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Channel

Ффринг | Вайбкодинг

@aiffring

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

22,006subscribers

+1,764 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002098385573
TypeChannel
Username@aiffring
DescriptionСтрою AI-агентов, которые работают 24/7 без выходных, берут на себя рутину и приносят деньги. Учу делать так же Вайбкодинг, автоматизация, уроки и кейсы. Без воды, только практика. Основатель aizavod.io, plaan.ai Консультация: @ffring Рекламу не размещаю
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live26 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/aiffring

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 60% 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

20,24222,00621,1247 August 2026 — 20,242 subscribers7 August 2026 — 20,242 subscribers7 August 2026 — 20,266 subscribers9 August 2026 — 20,317 subscribers10 August 2026 — 20,334 subscribers11 August 2026 — 20,337 subscribers12 August 2026 — 20,364 subscribers13 August 2026 — 20,434 subscribers14 August 2026 — 20,474 subscribers15 August 2026 — 20,539 subscribers17 August 2026 — 20,592 subscribers18 August 2026 — 20,634 subscribers19 August 2026 — 20,669 subscribers20 August 2026 — 20,725 subscribers21 August 2026 — 20,751 subscribers22 August 2026 — 20,796 subscribers24 August 2026 — 20,867 subscribers25 August 2026 — 20,900 subscribers26 August 2026 — 20,934 subscribers27 August 2026 — 20,977 subscribers28 August 2026 — 21,018 subscribers29 August 2026 — 21,066 subscribers30 August 2026 — 21,108 subscribers31 August 2026 — 21,149 subscribers1 September 2026 — 21,181 subscribers2 September 2026 — 21,207 subscribers3 September 2026 — 21,223 subscribers5 September 2026 — 21,263 subscribers8 September 2026 — 21,335 subscribers11 September 2026 — 21,476 subscribers13 September 2026 — 21,495 subscribers15 September 2026 — 21,493 subscribers17 September 2026 — 21,566 subscribers19 September 2026 — 21,661 subscribers26 September 2026 — 22,006 subscribers7 August 202626 September 2026
35 measurements spanning 50 days, net +1,764. 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 19,977–22,271 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
26 Sept 2026, 09:4122,006+345
19 Sept 2026, 14:3921,661+95
17 Sept 2026, 01:3921,566+73
15 Sept 2026, 05:4021,493-2
13 Sept 2026, 12:1721,495+19
11 Sept 2026, 14:5721,476+141
8 Sept 2026, 23:0021,335+72
5 Sept 2026, 13:1621,263+40
3 Sept 2026, 11:5621,223+16
2 Sept 2026, 05:3321,207+26
1 Sept 2026, 03:1421,181+32
31 Aug 2026, 02:3521,149+41
30 Aug 2026, 04:0621,108+42
29 Aug 2026, 03:1421,066+48
28 Aug 2026, 01:1621,018+41
27 Aug 2026, 03:0420,977+43
26 Aug 2026, 05:4820,934+34
25 Aug 2026, 05:5620,900+33
24 Aug 2026, 09:1820,867+71
22 Aug 2026, 20:2620,796first reading

Engagement

44 posts held, back to 16 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 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.2%
avg views ÷ 22,006 subscribers
Avg views / post
2,690
12 posts measured
Reaction rate
3.90%
reactions ÷ views · ER floor
Posts in window
12
of 44 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 24 September 2026
Posts held44 (16 July 2026 – 24 September 2026)
Views total32,222
Reactions total1,258
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 15:54 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
448
Videos
78
Links
326

Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
9m 55s
Average length
2m 29s

Measured directly from 4 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

6,625 reactions across 44 posts, in 20 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2,84342.9%
❤1,11116.8%
👍6379.62%
⚡6209.36%
🤩2664.02%
😁2513.79%
💯2503.77%
🎉2363.56%
😍1592.40%
❤‍🔥1512.28%
🙏290.438%
🐳160.242%
🤔160.242%
🤝140.211%
🌚130.196%
👀40.06%
🦄40.06%
✍20.03%
🤗20.03%
🫡10.015%

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 44 of the 44 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 6,625 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 44 most recent posts we hold, published 16 July 2026 to 24 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
57
across the posts below
Posts paid on
23
of 44 we hold a reading for · 52%
Most on one post
9
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aiffring. 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 44 most recent posts we hold for this entry, published 16 July 2026 to 24 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

24 Sept 2026, 18:33 UTC≈1,800 views306 reactionsread 27 September 2026
Video

Это видео я сделал за 15 секунд и примерно 4 копейки Именно столько времени заняло надиктовать моему агенту промпт типа "найди какие скиллы и проекты на Github вирусятся сейчас и сделай видос с нашими авторскими картинками". Да, местами неидеально. Да, и текст, и голос, и графику можно улучшать. Но сам факт! Продолжаем эксперименты, а если наберем 222 реакции, дропну гайд как я делаю такие ролики

