescriptionКак заработать на Искусственном Интеллекте уже сегодня. Написать админу @artem_subbotin Чат канала: @prompt_chat
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/prompt_design

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 58% 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

76,32892,72984,528.592,6356 August 20265 November 2026
62 measurements spanning 91 days, net +16,307. 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 73,868–95,189 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
5 Nov 2026, 11:3692,635+212
4 Nov 2026, 14:4092,423-115
3 Nov 2026, 16:4092,538-133
2 Nov 2026, 19:4992,671-58
1 Nov 2026, 20:0792,729+308
31 Oct 2026, 17:5792,421+1,083
30 Oct 2026, 15:1691,338+1,180
29 Oct 2026, 17:3790,158+148
28 Oct 2026, 21:0790,010+2,957
27 Oct 2026, 21:0987,053+110
26 Oct 2026, 19:1786,943+31
25 Oct 2026, 22:3486,912+4
25 Oct 2026, 01:3686,908-50
24 Oct 2026, 01:0686,958-37
22 Oct 2026, 21:5586,995-42
21 Oct 2026, 19:2687,037-74
20 Oct 2026, 14:0987,111-42
19 Oct 2026, 15:2887,153-50
18 Oct 2026, 17:5687,203-19
17 Oct 2026, 16:4687,222first reading

Engagement

161 posts held, back to 24 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
16.1%
avg views ÷ 92,635 subscribers
Avg views / post
15,000
51 posts measured
Reaction rate
0.624%
reactions ÷ views · ER floor
Posts in window
51
of 161 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
WindowRolling 30 days · latest post in window 5 November 2026
Posts held161 (24 July 2026 – 5 November 2026)
Views total762,800
Reactions total4,759
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 18:35 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.

What this channel posts

Photos
≈1,050
Videos
≈385
Links
≈1,210

Lifetime counters from Telegram’s own channel header, read 5 November 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
32m 53s
Average length
48s

Measured directly from 41 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

20,812 reactions across 160 posts, in 27 distinct kinds. The most used accounts for 40.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥8,48540.8%
❤3,88018.6%
🤣2,45311.8%
👍1,5477.43%
💯1,1615.58%
👏9194.42%
😁4962.38%
🤯3081.48%
⚡2401.15%
😱2211.06%
✍1950.937%
🤗1690.812%
🙏1540.74%
custom 54316605802115440711140.548%
🦄1120.538%
❤‍🔥780.375%
😡450.216%
😭430.207%
😐390.187%
👾340.163%
7 further kinds1190.572%

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 161 of the 161 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 20,989 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 161 most recent posts we hold, published 24 July 2026 to 5 November 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
568
across the posts below
Posts paid on
96
of 161 we hold a reading for · 60%
Most on one post
82
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @prompt_design. 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 161 most recent posts we hold for this entry, published 24 July 2026 to 5 November 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: 8 of 51 posts held from the last 30 days (15.7%) 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).

5 Nov 2026, 10:20 UTC≈5,850 views69 reactionsread 5 November 2026
Video

Если вы делаете анимацию при помощи агентов, обратите внимание на формат GLB. Это бинарная упаковка в glTF 2.0, а он в свою очередь нативный для three.js. Агенту с ним легко работать. Внутри один файл, в нем JSON с деревом сцены и массивы вершин. Если модель собрана по частям, у каждой детали свое имя, и агент двигает их кодом, как конструктор. Blender ему не нужен, он пишет сцену, рендерит кадр и сам смотрит на рез…

🔥46❤12👾4👍3😱2👏1🙏1

5 Nov 2026, 08:26 UTC≈6,970 views55 reactionsread 5 November 2026
Video

Если вы устали от повсеместных мультиков, сделанных в Opus 5.5, не расслабляйтесь: OpenAI наносит ответный удар! Сэм Альтман выпускает модель Images 2.6. Теперь вы можете генерировать GIF’ки. https://openai.com/index/introducing-images-2-6/

🤣37🔥9❤4custom 54316605802115440713👏1😁1

4 Nov 2026, 15:59 UTC≈8,580 views21 reactionsread 5 November 2026
Photo

А мы начинаем наш Research Mastermind! Залетайте на стримчанский, будет интересно: https://youtube.com/live/cnPFLYqPLDo?feature=share

