Diamond prices have hit their lowest point this century, plummeting 70% from their 2011 peak. ✅@futures
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Channel
@Airdropxcaptain
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
46,948subscribers
-441 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002075149261 |
|---|---|
| Type | Channel |
| Username | @Airdropxcaptain |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/Airdropxcaptain |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 18:34 | 46,948 | -58 |
| 13 Aug 2026, 10:28 | 47,006 | -80 |
| 12 Aug 2026, 09:02 | 47,086 | -37 |
| 11 Aug 2026, 10:26 | 47,123 | -115 |
| 10 Aug 2026, 09:01 | 47,238 | -75 |
| 9 Aug 2026, 09:12 | 47,313 | -38 |
| 8 Aug 2026, 07:51 | 47,351 | -38 |
| 7 Aug 2026, 17:48 | 47,389 | first reading |
58 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 20 pagesof Telegram’s post history, 20 posts per page.
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 51 of 58 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 58 (4 August 2026 – 14 August 2026) |
| Views total | 60,110 |
| Reactions total | 177 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 12:11 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.
Measured directly from 7 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.
177 reactions across 51 posts, in 18 distinct kinds. The most used accounts for 13.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 23 | 13.0% | |
| 👏 | 22 | 12.4% | |
| 😍 | 20 | 11.3% | |
| 🤗 | 17 | 9.60% | |
| 🎉 | 15 | 8.47% | |
| ❤ | 14 | 7.91% | |
| 👀 | 12 | 6.78% | |
| 💯 | 11 | 6.21% | |
| 🤔 | 10 | 5.65% | |
| 😁 | 7 | 3.95% | |
| 😇 | 6 | 3.39% | |
| 🤩 | 6 | 3.39% | |
| 👍 | 3 | 1.69% | |
| 😈 | 3 | 1.69% | |
| 🥰 | 3 | 1.69% | |
| 🌚 | 2 | 1.13% | |
| 🎃 | 2 | 1.13% | |
| 🤝 | 1 | 0.565% |
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 51 of the 58 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 177reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 4 August 2026 to 14 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.
Diamond prices have hit their lowest point this century, plummeting 70% from their 2011 peak. ✅@futures
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⚡️ Fintech is moving fast. Are you wired in? 📉 Market flips. 🪙 Chain shocks. 📈 Fintech revolutions. 🔗 @pulsewire3 — PulseWire delivers: • Real-time Bitcoin & market updates • Blockchain breakthroughs decoded • Fintech trends that actually matter • Expert insights, sharp takes, zero filler 🧠 Smart content for people who move capital — not just follow it. 👇 Stay connected. Stay sharp: 👉 https://t.me/pulsewire3 #s…
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Trading is a game with a deceptive scoreboard. Do everything right and still lose. Do everything wrong and still win. The only way to survive a game that lies to you? Stop playing for the score. ✅@futures
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⚡️ BREAKING: The U.S. has deployed a new aircraft carrier to the Middle East amid escalating tensions with Iran, placing additional strain on military resources. ✅@futures
📈 Michael Burry’s Short Bets Backfire in a Big Way Every stock Michael Burry targets for a short is skyrocketing—some up 10-20% in a single day. His recent short on Nebius (NBIS), linked to Arkady Volozh, has already surged 40% since he entered the position. In the US, a new playbook is gaining traction: simply go long on whatever Burry is betting against. It's quickly becoming one of the market’s most reliable sho…
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⚡️ BREAKING: U.S. states it’s ready to maintain a blockade on Iran for as long as needed. ✅@futures
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🔥 AI Boom Intensifies as Nvidia Spearheads $500B Funding Drive The AI surge shows no signs of slowing—fueling both innovation and concerns of overheating. Nvidia has joined forces with Apollo Global, Blackstone, BlackRock, Brookfield, Goldman Sachs, and KKR to raise approximately $500 billion for AI infrastructure. The coalition is focused on meeting surging demand for data center development. Together, these firm…
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If you could revisit your very first day of trading, armed with all the knowledge you've gained since… What would you say to your past self? ✅@futures
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⚡️ BREAKING: Trump faces lawsuit over plans to sell priority access to Truth Social posts. ✅@futures
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⚡️ JUST IN: Trump claims Iran's IRGC is shattered and retreating, labeling it "the Middle East's bully — now gone." ✅@futures
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👍 Anthropic Gears Up for Landmark IPO This Fall Anthropic is now conducting investor roadshows ahead of a possible September–October IPO, a move that could mark the largest public debut ever. The company’s pre-IPO valuation is set at $965 billion. In contrast, OpenAI is expected to go public later, potentially not until next year. CEO Dario Amodei remains unfazed by competition from China, noting that users consist…
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Claude AI has begun watermarking its generated content — the mark stays intact even when copied and pasted. This move targets the misuse of AI in writing theses, dissertations, and books. ✅@futures
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Showing the 12 most recent of 58 posts we hold for @Airdropxcaptain. 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 — 113,069 of 1,340,412entries 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.
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.
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.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“CryptoFlash: Breaking news” (@Airdropxcaptain), 46,948 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Airdropxcaptain.
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.