Posted without readable text

Channel
PIRATE CPA // Channel
@piratecpa
On this record: Topic · Growth · Engagement · What this channel posts · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
28,911subscribers
+370 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001672980976 |
|---|---|
| Type | Channel |
| Usernames | @arbitrazh_traffika @piratecpa |
| Description | Источник знаний в сфере трaфика и партнёрского маркетинга. Связь: @jack_cpa Сайт: https://piratecpa.net YouTube: youtube.com/@piratecpa Чат для общения: @pirate_cpa Чат для рекламы: @pirate_ads Поиск вакансий: @pirate_hr |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 46 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/piratecpa |
Topic
Marketing & affiliate — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 13:59 | 28,911 | -4 |
| 17 Sept 2026, 18:01 | 28,915 | +12 |
| 16 Sept 2026, 07:55 | 28,903 | -3 |
| 15 Sept 2026, 13:02 | 28,906 | +27 |
| 14 Sept 2026, 12:57 | 28,879 | +3 |
| 13 Sept 2026, 21:20 | 28,876 | +4 |
| 13 Sept 2026, 02:01 | 28,872 | no change |
| 12 Sept 2026, 00:35 | 28,872 | +3 |
| 10 Sept 2026, 23:40 | 28,869 | +3 |
| 9 Sept 2026, 18:37 | 28,866 | +9 |
| 7 Sept 2026, 21:21 | 28,857 | +8 |
| 6 Sept 2026, 12:00 | 28,849 | -1 |
| 4 Sept 2026, 23:40 | 28,850 | +12 |
| 4 Sept 2026, 05:19 | 28,838 | +10 |
| 3 Sept 2026, 06:07 | 28,828 | -1 |
| 2 Sept 2026, 21:45 | 28,829 | +5 |
| 2 Sept 2026, 00:15 | 28,824 | -2 |
| 1 Sept 2026, 19:04 | 28,826 | +12 |
| 1 Sept 2026, 00:59 | 28,814 | -8 |
| 31 Aug 2026, 17:39 | 28,822 | first reading |
Engagement
67 posts held, back to 20 July 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 76 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 55.6%
- avg views ÷ 28,911 subscribers
- Avg views / post
- 16,100
- 31 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 31
- of 67 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 30 of 31 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 67 (20 July 2026 – 22 September 2026) |
| Views total | 498,300 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 22:17 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
- ≈1,490
- Videos
- ≈15
- Links
- ≈1,580
Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Telegram Stars
- Stars received
- 151
- across the posts below
- Posts paid on
- 64
- of 67 we hold a reading for · 96%
- Most on one post
- 15
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @piratecpa. 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 67 most recent posts we hold for this entry, published 20 July 2026 to 22 September 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.
Recent posts
ИИ-креативам пришел конец? Как площадки определяют сгенерированный контент и что с этим делать Изучили, по каким факторам Google, Meta, YouTube и другие площадки определяют ИИ креативы. Рассказали, можно ли избавиться от маркировки и куда движутся технологии распознавания. 📑 Читать: https://prtl.ink/detect
Мануал «Создание AI агента под арбитражные задачи, мультитул для трафика» (2026) Объясняется весь процесс установки на сервер Claude Code, создание из него трафик помощника, управление через TG. Подойдет для: верстки лендов, создания контент завода, SEO задач, запуска ТГ ботов для обработки лидов, дизайна крео, работы с другими сервисами и многое другое. Напомним, что ранее мы также выкладывали подборку Клод скилло…
