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Channel

Менеджеры и Селлеры — Вакансии и Резюме

@teambust

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

13,641subscribers

+428 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002431205700
TypeChannel
Username@teambust
Description@teambustbot — разместить вакансии и резюме
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/teambust

Topic

Job listings — 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 11 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 forms a group of 2 channels linked by matching posts. 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
@teambust/2448 · this entry3 Aug 2026, 08:31 UTC@sellerman/125775 Aug 2026, 14:32 UTC1.002 days
@sellerman/1328823 Oct 2026, 12:00 UTC@teambust/2716 · this entry30 Oct 2026, 10:05 UTC1.007 days
@sellerman/134146 Nov 2026, 09:00 UTC@teambust/2740 · this entry6 Nov 2026, 09:00 UTC1.00under a minute
@sellerman/134227 Nov 2026, 09:00 UTC@teambust/2743 · this entry7 Nov 2026, 09:00 UTC1.00under a minute
@teambust/2747 · this entry7 Nov 2026, 15:00 UTC@sellerman/134247 Nov 2026, 15:00 UTC1.00under a minute
@teambust/2750 · this entry9 Nov 2026, 09:00 UTC@sellerman/1344810 Nov 2026, 09:00 UTC1.0024 hours
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
@sellerman24 (8/8 hand-verifiable sample passed)1.004.5 hours@sellerman (13–11)

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. 13 of the 13 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 170 comparable posts for this entry, running 2 August 2026 to 14 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 2 channels, the one whose matching posts we hold earliest is @teambust — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 15 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 2 registered channels linked by matching posts. 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

13,17113,64113,4067 August 2026 — 13,213 subscribers8 August 2026 — 13,223 subscribers9 August 2026 — 13,215 subscribers10 August 2026 — 13,214 subscribers11 August 2026 — 13,216 subscribers13 August 2026 — 13,211 subscribers14 August 2026 — 13,207 subscribers17 August 2026 — 13,194 subscribers18 August 2026 — 13,203 subscribers19 August 2026 — 13,205 subscribers20 August 2026 — 13,200 subscribers21 August 2026 — 13,195 subscribers23 August 2026 — 13,204 subscribers25 August 2026 — 13,203 subscribers26 August 2026 — 13,198 subscribers27 August 2026 — 13,180 subscribers27 August 2026 — 13,192 subscribers28 August 2026 — 13,196 subscribers29 August 2026 — 13,185 subscribers30 August 2026 — 13,174 subscribers31 August 2026 — 13,175 subscribers1 September 2026 — 13,171 subscribers2 September 2026 — 13,175 subscribers3 September 2026 — 13,356 subscribers6 September 2026 — 13,470 subscribers9 September 2026 — 13,513 subscribers12 September 2026 — 13,503 subscribers14 September 2026 — 13,496 subscribers15 September 2026 — 13,507 subscribers17 September 2026 — 13,499 subscribers29 September 2026 — 13,548 subscribers9 October 2026 — 13,578 subscribers13 October 2026 — 13,581 subscribers14 October 2026 — 13,576 subscribers16 October 2026 — 13,590 subscribers16 October 2026 — 13,591 subscribers17 October 2026 — 13,597 subscribers19 October 2026 — 13,602 subscribers20 October 2026 — 13,610 subscribers21 October 2026 — 13,617 subscribers22 October 2026 — 13,620 subscribers23 October 2026 — 13,622 subscribers24 October 2026 — 13,623 subscribers25 October 2026 — 13,614 subscribers26 October 2026 — 13,604 subscribers27 October 2026 — 13,612 subscribers28 October 2026 — 13,619 subscribers29 October 2026 — 13,621 subscribers30 October 2026 — 13,622 subscribers31 October 2026 — 13,628 subscribers1 November 2026 — 13,624 subscribers2 November 2026 — 13,620 subscribers3 November 2026 — 13,629 subscribers4 November 2026 — 13,630 subscribers5 November 2026 — 13,614 subscribers6 November 2026 — 13,625 subscribers7 November 2026 — 13,630 subscribers9 November 2026 — 13,634 subscribers10 November 2026 — 13,636 subscribers12 November 2026 — 13,641 subscribers7 August 202612 November 2026
60 measurements spanning 97 days, net +428. 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 13,101–13,712 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
12 Nov 2026, 21:5613,641+5
10 Nov 2026, 14:5013,636+2
9 Nov 2026, 02:3813,634+4
7 Nov 2026, 19:0113,630+5
6 Nov 2026, 16:4513,625+11
5 Nov 2026, 13:5913,614-16
4 Nov 2026, 11:1513,630+1
3 Nov 2026, 13:0013,629+9
2 Nov 2026, 14:5913,620-4
1 Nov 2026, 18:2713,624-4
31 Oct 2026, 14:5513,628+6
30 Oct 2026, 14:4013,622+1
29 Oct 2026, 11:3813,621+2
28 Oct 2026, 12:5713,619+7
27 Oct 2026, 12:1613,612+8
26 Oct 2026, 12:4413,604-10
25 Oct 2026, 16:0713,614-9
24 Oct 2026, 13:0413,623+1
23 Oct 2026, 13:2713,622+2
22 Oct 2026, 12:4613,620first reading

