Giveaways & airdrops — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 91% 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.
Views per post sit far below this size band
351 average views per post against 367,825 subscribers — an engagement rate of 0.096%. Across the 485 registered channels in the same cohort — 316,892–995,988 subscribers, posting mainly in Russian — the middle half sit between 2.80% and 19.1%, with a median of 7.25%.
What this was computed from
Window
30 days (17 July 2026 – 16 August 2026)
Posts measured
86 of 86 published in the window (86 exact, 0 rounded by Telegram)
Views totalled
30,214
Mature posts only
0.098% over 78 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below 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 key err_low, last confirmed 17 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.
Growth
10 measurements spanning 9 days, net -5,165. 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 367,050–373,765 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 15:45
367,825
-896
15 Aug 2026, 00:15
368,721
-846
13 Aug 2026, 13:48
369,567
-380
12 Aug 2026, 12:24
369,947
-621
11 Aug 2026, 09:08
370,568
-669
10 Aug 2026, 10:40
371,237
-603
9 Aug 2026, 10:11
371,840
-581
8 Aug 2026, 07:11
372,421
-569
7 Aug 2026, 09:30
372,990
no change
7 Aug 2026, 09:29
372,990
first reading
Engagement
89 posts held, back to 4 August 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 26 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
0.095%
avg views ÷ 367,825 subscribers
Avg views / post
351
89 posts measured
Reaction rate
0.417%
reactions ÷ views · ER floor
Posts in window
89
of 89 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 53 of 89 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 17 August 2026
Posts held
89 (4 August 2026 – 17 August 2026)
Views total
31,262
Reactions total
80
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
17 Aug 2026, 09:24 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
≈5,250
Videos
≈89
Links
≈5,350
Lifetime counters from Telegram’s own channel header, read 17 August 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.
Reaction mix
80 reactions across 52 posts, in 11 distinct kinds. The most used accounts for 66.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
53
66.3%
🔥
14
17.5%
👀
3
3.75%
⚡
2
2.50%
👍
2
2.50%
❤🔥
1
1.25%
🎉
1
1.25%
💯
1
1.25%
🕊
1
1.25%
😁
1
1.25%
🤓
1
1.25%
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 53 of the 89 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 80reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 4 August 2026 to 17 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.
🚀 Binance вновь обошел CME Group по открытым позициям по фьючерсам на биткойн, впервые с конца 2023 года. В данный момент Binance удерживает около 148,500 BTC, в то время как CME располагает 102,840 BTC. Этот разворот ставит под сомнение двухлетнюю доминацию институциональных инвесторов и вызывает вопросы о влиянии традиционных финансов на рынок.
@AIRDROP HUNTER CIS
🌐 DAPP
📈 Открытый интерес по perpetual-контрактам на акции SNDK достиг $1,73 млрд на криптовалютных площадках, в то время как суточный объем торгов увеличился до $2,51 млрд.
@AIRDROP HUNTER CIS
🌐 DAPP
📉 Акции SK Hynix торгуются по цене, в 5 раз превышающей их прибыль, несмотря на впечатляющий рост выручки на 257%.
Снижение котировок компании подчеркивает рыночный скептицизм и риски, связанные с зависимостью от ИИ и конкурентным давлением.
@AIRDROP HUNTER CIS
🌐 DAPP
💰 Внимание: на рынке биткоина назревает ловушка с плечом в $48 миллиардов!
Малые положительные офшорные фонды выставили длинные позиции на случай падения, в то время как чистая короткая позиция CME создает канал для восходящего сжатия. Это может привести к массовому выходу трейдеров в момент, когда цены пересекут определенные границы.
@AIRDROP HUNTER CIS
🌐 DAPP
🇺🇸 Техас отказывается продавать свои биткоины, несмотря на снижение стоимости инвестиции с $10 млн до $6.6 млн.
Государственный резерв связан с IBIT, однако в подаче не указаны ни портфель, ни достоверная долларовая оценка активов.
@AIRDROP HUNTER CIS
🌐 DAPP
💰 Wall Street адаптировала стейкинг под дивиденды!
Файлы Grayscale, поданные в SEC 17 июля, сообщают, что ETF по стейкингу Ethereum и Solana будут конвертировать вознаграждения от стейкинга в наличные и распределять их среди акционеров как минимум раз в квартал. Ожидаемые изменения вступят в силу около 7 августа.
Однако разработчики Solana и Ethereum рассматривают протокольные изменения, которые могут сократить дох…
📉 Биткоин-ETF потеряли почти $390 млн за неделю с 10 по 14 августа 2026 года.
