🤝 Welcome dear subscribers! 🤝
💧 We will do our best to share the Legitimate #airdrop Bounty Giveaway etc.
🔬We make Airdrop also.
📣 Promotion & Advertising: @AirdropPresentsService Or @LillyJura or @Subair
🪂 Twitter: X.com/PresentsAirdrop 350k+
Created
Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 99% 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.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. 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)
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 2 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 20 comparable posts for this entry, running 23 April 2025 to 6 June 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).
Across the whole group of 2, the earliest publisher we hold is @airdrop_Presents — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
7 measurements spanning 5 days, net -608. 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 201,934–202,724 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 22:54
202,025
-74
11 Aug 2026, 00:04
202,099
-108
10 Aug 2026, 00:29
202,207
-217
9 Aug 2026, 00:54
202,424
-99
8 Aug 2026, 02:18
202,523
-103
7 Aug 2026, 04:50
202,626
-7
7 Aug 2026, 04:16
202,633
first reading
Engagement
20 posts held, back to 23 April 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof 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 20 posts for this entry, the most recent from 6 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
584
Videos
52
Links
654
Lifetime counters from Telegram’s own channel header, read 12 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.
Video runtime
13s
Average length
13s
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
3,601 reactions across 20 posts, in 13 distinct kinds. The most used accounts for 21.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
766
21.3%
❤
749
20.8%
🎉
634
17.6%
🔥
594
16.5%
💯
192
5.33%
😍
186
5.17%
🥰
172
4.78%
🤩
153
4.25%
❤🔥
128
3.55%
😁
21
0.583%
👌
3
0.083%
🍓
2
0.056%
⚡
1
0.028%
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 20 of the 20 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 3,601reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 23 April 2025 to 6 June 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.
🪂 Airdrop » ONDO ✅️
💲 Reward: worth of 700 #ONDO (~$260) each for 140 #ONDO (~$52)
💎 Presents Ratings: ⭐️⭐️⭐️⭐️⭐️
👑 Winners: All Eligible Participants
➡️ Airdrop Bot Join for ONDO
📚 How to Join Airdrop?
↪️ Join the ONDO on Telegram Group (Required Task)
↪️ Follow Twitter page Retweet the Pinned Post & Tag 3 Friends. (Required Task)
↪️ Engage with posts
📅 Start Date: Live Now
⏳ End Date: 15th June 2026
✏️ Notes…
🪂 Airdrop » LayerZero ✅️
💲 Reward: worth of 100 #ZRO (~$220) each for 20 #ZRO (~$44)
💎 Presents Ratings: ⭐️⭐️⭐️⭐️⭐️
👑 Winners: All Eligible Participants
➡️ Airdrop Bot Join for LayerZero
📚 How to Join Airdrop?
↪️ Join the LayerZero on Telegram Group (Required Task)
↪️ Follow Twitter page Retweet the Pinned Post & Tag 3 Friends. (Required Task)
↪️ Engage with posts
📅 Start Date: Live Now
⏳ End Date: 10th April 2…
🪂 Airdrop » Mezo ✅️
💲 Reward: Mezo Bankcard & MATS + Referral for ➕ Points
💎 Presents Ratings: ⭐️⭐️⭐️⭐️⭐️
👑 Winners: all user participants
➡️ Airdrop page Join for Mezo
📚 How to Join Airdrop?
↪️ Subscribe to Mezo Discord channel.
↪️ Navigate to the bankcard channel. The bot will automatically generate your personalized Mezo Bankcard.
↪️ Post the screenshot of your Mezo Bankcard on your X account by using the t…
🚀 Airdrop: CrypGPT ✅
💰 Reward: 2,500 USDT Pool
👥 Eligibility: Open for All Users
⏳ Distribution: TBA
👉 Airdrop Bot: CrypGPT Airdrop Bot Link
🧭 How to Participate:
1️⃣ Join the CrypGPT Telegram Group & Channel
2️⃣ Follow CrypGPT on Twitter
3️⃣ Follow CrypGPT on Instagram
4️⃣ Complete all tasks inside the Airdrop Bot
5️⃣ Submit your required information in the bot
🏆 Rewards Breakdown:
• 300 Random Participants will …
🚀 Airdrop: Gold Park 💧
💰 Reward: 250 USDT for 50 Random Participants
👥 Eligibility: Open for All Users
📅 End Date: November 6, 2025
⏳ Distribution: TBA
👉 Airdrop Bot: Click Here To Join Gold Park Bot
🧭 How to Participate:
1️⃣ Join Gold Park Telegram Group & Channel
2️⃣ Follow Gold Park on X (Twitter) and repost the pinned post, tagging 3 friends
3️⃣ Follow Gold Park on Instagram
4️⃣ Complete additional tasks availa…
🚀 Airdrop: CrypGPT 💧
💰 Reward: 500 USDT for 10 Random Participants
⏳ Distribution: TBA
🌐 Listed On: PancakeSwap
👉 Airdrop Bot: Join CrypGPT Bot
🧭 How to Participate:
1️⃣ Join CrypGPT Telegram Group & Channel
2️⃣ Follow CrypGPT on X (Twitter)
3️⃣ Like & Repost the pinned post — tag 3 friends
4️⃣ Complete other tasks in the bot
5️⃣ Submit your details to the airdrop bot ✅
⚠️ Notes: Airdrop will end on November 5, 2…
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🪂 Airdrop » Greendale ✅️
💲 Reward: Prize 1,000,000 $GDS Tokens (Est. Value $500,000)
💰 Bonus: Exclusive NFT Whitelist spots
💎 Presents Ratings: ⭐️⭐️⭐️⭐️⭐️
👑 Winners: 5,000 user participants
➡️ Airdrop Page Join For Greendale
📚 How to Join Airdrop?
↪️ Join Greendale on Telegram Channel (Required Task)
↪️ Follow Twitter page Retweet the Pinned Post & Tag 3 Friends. (Required Task)
✏️ Notes: Make sure to comple…
👍48🔥45❤43🎉29🥰3
Showing the 12 most recent of 20 posts we hold for @airdrop_Presents. 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
Citation-graph rank — 321,203 of 1,151,006entries 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 4 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.
Handles this channel named that no longer answer
Dead references
5
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
5
vacant every time we have ever looked
@airdrop_Presents named 5 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@officialsquidgametoken3 named in 5 posts, 8 August 2026 – 12 August 2026
@stargate_airdropbot named in 5 posts, 8 August 2026 – 12 August 2026
@yes_protocol_official named in 4 posts, 8 August 2026 – 12 August 2026
@buyxinkrobotbot named in 4 posts, 8 August 2026 – 11 August 2026
@layerzeroairdropsbot named in 4 posts, 8 August 2026 – 11 August 2026
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 11 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.
Official Airdrop Pro ️ @OfficialAirdropPro · 182,809 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 12 August 2026
Immortal Airdrops @immortal_airdrops · 623,284 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 10 August 2026
Airdrop Comic @airdropcomic · 321,837 Telegram ranks this channel #8 of 91 here — alongside 90 others — read 10 August 2026
Airdrop Kart @AirdropKartOfficial · 175,902 Telegram ranks this channel #20 of 90 here — alongside 89 others — read 12 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. 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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“Airdrop Presents 🗽” (@airdrop_Presents), 202,025 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/airdrop_Presents.
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.