✍️ Михаил Шуфутинский печатает
😱5❤2😁2

Channel
@NFTshka_news
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
16,809subscribers
-1,074 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002358584209 |
|---|---|
| Type | Channel |
| Username | @NFTshka_news |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/NFTshka_news |
Gaming — 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 69% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 06:16 | 16,809 | -64 |
| 16 Sept 2026, 04:00 | 16,873 | -86 |
| 14 Sept 2026, 10:21 | 16,959 | -67 |
| 12 Sept 2026, 16:59 | 17,026 | -38 |
| 10 Sept 2026, 15:38 | 17,064 | -99 |
| 7 Sept 2026, 15:36 | 17,163 | -121 |
| 4 Sept 2026, 16:20 | 17,284 | -110 |
| 3 Sept 2026, 02:34 | 17,394 | -76 |
| 2 Sept 2026, 02:04 | 17,470 | -71 |
| 1 Sept 2026, 03:15 | 17,541 | -71 |
| 31 Aug 2026, 04:43 | 17,612 | -1 |
| 30 Aug 2026, 07:13 | 17,613 | -24 |
| 29 Aug 2026, 03:54 | 17,637 | -18 |
| 28 Aug 2026, 04:35 | 17,655 | -36 |
| 27 Aug 2026, 07:28 | 17,691 | -27 |
| 26 Aug 2026, 04:49 | 17,718 | -43 |
| 25 Aug 2026, 02:07 | 17,761 | -109 |
| 23 Aug 2026, 16:46 | 17,870 | +102 |
| 22 Aug 2026, 03:54 | 17,768 | -24 |
| 20 Aug 2026, 22:52 | 17,792 | first reading |
56 posts held, back to 22 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 54 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. It is computed over the 11 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 56 (22 July 2026 – 2 September 2026) |
| Views total | 5,332 |
| Reactions total | 74 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 09:18 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 5 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.
323 reactions across 47 posts, in 12 distinct kinds. The most used accounts for 49.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 161 | 49.8% | |
| 👏 | 51 | 15.8% | |
| 👍 | 50 | 15.5% | |
| 🔥 | 26 | 8.05% | |
| 😁 | 7 | 2.17% | |
| 😱 | 7 | 2.17% | |
| 🥰 | 7 | 2.17% | |
| 🤡 | 6 | 1.86% | |
| 🐳 | 3 | 0.929% | |
| 👎 | 2 | 0.619% | |
| 💊 | 2 | 0.619% | |
| 🌭 | 1 | 0.31% |
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 47 of the 56 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 323 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 22 July 2026 to 2 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.
✍️ Михаил Шуфутинский печатает
😱5❤2😁2
🎁 Кубки активно скупают За последние пару дней ценители и флипперы продолжают собирать кубки с олимпиад. Сейчас в профиле в @anan собрано 6 кубков на нескольких красивых фонах: Algorithm Cup 7 Algorithm Cup 87 Algorithm Cup 115 Algorithm Cup 155 Algorithm Cup 157 Algorithm Cup 158 А у @DarKerOZ уже 3 кубка: Algorithm Cup 78 Algorithm Cup 110 Algorithm Cup 176 Собирают под дальнейшую перепродажу или собирают краси…
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🐳 Заход на памп или на скам? Сегодня новый кит пополнил баланс в Portals на 765 818 TON ~$1 034 165 Как сообщают паблики: Адрес, с которого сделан перевод, замечен впервые, а подобных крупных депозитов не было с 6 июля Готовятся к новому откупу подарков или нашли уязвимость и обнесут? ➖➖➖➖➖➖➖➖➖➖ Portals ❤️ MRKT 🎁 Дешевые звезды ⭐️
❤3👍2👏2🌭1
👀 Деанон владельцев кубков Кубки с ИИ-олимпиад теперь стали доступны для продажи на Telegram-маркете Вместе с этим сняли заглушку с поля «Владелец». Однако поле останется прежним, если подарок у первоначального владельца. ➖➖➖➖➖➖➖➖➖➖ Portals ❤️ MRKT 🎁 Дешевые звезды ⭐️
👏3❤2👍2
🪙 Вторая продажа кубка Сегодня выкупили второй золотой кубок на золотом фоне #29 за 4730 GRAM И его уже пытаются перепродать за 25 000 GRAM Продаст в плюс? ➖➖➖➖➖➖➖➖➖➖ Portals ❤️ MRKT 🎁 Дешевые звезды ⭐️
❤3👏3
Кубок #7 продали за 20400💲 ➖➖➖➖➖➖➖➖➖➖ Portals ❤️ MRKT 🎁 Дешевые звезды ⭐️
❤3👍2🔥2
☄️ Расширили лимит активных NFT юзернеймов на профиле до 20, но люди с помощью бага умудряются ставить сразу 50 юзеров ➖➖➖➖➖➖➖➖➖➖ Portals ❤️ MRKT 🎁 Дешевые звезды ⭐️
❤7👍2👏2
🔥 12 лет страданий и награда в 61 ВТС Британец, который с 2014 года не мог вернуть Биткоины из закрытия биржу Intersango, на которой он их купил, наконец-то смог получить к ним доступ Сейчас эта сумма оцениваются примерно в $5млн. Часть из нее он планирует продать и купить большой дом для семьи, а остальное оставить под дальнейшее хранение ➖➖➖➖➖➖➖➖➖➖ Portals ❤️ MRKT 🎁 Дешевые звезды ⭐️
❤5
🎁 Plush Pepe меньше $2 На днях заметили удивительное, 🎁 Plush Pepe была продана через оффер от спам-бота на рекордные для нее $1.88 Судя по всему она ушла по невнимательности у одно холдеров и уже перепродана ➖➖➖➖➖➖➖➖➖➖ Portals ❤️ MRKT 🎁 Дешевые звезды ⭐️
🏦 Кошелёк Gram совсем скоро Валидаторы официально приняли код будущего Telegram Wallet и добавили его в конфигурацию основной сети TON К кошельку можно будет привязать Telegram ID, который сохранится в смарт-контракте Удобно, конечно, для восстановления и 2FA, но вот по анонимности и безопасности средств пока вопросы ➖➖➖➖➖➖➖➖➖➖ Portals ❤️ MRKT 🎁 Дешевые звезды ⭐️
❤4🔥2
🍏Презентация Apple 9 сентября Apple официально подтвердила проведение осенней презентации, которая состоится 9 сентября в 20:00 по мск. Известно, что Apple готовится впервые показать: • первый складной iPhone - ожидается книжный формат с экраном ~7.6 дюйма в разложенном виде. • покажут только флагманскую линейку iPhone 18 Pro и iPhone 18 Pro Max. • Новые Apple Watch Series 12 и Apple Watch Ultra 4. А вот базовый i…
❤4👍2
⭐️Звёзды по лимитам Fragment привязал минимальную сумму перевода звёзд к стоимости платного сообщения у получателя Теперь на аккаунт Павла Дурова @monk нельзя отправить подарки. Также для отправки звёзд через Fragment установлены минимальные суммы: Павел Дуров - 11.250 ⭐️ Roxman - 35.000 звезда Действует пока только на их юзернеймы, возможно в будущем добавят и для всех ➖➖➖➖➖➖➖➖➖➖ Portals ❤️ MRKT 🎁 Дешевые звез…
❤4
Showing the 12 most recent of 56 posts we hold for @NFTshka_news. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“🎁 NFT-шка” (@NFTshka_news), 16,809 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/NFTshka_news.
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.