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Channel

Julls_t.e.a.m

@julls_team

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

7,275subscribers

-7 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001394182334
TypeChannel
Username@julls_team
DescriptionМама Юлия Сергеевна | Cambridge certified | TKT 1,2,3 Авторские разработки и методические курсы для учителей и репетиторов 🔥 По поводу сотрудничества обращаться лично @julls_musienko С отзывами можно ознакомиться здесь: https://t.me/otzivu_julls_team
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/julls_team

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@julls_team/4551 · this entry6 Aug 2026, 08:52 UTC@Sudden_me/95416 Aug 2026, 10:35 UTC1.001.7 hours
@julls_team/4583 · this entry10 Aug 2026, 15:01 UTC@Sudden_me/956910 Aug 2026, 15:03 UTC1.002 minutes
@julls_team/4596 · this entry13 Aug 2026, 14:07 UTC@Sudden_me/959913 Aug 2026, 14:14 UTC1.007 minutes
@Sudden_me/963117 Aug 2026, 10:15 UTC@julls_team/4615 · this entry17 Aug 2026, 15:49 UTC1.005.6 hours
@Sudden_me/101826 Nov 2026, 13:47 UTC@julls_team/4860 · this entry6 Nov 2026, 14:57 UTC1.0070 minutes
@Sudden_me/101917 Nov 2026, 09:35 UTC@julls_team/4879 · this entry10 Nov 2026, 17:00 UTC1.003 days
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@Sudden_me10 (8/8 hand-verifiable sample passed)1.002.6 hourseven

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 5 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 39 comparable posts for this entry, running 1 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 3 channels, the one whose matching posts we hold earliest is @Sudden_me. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

7,1777,3077,2426 August 2026 — 7,282 subscribers7 August 2026 — 7,282 subscribers10 August 2026 — 7,271 subscribers13 August 2026 — 7,257 subscribers16 August 2026 — 7,252 subscribers19 August 2026 — 7,249 subscribers22 August 2026 — 7,231 subscribers25 August 2026 — 7,223 subscribers28 August 2026 — 7,216 subscribers31 August 2026 — 7,208 subscribers4 September 2026 — 7,188 subscribers9 September 2026 — 7,183 subscribers13 September 2026 — 7,177 subscribers18 September 2026 — 7,274 subscribers27 September 2026 — 7,307 subscribers5 October 2026 — 7,301 subscribers11 October 2026 — 7,292 subscribers15 October 2026 — 7,289 subscribers18 October 2026 — 7,290 subscribers20 October 2026 — 7,283 subscribers23 October 2026 — 7,279 subscribers27 October 2026 — 7,275 subscribers29 October 2026 — 7,267 subscribers2 November 2026 — 7,263 subscribers4 November 2026 — 7,257 subscribers8 November 2026 — 7,253 subscribers12 November 2026 — 7,275 subscribers7,2756 August 202612 November 2026
27 measurements spanning 97 days, net -7. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 7,158–7,327 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
12 Nov 2026, 00:507,275+22
8 Nov 2026, 03:067,253-4
4 Nov 2026, 15:067,257-6
2 Nov 2026, 00:407,263-4
29 Oct 2026, 23:167,267-8
27 Oct 2026, 04:407,275-4
23 Oct 2026, 21:187,279-4
20 Oct 2026, 23:387,283-7
18 Oct 2026, 00:357,290+1
15 Oct 2026, 04:457,289-3
11 Oct 2026, 22:577,292-9
5 Oct 2026, 11:387,301-6
27 Sept 2026, 04:207,307+33
18 Sept 2026, 03:367,274+97
13 Sept 2026, 19:367,177-6
9 Sept 2026, 23:417,183-5
4 Sept 2026, 18:007,188-20
31 Aug 2026, 23:267,208-8
28 Aug 2026, 12:187,216-7
25 Aug 2026, 21:437,223first reading

Engagement

43 posts held, back to 1 August 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 34 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.34%
avg views ÷ 7,275 subscribers
Avg views / post
170
22 posts measured
Reaction rate
3.40%
reactions ÷ views · ER floor
Posts in window
22
of 43 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 20 of 22 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 13 November 2026
Posts held43 (1 August 2026 – 13 November 2026)
Views total3,742
Reactions total118
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 22:48 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
≈1,600
Videos
≈1,300
Links
≈843

Lifetime counters from Telegram’s own channel header, read 13 November 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
22m 17s
Average length
51s

Measured directly from 26 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

286 reactions across 35 posts, in 13 distinct kinds. The most used accounts for 24.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6924.1%
😍4816.8%
👏4415.4%
🔥4315.0%
👍3813.3%
🎃113.85%
😢103.50%
💯82.80%
💔62.10%
⚡31.05%
🤩31.05%
🥰20.699%
😁10.35%

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 36 of the 43 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 286 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 1 August 2026 to 13 November 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

Telegram’s own ‘edited’ marker: 0 of 22 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 15:23 UTC51 views1 reactionsread 13 November 2026
Photo