👏7🔥4custom 54316605802115440713❤2❤‍🔥2🤗1🦄1🙏1

4 Nov 2026, 13:01 UTC≈8,690 views192 reactions1 Starread 5 November 2026

Недавно делали специальный Research Mastermind, посвященный опенсорсному решению bb, где участники ИИзнанки рассказывали, как они используют эту платформу. Судя по тому, что это все еще самый популярный по просмотрам стрим на канале - интерес к теме есть. Но знаете, что мы не предусмотрели в этом видео? Не уделили достаточно внимания рассказу, как все установить и с чего начать. Исправляюсь. bb это бесплатное решени…

🔥169❤15❤‍🔥4⚡2🤗1🙏1

3 Nov 2026, 15:35 UTC≈9,410 views38 reactionsread 5 November 2026

Завтра в 19:00 (GMT+3) у нас будет вечерний Research Mastermind. Будут три спикера с очень интересными темами: Алексей - От идеи до согласованных требований. Как мы встроили ИИ-аналитика в работу команды Бизнес-анализ - часть инфраструктуры, которую мы построили для команды в bb. Это общее пространство, где можно вместе с ИИ-аналитиком проработать идею или изменение в продукте, уточнить задачу, обсудить варианты и до…

❤26👍5👏3⚡1💯1🔥1🦄1

3 Nov 2026, 14:09 UTC≈9,240 views18 reactionsread 5 November 2026

Как в театре, вынужден дать третий звонок. Чтобы потом не говорили, что не заметили приглашение на мастер-группу по ИИ, которая стартует уже сегодня в 19:00 по GMT+3. Если вы любите запрыгивать в закрывающиеся двери или ждете знака от вселенной (это он), то программа и заявка тут kireev.expert/master-group Ну и фастрек сразу в бота @kireev_mastergroup_bot

❤8🔥3👏2🤗1🤣1🤯1😘1🙏1

3 Nov 2026, 13:51 UTC≈9,760 views99 reactions1 Starread 5 November 2026

Всегда был убежден, что веса моделей - это «черный ящик», фарш обратно не прокрутишь и знания из весов не вытащишь. Но тут пошли подвижки. В MIT дали GPT-6 Astra 17 тысяч чисел, веса крошечной нейросети, и спросили, для какой игры ее обучали. Ни подсказок, ни списка вариантов. Astra посмотрела на веса и ответила, что это Breakout (аркада Atari 1976 года, из которой потом вырос «Арканоид»), потому что в весах видна р…

🔥42🤯23❤13💯6😱6⚡3👍2👏2

3 Nov 2026, 12:40 UTC≈10,200 views18 reactionsread 5 November 2026

Очень мило пообщались с Димой и Сергеем о нейросетях в их подкасте про инвестиции. У ребят было много вопросов про агентов и их отличие от обычных чатов. Посмотреть можно на YouTube: youtu.be/82F-E1vFwvU

❤6👍4⚡2👏2🔥2🤗2

2 Nov 2026, 17:50 UTC≈11,600 views87 reactionsread 5 November 2026
Video

С выходных твиттер заливает 8-битной графикой, все пошли делать изометрические диорамы и топ-даун РПГ-шки. Вот и мне пиксель в глаз попал, попросил Opus несколько сцен из фильма «Хакеры» 1995 года (старожилы знают, что я к нему неравнодушен) замутить в бесконечную петлю.

❤41🔥26🤗8👍6💯3custom 54316605802115440712👏1

2 Nov 2026, 15:57 UTC≈12,600 views153 reactionsread 5 November 2026

В выходные читал занимательный тред на Hacker News о том, как разработчики хорошенько так выгорают от всей этой движухи. И знаете, многие комментарии мне резонировали, это действительно какой-то новый вид усталости и эмоциональной нагрузки получается. Программисты пишут, что хоть искусственный интеллект и позволяет делать заметно больше, но к вечеру сил остается меньше, чем до него. Приходится следить за кучей парал…

💯101❤23👍8🔥4🤗4⚡3❤‍🔥3👏3

1 Nov 2026, 18:09 UTC≈14,000 views224 reactionsread 5 November 2026
Photo

Тут, оказывается, нашли причину, почему ИИ становится дорогим. Во всем виноваты люди, которые все еще имеют оперативку в своих компьютерах. По мнению Сэма Альтмана, мы используем ее не так эффективно, как дата-центры, которые, кстати, испытывают в ней серьезную нехватку. Цитата Альтмана «С точки зрения глобального распределения ресурсов это, на самом деле, довольно ужасно - когда у каждого в собственном компьютере …

