Crypto & trading — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Growth
14 measurements spanning 51 days, net -64. 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 2,118–2,202 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Sept 2026, 17:02
2,128
-12
17 Sept 2026, 09:56
2,140
-4
13 Sept 2026, 01:58
2,144
-3
8 Sept 2026, 20:18
2,147
-8
3 Sept 2026, 11:37
2,155
-6
31 Aug 2026, 11:02
2,161
-2
25 Aug 2026, 10:18
2,163
-8
22 Aug 2026, 07:56
2,171
-1
19 Aug 2026, 03:59
2,172
-3
16 Aug 2026, 14:05
2,175
-4
12 Aug 2026, 22:28
2,179
-5
10 Aug 2026, 06:00
2,184
-8
7 Aug 2026, 01:00
2,192
no change
7 Aug 2026, 00:48
2,192
first reading
Engagement
20 posts held, back to 8 November 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 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 16 December 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
166 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 26.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
44
26.5%
⚡
22
13.3%
🔥
22
13.3%
❤🔥
21
12.7%
👀
19
11.4%
🐳
13
7.83%
👍
10
6.02%
🤬
9
5.42%
🍾
4
2.41%
🤣
1
0.602%
🥱
1
0.602%
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 166 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 8 November 2024 to 16 December 2024, 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
55
across the posts below
Posts paid on
2
of 20 we hold a reading for · 10%
Most on one post
53
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @a2finance. 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 20 most recent posts we hold for this entry, published 8 November 2024 to 16 December 2024. 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.
Fuel Network Token Sale Announced on Impossible Finance
Fuel Network, a high-performance Ethereum Layer 2 powered by the FuelVM, has announced its $FUEL Genesis token sale on Impossible Finance. Eligible participants can purchase $FUEL at an 80% discount from the last private sale price.
What to do:
- read details
- complete KYC on Impossible Finance
- take a part in Token Sale
A2 Finance | Twitter | Telegram | W…
Sophon announced the launch of the mainnet
Sophon is enhancing the entertainment landscape with its modular Layer 2 solution, designed around the zkSync hyperchain and powered by the innovative ZK Stack.
Details:
- mainnet will be launched Dec 18th, 2024
- wait for announcements
A2 Finance | Twitter | Telegram | Website
Oriole Insights released POLLs Prediction Markets
Oriole Insights is a gamified prediction platform where users forecast asset trends and event outcomes.
What to do:
- go to website
- vote
- perform Galxe quests
- wait for announcements
A2 Finance | Twitter | Telegram | Website
Namada announced the launch of the mainnet
Namada is a data-protection blockchain using zero-knowledge proof technology. Namada's cryptographical features give users asset-agnostic, multichain data protection, and is being built by the Anoma foundation.
Details:
- mainnet will be launched Dec 3rd, 2024
- wait for announcements
A2 Finance | Twitter | Telegram | Website
Movement announced a drop-in registration
Movement is the first Move-EVM L2 on Ethereum, combining the speed of the MoveVM's 30k+ TPS with bytecode-compatability for EVM applications.
What to do:
- register your wallets here
- wait for announcements
A2 Finance | Twitter | Telegram | Website
WalletConnect opened Airdrop claim page
WalletConnect is the onchain UX ecosystem that makes web3 work by facilitating users use of any wallet across any app and platform.
What to do:
- claim airdrop here
- wait for announcements
A2 Finance | Twitter | Telegram | Website
Movement announced a tokenomics
Movement is the first Move-EVM L2 on Ethereum, combining the speed of the MoveVM's 30k+ TPS with bytecode-compatability for EVM applications.
Details:
- total supply 10,000,000,000 MOVE
- initial circulating supply: 2,200,000,000 MOVE
- airdrop: 1,000,000,000 MOVE
A2 Finance | Twitter | Telegram | Website
Mitosis announced the Gamified Testnet
Mitosis is a Liquidity Collective that redefines on-chain liquidity procurement and trading.
What to do:
- read details
- earn points here
A2 Finance | Twitter | Telegram | Website
Henez Finance will conduct a Public Sale
Henez Finance is a modular network tailored for OmniDapps.The vision for Henez is to be a permissionless liquidity layer for all chains.
Details:
- sale will be started here today at 2:00 PM (UTC)
A2 Finance | Twitter | Telegram | Website
Bitfinity completed $12M Undisclosed Round
Bitfinity is a blazingly-fast (1000 TPS+), next-generation EVM, serving as a Layer Two for Bitcoin and other Bitcoin on-chain assets.
Activities:
- quests
A2 Finance | Twitter | Telegram | Website
Caldera introduced the Caldera Foundation
Caldera is a collective of interconnected, high-performance Ethereum rollups, unified by the Metalayer, an all-purpose connectivity layer that aims to connect user and developer experiences across isolated rollups.
What to do:
- read details
A2 Finance | Twitter | Telegram | Website
⚡6❤4🍾4
Showing the 12 most recent of 20 posts we hold for @a2finance. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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.
Crypto Fundraising (StandWithUkraine 🇺🇦) @crypto_fundraising · 28,062 Telegram ranks this channel #13 of 84 here — alongside 83 others — read 10 September 2026
ICO Analytics (StandWithUkraine 🇺🇦) @ico_analytic · 56,869 Telegram ranks this channel #40 of 96 here — alongside 95 others — read 23 August 2026
Airdrop Official 🍥 @airdropofficial7 · 26,689 Telegram ranks this channel #43 of 92 here — alongside 91 others — read 11 September 2026
CoinList Official @coinlistofficialchannel · 38,575 Telegram ranks this channel #43 of 89 here — alongside 88 others — read 31 August 2026
CryptoDiffer News @cryptodiffer · 23,554 Telegram ranks this channel #53 of 89 here — alongside 88 others — read 18 September 2026
ICO Drops - ICO News & Alerts @icodrops · 42,698 Telegram ranks this channel #72 of 87 here — alongside 86 others — read 28 August 2026
This channel appears in 6 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“A2 Finance - Activities & Updates” (@a2finance), 2,128 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/a2finance.
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.