🎙️Как при блокировках НИКОГДА не терять свои данные
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Channel
@ungurenko_adout_digital
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Cite this entry
6,453subscribers
-318 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001467977358 |
|---|---|
| Type | Channel |
| Username | @ungurenko_adout_digital |
| Description | Я - Александр Унгуренко 🧠Учу экспертов вести блог и создавать сайты с помощью нейросетей 👉🏻Связь со мной @ungurenko |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 November 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 2 November 2026 |
| On Telegram | t.me/ungurenko_adout_digital |
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 96% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Nov 2026, 07:17 | 6,453 | -2 |
| 30 Oct 2026, 14:06 | 6,455 | -11 |
| 27 Oct 2026, 11:50 | 6,466 | -5 |
| 24 Oct 2026, 16:31 | 6,471 | -9 |
| 21 Oct 2026, 20:25 | 6,480 | -6 |
| 19 Oct 2026, 00:38 | 6,486 | -15 |
| 15 Oct 2026, 16:38 | 6,501 | -1 |
| 12 Oct 2026, 23:10 | 6,502 | -21 |
| 6 Oct 2026, 19:57 | 6,523 | -23 |
| 30 Sept 2026, 00:40 | 6,546 | -58 |
| 19 Sept 2026, 09:35 | 6,604 | -4 |
| 14 Sept 2026, 12:39 | 6,608 | -24 |
| 10 Sept 2026, 14:00 | 6,632 | -7 |
| 5 Sept 2026, 14:41 | 6,639 | -17 |
| 2 Sept 2026, 02:12 | 6,656 | -2 |
| 30 Aug 2026, 01:33 | 6,658 | -6 |
| 27 Aug 2026, 01:53 | 6,664 | -12 |
| 23 Aug 2026, 18:04 | 6,676 | -17 |
| 20 Aug 2026, 03:51 | 6,693 | -10 |
| 17 Aug 2026, 13:35 | 6,703 | first reading |
32 posts held, back to 28 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 13 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 3 November 2026 |
|---|---|
| Posts held | 32 (28 June 2026 – 3 November 2026) |
| Views total | 4,251 |
| Reactions total | 183 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 22:27 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.
Lifetime counters from Telegram’s own channel header, read 3 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.
Measured directly from 7 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.
536 reactions across 32 posts, in 6 distinct kinds. The most used accounts for 44.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 237 | 44.2% | |
| 🔥 | 154 | 28.7% | |
| 👍 | 125 | 23.3% | |
| 👏 | 13 | 2.43% | |
| ❤🔥 | 6 | 1.12% | |
| 💅 | 1 | 0.187% |
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 32 of the 32 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 536 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 28 June 2026 to 3 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ungurenko_adout_digital. 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 32 most recent posts we hold for this entry, published 28 June 2026 to 3 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.
🎙️Как при блокировках НИКОГДА не терять свои данные
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Доброе утро!)😉 Увидел это сообщение в комментариях и решил записать голосовое и донести важную мысль по поводу использования ИИ👇🏻
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ЧЕМ ЗАМЕНИТЬ CLAUDE CODE: ЧТО ВЫБИРАЮ Я После волны банов Claude многие ищут, где продолжить свои проекты. Я работаю в Codex, а для второго варианта держу OpenCode Go с DeepSeek V4.1 Flash. 📌 В статье рассказал, как перенести туда проект, правила и историю чатов, и с какой задачи начать. 👉 Читать: blog.ungurenko.ru/chem-zamenit-claude-code
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❌CLAUDE БЛОКИРУЕТ АККАУНТЫ ИЗ РФ. ЧТО ДЕЛАТЬ? Мне жаль об этом говорить, но мы должны отказаться от Claude Да, у них самые лучшие модели в мире: у них есть вкус, «интуиция», они тебя понимают с полуслова. Claude это творец. Но все это неважно, если вы не можете спокойно ими пользоваться…. 🚩Я думаю, что нам нужно выстраивать свою работу вокруг других ИИ. Мой выбор это ChatGPT (codex) Думаю, что скоро они выпуст…