Engagement

171 posts held, back to 2 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.34%
avg views ÷ 13,641 subscribers
Avg views / post
592
73 posts measured
Reaction rate
0.466%
reactions ÷ views · ER floor
Posts in window
73
of 171 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 48 of 73 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 15 November 2026
Posts held171 (2 August 2026 – 15 November 2026)
Views total43,206
Reactions total134
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 08:37 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
524
Links
532

Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

205 reactions across 66 posts, in 3 distinct kinds. The most used accounts for 37.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7637.1%
👍7536.6%
🔥5426.3%

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 80 of the 171 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 205 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 171 most recent posts we hold, published 2 August 2026 to 15 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 73 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).

15 Nov 2026, 07:00 UTC102 views3 reactionsread 15 November 2026

#менеджер Даниил Контактные данные: Телеграм: @motivator_WB 🕹Маркетплейс: WB / Ozon 📎 Категории товаров: Справлюсь с любой категорией БАДы, одежда, обувь, белье, 18+.. 💰Успехи: -опыт 4 года -Более 70 довольных клиентов ✅ -крайняя работа + 1,5 млн в заказа за месяц работы дрр рк 6-9% ( косметика ) -Разберем любую ситуацию и закрою все вопросы ▪️О менеджере СЕО Мониторинг позиций Реклама Воронка Рекомендации по …

❤1👍1🔥1

14 Nov 2026, 08:00 UTC386 views4 reactionsread 15 November 2026

#селлер Кирилл 🕹Маркетплейс: WILDBERRIES 📎 Категории товаров: Бытовая химия, Парфюмерия 💰Выручка магазина в месяц: Коммерческая тайна ▪️Какого менеджера ищу - Опыт работы от 3 лет; - Самостоятельность и проактивность; - Умение работать с рекламой, знание алгоритмов. ▪️О селлере - Полностью удаленный формат работы, график 5/2. - Прозрачную систему дохода: стабильный оклад + KPI за выполнение показателей и рост…

👍4

13 Nov 2026, 12:00 UTC451 views1 reactionsread 15 November 2026

#менеджер Юлия Контактные данные: Телеграм: @ozonOz22 🕹Маркетплейс: Ozon, WB 📎 Категории товаров: Одежда, мебель, косметика, средства гигиены, товары для дома 💰Успехи: - развила магазин косметика с 100 000 р до 19 млн за 2 месяца с 1 sku; - вывела магазин мебели в топ 5 за 2 недели с 5 sku; - развила магазин с 300 000 р до 2,5 млн за 3 недели с 2 sku ▪️О менеджере Опыт с 2021 г. в Oz/WB Работала с оборотами о…

❤1

13 Nov 2026, 10:00 UTC436 views6 reactionsread 15 November 2026

#менеджер Владислав 🕹Маркетплейс: WB и Озон 📎 Категории товаров: Женская и мужская одежда, товарка 💰Успехи: — Развил магазин до оборота 100 млн руб/мес — Оптимизировал конверсии, занял 30% выдачи товарами бренда — Сократил ДРР с 10% до 1,5% ▪️О менеджере 📍Стаж работы 4 года 📍Был аналитиком в компании MPSTATS 📍Богатый опыт с выкупом от 20% ▪️Какого селлера ищу — готового делиться процентом с чистой прибыли за …

🔥3👍2❤1

13 Nov 2026, 09:50 UTC410 views2 reactionsread 15 November 2026

✅ Найти блогера, рилсмейкера или креатора теперь еще проще 👉 Тиндер для поиска блогеров и рилсмейкеров Размещай заказы, бери заказы.

