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Channel
Soft Skill | Навыки
@iAmbitious
On this record: Topic · Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry
126,282subscribers
-113 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001124171565 |
|---|---|
| Type | Channel |
| Username | @iAmbitious |
| Description | Сообщество экспертов и профессионалов 🚀 👉 Купить рекламу https://reklama.expert-book.pro/telegram Менеджер @JaMasha 📖 Реклама внутри книги https://expert-book.pro/pp 🥇 Книга, которая усиливает ваш авторитет: https://expert-book.pro/ |
| Created | 28 September 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 24 October 2026 |
| Measurements held | 49 |
| Confirmed unchanged | 1 time, most recently 24 October 2026 |
| On Telegram | t.me/iAmbitious |
Topic
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 9 August 2026 and assigned it the closest of 31 fixed categories, at 54% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Oct 2026, 19:30 | 126,282 | -49 |
| 23 Oct 2026, 20:00 | 126,331 | -36 |
| 22 Oct 2026, 21:51 | 126,367 | -21 |
| 21 Oct 2026, 17:28 | 126,388 | +13 |
| 20 Oct 2026, 11:27 | 126,375 | -20 |
| 19 Oct 2026, 08:47 | 126,395 | -11 |
| 18 Oct 2026, 08:41 | 126,406 | +63 |
| 17 Oct 2026, 10:16 | 126,343 | -7 |
| 16 Oct 2026, 07:37 | 126,350 | +32 |
| 15 Oct 2026, 09:16 | 126,318 | +48 |
| 14 Oct 2026, 10:40 | 126,270 | +88 |
| 12 Oct 2026, 23:18 | 126,182 | +52 |
| 8 Oct 2026, 13:58 | 126,130 | -16 |
| 4 Oct 2026, 05:02 | 126,146 | -116 |
| 25 Sept 2026, 11:18 | 126,262 | +3 |
| 17 Sept 2026, 10:58 | 126,259 | +72 |
| 15 Sept 2026, 12:55 | 126,187 | -71 |
| 13 Sept 2026, 22:57 | 126,258 | +45 |
| 12 Sept 2026, 02:16 | 126,213 | +31 |
| 9 Sept 2026, 14:39 | 126,182 | first reading |
Engagement
47 posts held, back to 12 June 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 162 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.88%
- avg views ÷ 126,282 subscribers
- Avg views / post
- 6,160
- 12 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 12
- of 47 held
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 22 October 2026 |
|---|---|
| Posts held | 47 (12 June 2026 – 22 October 2026) |
| Views total | 73,880 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 01:57 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.
What this channel posts
- Photos
- ≈1,310
- Videos
- ≈8
- Links
- ≈601
Lifetime counters from Telegram’s own channel header, read 25 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Advertising
- Ad load
- 2.13%
- 1 of 47 posts carry an ad marker
- Regulatory tokens
- 0
- none — marked by hashtag only
- Median views · ads
- 7,270
- over 1 measured post
- Median views · rest
- 7,650
- over 46 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 47 most recent posts we hold, published 12 June 2026 to 22 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Запустить свой мозг в космос Знаешь, как часто мы говорим о прокачке своих навыков? Вот и в мире технологий происходит то же самое. Компании тестируют, как их разработки ведут себя в самых неожиданных условиях. Прямо сейчас на орбите работает оборудование, проходящее уникальную проверку. Это не про масштаб, а про выход из зоны комфорта. Наши soft skills — это те же процессоры. Их нужно периодически запускать в "кос…
Мы вообще удивительно хорошо умеем оформлять возвраты. Не подошёл размер — вернуть. Не понравился цвет — вернуть. Передумал — вернуть. С людьми, решениями и собственной жизнью чуть сложнее. На этом и построен «Кот из отдела возвратов». В огромной компании появляется кот, который начинает садиться на коробки именно тех клиентов, чья настоящая причина возврата совсем не совпадает с той, что написана в анкете. И пос…
Иногда кажется, что мир ИИ ускоряется Очередная новинка от OpenAI: круглосуточные автономные помощники, которые могут общаться голосом и текстом в самых разных приложениях. Похоже, скоро понятие «умной среды» станет повседневным. Важно не растеряться в этом потоке и понять, что это меняет для нас лично. Развитие технологий ставит во главу угла именно наши человеческие навыки. Умение задавать правильные вопросы, раб…
Зачем книгам нужен этот странный номер Кажется, что ISBN — это чистая бюрократия, но на деле это легитимность и прямой путь к читателю. Разобрали, как правильно оформить выходные данные, получить штрихкод и избежать проблем с обязательными экземплярами. Узнайте всё о технических деталях.