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ПОШАГОВЫЙ УРОК: КАК ПОСТАВИТЬ НЕЙРОСЕТЬ ДЛЯ КАРТИНОК НА СВОЙ MAC В понедельник писал, что рисую картинки бесплатно прямо на макбуке. Теперь записал урок, как поставить такую нейросеть себе. Ставит её ИИ-агент: Claude Code или Codex из ChatGPT, так что программистом быть не нужно. 🎬 В видео показываю: • какой Mac подойдёт: хватит 16 ГБ памяти и чипа M1 или новее; • как Claude Code ставит MOSS, нейросеть, которая …
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Вот первые отзывы от покупателей про ВИДЕОЦЕХА🎬 Сейчас он стоит 6.990₽ Планирую поднимать цену до 9.990₽ когда добавлю еще больше новых функций!👌🏻❤️ Детали тут 👉🏻 https://videotseh.ungurenko.ru
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ГЕНЕРИРУЮ КАРТИНКИ БЕСПЛАТНО ПРЯМО НА СВОЁМ МАКБУКЕ! Claude Code поставил мне на MacBook локальную нейросеть FLUX 3 Klein. Она скачана на сам компьютер и рисует картинку меньше чем за минуту. Подписка и кредиты ей не нужны. Рисую ей наклейки и фоны для роликов, фоны для каруселей в Instagram, а дальше хочу делать картинки для сайта. Раньше за каждую картинку я платил сервису, а теперь рисую несколько вариантов и в…
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ПОКА-ПОКА, МОНТАЖЁР! Я собрал видеоотдел прямо в своем компьютере. Называется Видеоцех, и теперь его можно поставить себе. 📺 Делает рилс и shorts из постов, ролики для YouTube без камеры, 3D-рекламу и заставки, а ещё монтирует ваши эфиры, уроки и созвоны. 🤖 Сценарий, голос, графику, музыку и монтаж берёт на себя Claude Code или Codex - ИИ-помощник у вас на компьютере. 🎬 Вы - режиссёр: пишете задачу обычными слов…
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Ребят, привет!) сейчас осталось 4 места по 4.990₽ Дальше Видеоцех будет стоить 6.990₽ (69€) 🎬Примеры и тарифы: videotseh.ungurenko.ru Чтобы занять место, напишите мне в личку @ungurenko слово «ВИДЕОЦЕХ»
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РИЛС, SHORTS И РОЛИКИ ДЛЯ YOUTUBE БЕЗ МОНТАЖЁРА. Открываю предзаказ на Видеоцех Видеоцех - набор для Claude Code и Codex, ИИ-помощников у вас на компьютере. Вы пишете задачу обычными словами, а Claude делает видео без съёмки: 🎬 рилс и shorts из поста или идеи: сценарий, голос, графика и музыка; 📺 ролики для YouTube: уроки, обзоры, разборы; 🧊 3D-ролики в Блендере: заставки и реклама продукта; ✂️ монтаж ваших зап…
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КАК Я ЗА ДВЕ НЕДЕЛИ НАУЧИЛ CLAUDE ДЕЛАТЬ МНЕ ВИДЕО. Написал подробную статью Недавно я показывал рилсы и ролики для YouTube, которые мне собирает Claude. Теперь написал статью о том, как эта система устроена изнутри, без кода и простыми словами. 📖 В статье: • из каких инструментов она собрана и зачем нужен каждый; • как проходит один рилс: от «сделай рилс из этого поста» до готового видео. Первый Claude собрал з…
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🎬 CLAUDE ДЕЛАЕТ МНЕ РИЛС, РОЛИКИ ДЛЯ YOUTUBE И МОНТИРУЕТ УРОКИ. Хотите так же? Вчера я рассказал, что Claude Code теперь сам делает мне ролики для YouTube и рилс. Вы откликнулись, поэтому показываю, как это устроено. Что внутри: 🎨 картинки и предметы для кадра рисует Kie.ai, а часть я сгенерировал бесплатно у себя на маке через Qwen-Image 2.1 Turbo, про неё я уже писал 🎤 озвучка через Gemini или ElevenLabs 🎭 Hyp…
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Showing the 12 most recent of 32 posts we hold for @ungurenko_adout_digital. 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.
We recorded 1 post on @ungurenko_adout_digital 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.
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 2 November 2026 — this entry's latest reading, not the date you are reading this.
“УНГУРЕНКО | про нейросети и продажи” (@ungurenko_adout_digital), 6,453 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/ungurenko_adout_digital.
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.