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Channel
@genius_space
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
349,974subscribers
-15,941 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 316,228–1,000,000.
| Telegram ID | -1001226633268 |
|---|---|
| Type | Channel |
| Username | @genius_space |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 38 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/genius_space |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 91% 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 |
|---|---|---|
| 14 Oct 2026, 17:07 | 349,974 | -543 |
| 13 Oct 2026, 06:10 | 350,517 | -794 |
| 9 Oct 2026, 02:41 | 351,311 | -989 |
| 4 Oct 2026, 15:58 | 352,300 | -1,647 |
| 26 Sept 2026, 15:15 | 353,947 | -1,680 |
| 19 Sept 2026, 14:39 | 355,627 | -563 |
| 17 Sept 2026, 04:56 | 356,190 | -528 |
| 15 Sept 2026, 05:37 | 356,718 | -220 |
| 13 Sept 2026, 16:56 | 356,938 | -380 |
| 11 Sept 2026, 20:16 | 357,318 | -618 |
| 9 Sept 2026, 06:39 | 357,936 | -772 |
| 6 Sept 2026, 00:40 | 358,708 | -601 |
| 3 Sept 2026, 18:21 | 359,309 | -531 |
| 2 Sept 2026, 09:17 | 359,840 | -222 |
| 1 Sept 2026, 07:15 | 360,062 | -351 |
| 31 Aug 2026, 07:53 | 360,413 | -221 |
| 30 Aug 2026, 05:28 | 360,634 | -221 |
| 29 Aug 2026, 04:54 | 360,855 | -366 |
| 28 Aug 2026, 06:24 | 361,221 | -410 |
| 27 Aug 2026, 03:26 | 361,631 | first reading |
28 posts held, back to 11 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 141 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.
| Window | Rolling 30 days · latest post in window 13 October 2026 |
|---|---|
| Posts held | 28 (11 July 2026 – 13 October 2026) |
| Views total | 469,400 |
| Reactions total | 5,311 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Oct 2026, 10:19 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 4 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.
17,577 reactions across 28 posts, in 15 distinct kinds. The most used accounts for 53.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9,395 | 53.5% | |
| 🔥 | 3,625 | 20.6% | |
| 😁 | 3,372 | 19.2% | |
| 👍 | 516 | 2.94% | |
| 👏 | 170 | 0.967% | |
| 👀 | 130 | 0.74% | |
| 🙏 | 79 | 0.449% | |
| 😱 | 78 | 0.444% | |
| 🥰 | 69 | 0.393% | |
| 🤩 | 63 | 0.358% | |
| 👌 | 40 | 0.228% | |
| 👨💻 | 16 | 0.091% | |
| 🍾 | 12 | 0.068% | |
| ⚡ | 9 | 0.051% | |
| 🎉 | 3 | 0.017% |
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 28 of the 28 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 17,577 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 11 July 2026 to 13 October 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.
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Друзі, знову ми з корисним контентом з нашої платформи Відправляємо фрагмент відео із розборами правильних і неправильних супровідних листів. А ви до речі додаєте їх? ❤️ - якщо так 🔥 - якщо ні Побачимо кого більшість)
❤145🔥61👀15😱4
Друзі, бажаємо вам приємних дрібничок цього тижня Бережіть себе і любіть себе ❤️
❤709🔥112👍34👌13⚡9
Як продати продукт із «жахливим смаком» удвічі дорожче за Coca-Cola без бюджету на рекламу? Наприкінці 80-х Дітріх Матешиць вирішив вивести австрійський енергетик на ринок Європи. Перші фокус-групи були провалом: люди казали, що це «сироп від кашлю» і «рідкі ліки». Грошей на ТВ-рекламу чи білборди не було взагалі. Класичні маркетологи радили зробити смак солодшим і здешевити напій. Але бренд пішов проти всіх правил…
🔥267❤112👏59😱42🤩13
Якою має бути шапка резюме, щоб вас помітили: неочевидні лайфхаки від рекрутерів Друзі, окрім того що ми зробили великий редизайн платформи і вчитися стало ще зручніше, підготували для вас апдейт і тут. Вирішили ділитися нарізками корисних відео, які допомагатимуть вам бути ефективнішими в роботі і житті. Тривалість буде 5-10 хвилин, щоб було зручно дивитися в будь-якому місці і в будь-який час. Сьогодні лайфхаки…
❤311🔥53👍41👏11👌3
Колись у нас працював хлопець Міша. Класний взагалі. Так от, одного разу ми робили чергову бомбезну вечірку в Києві (так, раніше ми таке робили для нашої команди і клієнтів), чи то Хелловін, чи щось таке. Ну, окрім того, що Міша був у латексному костюмі Бетмена… він так нормально напився, а коли ми вже їхали назад в авто — не витерпів і попросив зупинитися. Вийшов Міша на світлофорі під найближчий стовп, а всі ма…
😁771❤107👀26🔥19👌11
Знаєте історію, як українці перетворили опале листя восени на пакувальні пакети та еко-папір? Історія Re-leaf Paper почалася із звичайного кабінета біології на Закарпатті. Валентин Фречка звернув увагу, як розкладається листя в лісі: м'якість зникає, а волокнистий «скелет» залишається. Виникло просте запитання: чому б не видобути з цього целюлозу? Перші експерименти були максимально побутовими — у хід пішли кухонн…
❤607🔥206👍55👏21🙏7
А ви знали, що суперкари Lamborghini з'явилися через образу виробника тракторів? Ферруччо Ламборгіні побудував успішний бізнес на сільгосптехніці й міг дозволити собі найкращі машини свого часу, зокрема й спорткари Ferrari. Проте зчеплення в його купленому Ferrari 250 GT постійно ламалося. Будучи механіком, Ламборгіні розібрав вузол самостійно й виявив: у дорогій спортивній машині стоїть точно таке ж зчеплення, як…
❤444🔥175👍66🤩9👏4
Друзі, підготували для вас красивенні шпалери на телефон 😍 Розбирайте. https://drive.google.com/drive/folders/1dmMdoT3_DCBDaBmHXe3KZgXTwIMpfgsy
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Як зіпсована вафельниця назавжди змінила світ спорту Нам здається, що у великих компаніях кожне рішення виважене і формується на зборах акціонерів. Але не завжди) У 1971 році співзасновник Nike (тоді ще Blue Ribbon Sports) і тренер з легкої атлетики Білл Бауерман ламав голову над тим, як зробити кросівки для бігунів легшими, але з хорошим зчепленням. Одного ранку він подивився, як дружина готує вафлі і зрозумів, …
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Бажаємо, щоб робота була в радість 😀🙌
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Джиніуси, готові до найбільшої digital-конференції країни? ✨ Лабораторія Онлайн Бізнесу 2026, на яку щороку чекають десятки тисяч підприємців, маркетологів та ТОП-менеджерів, відбудеться уже 5-9 жовтня: https://lob.com.ua/ Будемо говорити, як збільшити продажі та кількість лідів, грамотно управляти командою і бізнесом в період війни, виходити нанові ринки, і не тільки. ✨Ви почуєте поради лідерів ринку, які хочуть…
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Showing the 12 most recent of 28 posts we hold for @genius_space. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
А що у нас по власним справам? Маленьке опитування
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 28 most recent posts we hold, published 11 July 2026 to 13 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 25 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 31 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
2 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“GENIUS.SPACE” (@genius_space), 349,974 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/genius_space.
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.