АНГЛИЙСКИЙ ДЛЯ ПУТЕШЕСТВИЙ (программа для школьников) ➡️➡️ 🎀🎀🎀🎀🎀🎀🎀 🤩🤩 это настоящий 🤩🤩 путеводитель для юных путешественников, где в каждом юните мы разберём все важные моменты связанные с путешествиями: сборы, 🤩бронь билетов и номера в отеле, передвижение на транспорте, походы по музеям, общение с местными жителями… Ребят ждут множество приключений, а также 🤩трудностей, с которыми каждый турист в своей жизни ста…

🔥1

13 Nov 2026, 07:12 UTC94 views4 reactionsread 13 November 2026
Photo

Эти сборники станут твоими настольными книгами для обучения чтению 💯 Хочешь убедиться⁉️ Загляни в демо-версии⬇️ 📒 Read me book 1 (первое изучение звуков, чтение всех звуков через гласные a, i, o, e, u) в н у т р и: ➖видео, объяснения, памятки для учителей ➖изучение звуков K, S, U, L. ➖задание на listening & reading ➖игры, интерактивные задания, тренажеры и истории на чтение в genially 📗 Read me book 2 (открытый…

😍2👍1👏1

12 Nov 2026, 07:02 UTC129 views4 reactionsread 13 November 2026
Photo

Бывало такое: досмотрели сериал, а вам СРОЧНО нужно с кем-нибудь его обсудить 😄? Потому что финал просто невероятный! Или любимого героя совершенно незаслуженно убрали из сюжета. Или новый сезон оказался настолько хуже предыдущего, что хочется возмущаться вслух! А обсудить не с кем – не все же друзья разделяют нашу любовь к сериалам! Поэтому я так обрадовалась, когда узнала, что Ксения Холиди-Степаненко будет прово…

❤1👍1👏1🔥1

12 Nov 2026, 04:15 UTC131 views5 reactionsread 13 November 2026
Photo

⏰Доброе утро, коллеги!! В ноябре нас ждет еще один праздник — потрясающий THANKSGIVING DAY! 🐤 Как вы знаете я мастер-фломастер всех тематических уроков, поэтому в обязательном порядке провожу: 🕙со школьниками воспитательные беседы о ценности семьи, важности быть вместе и поддерживать друг друга! План урока для школьников 📼 Доп урок про семейные ценности и семью по мультфильму «Энканто» 🔘с дошкольниками у нас как…

😍3👍1🔥1

11 Nov 2026, 11:21 UTC143 viewsread 13 November 2026

‼️‼️‼️‼️Скидочные цены действуют 2 дня ‼️

11 Nov 2026, 06:19 UTC156 views3 reactionsread 13 November 2026
Photo

1️⃣1️⃣.1️⃣1️⃣ SALE Традиционные скидки в блоге @julls_t.e.a.m Если Вы ждали снижения цен на best-sellers, то тот самый момент настал. Как всегда мелочиться я не люблю и поэтому дарю реальную скидку на все продукты: ➖1️⃣0️⃣0️⃣0️⃣₽ на СБОРНИКИ: 📒Read me Book (1 часть) - 2000₽ вместо 3000₽ 📗Read me Book (2 часть) - 2000₽ вместо 3000₽ ➖1️⃣0️⃣0️⃣0️⃣₽ на СБОРНИКИ по подготовке к ЕГЭ: 📕Устная ЧАСТЬ 2000₽ вместо 3000…

❤1👏1😍1

10 Nov 2026, 22:52 UTC135 views7 reactionsread 13 November 2026
Photo

Раздаточный материал для игр #смалышариками 🙋‍♀️ В этом году у меня много 4-х леток, поэтому я с начала года в поисках крутых развивающих идей для творчества на уроки. Занятия длятся 30 мин (онлайн и оффлайн), поэтому нужно успеть и тему дать, и поговорить, и поиграть, и подвигаться, и конечно же, что-то интересное соорудить и обсудить!! Сейчас мы в процессе изучения животных, и такие задания я подготовила для свои…

❤3👏2👍1😍1

10 Nov 2026, 17:00 UTC125 viewsread 13 November 2026
Photo

🔥ДАРИМ УНИКАЛЬНУЮ КОЛЛЕКЦИЮ УРОКОВ в нашей рассылке MAIN VALUES IN LIFE 💟Understanding Burnout B2 adults pdf 💟The Buy Button B1+ teens pdf 💟Thanks for the Small Things A2+ teens pdf 💟Mitten Mood A1 kids pdf 💟Chinese or European (Find Your Perfect Car) B1+ adults pdf 💟Case Check A2 teens pdf 💟Black Friday Speaking Cards A1-B1 pdf 💟Black Friday A1+ teens pdf ‼️ЧТОБЫ НАЧАТЬ ОБЩАТЬСЯ С БОТОМ, НАПИШИ /start [через слэш…