Гайд «Автоматизированный набор низкочастотной SEO органики» (2026) Пособие по AI SEO и масштабированию сайтов на сотнях низкочастотных запросов. Разбирается автоматизация генерации страниц через Codex и Claude, построение контентного конвейера, адаптация под апдейты поисковиков, ускорение индексации и масштабирование сайтов. Напомним, что ранее мы также разбирали, как работают ИИ агенты для SEO и из каких ролей сос…
LLMpulse — спай сервис для отслеживания рекламы из ChatGPT Ads с сортировкой и фильтрами по ГЕО / датам. Имеется возможность посмотреть куда ведет объявление, дается триал версия. #service #creo
Превращаем в трафик новые фичи Instagram, Threads, TikTok и Telegram Разобрали, какие новые функции популярных соцсетей можно использовать как дополнительный источник УБТ и какие подходы уже используют в разных вертикалях. Рассказали, как самостоятельно отслеживать новые фичи и быстро тестировать их в работе. 📑 Читать: https://prtl.ink/fiches
СОЗДАНИЕ PWA КРЕАТИВОВ ДЛЯ АРБИТРАЖА: ВСЕ ЭТАПЫ ДИЗАЙНА 🔥 Разбираем все шаги создания изображений для PWA прил. Показываем подбор образов, цветов и раскладки экранов. Учим делать оформление, которое повышает конверт при заливе. 🎬 Смотреть: youtu.be/XsgmGyPIY3o
ReelSkills — бесплатный набор скилов Claude и Codex для покадрового разбора залетевших роликов и их пересборки в новые Reels, Shorts и тд. Анализирует тайминги, планы, движение камеры, сцены и монтаж. #utility #ubt
Не кредиткой единой: какие еще белые офферы можно лить в 2026 году Изучили, какие интересные офферы сегодня можно найти в белом арбитраже. Разобрали, где искать под них трафик, на какие условия смотреть перед запуском и как подобрать предложение под свою аудиторию. 📑 Читать: https://prtl.ink/whtaff
IsitBan — бесплатный сервис проверки доменов на бан в Facebook, Google и Instagram. Быстро чекает ограничения на площадках и дает вердикт, идеально для проверки покупных/дроп доменов. Ранее мы также выкладывали прочие бесплатные инструменты под залив с FB и Google. #service #fb #google
Туториал «Полный разбор настройки заливов с Google ADS» Рассматриваются создание рекламных кабинетов, запуск поисковых кампаний, Performance Max, Demand Gen, КМС и YouTube, сбор ключей, настройка конверсий, работа с аудиториями, обучение стратегий. Уделяется время изучению менее популярных фич по типу автоправил, A/B тестов, расширенному таргетингу и тд. Напомним, что ранее мы также публиковали материал с архитекту…
ВО ЧТО ПЕРЕРОЖДАЕТСЯ АРБИТРАЖ ТРАФИКА И ПОЧЕМУ ОН УЖЕ НЕ ТОТ 🔥 Разберем как арбитраж прошел путь от соло ремесла до полноценного бизнеса с крупными баингами и распределением ролей. Изучим, почему вырос порог входа, куда исчезли самостоятельные арбитражники, как на рынок повлияли алгоритмы, рост антифрода и почему сегодняшняя модель — это не конец. 🎬 Смотреть: youtu.be/z_m7KQD47iA
Showing the 12 most recent of 67 posts we hold for @piratecpa. 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.
Forward network
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.
Mentions
Named by 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@CPAFMRU · 1,0256 postsNeuroWeb
@NeuroWebTools · 3664 postsАнонимность в сети
@Anonimnyi_internet · 3703 postsMODRINEX
@modrinex · 8,1693 postsЛайфхак | Lifehack
@cool_lifehack · 2002 postsGlobal iGaming Digest
@Globaigaming · 1562 postsНа всякий случай
@slegadv · 72 postsАрбитраж Трафика | Бесплатные Курсы 💰
@aff_core · 2,1131 post🥖 Блог
@batonBlog · 1,4571 postFiles Free Russian Dating
@Dating_at_the_factory · 3781 postПереходная страница
@doorways_conf · 201 postПереходная страница
@doorways_life · 1351 postДорвеи, SEO etc.
@doorwaysclub · 5601 postДоход в Движении!
