Posted without readable text

Channel
Senior Frontend - javascript, html, css
@seniorFront
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
24,225subscribers
-135 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001330416745 |
|---|---|
| Type | Channel |
| Username | @seniorFront |
| Description | Senior Front - канал для frontend программистов, практические задачки, проверки знаний, интересные статьи Админ, сотрудничество, реклама:@seniorFrontPromo, @maria_seniorfront Канал в реестре РКН https://rknn.link/bsU |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 17 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/seniorFront |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 06:14 | 24,225 | -6 |
| 20 Aug 2026, 23:29 | 24,231 | -14 |
| 19 Aug 2026, 22:02 | 24,245 | -24 |
| 18 Aug 2026, 18:52 | 24,269 | -12 |
| 17 Aug 2026, 20:56 | 24,281 | -3 |
| 16 Aug 2026, 21:35 | 24,284 | -6 |
| 15 Aug 2026, 16:49 | 24,290 | -5 |
| 14 Aug 2026, 07:38 | 24,295 | -17 |
| 13 Aug 2026, 02:26 | 24,312 | -3 |
| 12 Aug 2026, 03:12 | 24,315 | -5 |
| 11 Aug 2026, 01:55 | 24,320 | -16 |
| 9 Aug 2026, 22:22 | 24,336 | -10 |
| 8 Aug 2026, 23:02 | 24,346 | -8 |
| 7 Aug 2026, 20:54 | 24,354 | -5 |
| 6 Aug 2026, 19:33 | 24,359 | -1 |
| 6 Aug 2026, 17:15 | 24,360 | no change |
| 6 Aug 2026, 16:49 | 24,360 | first reading |
Engagement
26 posts held, back to 5 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 39 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.14%
- avg views ÷ 24,225 subscribers
- Avg views / post
- 1,730
- 7 posts measured
- Reaction rate
- 0.426%
- reactions ÷ views · ER floor
- Posts in window
- 7
- of 26 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. It is computed over the 4 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 21 August 2026 |
|---|---|
| Posts held | 26 (5 December 2025 – 21 August 2026) |
| Views total | 12,106 |
| Reactions total | 36 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 20:00 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.
What this channel posts
- Photos
- ≈1,280
- Videos
- ≈2,250
- Links
- ≈693
Lifetime counters from Telegram’s own channel header, read 22 August 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.
- Video runtime
- 9m 55s
- Average length
- 2m 29s
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.
Reaction mix
195 reactions across 23 posts, in 5 distinct kinds. The most used accounts for 35.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👎 | 69 | 35.4% | |
| ❤ | 55 | 28.2% | |
| 🔥 | 35 | 17.9% | |
| 👍 | 30 | 15.4% | |
| 🤔 | 6 | 3.08% |
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 23 of the 26 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 195reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 5 December 2025 to 21 August 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.
Recent posts
Posted without readable text
🔴В 2025 году Россияне заработали 5,3 млрд рублей на арбитраже криптовалют По данным Минфин 32% граждан покинули своё место работы, поскольку в среднем уже в первый месяц тут можно зарабатывать от 140 000 рублей, а через 2-3 месяца с легкостью выйти на семизначные числа. Самое смешное, что лишь 8% россиян что-то слышали об этой профессии, хотя все инструкции бесплатно лежат на канале Арбитраж Криптовалют Там объясн…
👎11❤2👍1🔥1
Уже очевидно, что ВАЙБКОДИНГ — главный навык ближайших лет Посмотрите сами. ИИ уже забирает на себя работу целых команд: пишет код, закрывает задачи джунов и позволяет стартапам запускать продукты в 2–3 раза меньшим составом. То, на что раньше нужны были несколько разработчиков, сегодня всё чаще делает один человек с ИИ-агентами. И это только начало. Те, кто освоит вайбкодинг сейчас, смогут быстрее запускать проект…
👎9🤔2❤1
У нас с начала этого года 36 человек перешли на удалёнку Зарабатывают в среднем 1200$ в месяц. Работают по свободному графику. А всё потому, что Роман Чернов более 12 лет зарабатывает на разработке сайтов, как fullstack-разработчик. И может простым языком объяснить, как это работает. Он не учит «жать на кнопки», а показывает, за что реально платят на рынке, и разбирает востребованные инструменты, включая нейросети…