10 Nov 2026, 12:03 UTC128 views0 reactionsread 11 November 2026
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Привет, коллеги! Меня зовут 🤍 ЮЛИЯ!! Я веду блоги телеграм, ВКонтакте, МАХ! ☺️😌: репетиторы и школьные учителя 🇬🇧, англомамы. 🖇️ ЗАКРЫВАЮ ☺️😌☺️☺️☺️ #нарассылку ВКонтакте: 1⃣6⃣👍🅾️🤗😍❤️🤗 ⤵️ (Осталось 1️⃣ МЕСТо)!! ‼️‼️‼️‼️ОТДАЮ ПОСЛЕДНЕЕ МЕСТО СО СКИДКОЙ!! 🖇️ ЗАКРЫВАЮ ☺️😌☺️☺️☺️ #нарассылку: 1⃣6⃣👍🅾️🤗😍❤️🤗в МАХ ⤵️ Осталось 2️⃣ МЕСТа)!! 🖇️ веду набор #нарекламу : ТЕЛЕГРАМ: 1⃣6⃣,2⃣3⃣👍🅾️🤗😍❤️🤗 🖇️ веду набор на ☺️☺️🤲☺️☺️☺…

9 Nov 2026, 12:10 UTC144 views3 reactionsread 11 November 2026
Video

ВОРКБУКИ ДЛЯ ДОШКОЛЬНИКОВ И МЛАДШИХ ШКОЛЬНИКОВ 🧸 Тема: “ANIMALS” Для учеников 6/7-8 и 8-11 лет у меня прирасены готовые уроки: 🐶 Workbook PETS 🐋 Workbook ARCTIC Animals 🐣 Workbook FARM animals 🐝 Workbook INSECTS 🦁 Workbook JUNGLE Animals ВНУТРИ каждого воркбука: 1️⃣Quiz & Flashcards & Speaking games 2️⃣Игры на WORDWALL 3️⃣Listening tasks 4️⃣Matching and Filling gaps’ tasks 5️⃣Texts + упражнения на понимание тек…

❤1👏1🔥1

9 Nov 2026, 06:20 UTC136 views8 reactionsread 11 November 2026
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#находка для игр с малышариками 🧸 Продолжаю делиться идеями для уроков с 4-х летками!! Сейчас мы проходим с учениками животных, детенышей, места обитания и вот приступили к еде. На просторах Pinterest нашла такое видео и план игры со стаканчиками сразу же сформировался в голове. 🤍Листы с животными распечатываем, ламинируем и вырезаем фигурки. ⏺️Покупаем стаканчики в ближайшем магазине и начинаем формировать зада…

🔥4👍2⚡1❤1

8 Nov 2026, 14:10 UTC140 views4 reactionsread 10 November 2026
Video

#забирай в копилку ВОРКБУКИ ДЛЯ УРОВНЕЙ А2-С1 📚 1️⃣Hobbies and Leisure for A2-B1 2️⃣Music mood for kids 3️⃣Music everytime for B1 4️⃣Best Friends foe B2 5️⃣Classic Journeys C1-C2 6️⃣Drama and Comedy: cinema and theatre for A2-B1 7️⃣Earth day for B2 8️⃣Healthy Lifestyle for B2 9️⃣Relationship for B1-B2 Забрать бесплатно подборку здесь: https://t.me/Julls_team_bot (Чтобы начать общаться с ботом пиши /start )

👏2🔥1😍1

Showing the 12 most recent of 43 posts we hold for @julls_team. 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.

Posts recorded as deleted after publishing

We recorded 2 posts on @julls_team as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
12 August 2026
Most recent seen missing
12 August 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
0

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 5 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.

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.

Анти-учительская
@ok_moneymaking · 27,146
Telegram ranks this channel #4 of 92 here — alongside 91 others — read 14 September 2026
Английские полезности
@miss_polly_eng · 21,915
Telegram ranks this channel #12 of 97 here — alongside 96 others — read 23 September 2026
BOOKSHELF for TEACHERS 📚
@englishteacherbookshelf · 37,064
Telegram ranks this channel #21 of 97 here — alongside 96 others — read 3 September 2026
English Grammar Daily
@englishgrammartesting · 31,523
Telegram ranks this channel #22 of 74 here — alongside 73 others — read 6 September 2026
От репетитора к онлайн-школе | Илья Методайзер
@methodyzer · 22,977
Telegram ranks this channel #30 of 92 here — alongside 91 others — read 21 September 2026
eng books • collection
@englishbooks_collection · 72,737
Telegram ranks this channel #31 of 95 here — alongside 94 others — read 21 August 2026
Открытый Английский
@open_eng · 23,637
Telegram ranks this channel #43 of 97 here — alongside 96 others — read 23 September 2026
Прорыв в репетиторстве | Елизавета
@esvasilevaru · 24,230
Telegram ranks this channel #64 of 92 here — alongside 91 others — read 21 September 2026
English_Unlock 🔓 | Английский Сленг
@English_Unlock_Slang · 27,969
Telegram ranks this channel #65 of 83 here — alongside 82 others — read 9 September 2026

This channel appears in 9 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Julls_t.e.a.m” (@julls_team), 7,275 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/julls_team.

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.