А ЧТО, ЕСЛИ ВОЗВРАТУ ПОДЛЕЖИТЕ ВЫ САМИ? Матвей работает в обычном пункте выдачи. Люди приносят обратно платья, микрофоны, книги, подарки и вещи, которые ещё вчера должны были сделать их счастливее. Причины всегда приличные: «не подошло», «передумал», «не моё». Пока однажды в пункт не приезжает коробка без номера. Внутри — чёрно-белый кот, старая книга учёта и карточка возврата самого Матвея. Причина: «Не подошёл се…
Как нейросеть учится действовать в новых условиях Любопытный эксперимент провели инженеры, посадив за руль автомобиля несколько нейросетей. По сути, им дали задачу, с которым они не сталкивались раньше — управлять машиной. Их не учили водить, они просто получали данные с датчиков и должны были адаптироваться. Только одна модель справилась с маршрутом полностью, показав умение учиться на лету. Это важный урок для ра…
Мозг ленив, а дедлайны полезны Легенда гласит, будто Менделееву таблица приснилась. Но правда в том, что её подстегнул жёсткий дедлайн на учебник и необходимость объяснять сложное просто. Это яркий пример того, как рамки стимулируют прорыв, а не душат его. Новая книга показывает парадокс: избыток свободы и ресурсов часто ведёт в тупик. История одной перспективной компании, собравшей звёздных инженеров, — тому подтв…
Книга вышла и легла на склад: как предпринимателю встроить ее в продажи за 90 дней Книга вышла, но сама в продажи не пойдет. План на 90 дней: кому передавать экземпляры, что считать результатом и как не превратить тираж в мебель Источник: © Т-Бизнес секреты
Как не промахнуться с соавтором для книги Ошибка в выборе соавтора или гострайтера может стоить больших денег, нервов и погубить даже самую сильную идею. В тексте разобрали ключевые роли, сравнили по правам, сроку и цене ошибки, собрали порядок действий для проверки исполнителя. Это поможет избежать разочарования и сохранить ресурсы. Разберитесь в видах сотрудничества.
Как технологии помогают прокачивать гибкость В Apple готовят обновление для приложения «Здоровье». Оно начнёт давать персонализированные советы и показывать оценку вашего биологического возраста. Интересно, что оно сможет анализировать гибкость и баланс по видео с камеры. Это отличный пример того, как цифровые инструменты берут на себя роль личного тренера. Они делают развитие навыков более доступным и наглядным. Т…
Иногда мне кажется, что мы слишком хорошо научились всё возвращать. Не подошло — вернул. Передумал — отменил. Не понравилось — закрыл. Человек, работа, город, отношения, мечта. Мы научились оформлять отказ так аккуратно, что иногда сами перестаём понимать, где решение, а где обычный страх, которому просто выдали красивую формулировку. Я много думал об этом, пока писал «Кота из отдела возвратов». В книге люди приход…
Showing the 12 most recent of 47 posts we hold for @iAmbitious. 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.
Mentions
Named by 2 registered channels — 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.
Channels Telegram recommends alongside this one
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.
@BigBrains · 63,394#1
@skillget · 80,548#2
@DELO_govorim · 68,481#3
@iznytri · 80,030#4
@profi_kursi_gaidi · 93,735#5
@marketolog_marketing · 82,209#6
@zapwork · 127,408#7
@effective_official · 43,636#8
@Kultura_obuchenie · 50,492#9
@SilaSlov · 118,062#10
@Razvitie_sila_voli · 20,160#11
@flibusta_anglysky · 367,414#12
@communication_department · 40,912#13
@free_edu · 307,640#14
@motionchek · 42,343#15
@Psihologiya_samorazvitie · 49,747#16
@Knizhnaya_polka_marketologa · 35,054#17
@frilans_rabota_vakansii · 35,969#18
@ikyklovod · 69,262#19
@Vnaime_norm · 80,578#20
@marketolog_digital · 48,628#21
@kapital_amerika · 30,372#22
@Prodavec_peregovory · 36,978#23
@moe_obrazovanie · 226,331#24
@ThinkCritical · 47,106#25
@artemkodolov · 626#26
@Energiya_molodost · 50,706#27
@soft_skillz · 5,255#28
@knigant · 6,081#29
@teamshapers · 5,826#30
@educationfree · 8,942#31
@psihoa · 13,733#32
@HR_Perezagruzka · 7,043#33
@ingrp_ru · 1,535#34
@wellbeingclub2020 · 2,293#35
@Psikhologiaz · 24,624#36
@nezavhr · 3,256#37
@worklis · 68,069#38
@startup_club24 · 76,152#39
@work_finde · 87,053#40
@Cena_uspeha · 57,927#41
@ikniga · 831,208#42
@Pisatel_rasskazy · 89,002#43
@Joga_dlya_nachinayushchih · 17,500#44
@Meditaciya_dlya_nachinayushchih · 17,858#45
@podkasti_audioknigi · 85,098#46
@MargulanSeissembai · 208,119#47
@hr2hr · 2,930#48
@defolt_finansist · 49,489#49
@iRukovoditel · 31,034#50
@lektorium20 · 114,653#51
