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Telegram profile photo for iGaming Hunter | Вакансии из Gambling, Betting и Crypto сферы

Channel

iGaming Hunter | Вакансии из Gambling, Betting и Crypto сферы

@igaming_hunter

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry

12,950subscribers

+1,086 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001900213465
TypeChannel
Username@igaming_hunter
DescriptionВакансии и публикации исключительно из индустрии iGaming: Gambling, Betting, Crypto и Affiliate Marketing. Сайт: http://cpalenta.ru Чат: @cpa_podslushano Связь: @uragan_owner Каналы и чаты о трафике: https://t.me/addlist/EfbBB4gPLtdhZGU6
CreatedBetween 1 February 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/igaming_hunter

Topic

Job listings — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 in near-verbatim form 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)
Posted firstThenOverlapGap
@igaming_hunter/727 · this entry30 Jul 2026, 18:29 UTC@cpa_doska/423130 Jul 2026, 18:30 UTC1.00under a minute
@igaming_hunter/728 · this entry31 Jul 2026, 09:04 UTC@cpa_doska/423231 Jul 2026, 09:17 UTC1.0013 minutes
@igaming_hunter/735 · this entry19 Aug 2026, 14:34 UTC@cpa_doska/425019 Aug 2026, 14:37 UTC1.003 minutes
@igaming_hunter/754 · this entry16 Oct 2026, 15:23 UTC@cpa_doska/430516 Oct 2026, 15:25 UTC1.002 minutes
@igaming_hunter/756 · this entry21 Oct 2026, 08:00 UTC@cpa_doska/430921 Oct 2026, 08:04 UTC1.004 minutes
@igaming_hunter/758 · this entry22 Oct 2026, 09:41 UTC@cpa_doska/431422 Oct 2026, 09:42 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@cpa_doska6 (6/6 hand-verifiable sample passed)1.003 minutesthis entry (6–0)
@cpa_offers6 (6/6 hand-verifiable sample passed)1.002 minutesthis entry (6–0)
@aff_job5 (5/5 hand-verifiable sample passed)1.0072 secondsthis entry (4–1)

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 49 comparable posts for this entry, running 31 May 2026 to 6 November 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).

Views per post sit far above this size band

27,600 average views per post against 12,769 subscribers — an engagement rate of 216.2%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.

What this was computed from
Window30 days (6 October 2026 – 5 November 2026)
Posts measured14 of 14 published in the window (2 exact, 12 rounded by Telegram)
Views totalled386,406
Mature posts only232.5% over 13 posts read at least 24h after publication
Subscribers12,769 measured 4 November 2026
Cohortb10000:rus · 21,335 channels · p10 2.94% · p25 5.84% · p50 12.1% · p75 23.6% · p90 42.5%
Position in cohort99.934th percentile · 17.9× the cohort median
Uncertainty±0.02% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_source · err_high, last confirmed 11 November 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.

Growth

11,84712,95012,398.57 August 202612 November 2026
64 measurements spanning 97 days, net +1,086. 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 11,682–13,115 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
12 Nov 2026, 18:2112,950+149
10 Nov 2026, 17:3612,801+15
9 Nov 2026, 01:3712,786+5
7 Nov 2026, 14:5112,781+4
6 Nov 2026, 17:5812,777+10
5 Nov 2026, 16:4012,767-2
4 Nov 2026, 18:5912,769-6
3 Nov 2026, 19:5612,775+19
2 Nov 2026, 22:1612,756+8
1 Nov 2026, 22:4812,748+1
31 Oct 2026, 23:2812,747-6
30 Oct 2026, 20:2912,753+4
29 Oct 2026, 21:1112,749+18
28 Oct 2026, 21:5112,731+34
27 Oct 2026, 20:5112,697+9
26 Oct 2026, 22:3712,688+12
26 Oct 2026, 00:2612,676+4
24 Oct 2026, 05:5712,672+10
22 Oct 2026, 08:1912,662-2
21 Oct 2026, 04:1112,664first reading

Engagement

51 posts held, back to 31 May 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 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
194.2%
avg views ÷ 12,950 subscribers
Avg views / post
25,200
15 posts measured
Reaction rate
0.114%
reactions ÷ views · ER floor
Posts in window
15
of 51 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 13 of 15 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 9 November 2026
Posts held51 (31 May 2026 – 9 November 2026)
Views total377,251
Reactions total429
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 08:59 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
56
Videos
5
Links
44

Lifetime counters from Telegram’s own channel header, read 13 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.

Video runtime
5s
Average length
5s

Measured directly from 1 video 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.