Согласно данным SoSoValue, в этот период наблюдался совокупный отток капитала в секторе спотовых биткоин-ETF в США. Отток происходил в четыре из пяти торговых сессий, при этом наибольшие потери понес IBIT от BlackRock — $78,96 млн.
В то же время SOL-ETF продолжали привлекать новый капитал, демонстрируя противоположную динамику на фоне нес…
🇮🇷 Иран предупредил США и Израиль о возможной дорогой расплате за враждебные действия.
Это заявление усиливает региональную нестабильность и может помешать дипломатическим усилиям, а также повлиять на рыночную уверенность в будущих сделках между США и Ираном.
@AIRDROP HUNTER CIS
🌐 DAPP
📈 Hyperliquid сообщает о том, что реальные активы (RWA) стали причиной привлечения 32% новых пользователей в начале 2026 года.
Этот рост на платформе подчеркивает изменение рыночной динамики, что может повлиять на дальнейшую адаптацию платформы и тенденции ценообразования.
@AIRDROP HUNTER CIS
🌐 DAPP
✈️ Возобновление авиарейсов в аэропорту Бандар-Аббас в Иране может свидетельствовать о возможном смягчении напряженности между США и Ираном. Это событие может оказать влияние на региональную стабильность и восприятие рынков.
@AIRDROP HUNTER CIS
🌐 DAPP
Конференция «Недвижимость и капитал» — инвестиции, партнерства, новые возможности
🏙 Приглашаем вас 3 октября на конференцию «Недвижимость и капитал» — одно из ключевых деловых событий для инвесторов, девелоперов, предпринимателей, представителей финансового сектора и профессионалов рынка недвижимости.
Вы в поисках инвестиционных проектов и стратегий распределения капитала?
Ищете новые партнерства, идеи для масштаби…
🔥4⚡1❤1💯1
Showing the 12 most recent of 89 posts we hold for @airdrop_hunter_public. 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.
Posts edited after publishing
@airdrop_hunter_public edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
16 August 2026
Most recent edit
16 August 2026
Citation-graph rank
Citation-graph rank — 772,779 of 1,481,502entries 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.
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.
Read from Telegram’s recommendation API, most recently 10 August 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.
Engage ADS on Ton @EngageADS · 335,785 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 10 August 2026
Pro Blockchain @Pro_Blockchain · 165,860 Telegram ranks this channel #3 of 88 here — alongside 87 others — read 12 August 2026
Petrovskogo @Petrovskogo_V · 164,921 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 12 August 2026
KRIPTOLOL | Заработок на инвестициях и криптовалюте @airolejon · 256,272 Telegram ranks this channel #9 of 85 here — alongside 84 others — read 10 August 2026
PRO TRADING SQUAD @PROBLOCKCHAINSQUAD · 296,770 Telegram ranks this channel #26 of 87 here — alongside 86 others — read 10 August 2026
Evgeniy Shevchenko CRYPTORUN @cryptorun · 132,771 Telegram ranks this channel #42 of 90 here — alongside 89 others — read 13 August 2026
Semenchuk's thoughts @semenchuk_eng · 345,987 Telegram ranks this channel #45 of 84 here — alongside 83 others — read 10 August 2026
ChangeNOW Announcements @CNAnnouncements · 129,035 Telegram ranks this channel #51 of 88 here — alongside 87 others — read 13 August 2026
Easy busy | with Tony Schneider 🇬🇧 @easy_busy_eng · 305,577 Telegram ranks this channel #52 of 87 here — alongside 86 others — read 10 August 2026
The Shadow Order @theshadoworder · 307,574 Telegram ranks this channel #54 of 88 here — alongside 87 others — read 11 August 2026
TON News @new_ton_news · 196,799 Telegram ranks this channel #55 of 86 here — alongside 85 others — read 11 August 2026
PRO BLOCKCHAIN INTERNATIONAL @cryptopbm · 213,235 Telegram ranks this channel #64 of 86 here — alongside 85 others — read 11 August 2026
Scam Buster | Truth & Exposure @scambusterofficial · 132,846 Telegram ranks this channel #75 of 87 here — alongside 86 others — read 13 August 2026
Reto Schneider - Crypto Trading Signals @retoschneider · 460,423 Telegram ranks this channel #77 of 85 here — alongside 84 others — read 10 August 2026
LamboTap Official Channel 🏎 @lambotap · 180,435 Telegram ranks this channel #82 of 85 here — alongside 84 others — read 12 August 2026
$NASDUCK Community @nasduck_official · 237,333 Telegram ranks this channel #85 of 85 here — alongside 84 others — read 11 August 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
2 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“AirdropHunter (CIS)” (@airdrop_hunter_public), 367,825 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/airdrop_hunter_public.
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.