👍142🔥112❤30🎉9🤩8❤‍🔥5

21 Sept 2026, 16:02 UTC≈2,880 views127 reactions2 Starsread 27 September 2026

Вы можете повлиять на историю Сейчас я работаю над обновлением своих программ и собираю «Нейромейкер 2.0» и мне реально нужна ваша помощь. Нет никакого смысла создавать продукт, опираясь только на собственные предположения. Я подготовил короткую анкету – в ней всего 10 вопросов. Она ни к чему вас не обязывает и займёт около 5 минут, но ваши ответы очень помогут. Качественных программ по нейронкам не так уж и много…

❤‍🔥62🔥20❤19😍10😁8👍4⚡3🙏1

18 Sept 2026, 16:28 UTC≈3,000 views64 reactionsread 27 September 2026
Forwarded from @bs_businessPhoto

⚙️ Как собрать ИИ-контент-завод для вашего бизнеса В предыдущем посте я рассказал, из чего состоит система контент-завода, которая позволяет получать охваты, подписчиков и продажи. Теперь переходим к практике: базовую версию такой системы можно собрать вокруг Claude, Codex или другого ИИ-агента. Вы ставите задачу, а агент подключает инструменты и собирает процесс. В итоге должен получиться полноценный конвейер: аг…

❤25🔥21👍7😍4⚡2❤‍🔥2🎉2🤩1

18 Sept 2026, 16:28 UTC≈2,170 views20 reactionsread 27 September 2026

А вот и сам гайд как НА САМОМ деле собрать свой первый контент-заводик 👇

🔥10🎉4🤩3❤‍🔥2⚡1

18 Sept 2026, 13:00 UTC≈2,290 views48 reactionsread 27 September 2026
Forwarded from @bs_businessPhoto

⚡️ Настоящий контент-завод: бесплатные подписчики и новые клиенты с помощью ИИ Привет! На связи Денис Ффринг, основатель ИИ-агентства Plaan.ai и aizavod.io, эксперт по ИИ-трансформации бизнеса: @aiffring Платный трафик становится серьезной статьей расходов. Бизнес постоянно платит за показы, клики, подписчиков. Если перестать платить, поток людей закончится. Поэтому я собрал для себя ИИ-контент-завод. Эта система …

🔥28❤15😍3⚡1❤‍🔥1

18 Sept 2026, 13:00 UTC≈2,030 views5 reactionsread 27 September 2026

Дал комментарий Т Бизнесу 👇 чуть позже выложу инструкцию

🤩3⚡2

12 Sept 2026, 19:19 UTC≈3,670 views104 reactions1 Starread 27 September 2026

Самые опасные люди на планете уже просят нажать на тормоз. Но тормоза пока нет Дарио Амодеи, глава Anthropic, снова говорит о вещах, от которых обычно отмахиваются: «Ну это же фантастика». Но расклад там не про роботов с красными глазами. Он про две вполне конкретные угрозы. Первая — интернет. Сейчас крупную кибератаку готовят люди: ищут ошибки в программах, ломают защиту, ищут доступы. Это долго, дорого и требуе…

❤41👍27🔥18💯8🤔3😁3🙏3⚡1

10 Sept 2026, 11:09 UTC≈3,520 views131 reactionsread 27 September 2026

Почему заводы осваивают AI быстрее, чем ты Странное наблюдение из моей корпоративной практики. Ко мне в личную работу приходят крупные компании: заводы, сети клиник, даже госклиенты. Часто с полного нуля: сотрудники ещё вчера думали, что AI — это «спросить что-то у Алисы». А через несколько недель они собирают свои автоматизации, сервисы, агентов. Штуки, которые потом экономят (или приносят) компании миллионы рубл…

💯50😁34❤15🔥14⚡7❤‍🔥4🎉3🤩3

6 Sept 2026, 17:21 UTC≈4,210 views184 reactionsread 27 September 2026

🤮Новая профессия — meat proxy. Бессмысленный посредник между человеком и нейронкой. Работает так: Человек получает задачу → кидает её в ChatGPT → бездумно пересылает ответ. Не проверил. Не докрутил. Иногда даже не прочитал. Недавно мне пишет чел: Денис, я внимательно изучил ваш проект. Plaan — это не просто образовательная платформа. Это экосистема, которая объединяет технологии, знания и людей, открывая новые го…

👍59⚡40❤31💯24🔥12😁9🤩4😍4

4 Sept 2026, 18:58 UTC≈4,270 views126 reactionsread 27 September 2026
Photo

Мы уже в будущем: теперь я играю в Doom с AI Модельки Astra от OpenAI (ТОЛЬКО ЧТО появилась в Codex) и Claude Fable 5.1 уже делают какую-то невероятную работу очень быстро и качественно. Например, сейчас от нефиг делать я буквально попросил: "сделай дум в браузере но чтобы мы с корешами могли катнуть вместе и задеплой куда-то типа клаудфлейр или сделай этот комп сервером просто" Ну кто играл тот знает 15 минут ра…