❤2

13 Nov 2026, 08:00 UTC425 views3 reactionsread 15 November 2026

#менеджер Артём 🕹Маркетплейс: WILDBERRIES 📎 Категории товаров: Одежда, товары для дома, электроника, мебель, женское/мужское бельё, аксессуары. 💰Успехи: 13 — 47 млн ₽ за 2 месяца через детальную оптимизацию рекламных кампаний. Снизил ДРР 13% - 7% за счёт анализа каждого запроса в РК, корректировки ставок. ▪️О менеджере Мой подход — реклама через цифры: ДРР, запросы, ставки, маржинальность и прибыльность. Анализ…

🔥2👍1

13 Nov 2026, 07:00 UTC430 views2 reactionsread 15 November 2026
Photo

#менеджер Александр 🕹Маркетплейс: Ozon 📎 Категории товаров: Авто товары Текстиль для дома Женская одежда Косметика для мужчин Японская косметика 💰Успехи: 5 ниш: авто 14 млн (ДРР18%), текстиль 26 (8-10%), жен.одежда 18 (5-6%), муж.косметика 5 (12-18%), япон.косметика 3 (5-7%). Рост за счет рекламы. ▪️О менеджере Настройка и ведение внутренней рекламы на Ozon ▪️Какого селлера ищу Готов взять любую нишу с любым …

🔥2

12 Nov 2026, 17:00 UTC510 views0 reactionsread 15 November 2026

#менеджер Елена 🕹Маркетплейс: WILDBERRIES 📎 Категории товаров: Одежда женская/детская/мужская 💰Успехи: 500+ SKU с 0 и оптимизация. Собств. пр-во ЧП +27%, ДРР 13%→3% Выкуп: 56%→62% Новинка: конв. 9%→12% (при ↑ цены). Проект: 24 арт., 8 млн за 3 мес., из минуса в +500тыс. ▪️О менеджере 👩‍💻2 года в e-commerce 🫰 SEO, визуал, a/б тесты, отзывы, реклама, поставки 📈 Аналитика mpstats, отчетность Excel, Google, 1С, нас…

12 Nov 2026, 10:00 UTC531 views4 reactionsread 15 November 2026

#менеджер Владислав Контактные данные: Телеграм: @vvondervv 🕹Маркетплейс: Wildberries и Ozon 📎 Категории товаров: Одежда для мужчин и женщин, сезонные товары 💰Успехи: ✨ Реализовал 100 тыс пар сапог за один сезон ✨ 1,5 млрд рублей заказов по пуховикам в высоком чеке ✨ Рассматриваю сезонную подработку или постоянное место 🤗 ▪️О менеджере 🔹Формат работы — удалённый 🔹Вёл продажи в MPSTATS Consulting 🔹Занимаюсь ней…

🔥2❤1👍1

12 Nov 2026, 09:00 UTC516 views6 reactionsread 15 November 2026

#менеджер Валерия 🧡 Контактные данные: Телеграм: @Valerivalerivaleri07 🕹Маркетплейс: WB/Ozon 📎 Категории товаров: Работаю практически с любыми категориями. Для меня главное — потенциал роста. 💰Успехи: 🔥Магаз. с 0 до 15🍋 за 4 месяца в одежде (ДРР 7%) 🔥Магаз. товарки с 500тыс до 9🍋 за мес. (ДРР до 10%) 🔥Вывела магазин из минуса за 2 мес. до 6🍋. оптимизировав РК ▪️О менеджере 🔺Опыт 4 года 🔺ИИ контент 🔺Я/директ 🔺Б…

❤5🔥1

12 Nov 2026, 08:00 UTC465 viewsread 15 November 2026
Photo

#менеджер Дарья Контактные данные: Телеграм: @Dashakolomiets94 🕹Маркетплейс: WILDBERRIES 📎 Категории товаров: Одежда мужская/женская Обувь женская/ детская Электроникика Товары для дома 💰Успехи: - запуск с нуля до 500 тыс. руб. за месяц -выводила из кризиса и минусового баланса, -выстроила комфортную работу по FBS с сохранением оборотов FBO. ▪️О менеджере ✅опыт 5 лет ✅работаю удалённо ✅веду магазин под ключ: р…

12 Nov 2026, 07:00 UTC462 viewsread 15 November 2026

#менеджер Лилия Контактные данные: Телеграм: @Ilyasova_Liliya 🕹Маркетплейс: WILDBERRIES 📎 Категории товаров: Одежда, обувь, химия, сумки, рюкзаки, перчатки и многое другое 💰Успехи: Вывела категорию Обувь с 75К на 1,3 мл р за 6 мес Снизила ДРР с 12 до 7% Вывела магазин на первое место в бренде ▪️О менеджере 8 лет опыта работы в найме (ВБ и Озон) 1,5 г в должности РОП с оборотом более 60 мл р в мес Опыт внедрени…

Showing the 12 most recent of 171 posts we hold for @teambust. 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 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.

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.

“Менеджеры и Селлеры — Вакансии и Резюме” (@teambust), 13,641 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/teambust.

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.