🤣162💯23😡14❤12😭4🦄3🔥2⚡1

30 Oct 2026, 13:44 UTC≈18,500 views38 reactions1 Starread 5 November 2026

Вот так всегда. После прошлого поста про нашу мастер-группу со Стасом мне в личку посыпались уточняющие вопросы. Видимо, я опять невнятно все рассказал. Исправляюсь. Знаю, что многие из вас давно читают Мешок, сохраняют посты в избранное и думают «надо бы разобраться». Мастер-группа как раз для того, чтобы наконец разобраться, и не в одиночку. 3 ноября стартует восьмой поток. Начнем с самых основ и дойдем до своих …

❤23🔥4👍2👏2🤣2❤‍🔥1💯1🤗1

Showing the 12 most recent of 161 posts we hold for @prompt_design. 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

@prompt_design edited 8 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
18 August 2026
Most recent edit
4 November 2026

Posts recorded as deleted after publishing

We recorded 16 posts on @prompt_design as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
17 August 2026
Most recent seen missing
19 October 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
2

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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@thinkingmachines_ru · 155
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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 54 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

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#21
InNeuralNetwork
@InNeuralNetwork · 4,920
#22
addmeto
@addmeto · 71,948
#23
Neural Shit
@NeuralShit · 54,660
#24
EDU
@ProductsAndStartups · 15,330
#25
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 12,324
#26
Малоизвестное интересное
@theworldisnoteasy · 74,246
#27
Derp Learning
@derplearning · 14,000
#28
AI Happens
@aihappens · 14,525
#29
Data Secrets
@data_secrets · 95,989
#30
Tensor Banana
@tensorbanana · 2,941
#31
Kali Novskaya
@rybolos_channel · 19,133
#32
CGIT_Vines
@CGIT_Vines · 11,647
#33
Метаверсошная
@olya_tashit · 13,226
#34
Machinelearning
@ai_machinelearning_big_data · 276,342
#35
Neurogen
@neurogen_news · 22,913
#36
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,274
#37
НейроProfit | Соня Pro Ai
@NeuralProfit · 23,608
#38
Борис опять
@boris_again · 17,967
#39
Vakilova. AI
@Vakilova_ai · 7,607
#40
Градиент обреченный
@doomgrad · 8,845
#41
Ринат Шакиров | Промпты для Midjourney | ChatGPT |
@dailyprompts · 42,543
#42
85GB нейронок
@neural85gb · 6,581
#43
Технологии | Нейросети | Боты
@aiaiai · 174,502
#44
То шо нейросети
@toshoseti · 1,394
#45
Нейродвиж
@neuraldvig · 289,322
#46
Time2Future I ИИ медиа
@t2fmedia · 1,798
#47
ЭйАйЛера
@leraneuralpics · 7,253
#48
РЕПТИЛОИДНАЯ
@reptiloidnaya · 2,780
#49
AI для Всех
@nn_for_science · 15,477
#50
Нейросети и Блендер
@monkeyinlaw · 12,686
#51
что-то на DL-ском
@nadlskom · 5,149
#52
Korenev AI - GPT в тапочках🩴
@korenev_ai · 7,891
#53
Точки над ИИ
@TochkiNadAI · 19,446
#54
дAI потестить!
@dAIpotestit · 3,234
#55
️Нейросети: Волшебство ИИ, IT и маркетинг⚡️
@neyroseti_dr · 16,705
#56
Not Boring Tech
@notboring_tech · 21,091
#57
UX Live 🔥
@uxlive · 36,176
#58
AI ✕ Business
@ai_x_business · 2,173
#59
AI Agents | Bayram Annakov
@ai_auto_agents · 630
#60
Futuris
@Futuris · 6,898
#61
Generative Anton
@repushko_channel · 5,444
#62
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,586
#63
Dealer.AI
@dealerAI · 17,062
#64
Бэкдор
@whackdoor · 1,544,021
#65
Старший Авгур
@senior_augur · 8,357
#66
kyrillic
@kyrillic · 61,210
#67
BOGDANISSSIMO
@bogdanisssimo · 7,014
#68
Эксплойт
@exploitex · 2,029,038
#69
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,111
#70
Стартап дня. Александр Горный.
@startupoftheday · 62,655
#71
Переход на канал
@prompty · 101
#72
Workshop AI
@workshopairu · 8,001
#73
Design touch ✨
@atouchdesign · 10,550
#74
НЕЙРО-СКЛАД ● Модели и LoRa для FLUX и SD, WAN, Hunyuan
@neurosklad · 8,569
#75
vc.ru
@vcnews · 112,176
#76
The Edinorog 🦄
@Theedinorogblog · 43,874
#77
42 секунды
@ftsec · 19,403
#78
Nerual Dreming и нейросети
@neuro_art0 · 9,770
#79
Дизраптор
@disruptors_official · 72,578
#80
Тёмная сторона / Темнографика
@temno · 79,187
#81
Money For Startup Андрей Резинкин
@startup_venture · 16,507
#82
Вправо Вверх 📈 Михаил Табунов
@bossofyourboss · 27,334
#83
Менделеевщина!
@mendeleevshina · 24,117
#84
vlad kooklev — ai & agents
@prod1337 · 7,457
#85
Пресидский залив
@neural_prosecco · 8,418
#86
TechSparks
@techsparks · 46,785
#87
КПД
@quant_prune_distill · 3,506
#88
Грокс
@groks · 42,496
#89
Dan Okhlopkov - канал
@danokhlopkov · 13,746
#90
Михаил Мятов | AI+GEO+SEO = 100k в день
@myatov · 6,122
#91
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети)
@ai2smm · 59,217
#92
grokaem себя
@grokaem_seby · 2,741
#93
Миша Жуховицкий
@juhovitskiy · 47,623
#94
Миджорниум - промпты и советы для нейросететей Midjourney, Dall-e, SD, и др.
@midjornium · 6,851
#95
ComfyUI (Flux, ZIT, QWEN)
@AI_SD · 4,410
#96