❤50💯33🔥26👍7🤔7😁3

3 Sept 2026, 11:42 UTC742 views109 reactions1 Starread 3 September 2026
Photo

[Видео] ChatGPT этого НЕ УМЕЕТ! Анализ рынка, SEO и соцсети через AIsa. ВСЕ продвижение 2026 за 20 минут! 🔥 Ставьте огонёк на пост авансом — и погнали: ИИ-агент без инструментов — это очень умная голова без рук. Он может придумать стратегию, написать план и уверенно объяснить, как вам продвигаться. Но когда нужны реальные данные с рынка, SEO и соцсетей, начинается мартышкин труд: открывай вкладки, таскай информац…

🔥64😍15❤13⚡8👍3✍2❤‍🔥1🎉1

1 Sept 2026, 18:21 UTC≈1,640 views34 reactionsread 3 September 2026
Photo

Неожиданно подписчица прислала мне журнал с моей статьей. А я и забыл уже про это интервью…

👍22⚡6🌚4❤1🔥1

Showing the 12 most recent of 44 posts we hold for @aiffring. 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

@aiffring edited 1 post 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
24 August 2026
Most recent edit
24 August 2026

Forward network

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 5 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.

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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#51
Молянов
@molyanov_blog · 30,289
#52
Иван Шайхисламов
@m_cult_members · 2,414
#53
ИИ для бизнеса, маркетинга, SMM | Кибериада
@Cyberiada · 2,195
#54
Гребаный ИИкебастуз
@iikebastus · 813
#55
Из школы в инфобизнес | Женя Белякова
@evro_metodist · 847
#56
Лаборатория вакансий в образовании
@lab_vacancies · 4,297
#57
НЕЙРОСЕТИ С ЛИЛИТ
@neuroguruLA · 1,450
#58
МАРИЯ ЛИТРА | НАСТАВНИК ОНЛАЙН-ПЕДАГОГОВ
@onlainteacher · 547 (as read 23 September 2026)
#59
КУДРЯВЫЙ МЕТОД
@KanalLyudmilyKudravec · 501 (as read 23 September 2026)
#60
По полочкам | Notion | Buildin |
@notionfan · 159 (as read 23 September 2026)
#61
Алексей Ткачук — Личный блог
@tkachuk_aliaksey · 4,689
#62
Экосистема Устойчивого Развития образовательных проектов
@methodologists · 613
#63
Фокус на Telegram Ads
@focus_on_tg · 1,229
#64
Зоя Давыдова | Деньги и свобода
@zoya_nazgulka · 429
#65
Андрей Сенаторов | Ивент-продюсер
@senatorov_production · 554
#66
THE FUTURE IDOL
@thefutureidol · 607
#67
Илья Филиппов. Лаборатория нейросетей
@moremarketingisaid · 23,384
#68
Седов - теплый маркетинг | sedov.link
@sedovlink · 1,620
#69
ГЕЙМИФИКАЦИЯ БЕЗ ФАНТИКА
@game_kwest · 1,808
#70
EdAgency: о методологии и смыслах
@ed_agency · 2,320
#71
Сергей Харьков | Бизнес и рост
@sergey_kharkov_personal · 1,959
#72
НЕЙРОСЕТИ ЛЕГКО ✨
@NeuroFocusPro · 4,840
#73
School of Education
@schoolofeducation · 10,028
#74
Прогрессивное образование
@progressive_edu · 17,000
#75
(Не)образованный маркетолог | Николай Герасимов
@not_educated · 695
#76
Культура ест стратегию на завтрак
@sergeypruss · 1,510
#77
Правильная реклама в 𝕋𝕖𝕝𝕖𝕘𝕣𝕒𝕞
@mullanur_target · 1,649
#78
Миша, давай по новой
@misha_davai_po_novoi · 19,011
#79
LXD hero 💙 | Герои образования
@lxdhero · 4,570
#80
AI MM | Нейросети | Технологии
@AI_Money_Maker · 5,346
#81
Журнал "Популярная нутрициология"
@popularnutrition · 1,256
#82
Образование 4.0
@skillbox_media_education · 16,477
#83
Юрист для тех, кто учит
@vera_jurist · 2,951
#84
На старт, внимание, курс
@vnimanie_kurs · 7,349
#85
ПРОкурсы. Методология для обучения и жизни.
@online_course_metod · 1,958
#86
Прямо по курсу с Кристиной
@pryamo_po_kyrsy · 292
#87
Отчеты Максима Удода
@udod50mln · 687
#88

Read from Telegram’s recommendation API, most recently 23 September 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.

Максонская ложа (Канал)
@nomarketolog · 26,764
Telegram ranks this channel #17 of 92 here — alongside 91 others — read 23 September 2026
Илья Филиппов. Лаборатория нейросетей
@moremarketingisaid · 23,384
Telegram ranks this channel #88 of 89 here — alongside 88 others — read 18 September 2026

This channel appears in 2 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.

“Ффринг | Вайбкодинг” (@aiffring), 22,006 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/aiffring.

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.