Channel
@qndriy_interview
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
909subscribers
-1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002233633341 |
|---|---|
| Type | Channel |
| Username | @qndriy_interview |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/qndriy_interview |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 01:05 | 909 | -1 |
| 7 Aug 2026, 11:33 | 910 | no change |
| 7 Aug 2026, 11:15 | 910 | first reading |
20 posts held, back to 28 October 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.
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 4 July 2026. An engagement rate over an empty window would be a number about nothing.
160 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 55.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 89 | 55.6% | |
| 🔥 | 28 | 17.5% | |
| 👍 | 15 | 9.38% | |
| 🏆 | 7 | 4.38% | |
| 👏 | 7 | 4.38% | |
| 😱 | 4 | 2.50% | |
| 🤯 | 4 | 2.50% | |
| 🍾 | 3 | 1.88% | |
| 🥰 | 2 | 1.25% | |
| 🎉 | 1 | 0.625% |
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 19 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 160reactions 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 28 October 2025 to 4 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.
Вже друге інтервю з учнем Романом 🎓 На момент запису першого інтервю він заробив 1900$ на історіях польською мовою, АЛЕ на днях ми з ним ще раз зідзвонились і виявляється, що за ці 4 місяці він заробив вже 600.000 гривень і підняв RPM до більш ніж 20$ за тисячу переглядів! Якщо хочеш теж, навчитись робити такі результати — заповняй анкету на навчання!👇 https://forms.gle/qwD7QM4SBsGL9dse7 Тут ми за руку приведемо т…
❤3
👨💻 Учень: Сергій 📍 Точка А: працює в таксі 🎓 Результат після навчання: вийшов на монетизацію за 2 тижні і заробив 1100$ на ніші: поради для літніх людей нейромережами
👨💻 Учень: Костя 📍 Точка А: працює на пошті, немає досвіду в ютубі 🎓 Результат після навчання: заробив 1200$ за перший місяць з монетизації на ніші АІ історій про тварин
👏2🔥2🏆1🤯1
👨💻 Учень: Сергій, 24 роки 📍 Точка А: військовий, немає досвіду в ютубі 🎓 Результат після навчання: заробив 1900$ = 81.000грн за перший місяць з монетизації на ніші історій з RPM 14$
❤2👏2🔥2
👨💻 Учень: Богдан, 26 років 📍 Точка А: працює закордоном на заводі, немає досвіду в ютубі 🎓 Результат після навчання: почав створювати нейронками філософські відео для жінок українською мовою з RPM 4.5$ і заробив за перший місяць з монетизації 1131$
👍7❤4🏆2
👨💻 Учень: Ілля, 18 років 📍 Точка А: студент, немає досвіду в ютубі 🎓 Результат після навчання: навчився створювати відео нейромережами та заробив 3500$ = 150.000грн з монетизації на ніші історій
❤8🔥5
👨💻 Учень: Роман 📍 Точка А: працює в ІТ, немає досвіду в ютубі 🎓 Результат після навчання: заробив 1900$ = 81.000грн за місяць з монетизації на ніші історій польською мовою з RPM 10$
🔥4
👨💻 Учень: Денис, 17 років 📍 Точка А: займався монтажем 🎓 Результат після навчання: навчився створювати відео в ніші shorts історій, набрав більше 200.000.000 переглядів, підключив 2 канали на монетизацію, на піку заробляє по 40.000 гривень в день, а сумарно за один місяць з монетизації заробив 10.000$, витрачаючи 1,5 години в день на створення відео
❤11
👨💻 Учень: Едік, 17 років 📍 Точка А: не було досвіду в ютубі 🎓 Результат після навчання: обрав нішу Roblox Shorts, вийшов на монетизацію менше ніж за місяць, набрав 117.000.000 переглядів, 531.000 підписників і заробив 100.000 гривень за перші 2 тижні, приділяючи 2 години в день на створення відео
❤11
👨💻 Учень: Степан, 32 роки 📍 Точка А: до ютубу працював на будові 🎓 Результат після навчання: навчився створювати контент нейромережами, підключив монетизацію за 4 тижні і за наступні 1,5 місяці заробив з каналу 543.000 гривень = 12.800$
👍5❤3🤯2👏1😱1
👨💻 Учень: Міша 📍 Точка А: працює в IT компанії, ніколи не займався ютубом 🎓 Результат після навчання: навчився створювати контент нейромережами, вибрав нішу аудіо книг по саморозвитку, підключив монетизацію і заробив з каналу 46.000 гривень, RPM 12$
❤4🎉1🏆1👏1🔥1🥰1
👨💻 Учень: Михайло 📍 Точка А: студент 🎓 Результат після навчання: навчився створювати контент нейромережами, вивів 3 канали на монетизацію в історичній ніші на італійській мові, і заробив з них 1500$
❤3🏆2👏1
Showing the 12 most recent of 20 posts we hold for @qndriy_interview. 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 — 210,139 of 1,481,217entries 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“qndriy | інтервʼю з учнями” (@qndriy_interview), 909 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/qndriy_interview.
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.