Giveaways & airdrops — 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 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 the other topics.
Growth
22 measurements spanning 82 days, net -882. 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 8,247–9,393 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)
Subscribers
Change
28 Oct 2026, 22:09
8,379
-26
25 Oct 2026, 11:38
8,405
-31
22 Oct 2026, 05:40
8,436
-29
19 Oct 2026, 05:47
8,465
-28
16 Oct 2026, 13:30
8,493
-30
13 Oct 2026, 03:48
8,523
-58
7 Oct 2026, 04:17
8,581
-81
30 Sept 2026, 14:19
8,662
-148
15 Sept 2026, 22:17
8,810
-29
12 Sept 2026, 04:39
8,839
-40
8 Sept 2026, 07:41
8,879
-60
3 Sept 2026, 10:26
8,939
-51
30 Aug 2026, 22:02
8,990
-32
28 Aug 2026, 02:47
9,022
-45
24 Aug 2026, 20:45
9,067
-45
20 Aug 2026, 19:44
9,112
-31
18 Aug 2026, 04:53
9,143
-42
15 Aug 2026, 00:08
9,185
-35
11 Aug 2026, 12:05
9,220
-36
8 Aug 2026, 06:00
9,256
first reading
Engagement
20 posts held, back to 18 September 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 30 pages of 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 29 October 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
2 reactions across 2 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2
100.0%
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 3 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 2 reactions 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 18 September 2025 to 29 October 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Sorry guys, I haven’t been updating much lately
Right now I’m not really doing many airdrops anymore most of them are just dust anyway :)
Instead, I’ve been focusing more on Yaps on X.
Here are some Yap platforms that you can join - many of them have pretty big reward pools 👇
1. Kaito
https://yaps.kaito.ai/referral/1660828708893257728
There’s a gating system - ICTs are prioritized but some projects are open f…
#Airdrop43 #Openmind
✅Openmind Update
free mint NFT
https://fabric.openmind.org
How to join:
1️⃣ Log in to your account
2️⃣ Go to Profile
3️⃣ Select My FABRIC Identity
4️⃣ Connect your EVM wallet
5️⃣ Mint your identity (free)
✅ Done! You’ll receive your personal NFT.
#Airdrop151 #idOS
🔥 idOS: The idOS, also known as the Identity Operating System, is an open-source, composable, and interoperable solution designed to function as the identity layer of Web3.
💰Raise: 4,5M (circle, fabric ventures, arbitrum foundation)
🎁Reward: Point
🤑Potential: 100$ - 500$
💸Fee: 0
⏰Deadline: N/A I Listing: N/A
1️⃣ Follow the link and create a profile
1. Go to: https://app.idos.network?ref=07…
#Airdrop150 #Rainbow
🔥 Rainbow: Rainbow Wallet is a versatile suite of tools designed to streamline cryptocurrency management.
💰Raise: 20M (Seven Seven Six, Digital Currency Group (DCG))
🎁Reward: Point
🤑Potential: 100$ - 500$
💸Fee: 0
⏰Deadline: N/A I Listing: Q4/2025
1️⃣ Download the wallet and import your seed phrase or private key from Metamask or OKX Wallet
LinK: https://rainbow.me/points?ref=FP5HUN
2️⃣ G…
#Airdrop46 #T-Rex
🔥 T-Rex: T-Rex is a purpose-built blockchain designed to transform Web3 engagement by seamlessly integrating with Web2 platforms like YouTube, TikTok, and X .
💰Raise: 17M (Framework, Hypersphere)
🎁Reward: Point, badge
🤑Potential: 100$ - 500$
💸Fee: 0
⏰Deadline: N/A I Listing: N/A
T-Rex has added a section with badges and quests to its website. We can complete them to qualify for a potential air…
🔥Trade to Earn with $ASTER🔥
✅ Reward Pool: 320M $ASTER ~ $700M (crazy big)
I don’t really see much FOMO yet, and I think there could be a massive airdrop to attract traders, since the project is aiming to compete directly with Hyperliquid.
✅ End Date: October 5th (10 days left)
✅ $ASTER is being heavily shilled by CZ. Trading through Binance Wallet also gives you +10% Rh points.
🏆 More Rh points = More $ASTER rew…
#Airdrop10 #PINAI
PIN AI Airdrop sooon 😄
This project "tap to earn" on Telegram 😄
Showing the 12 most recent of 20 posts we hold for @Berachain_airdrops. 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.
Handles this channel named that no longer answer
Dead references
1
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
1
vacant every time we have ever looked
@Berachain_airdrops named 1 handle 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.
@cz_binance named in 3 posts, 8 August 2026 – 13 August 2026
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 28 October 2026 — this
entry's latest reading, not the date you are reading this.
“Bera Airdrop” (@Berachain_airdrops), 8,379 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/Berachain_airdrops.
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.