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Силиконовый Мешок

@prompt_design

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

86,986subscribers

+10,658 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 live26 September 2026
Measurements held36
Confirmed unchanged1 time, most recently 26 September 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 why it has no browse page of its own yet.

Growth

76,32886,98681,6576 August 2026 — 76,328 subscribers6 August 2026 — 76,328 subscribers6 August 2026 — 77,083 subscribers8 August 2026 — 77,648 subscribers9 August 2026 — 78,489 subscribers10 August 2026 — 78,916 subscribers11 August 2026 — 79,432 subscribers12 August 2026 — 79,803 subscribers13 August 2026 — 80,837 subscribers14 August 2026 — 81,215 subscribers16 August 2026 — 81,359 subscribers17 August 2026 — 81,567 subscribers18 August 2026 — 81,825 subscribers19 August 2026 — 81,977 subscribers20 August 2026 — 82,044 subscribers21 August 2026 — 82,053 subscribers22 August 2026 — 81,996 subscribers24 August 2026 — 82,712 subscribers25 August 2026 — 82,887 subscribers26 August 2026 — 83,266 subscribers27 August 2026 — 84,266 subscribers28 August 2026 — 84,758 subscribers29 August 2026 — 84,868 subscribers30 August 2026 — 84,936 subscribers31 August 2026 — 85,110 subscribers1 September 2026 — 85,121 subscribers2 September 2026 — 85,120 subscribers3 September 2026 — 85,217 subscribers5 September 2026 — 85,137 subscribers8 September 2026 — 85,163 subscribers11 September 2026 — 85,496 subscribers13 September 2026 — 85,536 subscribers15 September 2026 — 85,594 subscribers17 September 2026 — 85,555 subscribers19 September 2026 — 85,657 subscribers26 September 2026 — 86,986 subscribers6 August 202626 September 2026
36 measurements spanning 51 days, net +10,658. 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 74,729–88,585 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
26 Sept 2026, 10:0286,986+1,329
19 Sept 2026, 13:2185,657+102
17 Sept 2026, 04:0185,555-39
15 Sept 2026, 02:1485,594+58
13 Sept 2026, 12:3685,536+40
11 Sept 2026, 13:3685,496+333
8 Sept 2026, 20:3885,163+26
5 Sept 2026, 14:0085,137-80
3 Sept 2026, 14:2185,217+97
2 Sept 2026, 10:3285,120-1
1 Sept 2026, 09:0585,121+11
31 Aug 2026, 07:0485,110+174
30 Aug 2026, 06:0484,936+68
29 Aug 2026, 09:0784,868+110
28 Aug 2026, 09:5684,758+492
27 Aug 2026, 07:3884,266+1,000
26 Aug 2026, 05:0383,266+379
25 Aug 2026, 07:0682,887+175
24 Aug 2026, 10:3782,712+716
22 Aug 2026, 16:4581,996first reading

Engagement

94 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 117 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.6%
avg views ÷ 86,986 subscribers
Avg views / post
17,100
41 posts measured
Reaction rate
0.865%
reactions ÷ views · ER floor
Posts in window
41
of 94 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 26 September 2026
Posts held94 (24 July 2026 – 26 September 2026)
Views total699,650
Reactions total6,054
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 2026, 07:32 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
≈1,030
Videos
≈366
Links
≈1,160

Lifetime counters from Telegram’s own channel header, read 28 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
14m 35s
Average length
40s

Measured directly from 22 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

14,081 reactions across 93 posts, in 27 distinct kinds. The most used accounts for 41.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5,87041.7%
❤2,65818.9%
🤣1,67911.9%
👍1,1388.08%
💯7085.03%
👏5894.18%
😁2942.09%
⚡1851.31%
🤯1851.31%
✍1531.09%
😱1230.874%
🤗980.696%
custom 5431660580211544071950.675%
🙏780.554%
🦄690.49%
❤‍🔥390.277%
👾150.107%
😐150.107%
😡150.107%
😭150.107%
7 further kinds600.426%

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 94 of the 94 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 14,258 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 94 most recent posts we hold, published 24 July 2026 to 26 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
517
across the posts below
Posts paid on
74
of 94 we hold a reading for · 79%
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 94 most recent posts we hold for this entry, published 24 July 2026 to 26 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.

