Other / unclassifiable — 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 79% 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.
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 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.
Matching posts — open both and compare (5 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. None of the 3 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 20 comparable posts for this entry, running 7 March 2025 to 16 September 2025. 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 2, the earliest publisher we hold is @wow_startup. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, 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 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.
4 measurements spanning 7 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 1,530–1,539 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 08:17
1,531
-3
11 Aug 2026, 00:06
1,534
-4
7 Aug 2026, 14:22
1,538
no change
7 Aug 2026, 09:17
1,538
first reading
Engagement
20 posts held, back to 7 March 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 2 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 16 September 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 02s
Average length
31s
Measured directly from 2 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.
Advertising
Ad load
5.00%
1 of 20 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,980
over 1 measured post
Median views · rest
5,590
over 19 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjesNjMG
1
1 August 2025
1 August 2025
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 20 most recent posts we hold, published 7 March 2025 to 16 September 2025. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Бизнес-идея: производство и продажа деревянных игрушек ручной работы
Стратовый капитал: от 270 000 рублей
Деревянные игрушки ручной работы пользуются популярностью из-за экологичности, долговечности и функциональности.
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Бразильянка смотрит с мужиками футбол за деньги.
24-летняя Баби Паломас за 30 тысяч долларов встречается с мужчинами в виртуальном пространстве, не у них дома. Вместе они смотрят футбол, фильмы или даже готовят ужин. Баби считает, что её присутствие очень скрашивает одиночество клиентов.
Однажды телка мечтает стать идеальной женой, но пока только тренируется на своих клиентах.
Твой Стартап | Бизнес Идеи
Больше заявок и продаж, а ещё меньше трат на рекламу 😎
А что, так можно было? Да, если заказать бесплатный аудит страницы, на которой вы ведёте бизнес 💜
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Переходите в бота и присылайте ссылку на вашу страницу. А мы вернёмся с …
🚀Как насчет таких инноваций — в РФ создали распределяющую шляпу из «Гарри Поттера». Она реально помогает выбрать ВУЗ.
Шляпа считывает электроэнцефалограмму и фотоплетизмограмму и подключается к ПК, где и выносит вердикт. Устройство анализирует разные параметры: концентрацию, расслабление, усталость, стресс и другие.
Школьник получит подробный отчёт и сможет на его основе подобрать себе профессию. Только не слизерин
Вышел новый ИИ-инструмент для быстрого создания курсов.
Есть какая-то старая запись zoom-созвона, прямого эфира или видео? Можно прямо сейчас всего за несколько минут превратить ее в микрокурс с помощью AI и выложить на платформе AskHow.
👉 Промо-код для бесплатного теста берите здесь.
И не забудьте поддержать ребят - все-таки здорово, когда появляются интересные российские ИИ-проекты.
Присоединяйтесь к форуму «Время цифры», который изменит ваше представление о будущем бизнеса и технологий!
Больше никаких скучных лекций и шаблонных речей — только живые кейсы, практика и инсайты, которых нет в открытом доступе. 300+ digital-лидеров России соберутся на одной площадке, чтобы обменяться опытом и определить тренды завтрашнего дня.
Почему «Время цифры» — must-visit в 2025?
• Только прикладной контент …
Impact Heroes: паблик-ток с бизнесменом Германом Ханом 13 мая в Москве 🔥
Российский еврейский конгресс запускает серию встреч Impact Heroes, посвященных современным лидерам, предпринимателям и меценатам, которые своими делами создают устойчивые общественные изменения.
Героем первой встречи станет Герман Хан — предприниматель, филантроп, член Бюро президиума РЕК. Его собеседником выступит Антон Желнов — журналист, т…
Как экономисты видят историю.
Чаще всего – очень просто, по каким-то важным индикаторам.
Например, историю императорского Рима можно увидеть всего на одном графике – как менялось содержание серебра в монетах. Фактически – это вид монетарной инфляции.
К своему окончанию Римская империя вообще подошла с бартерной экономикой, когда при императоре Диоклетиане начали собирать налоги не в деньгах, а в виде товаров.
🚀 Я иду на апрельский Blockchain Forum, потому что…
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🔹Все ведущие русскоязычные криптоэксперты выступят ЭКСКЛЮЗИВНО весной на Blockchain Forum 2025. В этом сезоне их больше нигде не увидеть.
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Утечка данных есть даже в калькуляторе, инфа из которого вообще идёт на левые сервера. А ещё телефон позволяет компании перехватывать контроль над уст…
Ого, Flowwow сменил имидж: фирменный цветок подрос, стал гибким и сменил огненно-оранжевый на спокойный и уютный коралловый.
Flowwow — это уже не агрегатор цветочных магазинов, а маркетплейс со множеством категорий! Тут можно найти идеальный подарок для коллеги: от десертов и украшений до подарочных сертификатов и авторской керамики. Бренд-команда объясняет:
Новый символ 🌷 подчеркивает искренность и эмоциональную с…
В 2023 году производство мебели в России достигло 66,7 млн единиц товаров (+33% относительно 2022 года), что является рекордной отметкой для отечественной отрасли с 2005 года. В денежном же выражении рост от года к году составил 23% — до 438 млрд руб., по данным Ассоциации предприятий мебельной и деревообрабатывающей промышленности (АМДПР).
Мебельный рынок – это индикатор состояния жилищного рынка, и в целом – благос…
Showing the 12 most recent of 20 posts we hold for @tvoy_startup. 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 — 917,244 of 1,345,403entries 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.
Mentions
Named by 2 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@tvoy_startup 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@mastermisn_moscow named in 1 post, 8 August 2026 – 8 August 2026
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Твой Стартап | Бизнес Идеи” (@tvoy_startup), 1,531 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/tvoy_startup.
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.