Read from Telegram’s recommendation API, most recently 18 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Бурый
@sburyi · 20,238
Telegram ranks this channel #4 of 93 here — alongside 92 others — read 4 October 2026
Миша, давай по новой
@misha_davai_po_novoi · 19,106
Telegram ranks this channel #4 of 95 here — alongside 94 others — read 4 October 2026
Tips AI | IT & AI
@tips_ai · 25,755
Telegram ranks this channel #7 of 95 here — alongside 94 others — read 14 September 2026
Lama AI
@lama_channel_gpt · 24,095
Telegram ranks this channel #12 of 90 here — alongside 89 others — read 15 September 2026
e/acc
@cryptoEssay · 63,724
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 21 August 2026
НейроProfit | Соня Pro Ai
@NeuralProfit · 23,608
Telegram ranks this channel #20 of 96 here — alongside 95 others — read 18 September 2026
Ai molodca
@strangedalle · 47,606
Telegram ranks this channel #29 of 94 here — alongside 93 others — read 27 August 2026
Метаверсище и ИИще
@cgevent · 53,511
Telegram ranks this channel #31 of 92 here — alongside 91 others — read 25 August 2026
Neurogen
@neurogen_news · 22,913
Telegram ranks this channel #32 of 88 here — alongside 87 others — read 19 September 2026
Нейроскептик
@neuroskep · 29,735
Telegram ranks this channel #37 of 90 here — alongside 89 others — read 8 September 2026
Малоизвестное интересное
@theworldisnoteasy · 74,246
Telegram ranks this channel #40 of 94 here — alongside 93 others — read 19 August 2026
Двоичный кот
@binarcat · 30,764
Telegram ranks this channel #41 of 93 here — alongside 92 others — read 9 September 2026
Технологии | Нейросети | Боты
@aiaiai · 174,502
Telegram ranks this channel #44 of 93 here — alongside 92 others — read 12 August 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,056
Telegram ranks this channel #48 of 91 here — alongside 90 others — read 12 September 2026
НейроНатали | Обучение Нейросетям
@Neyronatali · 20,447
Telegram ranks this channel #62 of 93 here — alongside 92 others — read 30 September 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney
@neural_houses · 44,162
Telegram ranks this channel #67 of 92 here — alongside 91 others — read 28 August 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Силиконовый Мешок” (@prompt_design), 92,635 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/prompt_design.

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.