Recent posts

26 Sept 2026, 09:46 UTC≈7,900 views62 reactions1 Starread 28 September 2026
Photo

Кстати, на одноименном YouTube-канале «Силиконовый Мешок» вышел второй подкаст. Да, пока медленно иду, но я стараюсь. Скоро третий будет, так что подписывайтесь https://www.youtube.com/@prompt_design/videos

❤25👍16🔥10👏4custom 54316605802115440713⚡2🦄2

26 Sept 2026, 08:13 UTC≈8,290 views63 reactions1 Starread 28 September 2026
Video

Ну а если у вас есть нескончаемое количество деталей Лего - можно и портреты делать. На этом свои эксперименты с легогенерацией заканчиваю, а то меня уже обвиняют в том, что я фантазию у детей ворую. Хороших выходных!

🔥39❤9🦄6👍4😁2custom 54316605802115440712🤯1

25 Sept 2026, 17:04 UTC≈10,000 views64 reactionsread 28 September 2026

Уходить из найма ради стартапа – плохой вариант Можно начать с малого: запустить свой небольшой IT-проект Но большинство застревает ещё до запуска: • какую идею выбрать • где искать первых пользователей без бюджета • как не потратить полгода на продукт, который никто не купит В комьюнити Короче, капитан выработали формулу: найти существующий спрос → собрать минимальную версию продукта → протестировать на реальных…

🤣34👍8❤6👾4🤯4⚡2🦄2✍1

25 Sept 2026, 16:37 UTC≈11,600 views75 reactions1 Starread 28 September 2026
Video

Вот вам котик еще. Проект залил на GitHub: https://github.com/siliconbag/lego-build SKILL.md лежит в корне, поэтому подписчик ставит скилл одной командой: git clone https://github.com/siliconbag/lego-build ~/.claude/skills/lego-build После этого можно просто попросить агента собрать из лего что-нибудь свое. Агент спроектирует модель из настоящих деталей, сверит цвета по BrickLink, проверит модель и отрендерит видео…

❤37👏18🔥13👍2🤗2🙏2🤯1

25 Sept 2026, 16:11 UTC≈9,490 views271 reactionsread 28 September 2026
Video

Один из примеров работы Opus 5.5. Я сфотографировал ему инструкцию от Lego, отметил детали, которые остались у меня в наличии, и попросил собрать движок, который будет подбирать нужные детали и анимировать сборку. Кирпичиков у меня не очень много, поэтому получился такой вот одноглазый Microduck. Мне бы такое в детстве, я бы с ума сошел от счастья… Если надо исходники и описание, как собрать - навалите 🔥 легомены.

🔥227❤26👏10👍3😁2✍1💯1🤗1

25 Sept 2026, 15:47 UTC≈9,870 views70 reactions1 Starread 28 September 2026

Сейчас все ИИнтузиасты брызжут щенячьей радостью от работы с Opus 5.5 - новая модель Anthropic действительно стала самостоятельнее и последовательнее. Так что если у вас в инструкциях к Claude до сих пор написано «подумай хорошенько», эту строку можно удалять. Размышления у модели теперь включены всегда, и сколько думать, она решает сама. Это совет из официального гайда по промптингу Opus 5.5. Anthropic выложила его…

❤34🔥17👏6👍5💯3😘2✍1🤗1

24 Sept 2026, 12:56 UTC≈12,300 views101 reactionsread 28 September 2026
Video

Помните, я заставил Jev играть в Doom? А сегодня попросил Claude Code собрать небольшую визуализацию, как работает логика принятия решения о движении игрока и его действиях. Смотрите, что получилось на чистом JavaScript с моделью Opus 5.5. Чистого времени заняло около 40 минут и четверть 5-часового лимита на максе. Использовал отличный скилл, который мне подсказали в ИИзнанке: https://github.com/kuhnhomeuk-cell/pro…

🔥62👍22❤9👏3🤯3🤗2

24 Sept 2026, 11:52 UTC≈12,700 views79 reactions1 Starread 28 September 2026
Photo

Вчера я опубликовал инструмент для навигации по более чем 750 кейсам применения модели Jev. А сегодня поделюсь статистикой запросов к сервису, это же самое интересное, правда? Только так мы сможем понять, что действительно интересует подписчиков «Силиконового Мешка». Знаете, что меня больше всего удивило? Из 1209 запросов за 20 часов самые популярные были «Приложение, которое из пяти фоток делает профессиональную фо…

