Photo, posted without a caption
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Channel
@persha_itb
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,570subscribers
-6 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001981490420 |
|---|---|
| Type | Channel |
| Username | @persha_itb |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/persha_itb |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 16:43 | 1,570 | -3 |
| 13 Aug 2026, 17:53 | 1,573 | -1 |
| 10 Aug 2026, 16:14 | 1,574 | -2 |
| 7 Aug 2026, 05:53 | 1,576 | no change |
| 6 Aug 2026, 15:49 | 1,576 | first reading |
16 posts held, back to 9 July 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 2 pagesof 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 28 July 2026 |
|---|---|
| Posts held | 16 (9 July 2025 – 28 July 2026) |
| Views total | 848 |
| Reactions total | 44 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 18:00 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.
549 reactions across 16 posts, in 21 distinct kinds. The most used accounts for 42.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 235 | 42.8% | |
| ❤ | 84 | 15.3% | |
| custom 5244673458083734407 | 74 | 13.5% | |
| 🔥 | 72 | 13.1% | |
| 👍 | 20 | 3.64% | |
| 🤪 | 12 | 2.19% | |
| 💊 | 10 | 1.82% | |
| 🤨 | 8 | 1.46% | |
| 👀 | 6 | 1.09% | |
| 👏 | 5 | 0.911% | |
| 😭 | 5 | 0.911% | |
| ✍ | 3 | 0.546% | |
| 🌚 | 3 | 0.546% | |
| 🗿 | 2 | 0.364% | |
| 🤔 | 2 | 0.364% | |
| 🤯 | 2 | 0.364% | |
| 🥰 | 2 | 0.364% | |
| 🐳 | 1 | 0.182% | |
| 😈 | 1 | 0.182% | |
| 😢 | 1 | 0.182% | |
| 1 further kind | 1 | 0.182% |
Custom emoji. One row above is a 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 count beside it isTelegram’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 16 of the 16 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 549reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 9 July 2025 to 28 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.
Photo, posted without a caption
😁35🤪4custom 52446734580837344074❤1
Ми працюємо, щоб оплачувати підписки на АІ, шоб він допомагав працювати…
😁30custom 52446734580837344079❤4🐳1😢1
Так, ану діліться, хто якими модельками користується для розробки? Хто встиг fable помацати? 😏😏 Цікаво, що люди обирають і чому. Можливо щось вам компанія оплачує, стимулюючи використовувати АІ в роботі? Наприклад в мене основні зараз моделі для розробки - gpt-5.5 & Composer 2.5 (від Cursor), використовую їх в парі і результат доволі непоганий, рідко що доводиться корегувати. Але ніяк не доберуся до постійного викор…
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Коротше з логікою у звичайної (не думаючої) GPT-5 досі все не дуже, тому я б до неї звертався б тільки з простими запитами. Але Thinking модель хоча б не розчарувала... (Останній скрін) 🤔
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GPT-5: основне і цікаве • Єдине “гібридне” ядро в ChatGPT: модель сама перемикає між швидким “main” і глибшим “thinking”, а коли впираєшся в ліміти - вмикаються mini-версії. В API все простіше: три моделі (gpt-5, mini, nano) + 4 рівні reasoning, включно з новим minimal. • Контекст/вивід: до 272k токенів на вхід і до 128k на вихід (враховуючи “невидимі” reasoning-токени). Вхід - текст+зображення, вихід - текст. • Лі…
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Там цей... вийшла GPT-5 (GPT-5 Pro, якщо ти у мами мільйонер), і по показаним бенчам вона прям перемагає все, що є на ринку - https://openai.com/index/introducing-gpt-5/ Нумо тестувати (в Cursor вже додали), ще чув, що в JetBrains продукції має бути, ну і звісно в Codex CLI (але я не користувався, якщо у когось є позитивний досвід - напишіть в коментарях) А по цінам на АПІ вона навіть дешевша за Sonnet-4, яку недав…
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Чому він, а не я 😵
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Як казав один VP в моїй компанії - «Ми тільки за, щоб всі користувалися АІ в роботі, питання тільки в тому, як людям без досвіду роботи - оцінювати те, що їм радить цей АІ...» 🫵
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💥 FPV-дрони з «самонаведенням» для України. 🔹 Пентагон кидає нам 33 000 AI-модулів від Auterion - це ті самі «strike-kits», які під’єднуєш до FPV-пташки й вона сама тримає ціль до останнього кадру. 🔹 Дальність автотрекінгу ≈ 1 км, тобто оператор може спокійно каву допити, поки дрон доводить справу до BOOM. 🔹 Контракт на $50 млн - у десять разів більше, ніж попередні поставки. 🔹 У планах - 4,5 млн FPV у 2025-му, а ці…
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My American story… Як і обіцяв, розповім про свій шлях до америки і до компанії Red Hat (дивіться, який смайл намутив 🎩 😎). Можливо, комусь ця історія стане в нагоді… Все почалося в далекому 2023-му році, коли я вже доволі чітко розумів, що хотів би спробувати Штати на смак, на той момент я працював в одній львівській конторі (частково був проєкт повʼязаний з армією, до речі) і через декілька рукостискань я знайшов…
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Поки найдешевший гуманоїдний робот, якого анонсували. Виглядає прикольно, але поведінка - чисто як дядя коля під АТБ після торпєди пінного 😄 (в принципі користь відповідна) 🤔 хоча за $5900 можна взяти вічну підписку на місцевих «роботів», окрім того, що вони будуть вірними тобі - вони ще й будуть до тебе шанобливо звертатися «шановний» Берем? Відправимо на схід, як заповів Порошенко 🪖
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Новина про розвиток АІ, а саме трансформація думок по типу «намалюй мені динозавра» напряму на пікселі 🧠🎨 Колись (в далекому 2021) я сам мудрив із ЕЕГ-шоломом, знімаючи хвилі та строячи з них прогнози - тож новина зайшла на ура. Коротко про фішку: • Надягаєш бездротовий BCI (ЕЕГ + fNIRS + PPG + трекер голови). • Думаєш «хочу, щоб кіт сидів на мопеді під зоряним небом». • LoongX ловить твої альфа-бета-гамма-думки й…
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Showing the 12 most recent of 16 posts we hold for @persha_itb. 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.
Citation-graph rank — 758,342 of 1,583,249entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“Перша Айтішна Броварня” (@persha_itb), 1,570 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/persha_itb.
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.