Reaction mix

2,087 reactions across 46 posts, in 20 distinct kinds. The most used accounts for 19.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍39819.1%
😢2039.73%
😁1959.34%
🤮1858.86%
🤯1818.67%
🤔1708.15%
🤬1627.76%
👎1567.47%
😱1527.28%
💩1376.56%
❤723.45%
🤡391.87%
🔥170.815%
🤝50.24%
👌40.192%
🤣40.192%
👏30.144%
🖕20.096%
😐10.048%
🥱10.048%

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 48 of the 51 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 2,087 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 51 most recent posts we hold, published 31 May 2026 to 9 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 51 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @igaming_hunter. 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 51 most recent posts we hold for this entry, published 31 May 2026 to 9 November 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

Telegram’s own ‘edited’ marker: 1 of 15 posts held from the last 30 days (6.67%) 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).

9 Nov 2026, 18:15 UTC791 viewsread 13 November 2026
Photo

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6 Nov 2026, 14:24 UTC≈1,440 views1 reactionsread 13 November 2026

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4 Nov 2026, 13:46 UTC≈1,140 views9 reactionsread 13 November 2026

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3 Nov 2026, 13:09 UTC≈1,140 views2 reactionsread 13 November 2026

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29 Oct 2026, 16:06 UTC≈1,500 views10 reactionsread 13 November 2026

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😁9❤1

25 Oct 2026, 13:18 UTC≈80,100 views0 reactionsread 13 November 2026

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23 Oct 2026, 12:07 UTC≈80,500 views1 reactionsread 13 November 2026

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22 Oct 2026, 10:57 UTC≈46,200 views1 reactionsread 13 November 2026

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22 Oct 2026, 09:41 UTC≈1,380 viewsread 13 November 2026
Photo

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21 Oct 2026, 09:43 UTC≈57,700 views5 reactionsread 13 November 2026

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21 Oct 2026, 08:00 UTC≈1,220 views0 reactionsread 13 November 2026
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19 Oct 2026, 15:29 UTC≈55,100 views6 reactionsread 13 November 2026

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Showing the 12 most recent of 51 posts we hold for @igaming_hunter. 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.

Mentions

Named by 86 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.

CPA Courses | Курсы и мануалы арбитража трафика
@cpa_courses · 12,042
9 posts
AFF Job | Вакансии в арбитраже, CPA, affiliate-маркетинге
@aff_job · 17,238
8 posts
Sparky & Affiliate Marketing
@sparky_aff · 9,630
8 posts
teftelkaaa | Арбитраж трафика
@teftelkaaa_andrey · 11,732
8 posts
CPA Doska | Объявления арбитража трафика
@cpa_doska · 12,472
7 posts
Whatie арбитражит | Life & арбитраж трафика
@whatie_affiliate · 9,719
7 posts
Тони [FTEAM] | Арбитраж трафика
@bad_traffer · 9,709
6 posts
Benzo Affiliate | Блог о трафике
@benzo_traff · 9,744
6 posts
Chance Arbitrage | Affiliate Marketing
@chance_arbitrage · 10,040
6 posts
Commandos Team | Арбитраж трафика
@commandos_traffic · 11,896
6 posts
CPA Offers | Офферы арбитража трафика
@cpa_offers · 12,781
6 posts
AFF Лента | Новости арбитража трафика
@cpa_update · 9,815
6 posts
CPA Events | Конференции арбитража трафика
@cpa_video · 11,070
6 posts
GEON TEAM | Блог арбитражной команды
@geon_team · 10,481
6 posts
Я Арбитражник💲
@iarbitragnic · 10,160
6 posts
SMM Лента | Новости социальных сетей
@smm_bosses · 9,495
6 posts
WAKKO в трафике | Арбитраж
@wakko_traffic · 9,632
6 posts
Waneti про Affiliate Marketing
@waneti_cash · 9,770
6 posts
Кристина Кон | Арбитраж трафика
@kris_traff · 11,081
5 posts
ASO Лента | Новости продвижения в сторах
@seo_aso_news · 9,522
5 posts
Вещает Sky Team | Арбитраж трафика
@sky_affiliate · 10,760
5 posts
Telegram News | Трафик в телеграм
@sotrudnik_telegram · 9,662
5 posts
WHITE AFFILIATE | Арбитраж трафика
@white_affiliate · 9,963
5 posts
AFFILIATE WORK | Вакансии и работа в арбитраже трафика
@works_affiliate · 13,714
5 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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“iGaming Hunter | Вакансии из Gambling, Betting и Crypto сферы” (@igaming_hunter), 12,950 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/igaming_hunter.

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.