Магистратура для прокачки IT-скиллсета В ИТМО подходит к концу приемная кампания на онлайн-магистратуру в партнерстве с Яндекс Практикумом на программу «Фронтенд-, бэкенд‑разработка и ИИ‑решения». На ней можно выбрать трек в зависимости от своего уровня – как с нуля, так и для продвинутых: от JavaScript, TypeScript и React до Python, Java и C++, а также отдельный трек по ИИ в разработке. Обучение длится два года и …
👍1
АЙТИШНИКИ БЕСПЛАТНОЕ ОБУЧЕНИЕ Проект «TERMINAL» стал крупнейшей библиотекой бесплатного образования. В одном канале собраны курсы, книги, полезные инструменты и практические тренажёры для всех разработчиков: • Практические курсы и задания • Книги и статьи известных авторов • Полезные инструменты и ресурсы • IT-новости и инсайды Обучение по всем направлениям: SQL, Python, ML, Frontend, PHP, C++, Go, Git, Linux, QA,…
❤6👎2
Нативный CSS-скоупинг: как изолировать стили без сборщиков Если вы работали с Vue или Svelte, то наверняка любите их локальные стили (scoping) — это когда код компонента заперт внутри него и не ломает верстку в других частях сайта. Раньше для этого приходилось настраивать CSS Modules или плагины для Webpack/Vite. Теперь браузеры учатся делать это сами. В Safari появилась интересная фича — контейнеры только по имени…
🔥12❤5
Валидация на чистом CSS: считаем поля через :nth-child(n of selector) Раньше для проверки «заполнено ли хотя бы 3 поля» нам обязательно нужен был JavaScript. Теперь с этим справляется нативный CSS. В чем суть? Синтаксис :nth-child(n of .selector) позволяет считать не все элементы подряд, а только те, что соответствуют определенному правилу. Как это работает для валидации: Мы определяем «заполненное» состояние (на…
🔥10❤1
SVG-фильтры: от «магии» к пониманию Если CSS-фильтры - это готовые инста-фильтры, то SVG-фильтры - полноценный Photoshop внутри браузера. Статья Аны Тюдор - Это фундаментальный разбор того, как устроены фильтры «под капотом». Автор не просто дает код, а объясняет механику: от того, где должен лежать тег <filter>, до логики работы с альфа-каналами. 🟢Конвейер данных (in и result): Фильтр - это не одна команда, а цеп…
❤7
📄 Эффект загнутого угла на чистом CSS Интересный разбор от Kitty Giraudel. Традиционно «загнутый уголок» на карточках создавали с помощью картинок или перегруженных псевдоэлементов. Автор статьи предлагает более изящный способ, который полагается исключительно на слоистые градиенты. Как это работает? Весь секрет в комбинировании двух линейных градиентов внутри одного свойства background: Первый слой - это крошечны…
❤5🔥3🤔2👍1
Как работает JPEG: магия, обманывающая ваши глаза Вы когда-нибудь задумывались, почему JPEG при сжатии в 10 раз выглядит почти идеально, а при 100 — рассыпается на «кашу» из квадратов? Вот основные этапы этой инженерной магии: 🌈Цветовой обман (YCbCr): Человеческий глаз лучше видит яркость, чем оттенки. JPEG переводит картинку в формат, где яркость отделена от цвета, и... просто выкидывает половину цветовых данных.…
❤1
Showing the 12 most recent of 26 posts we hold for @seniorFront. 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
Citation-graph rank — 881,660 of 1,584,142entries 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.
Forward network
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.
Mentions
Named by 4 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.
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.
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.
@the_coding_wizard · 181,728
Telegram ranks this channel #80 of 89 here — alongside 88 others — read 12 August 2026
@Codewithrandom · 234,283
Telegram ranks this channel #80 of 83 here — alongside 82 others — read 11 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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 22 August 2026 — this entry's latest reading, not the date you are reading this.
“Senior Frontend - javascript, html, css” (@seniorFront), 24,225 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/seniorFront.
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.