🔥51❤11👍5😁4⚡2👏2💯2😈2

23 Sept 2026, 14:55 UTC≈14,300 views234 reactions2 Starsread 28 September 2026
Video

Что вообще на этом Jev можно делать? Хватит нам красивые картинки показывать, кейсы давай! Так я и даю, берите! Настроил систему сбора и сортировки интересных кейсов и прикрутил к страничке. Описываете в форме идею, а Jev быстро подбирает и выдает релевантные кейсы. Ну, вы разберетесь, не маленькие: https://jev-ideas.vercel.app/ И накиньте 🔥- если вам такой формат заходит, буду знать

🔥189❤20👏12💯4🤗4👍2🙏2custom 54316605802115440711

22 Sept 2026, 18:53 UTC≈17,900 views144 reactions1 Starread 28 September 2026
Photo

OpenAI наносят ответный удар и выпускают GPT-6 Sol и Luna The Show Must Go On

🤣86🔥36❤11👍4❤‍🔥3👏3💯1

22 Sept 2026, 16:44 UTC≈17,200 views93 reactions2 Starsread 28 September 2026
Photo

Вышел Claude Opus 5.5 Скоро обещают релиз новых Haiku и Sonnet, ну и, судя по бенчам, Fable тоже.

❤40🔥32👍10👏3🦄3😁2🙏2✍1

22 Sept 2026, 12:19 UTC≈18,100 views201 reactions3 Starsread 28 September 2026
Video

Немного упоролся в Jev, но так у меня всегда бывает, когда на чем-то гиперфиксацию поймаю. Вот, например, собрал подборщик нейросетей на базе тех, что есть у OpenRouter, под ваши задачи. Просто пишите, что хотите - получаете подборку нейросетей. Тут можно поиграть: https://jev-sorter.vercel.app/

🔥136👏22👍13🤣9❤8custom 54316605802115440714✍3😭3

Showing the 12 most recent of 94 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 6 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
18 September 2026

Forward network

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

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Republishes

Channels on the register whose posts this channel has forwarded.

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 53 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.

