Лариса - Наставник по продажам
ВОЗЬМУ ВАШ КАНАЛ НА ПОЛНОЕ ВЕДЕНИЕ!
✅ В РЕЗУЛЬТАТЕ ВАШ ДОХОД С КАНАЛА УВЕЛИЧИТСЯ В НЕСКОЛЬКО РАЗ! 💸💸💸
Сотрудничество и реклама 👉 @larisa_shirel
🚀Отзывы и кейсы: https://t.me/larisa_otzyvy
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Marketing & affiliate — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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 word for word on 3 other registered channels. 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)
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. 1 of the 7 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 22 comparable posts for this entry, running 29 June 2026 to 7 August 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).
Across the whole group of 4, the earliest publisher we hold is @joker_prodaj. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_mutual · clone_source, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
24 measurements spanning 89 days, net +38. 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 5,977–6,063 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
3 Nov 2026, 10:38
6,038
-12
31 Oct 2026, 15:06
6,050
+16
28 Oct 2026, 21:35
6,034
-19
25 Oct 2026, 09:49
6,053
+23
22 Oct 2026, 04:10
6,030
-14
18 Oct 2026, 23:28
6,044
+26
15 Oct 2026, 21:58
6,018
-8
12 Oct 2026, 12:56
6,026
+14
5 Oct 2026, 23:19
6,012
-29
28 Sept 2026, 10:56
6,041
+2
18 Sept 2026, 20:57
6,039
+15
14 Sept 2026, 08:17
6,024
+30
10 Sept 2026, 14:42
5,994
-12
5 Sept 2026, 08:41
6,006
+12
1 Sept 2026, 03:43
5,994
+7
28 Aug 2026, 20:53
5,987
-7
25 Aug 2026, 13:38
5,994
-14
22 Aug 2026, 21:13
6,008
-1
19 Aug 2026, 01:17
6,009
-7
16 Aug 2026, 07:24
6,016
first reading
Engagement
47 posts held, back to 29 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.14%
avg views ÷ 6,038 subscribers
Avg views / post
492
16 posts measured
Reaction rate
5.86%
reactions ÷ views · ER floor
Posts in window
16
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
47 (29 June 2026 – 5 November 2026)
Views total
7,868
Reactions total
461
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 17:21 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
399
Videos
73
Links
199
Lifetime counters from Telegram’s own channel header, read 5 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
1,306 reactions across 47 posts, in 19 distinct kinds. The most used accounts for 18.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
236
18.1%
💯
208
15.9%
🔥
183
14.0%
🙏
183
14.0%
👍
101
7.73%
👏
72
5.51%
🥰
72
5.51%
🏆
71
5.44%
🤩
48
3.68%
😍
38
2.91%
❤🔥
35
2.68%
⚡
15
1.15%
👌
13
0.995%
✍
11
0.842%
🎉
7
0.536%
💘
7
0.536%
👨💻
4
0.306%
🍾
1
0.077%
🤝
1
0.077%
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 47 of the 47 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 1,306 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 29 June 2026 to 5 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: 4 of 16 posts held from the last 30 days (25.0%) 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).
Напоминаю, что мои ПАПКИ🗂
▪️Бизнес, HR, Маркетинг, ИИ 💼💸
▪️По Маркетплейсам 🔗🛍
▪️Психология, Коучинг 🧠
▪️Ивенты 🪩
выходят уже в эту пятницу 06.11❗️❗️❗️
Если вы хотите получить много живых подписчиков и новых клиентов, то скорее пишите мне в личные сообщения!
Пост выставлять у себя на канале вам не нужно!
Можно участвовать с любым количеством подписчиков!
Возьму ещё 2⃣канала!
Пишите мне в личные сообщения @l…
Открыт набор на РЕКЛАМУ В ПАПКЕ 🗂🗂🗂‼️
6 ноября ТЕМА ПАПКИ: МАРКЕТИНГ, БИЗНЕС, HR, ИИ, IT💼💸
6 ноября ТЕМА ПАПКИ: МАРКЕТПЛЕЙСЫ 🛍🛒🛍
6 ноября ТЕМА ПАПКИ:
ПСИХОЛОГИЯ, КОУЧИНГ🧠
6 ноября ТЕМА ПАПКИ:
ИВЕНТЫ🪩
В чём она заключается:👇
🔹Крупные каналы объединяются в одну папку и выкладывают у себя на каналах ссылку на эту папку
🔹Подписчикам остаётся только нажать на эту ссылку и они автоматически подписываются на всех уча…
ЗАПУСК В ТЕЛЕГРАМ 🚀
Ведёте свой телеграм канал, но клиентов нет или очень мало и продаж соответственно
ПОРА ЭТО ИСПРАВЛЯТЬ
Предлагаю вам 4-ех недельное сопровождение по Телеграм "ЗАПУСК В ТЕЛЕГРАМ" 🚀🚀🚀"
В РЕЗУЛЬТАТЕ КОТОРОГО
✅ У вас будет упакованный телеграм канал, который будет привлекать платежеспособных клиентов.