@ruGrammar · 120,694#52
@podkasty24 · 187,323#53
@Perevod_s_bogatogo · 17,472#54
@marketpsy · 172,803#55
@iRukovoditelStudy · 2,512#56
@hacks_excel · 283,831#57
@PsyEducation · 58,985#58
@radislavgandapascom · 52,766#59
@rabotalogia · 4,928#60
@edusondaily · 20,140#61
@super_recruitment · 3,534#62
@HRpeople · 10,736#63
@starostina_iuliia · 5,670#64
@emergency_HR · 8,458#65
@talent_rocks · 4,847#66
@komandos_n1 · 15,141#67
@zanpravo · 9,961#68
@talent_box_ttisi · 1,193#69
@hr_perfect_chat · 9,692#70
@mariiabramova · 874#71
@myspacelove · 10,917#72
@YourMustRead · 25,673#73
@ba_sa_analytics · 52,675#74
@yoga_zdorovie · 8,666#75
@eelizarowa · 2,715 (as read 13 August 2026)#76
@worldthought · 175,659#77
@Star_Ushki · 178#78
@bankiforme · 935#79
@tobesuccessful · 3,004#80
@WomanXXI · 117,635#81
@masloyvtg · 8,863#82
@abziyka · 425#83
@yuliatitel · 4,759#84
@Hey_HR · 14,188#85
@AphorismTG · 107,256#86
@laforzza · 665#87
@PrimeCoachUz · 812#88
@shagvpered_nsk · 213#89
@anglysky_yazyki · 57,389#90
@iskra_txt · 277#91
@creativille · 2,454#92
@SpotOneSchool · 916#93
@leginf · 11,020#94
@englishforkids_tg · 944#95
Read from Telegram’s recommendation API, most recently 13 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.
Appears in Telegram’s recommendations for other channels
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.
@Razvitie_sila_voli · 20,160
Telegram ranks this channel #1 of 68 here — alongside 67 others — read 27 September 2026
@motionchek · 42,343
Telegram ranks this channel #1 of 88 here — alongside 87 others — read 28 August 2026
@Kultura_obuchenie · 50,492
Telegram ranks this channel #1 of 79 here — alongside 78 others — read 24 August 2026
@DELO_govorim · 68,481
Telegram ranks this channel #1 of 69 here — alongside 68 others — read 20 August 2026
@effective_official · 43,636
Telegram ranks this channel #2 of 85 here — alongside 84 others — read 28 August 2026
@skillget · 80,548
Telegram ranks this channel #2 of 88 here — alongside 87 others — read 18 August 2026
@BigBrains · 63,394
Telegram ranks this channel #3 of 82 here — alongside 81 others — read 21 August 2026
@ikyklovod · 69,262
Telegram ranks this channel #3 of 86 here — alongside 85 others — read 20 August 2026
@marketolog_marketing · 82,209
Telegram ranks this channel #3 of 95 here — alongside 94 others — read 18 August 2026
@profi_kursi_gaidi · 93,735
Telegram ranks this channel #3 of 77 here — alongside 76 others — read 16 August 2026
@communication_department · 40,912
Telegram ranks this channel #4 of 74 here — alongside 73 others — read 29 August 2026
@Psihologiya_samorazvitie · 49,747
Telegram ranks this channel #4 of 82 here — alongside 81 others — read 25 August 2026
@Cena_uspeha · 57,927
Telegram ranks this channel #4 of 50 here — alongside 49 others — read 23 August 2026
@iznytri · 80,030
Telegram ranks this channel #5 of 85 here — alongside 84 others — read 18 August 2026
@Knizhnaya_polka_marketologa · 35,054
Telegram ranks this channel #6 of 83 here — alongside 82 others — read 2 September 2026
@zapwork · 127,408
Telegram ranks this channel #6 of 96 here — alongside 95 others — read 13 August 2026
@Vnaime_norm · 80,578
Telegram ranks this channel #7 of 94 here — alongside 93 others — read 18 August 2026
@frilans_rabota_vakansii · 35,969
Telegram ranks this channel #8 of 74 here — alongside 73 others — read 1 September 2026
@Pisatel_rasskazy · 89,002
Telegram ranks this channel #10 of 69 here — alongside 68 others — read 17 August 2026
@SilaSlov · 118,062
Telegram ranks this channel #12 of 91 here — alongside 90 others — read 14 August 2026
@podkasti_audioknigi · 85,098
Telegram ranks this channel #13 of 65 here — alongside 64 others — read 18 August 2026
@defolt_finansist · 49,489
Telegram ranks this channel #14 of 64 here — alongside 63 others — read 23 August 2026
@kapital_amerika · 30,372
Telegram ranks this channel #16 of 71 here — alongside 70 others — read 6 September 2026
@Prodavec_peregovory · 36,978
Telegram ranks this channel #19 of 88 here — alongside 87 others — read 31 August 2026
This channel appears in 35 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.
Cite this entry
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 24 October 2026 — this entry's latest reading, not the date you are reading this.
“Soft Skill | Навыки” (@iAmbitious), 126,282 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/iAmbitious.
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.