Channel
@Subline_arb
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
87subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003733404136 |
|---|---|
| Type | Channel |
| Username | @Subline_arb |
| Created | 17 March 2026 — measured — dated from the channel’s first post |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/Subline_arb |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 16:01 | 87 | no change |
| 6 Aug 2026, 23:16 | 87 | first reading |
8 posts held, back to 17 March 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 1 pageof 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 8 posts for this entry, the most recent from 23 April 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 9 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.
40 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 95.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 38 | 95.0% | |
| ❤ | 2 | 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 7 of the 8 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 40reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 17 March 2026 to 23 April 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.
Работа Web2 и Web3 рынков + тонкости работы с букмекером Арбитраж между традиционными букмекерскими конторами и децентрализованными рынками предсказаний имеет принципиальные отличия от классических вилок. Это не просто поиск разницы в коэффициентах. Это работа на стыке двух независимых финансовых экосистем. Разберём, почему эта связка даёт преимущество, как минимизировать внимание букмекеров и что делать с капиталом…
🔥5❤2
Как выглядит работа со сканером Настройка фильтров После входа в терминал вы задаёте параметры поиска: минимальный процент доходности (ROI), спортивные дисциплины, лимиты банка и допустимых сумм ставок, тип события. Это отсекает нерентабельные ситуации и оставляет только подходящие под ваш банкролл. Мониторинг ленты Вилки появляются в реальном времени. Каждая карточка показывает: площадки, коэффициенты, расчёт сумм…
🔥4
Разбираем функционал сканера и его работу Терминал работает в режиме реального времени. Он непрерывно забирает котировки с букмекерских линий и рынков предсказаний. Главная техническая задача - сопоставить события, которые на разных площадках форматируются по-разному. Алгоритм сопоставляет противоположные исходы одного и того же события, вычисляя доходность "вилки". Если совокупная оценка коэффициентов позволяет заф…
🔥7
Subline приветствует вас Мы начинаем небольшую серию постов про наш сервис, что вы могли лучше понимать как работает продукт Для начала давайте разберемся с основами Что такое вилки? Вилка — это ситуация, когда коэффициенты на разных площадках позволяют поставить на исходы события так, чтобы прибыль была гарантирована независимо от результата. Пример: на исход А дают 2.15, на исход Б — 2.10. Поставив $100 на кажд…
🔥4
Subline приветствует вас, друзья Мы становимся лучше с каждым днем и хотим рассказать о наших обновлениях! Что изменилось в сервисе: Масштабное расширение маркетов В паре Polymarket <> Dexsport добавлены все доступные виды рынков на 3 категории: баскетбол, теннис и футбол. Теперь покрытие событий в этих дисциплинах стало максимально полным: тоталы, форы, угловые, both to score. Улучшение UX при работе с окнами Из…
🔥6
Всех приветствуем, друзья! С момента нашего релиза мы выкатили ряд больших обновлений. Пробежимся по ним: Dexsport - Добавили полноценную поддержку комбинаций Dexsport <> остальные букмекеры - Устранили задержку при обновлении коэффициентов. Теперь данные отображаются максимально оперативно Новые линии - Для комбинаций Polymarket <> Букмекеры теперь доступны все виды линий. Стало еще больше ликвидности и вилок Pa…
🔥6
Привет, это Subline. Мы запустили сервис для поиска арбитражных возможностей между Prediction Markets и Букмекерскими платформами. Если коротко: на разных площадках одно и то же событие часто оценивается по-разному. Где-то рынок уже сдвинулся, где-то ещё нет. В этот момент появляется спред, а вместе с ним - возможность заработать. Сейчас сервис работает в двух направлениях: PM - PM - арбитраж между Prediction Mar…
🔥6
Channel created
Showing the 8 most recent of 8 posts we hold for @Subline_arb. 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 — 549,620 of 1,189,255entries 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.
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.
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.
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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Subline” (@Subline_arb), 87 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/Subline_arb.
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.