✅ Выстроите воронку продаж для максимально короткого пути клиента к покупке вашего продукта, ус…
Открыт набор на РЕКЛАМУ В ПАПКЕ 🗂🗂🗂‼️
6 ноября ТЕМА ПАПКИ: МАРКЕТИНГ, БИЗНЕС, HR, ИИ, IT💼💸
6 ноября ТЕМА ПАПКИ: МАРКЕТПЛЕЙСЫ 🛍🛒🛍
6 ноября ТЕМА ПАПКИ:
ПСИХОЛОГИЯ, КОУЧИНГ🧠
6 ноября ТЕМА ПАПКИ:
ИВЕНТЫ🪩
В чём она заключается:👇
🔹Крупные каналы объединяются в одну папку и выкладывают у себя на каналах ссылку на эту папку
🔹Подписчикам остаётся только нажать на эту ссылку и они автоматически подписываются на всех уча…
Открыт набор на РЕКЛАМУ В ПАПКЕ 🗂🗂🗂‼️
6 ноября ТЕМА ПАПКИ: МАРКЕТИНГ, БИЗНЕС, HR, ИИ, IT💼💸
6 ноября ТЕМА ПАПКИ: МАРКЕТПЛЕЙСЫ 🛍🛒🛍
6 ноября ТЕМА ПАПКИ:
ПСИХОЛОГИЯ, КОУЧИНГ🧠
6 ноября ТЕМА ПАПКИ:
ИВЕНТЫ🪩
В чём она заключается:👇
🔹Крупные каналы объединяются в одну папку и выкладывают у себя на каналах ссылку на эту папку
🔹Подписчикам остаётся только нажать на эту ссылку и они автоматически подписываются на всех уча…
УВАЖАЕМЫЕ ПСИХОЛОГИ И КОУЧИ!
Я получила много запросов от вас по поводу участия в моих папках.
Кто хочет участвовать в Папке🗂, получить новых подписчиков, которым интересен род вашей деятельности. И которые могут стать вашими клиентами!
Папка выходит 6 ноября
Не упустите такую возможность! 😘
Чтобы записаться, пишите мне в личные сообщения @larisa_shirel
Если вы:
✨ организатор мероприятий;
✨ ивент-агентство;
✨ ведущий;
✨ декоратор;
✨ фотограф или видеограф;
✨ DJ, артист или музыкант;
✨ специалист по оформлению, кейтерингу или аренде оборудования -
эта папка для вас!
🗂 Папка выходит 6 ноября
Не упустите такую возможность!
Чтобы записаться, пишите мне в личные сообщения @larisa_shirel.
Количество мест ограничено!
▪️Хочешь эффективно продвигать свой телеграм канал? ⁉️
▪️Хочешь получить очередь из клиентов на свои услуги? ⁉️
Предлагаю тебе супер выгодное предложение! Разместить свою рекламу сразу на 6 моих каналах:
🔹https://t.me/larisa_raikhel
🔹https://t.me/lovi_million
🔹https://t.me/joker_prodaj
🔹https://t.me/prodaji_vip
🔹https://t.me/beauty30_style
🔹https://t.me/rulit_ai
Чтобы о тебе узнало более 20000 активной, плате…
Открыт набор на РЕКЛАМУ В ПАПКЕ 🗂🗂🗂‼️
ТЕМА ПАПКИ: МАРКЕТПЛЕЙСЫ 🛍🛒🛍
ТЕМА ПАПКИ: МАРКЕТИНГ, БИЗНЕС, HR, ИИ, IT💼💸
ТЕМА ПАПКИ:
ПСИХОЛОГИЯ, КОУЧИНГ🧠
ТЕМА ПАПКИ:
IT 💻
ТЕМА ПАПКИ:
ИВЕНТЫ🪩
В чём она заключается:👇
🔹Крупные каналы объединяются в одну папку и выкладывают у себя на каналах ссылку на эту папку
🔹Подписчикам остаётся только нажать на эту ссылку и они автоматически подписываются на всех участников, не нужно …
Если вы:
▫️ риелтор;
▫️ брокер по недвижимости;
▫️ агентство недвижимости;
▫️ застройщик;
▫️инвестор;
▫️ ипотечный брокер;
▫️ юрист по недвижимости;
▫️ эксперт по ремонту, дизайну или хоумстейджингу - эта папка для вас!
Не упустите такую возможность!
Чтобы записаться, пишите мне в личные сообщения @larisa_shirel.
Количество мест ограничено!
Если вы:
💻 IT-специалист и разработчик
👨💻 программист
🤖 специалист по ИИ и нейросетям
🎨 UX/UI-дизайнер
📊 аналитик или Data Science специалист
🔐 специалист по кибербезопасности
☁️ DevOps или системный администратор
📱 разработчик мобильных приложений
🧪 QA-инженер или тестировщик
🚀 IT-предприниматель или стартапер
🎓 преподаватель или автор IT-курсов
💡 ведёте канал о технологиях, софте или digital
📚 изучаете IT и хотит…
🚀 Открыта предзапись на моё Наставничество по Telegram! 🚀
Если ты хочешь развить свой канал, привлечь клиентов и использовать Telegram на полную мощность — самое время записаться на моё Наставничество!
📋 Что нужно сделать? Просто заполнить анкету предзаписи, чтобы я могла понять твои задачи и помочь именно тебе!
👥 Для кого моё Наставничество?
🔹Для тех, кто хочет масштабировать бизнес через Telegram. 💰💰💰💰
🔹Для те…
❤16🏆9🔥7👏5🤩2🙏2
Showing the 12 most recent of 47 posts we hold for @larisa_raikhel. 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 edited after publishing
@larisa_raikhel edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
10 August 2026
Most recent edit
10 August 2026
Posts recorded as deleted after publishing
We recorded 1 post on @larisa_raikhel 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
7 August 2026
Most recent seen missing
7 August 2026
Median time before seen missing
33 hours
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 15 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.
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“ПРОДАЖИ НА МИЛЛИОН” (@larisa_raikhel), 6,038 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/larisa_raikhel.
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.