@doxodvdvijenii · 1,0901 postПереходная страница
@ironbetchat · 1031 postКрипто Схематоз
@kripto_sxematoz · 1871 postлиды без воды
@leadsonly · 9791 postПереходная страница
@malicecrew · 131 postПереходная страница
@offergate_arbitrage · 1111 postПереходная страница
@pirate_traff · 81 postЧто-нибудь про арбитраж трафика
@proarbitrajtraffica · 3951 postSEXY STUDIO EXAMPLES
@SEXY_STUDIOEX · 2171 postШараж - Арбитраж
@sharazh_arbitrazh · 1581 postFB Ads 🔥 Арбітраж та Навчання
@sokol_ads1 · 791 post
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@pavelprotraffic · 12,841#1
@yellow_web · 16,447#2
@glazcukera · 8,256#3
@tgfilestorage · 5,860#4
@ohmyclick · 8,572#5
@adamanttraf · 9,050#6
@adamusfb · 6,943#7
@trafficcardinal · 18,932#8
@thepartnerkin · 32,256#9
@cpa_lenta · 122,026#10
@fb_killa · 15,845#11
@adsninja · 9,837#12
@TRAFF_AGREGATOR · 4,042#13
@googleAdsfx · 6,100#14
@makemoneyteam_blog · 9,867#15
@facebookovich · 10,051#16
@cpagram · 7,140#17
@konvertov · 3,336#18
@cryptoyoutu · 8,084#19
@affiliatediaries · 6,604#20
@MoneyBeatsEvil · 10,955#21
@zorbasmedia · 7,507#22
@mustage_channel · 8,892#23
@palai_media · 7,056#24
@sirka_cpa · 4,152#25
@reg2bet · 25,043#26
@traffgo · 1,729#27
@thePBtimes · 3,418#28
@work_life_job · 3,632#29
@zmrecruiting_1 · 6,703#30
@DenisenkoDenis · 4,050#31
@lilgambling_ads · 3,035#32
@polig_on · 4,692#33
@pirate_hr · 3,020#34
@teashannibal · 2,434#35
@aff_core · 2,113#36
@hr_affiliate · 34,212#37
@the_creative_off · 10,661#38
@traffnews · 7,018#39
@arbiiitrage_ua · 15,465#40
@creativeforcpa · 4,971#41
@twitterfx · 1,637#42
@soctrash · 2,603#43
@luckybuying · 3,873#44
@trafmoney · 3,289#45
@affy_hr · 14,282#46
@AQTRAFF · 6,707#47
@Media_Epic · 5,985#48
@afterzavod · 6,928#49
@netraffgambling · 3,683#50
@owner1w · 24,594#51
@arbitrajtt · 3,311#52
@seodreamteamofficial · 7,331#53
@bakushevaseo · 8,266#54
@spamschool · 5,477#55
@Dorvey · 5,143#56
@wildo_blog · 8,422#57
Read from Telegram’s recommendation API, most recently 9 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@cpa_lenta · 122,026
Telegram ranks this channel #5 of 65 here — alongside 64 others — read 6 September 2026
@thepartnerkin · 32,256
Telegram ranks this channel #8 of 66 here — alongside 65 others — read 6 September 2026
@hr_affiliate · 34,212
Telegram ranks this channel #11 of 68 here — alongside 67 others — read 6 September 2026
@Arbitrazh_vakansii_rabota · 27,985
Telegram ranks this channel #28 of 66 here — alongside 65 others — read 10 September 2026
@dengi4444 · 24,048
Telegram ranks this channel #48 of 74 here — alongside 73 others — read 17 September 2026
@owner1w · 24,594
Telegram ranks this channel #50 of 73 here — alongside 72 others — read 15 September 2026
@serge_ai · 57,484
Telegram ranks this channel #78 of 99 here — alongside 98 others — read 23 August 2026
This channel appears in 8 seed channels' Telegram-generated recommendation lists in total, of which the 7 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“PIRATE CPA // Channel” (@piratecpa), 28,911 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/piratecpa.
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.