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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@theworldisnoteasy · 73,946
#27
Derp Learning
@derplearning · 13,893
#28
AI Happens
@aihappens · 14,526
#29
Data Secrets
@data_secrets · 94,138
#30
Tensor Banana
@tensorbanana · 2,947
#31
Kali Novskaya
@rybolos_channel · 19,055
#32
CGIT_Vines
@CGIT_Vines · 11,574
#33
Метаверсошная
@olya_tashit · 13,039
#34
Machinelearning
@ai_machinelearning_big_data · 279,417
#35
Neurogen
@neurogen_news · 22,946
#36
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,169
#37
НейроProfit | Соня Pro Ai
@NeuralProfit · 23,415
#38
Борис опять
@boris_again · 17,621
#39
Vakilova. AI
@Vakilova_ai · 7,523
#40
Градиент обреченный
@doomgrad · 8,799
#41
Ринат Шакиров | Промпты для Midjourney | ChatGPT |
@dailyprompts · 42,650
#42
85GB нейронок
@neural85gb · 6,607
#43
Технологии | Нейросети | Боты
@aiaiai · 176,423
#44
То шо нейросети
@toshoseti · 1,411
#45
Нейродвиж
@neuraldvig · 294,501
#46
Time2Future I ИИ медиа
@t2fmedia · 1,795
#47
ЭйАйЛера
@leraneuralpics · 7,261
#48
РЕПТИЛОИДНАЯ
@reptiloidnaya · 2,782
#49
AI для Всех
@nn_for_science · 15,498
#50
Нейросети и Блендер
@monkeyinlaw · 12,744
#51
что-то на DL-ском
@nadlskom · 5,012
#52
Korenev AI - GPT в тапочках🩴
@korenev_ai · 7,909
#53
Точки над ИИ
@TochkiNadAI · 17,860
#54
дAI потестить!
@dAIpotestit · 3,186
#55
️Нейросети: Волшебство ИИ, IT и маркетинг⚡️
@neyroseti_dr · 16,718
#56
Not Boring Tech
@notboring_tech · 20,799
#57
UX Live 🔥
@uxlive · 36,061
#58
AI ✕ Business
@ai_x_business · 2,203
#59
AI Agents | Bayram Annakov
@ai_auto_agents · 623
#60
Futuris
@Futuris · 6,351
#61
Generative Anton
@repushko_channel · 5,451
#62
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 43,919
#63
Dealer.AI
@dealerAI · 16,667
#64
Бэкдор
@whackdoor · 1,603,481
#65
Старший Авгур
@senior_augur · 8,118
#66
kyrillic
@kyrillic · 60,982
#67
BOGDANISSSIMO
@bogdanisssimo · 6,992
#68
Эксплойт
@exploitex · 2,048,279
#69
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 14,890
#70
Стартап дня. Александр Горный.
@startupoftheday · 60,633
#71
Переход на канал
@prompty · 53
#72
Workshop AI
@workshopairu · 8,071
#73
Design touch ✨
@atouchdesign · 10,563
#74
НЕЙРО-СКЛАД ● Модели и LoRa для FLUX и SD, WAN, Hunyuan
@neurosklad · 8,527
#75
vc.ru
@vcnews · 112,033
#76
The Edinorog 🦄
@Theedinorogblog · 43,821
#77
42 секунды
@ftsec · 19,382
#78
Nerual Dreming и нейросети
@neuro_art0 · 9,698
#79
Дизраптор
@disruptors_official · 72,888
#80
Тёмная сторона / Темнографика
@temno · 79,668
#81
Money For Startup Андрей Резинкин
@startup_venture · 15,062
#82
Вправо Вверх 📈 Михаил Табунов
@bossofyourboss · 27,735
#83
Менделеевщина!
@mendeleevshina · 23,888
#84
vlad kooklev — ai & agents
@prod1337 · 7,556
#85
Пресидский залив
@neural_prosecco · 8,169
#86
TechSparks
@techsparks · 46,603
#87
КПД
@quant_prune_distill · 3,483
#88
Грокс
@groks · 42,867
#89
Dan Okhlopkov - канал
@danokhlopkov · 13,689
#90
Михаил Мятов | AI+GEO+SEO = 100k в день
@myatov · 7,644
#91
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети)
@ai2smm · 59,038
#92
grokaem себя
@grokaem_seby · 2,742
#93
Миша Жуховицкий
@juhovitskiy · 41,253
#94
Миджорниум - промпты и советы для нейросететей Midjourney, Dall-e, SD, и др.
@midjornium · 6,735
#95
ComfyUI (Flux, ZIT, QWEN)
@AI_SD · 4,308
#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.

Tips AI | IT & AI
@tips_ai · 25,359
Telegram ranks this channel #7 of 95 here — alongside 94 others — read 14 September 2026
Lama AI
@lama_channel_gpt · 24,736
Telegram ranks this channel #12 of 90 here — alongside 89 others — read 15 September 2026
e/acc
@cryptoEssay · 62,598
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 21 August 2026
НейроProfit | Соня Pro Ai
@NeuralProfit · 23,415
Telegram ranks this channel #20 of 96 here — alongside 95 others — read 18 September 2026
Ai molodca
@strangedalle · 46,785
Telegram ranks this channel #29 of 94 here — alongside 93 others — read 27 August 2026
Метаверсище и ИИще
@cgevent · 52,530
Telegram ranks this channel #31 of 92 here — alongside 91 others — read 25 August 2026
Neurogen
@neurogen_news · 22,946
Telegram ranks this channel #32 of 88 here — alongside 87 others — read 19 September 2026
Нейроскептик
@neuroskep · 29,464
Telegram ranks this channel #37 of 90 here — alongside 89 others — read 8 September 2026
Малоизвестное интересное
@theworldisnoteasy · 73,946
Telegram ranks this channel #40 of 94 here — alongside 93 others — read 19 August 2026
Двоичный кот
@binarcat · 30,827
Telegram ranks this channel #41 of 93 here — alongside 92 others — read 9 September 2026
Технологии | Нейросети | Боты
@aiaiai · 176,423
Telegram ranks this channel #44 of 93 here — alongside 92 others — read 12 August 2026
CyberYozh AI Security
@CyberYozh_AI_security · 26,487
Telegram ranks this channel #48 of 91 here — alongside 90 others — read 12 September 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney
@neural_houses · 44,537
Telegram ranks this channel #67 of 92 here — alongside 91 others — read 28 August 2026

This channel appears in 13 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Силиконовый Мешок” (@prompt_design), 86,986 subscribers as measured 26 September 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.