Channel
@sale100
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
664subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001066643954 |
|---|---|
| Type | Channel |
| Username | @sale100 |
| Description | Покупка/продажа активов(все, что приносит деньги). Привлечение/размещение инвестиций. Вип нетворкинг. Публикация через админа: @BiznesV @bvrussia Россия, крупные сделки @bvmoskva Москва @sale100 Иркутск @barter_capital Капитализация через бартер |
| Created | Between 1 May 2016 and 31 January 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/sale100 |
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 61% 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.
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.
Posts published here appear word for word on 1 other registered channel. 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @bvrussia/4704 Jan 2025, 08:15 UTC | @sale100/1497 · this entry4 Jan 2025, 08:16 UTC | 1.00 | under a minute |
| @sale100/1498 · this entry9 Jan 2025, 10:44 UTC | @bvrussia/4719 Jan 2025, 10:44 UTC | 1.00 | under a minute |
| @sale100/1499 · this entry17 Jan 2025, 13:16 UTC | @bvrussia/47217 Jan 2025, 13:17 UTC | 1.00 | under a minute |
| @sale100/1501 · this entry21 Mar 2025, 14:31 UTC | @bvrussia/47721 Mar 2025, 14:31 UTC | 1.00 | under a minute |
| @sale100/1515 · this entry2 Aug 2026, 09:29 UTC | @bvrussia/4972 Aug 2026, 10:08 UTC | 1.00 | 38 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @bvrussia | 6 (6/6 hand-verifiable sample passed) | 1.00 | under a minute | this entry (4–2) |
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. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 1 December 2024 to 2 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.
Across the whole group of 2, the earliest publisher we hold is @bvrussia. That is a statement about our reading window, not a claim of authorship.
Recorded under the key 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.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 16:40 | 664 | no change |
| 6 Aug 2026, 09:03 | 664 | first reading |
20 posts held, back to 1 December 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
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 2 August 2026 |
|---|---|
| Posts held | 20 (1 December 2024 – 2 August 2026) |
| Views total | 95 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 16:40 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.
Lifetime counters from Telegram’s own channel header, read 6 August 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.
20 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 8 | 40.0% | |
| 🔥 | 7 | 35.0% | |
| 👎 | 2 | 10.0% | |
| 😢 | 2 | 10.0% | |
| ❤ | 1 | 5.00% |
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 11 of the 20 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 20reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 1 December 2024 to 2 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sale100. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 1 December 2024 to 2 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Я делегировал больше 10 задач в день. Не человеку. ИИ Агенту. Контент. Маркетинг. Анализ клиентов и рынка. Персональные офферы. CRM. Техподдержка. Новые продукты. Транскрибация переговоров. IT-инфраструктура. Бизнес-гипотезы. Коммуникации. Даже мой собственный фокус — агент следит, куда уходит время и внимание, и возвращает меня к главному. Это не бот. Это цифровой сотрудник. Операционная система бизнеса. Недавно …
👍2
❌ Доход не растет? Узнайте ЧТО тормозит За 20 минут. Бесплатно. Без шаманства, но с глубоким ИИ анализом. Пришлите одно голосовое Получите персональные инсайты: ✅ Главное противоречие (корень проблемы) ✅ Слепые зоны (что упускаете) ✅ 3 точки роста с конкретикой ✅ Первое действие на неделю Часто проблема НЕ там, где кажется Для получения инструкции напишите "диагностика" → @vagaev
❤1
Твоя сеть контактов стоит больше, чем ты зарабатываешь за год. Но 90% этого капитала "спит". Хочешь новых клиентов, слетать на Мальдивы, запустить проект — не начинай с вопроса “как заработать”, начни с вопроса “кто может помочь”. Моя система ИИ анализа по твоим контактам подскажет: – кто из друзей уже проходил подобный путь, – у кого есть нужные ресурсы(деньги/связи/экспертиза), – кто может стать твоим наставником…
Мы все ставим цели и... забываем про них. Тонем в делах. Теряем себя. 💬 Представь, если бы кто-то каждый день задавал тебе один сильный, личный вопрос. Такой, который не даст свернуть. Такой, который направляет взгляд внутрь — и внимание на главное. Я создал спец. инструмент — Telegram-бота с функцией авто-коучинга. Он работает просто, но мощно: ✅ Каждый день — один коучинговый вопрос, персональный, на основе твоих…
🔥5
Ищем проекты куда можно и деньгами и компетенциями/контактами зайти. Суммы от 500 000 до 10 000 000. Рассматриваем что-то действующее, с подтвержденным спросом. Кого резко можно усилить. @BiznesV (Р-489)
👍2
Снизить расход топлива на 20-40%. Для любого авто/грузовика/автобуса/катера/спецтехники на бензине, дизеле, газе. Бонусом прибавка мощности, снижение расхода масла, износа двигателя, вредных выхлопов в разы. Кому интересно пришлю отзывы клиентов и подробности. @vagaev
👎2😢2
Возьмём в аренду земельный участок от 8 до 12 гегтар. Иркутск или на удаленности до 30км от города. Закрытая территория, твердая поверхность. Использоваться будет для региональной стоянки спецтехники. @BiznesV (И-1149)
👍3
Ищем партнёра для комплексного развития территории Иркутск в районе Карлука,Столбова @BiznesV (И-1148)
Предлагаем обьем эл.энергии к размещению обарудования для майнинга, серверный или ЦОД, в Республике Беларусь 🇧🇾 Через программу Парк Высоких Технологий. Соглашение на 5лет, освобождение от налогов, и камерального контроля. Энергетическая инфраструктура реализована. Площадки подготовлены. На данный момент свободный обьем энергии от 200-300мгвт. Стоимость кВт/ч так же льготное по соглашению, обсуждается индивидуально. …
Продаем действующий бизнес: г. Иркутск Магазин одежды Tommy Hilfiger в ТРЦ СильверМолл. Передадим рабочую модель, экспертизу, товар, команду и эксклюзивные контракты по поставкам от производителя, позволяющие окупить вложения в срок до 30 месяцев, поддержим на первых этапах. Стоимость: 30 млн. руб. Причина продажи: переезд в другую страну. Подробности: @egorgyske
Возможность заработать: 5000 рублей просто за факт знакомства! Друзья! У меня есть предложение, которое может принести вам дополнительный доход — без финансовых вложений с вашей стороны. Как заработать 5000 рублей за 5 минут разговора! Очень просто: познакомьте с человеком, который принимает решения в компании по вопросам IT-инфраструктуры. Фирма моих друзей специализируется на настройке надежных технических систе…
Только что завершил необычную практику - сделал подробный разбор своей сети контактов, надиктовав голосом описание каждого значимого человека, его ресурсы и потребности. Это дало потрясающее понимание скрытых возможностей в моем окружении! Предлагаю вам присоединиться. Это даст сразу несколько важных результатов: 1. Для вашего развития: - Увидите неочевидные возможности внутри своей сети контактов - Лучше поймете с…
Showing the 12 most recent of 20 posts we hold for @sale100. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 419,982 of 1,481,243entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
@sale100 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“Иркутск Бизнес возможности” (@sale100), 664 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/sale100.
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.