Вот живут же люди… У меня друг в Португалии - спонтанно рванул в Амстердам, а обратно решил ехать на велике 🤯
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Channel
@nashuarit
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
1,052subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002012205479 |
|---|---|
| Type | Channel |
| Username | @nashuarit |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/nashuarit |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 12:58 | 1,052 | -4 |
| 10 Aug 2026, 12:25 | 1,056 | -1 |
| 8 Aug 2026, 00:18 | 1,057 | no change |
| 7 Aug 2026, 17:40 | 1,057 | first reading |
20 posts held, back to 1 August 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 27 July 2026 |
|---|---|
| Posts held | 20 (1 August 2025 – 27 July 2026) |
| Views total | 136 |
| Reactions total | 16 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 00:18 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.
Measured directly from 1 video 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.
506 reactions across 20 posts, in 15 distinct kinds. The most used accounts for 28.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 144 | 28.5% | |
| 👍 | 140 | 27.7% | |
| 🔥 | 126 | 24.9% | |
| ✍ | 24 | 4.74% | |
| 😁 | 24 | 4.74% | |
| 💯 | 13 | 2.57% | |
| custom 5463156670609768068 | 9 | 1.78% | |
| 🎉 | 9 | 1.78% | |
| 🤝 | 8 | 1.58% | |
| ⚡ | 2 | 0.395% | |
| 🤯 | 2 | 0.395% | |
| 🥰 | 2 | 0.395% | |
| custom 5278742461525532106 | 1 | 0.198% | |
| 🗿 | 1 | 0.198% | |
| 😎 | 1 | 0.198% |
Custom emoji. 2 of the rows above are 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 counts beside them areTelegram’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 20 of the 20 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 506reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 August 2025 to 27 July 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 @nashuarit. 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 20 most recent posts we hold for this entry, published 1 August 2025 to 27 July 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.
Вот живут же люди… У меня друг в Португалии - спонтанно рванул в Амстердам, а обратно решил ехать на велике 🤯
🔥9❤5🤯2
Даже богатырю нужен отдых, говорила мне бабушка. А учитывая что я совсем не богатырь - пропал надолго 👀 После прошлого полезного поста решил глубже закопаться в AI-агентов. Благо Владилен запустил клуб по AI и шерингу знаний по нейросеткам - залетел, настроил OpenClaw, поднял всё на VPS, подключил Telegram бота и начал активно экспериментировать. Модель использовал GLM, топ модели было жалко потерять из-за возможны…
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🥰
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Развитие круто, но про любовь не забываем, кста 😜
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Обучение модели компьютерного зрения в домашних условиях. Часть 2 Этап обучения - Самый долгий этап в зависимости от размера датасета и мощности железа Время обучения по нашим замерам: Windows, RTX 4070: ~400 изображений - около 3 часов. Mac M4: ~4000 изображений - заняло два дня... По метрикам после 20 эпох: mAP50: ~0.45 Precision: ~0.67 Recall: ~0.4 Маловато, но для прототипа и учебной задачи - более чем рабочий…
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Обучение модели компьютерного зрения. За один вечер, в домашних условиях, без регистрации, смс и всего такого 😉 Без облаков, без AWS и без ML-кластера - только твой ноутбук. Будем разбирать обучение на примере личных машин: ПК на windows c RTX 4070 на борту и MacBook Pro на обычном M4 Что будет в этом посте: - Поднимем окружение для обучения YOLO на Windows и macOS - Проверим работу предобученной модели - Скачаем …
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Что я использую из нейронок 🧠 Я совсем не гик по этой теме, можно сказать обычный "промтер". Единственное где я что-то настраивал и заморачивался это Claude. Если интересно как - дайте знать. Вообще, я стараюсь пробовать всё до чего могу дотянуться относительно "малой кровью". Список будет начинаться из того что проще и дешевле получить. Как использую и моё краткое "имхо" по ним, с условием, что платным ошибки не …
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В последнее время много у кого вижу тему автоматизации откликов на hh. Наверное, тема стала чуть горячее после того как хедхантер прикрыл свою апишку в декабре 2025. Кто-то пишет простых ботов, кто-то автоматизирует через Playwright. Уверен есть умельцы, кто свои e2e тесты под это затачивает ) Видел пост у Саши Стародубцева, он вообще n8n автоматизацию замутил... 🤯 А я в очередной раз хочу похвалить браузер Комет. …
🔥15👍8✍4❤1
Всем привет, давно не виделись ) Год был непростым 😁 А непростым я его сделал сам. Поставил слишком большие цели и по пути добавлял новые. Как обычно выполнил не все. Но сделал много. Считаю, делал всё что в моих силах. Сам год был годом роста. Хотя, наверное, каждый год должен быть таким. Ведь все мы не стоим на месте. Из основного - выполнил цели по доходу. Но большие результаты затащили и каплю дёгтя. Сюда ред…
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На работе предновогодний завал. Но у меня дошли наконец руки довести до релиза свою поделку, про которую анонсировал в посте про сварку. Так сказать: сделал за час в течение пары месяцев ) Представляю вашему вниманию - стойло стойка 😁 для подвижных VR игр Для чего мне она понадобилась и стоило ли тратить кучу сил и времени. Я говорил о своей проблеме - что не могу регулярно заниматься какой-то физической активност…
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Вчера выступал на оффлайн мероприятии "Российский промышленный форум" 🏭 который проходил 12 - 14 ноября в Уфе. Пригласили спикером от Уфимского государственного нефтяного технического университета рассказать о своем опыте реализации приложения для распознавания средств индивидуальной защиты. Проект интересен тем, что я реализовал приложение на стыке двух разных сфер, в которых обладаю экспертизой: разработка и пром…
❤19🔥11👍10😎1
Управление людьми, процессами и ожиданиями Похоже, будто я в лидерские позиции двинул? Ан нет, это мы Артёмом Харченковым решили замутить взаимопиар. Мы познакомились с ним в сообществе Саши Черкасова, вот делал посты от клуба. А заголовок - это темы на которые Артём делится экспертизой. Теперь об Артёме: ⭐️ Руководитель команды разработки из 50 человек, которая включает четыре департамента: разработку, тестирован…
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Showing the 12 most recent of 20 posts we hold for @nashuarit. 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.
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.
@nashuarit named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“В АйТи из Уфы | Раушан Каримов” (@nashuarit), 1,052 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/nashuarit.
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.