Channel
@pypystudio
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
751subscribers
+54 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002558956154 |
|---|---|
| Type | Channel |
| Username | @pypystudio |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 1 September 2026 |
| On Telegram | t.me/pypystudio |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 09:35 | 751 | +11 |
| 25 Aug 2026, 00:44 | 740 | +11 |
| 17 Aug 2026, 20:37 | 729 | +26 |
| 10 Aug 2026, 10:28 | 703 | +6 |
| 9 Aug 2026, 11:30 | 697 | no change |
| 9 Aug 2026, 11:18 | 697 | first reading |
20 posts held, back to 19 December 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 9 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.
Live2D модель для Nukmir Ссылка на канал: twitch.tv/dukmir Дебют сегодня в 19:00 по МСК ⚔️⚔️⚔️⚔️⚔️⚔️ Особенности этой модели: • Доспех 🫢 • Геймпад с трекингом нажатий 🎮 • Шикарный хвост 😊 Художник и аниматор (риггер): #Luka_animation
Live2D модель для Nanami Ссылка на канал: twitch.tv/9nanami99 ⚔️⚔️⚔️⚔️⚔️⚔️⚔️⚔️⚔️⚔️ Особенности этой модели: • Смена цвета волос 🔥 • Одежда с переключением состояний 🥳 • Очень красивые глаза (осторожно!) 😍 Художник и аниматор (риггер): #Yuzuru Аниматор (риггер): #Glumarkoj
✔️ Live2D модель для Mozzi Ссылка на канал: twitch.tv/xxmozzixx ➿➿➿➿➿➿➿➿➿➿➿➿➿ ✔️ Особенности этой модели: • Богатый набор эмоций 👀 • Кастомные ассеты 🤗 • Крылья, хвост и ушки, которые реагируют на настроение 🦊 • Продвинутая мимика с использованием VBridger 👌 Художник и аниматор (риггер): #dormant
🖼 Дизайн будущих Live2D моделей для Wiredream Ссылка на канал: twitch.tv/wiredream Художник: #dormant
✔️ Live2D модель для wmollyw Ссылка на канал: twitch.tv/wmollyw ➿➿➿➿➿➿➿➿➿➿➿➿➿ ✔️ Особенности этой модели: • Ручки с телефоном 📱 • Крылья 💌 • Продвинутая мимика с использованием VBridger 😐 Художник: #ArsaPivo Аниматор (риггер): #LindenVal
Новый художник: #Kima 👋 У нее можно заказать: 🤩 Дизайн персонажа 🤩 Отрисовку Live2D модели
✔️ PNG модель для Nekooper Ссылка на канал: twitch.tv/nekooper Художник: #JesusHipBone
✔️ Live2D модель для dark_alexeyi666 Ссылка на канал: twitch.tv/dark_alexeyi666 Художник: #Deko Аниматор: #Mishven
Информация для тех, кто стримит с Live2D-моделью Если в последнее время ваша моделька начала сильно тормозить и сильно нагружать компьютер — попробуйте откатиться на предыдущую версию VTube Studio. 31 марта вышло обновление, в котором разработчик что-то сломал 👊. После этого у многих пользователей сильно возрастает нагрузка на компьютер, модель начинает лагать, а ПК перегружается. Как откатиться: 1. Зайдите в VTube…
✔️ PNG модель для Kum1re1 Ссылка на канал: twitch.tv/kum1re1 ➿➿➿➿➿➿➿➿➿➿➿➿➿ ✔️ Особенности этой модели: • трекинг мыши 👉 • повтор нажатия кнопок на клавиатуре 😊 • разнообразие эмоций 🍭 Художник: #くろぴこ (Kuro-piko)
✔️ Live2D модель для Dmitry Dangar Ссылка на канал: twitch.tv/dangar Художник: #LindenVal Аниматор: #pr0dya
✔️ PNG модель для RuiTach_ Ссылка на канал: twitch.tv/ruitach_ Художник: #Glumarkoj
Showing the 12 most recent of 20 posts we hold for @pypystudio. 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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“pypy studio” (@pypystudio), 751 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/pypystudio.
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.