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Channel

AG RESEARCH

@AGresearch

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

89subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001761282914
TypeChannel
Username@AGresearch
CreatedBetween 1 December 2021 and 6 April 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live8 September 2026
Measurements held3
Confirmed unchanged3 times, most recently 8 September 2026
On Telegramt.me/AGresearch

Growth

899089.57 August 2026 — 90 subscribers9 August 2026 — 90 subscribers21 August 2026 — 89 subscribers7 August 202621 August 2026
3 measurements spanning 15 days, net -1. 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 89–90 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 17:0589-1
9 Aug 2026, 14:1890no change
7 Aug 2026, 04:0690first reading

Engagement

20 posts held, back to 6 April 2022the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 24 December 2022. An engagement rate over an empty window would be a number about nothing.

Reaction mix

55 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 65.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3665.5%
👏1018.2%
🤯712.7%
23.64%

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 17 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 55 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 6 April 2022 to 24 December 2022, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

24 Dec 2022, 16:51 UTC338 views6 reactionsread 9 August 2026

네이버 지식인에는 구입한 제품의 진품 여부를 묻는 글이 하루에 100개 이상씩 꾸준히 올라오고, 고미술품 감정 프로그램인 ‘TV쇼 진품명품’은 약 28년째 방영 중이다. 이만큼 사람들은 본인이 갖고있는 물건의 진품 여부를 의심하고 확인 받고자하는 욕구가 크다는 것을 알 수 있다. 블록체인을 통한 진품 검증이라는 가치만으로도 why blockchain에 대한 설득력이 꽤 크다 생각했고, Aura blockchain consortium와 Azuki의 사례를 먼저 알아봤다. https://blog.naver.com/whing90/222964885443

👍6

10 Sept 2022, 01:49 UTC460 views5 reactionsread 9 August 2026

https://members.delphidigital.io/reports/finding-a-home-for-labs?utm_campaign=Delphi%20Daily&utm_medium=email&_hsmi=2&_hsenc=p2ANqtz-9mQB1fkQoFKe32MpyRwTK6E01omkSxu9wes_vlb4_9vK8Iz_LYVGjoLV0hFWa-EZkhqn0qDX1kNqplGKaFzcnwu8ECxw&utm_content=2&utm_source=hs_email : Delphi Digital은 Web3에 많은 투자를 하는 미국의 vc로 단순히 투자집행을 하는 것만이 아니라 dApp을 직접 설계하고 서비스하는 것으로도 유명해요. 지금은 웹3 게임 토크노믹스의 표준(?)이 된 Dual tokenomics (AXS <> SLP, GMT <> GST

👍5

3 Sept 2022, 09:08 UTC338 views2 reactionsread 9 August 2026

Paradigm이 제시한 독특한 토큰 세일 방식 Variable Gradual Dutch Auctions (VRGDAs) 알아보기 https://knowledgeisfree.tistory.com/182

2

16 Jul 2022, 00:40 UTC413 viewsread 9 August 2026
Photo

제 지인분께서 솔라나에서 진행하시는 Web3 뮤직 프로젝트가 베타 서비스를 런칭하여 소개드리고자 채널에 소개글 남깁니다! [ATIV 소개글] 안녕하세요, SOLANA 네트워크 위에서 WEB3.0 음악 인프라를 만들어 가는 팀 ATIV 입니다. 작년 9월 SOLANA Ignition Hackathon을 기점으로 약 1년간 프로젝트를 준비하여 이번에 베타 서비스를 런칭하게 되었습니다. 이번 런칭은 포미닛 전지윤님이 속해있는 그룹 PRSNT의 신곡 “SUMMER VACATION”의 발매에 맞춰 해당 곡의 NFT 드랍과 함께 시작합니다. 많은 관심 부탁드립니다! Official Link : https://ativ.studio Official Docs : https://ativ.gitbook.io/ativ/ Youtube Link : https:

13 Jul 2022, 12:40 UTC≈1,170 views4 reactionsread 9 August 2026

오랜만의 크립토 뉴스, 게임파이 펀딩 규모, 그리고 신규 레이어1 앱토스 (APTOS) 와 수이 (Sui Network) 소개 https://knowledgeisfree.tistory.com/175

👍4

2 Jun 2022, 15:22 UTC973 views1 reactionsread 9 August 2026

https://m.blog.naver.com/whing90/222757193498

👍1

26 May 2022, 13:46 UTC646 views8 reactionsread 9 August 2026

https://m.blog.naver.com/whing90/222748034041

👏8

24 May 2022, 13:45 UTC307 views2 reactionsread 9 August 2026

Ib토큰의 표준, ERC-4626 알아보기 https://knowledgeisfree.tistory.com/174

👍2

24 May 2022, 12:21 UTC295 views1 reactionsread 9 August 2026

[페이퍼 요약] Weyl, Eric Glen and Ohlhaver, Puja and Buterin, Vitalik, Decentralized Society: Finding Web3's Soul (May 10, 2022). Available at SSRN: https://ssrn.com/abstract=4105763 Web3 의 미래는 Soulbound Tokens (SBTs) -> Having real on-chain credentials is key in Web3. SBT 는 수령 후 교환 불가능 (non-transferrable) 한 NFT 로, soul wallet 에 저장됨 -> 이름 그대로 귀속이 되는 토큰입니다! 교환이 불가능한 NFT 가 무슨 utility 가 있나? 1. 대학교 학위, 주민등록증, 면허증 등의 degre

👍1

13 May 2022, 17:28 UTC325 views3 reactionsread 9 August 2026

테라 후기 https://knowledgeisfree.tistory.com/173

👍3

13 May 2022, 00:27 UTC221 viewsread 9 August 2026

https://m.blog.naver.com/ryogan/222730383872 고로치님 글입니다 크립토판에서 밸류가 애드되는 부분은 커뮤니티라고 생각합니다 하지만 이 커뮤니티라는건 정말 친밀감과 진정한 무언가로 이루어졋다기보다는 정말 수익 그 자체로 이루어졌다는 생각은 듭니다 하지만 수익이 사라지고 고통이 시작되면 대부분 떠납니다 사실 저 조차 그만 둘 생각이 오늘도 떠오르는군요 이번 하락에 제가 실패를 인정하고 용서를 구했지만 몇몇 ​사람들은 그게 오히려 약한 모습보이는거라고 생각해서 위로의 탈을쓰고 “내가 니 그럴줄 알았다” 같은 비아냥이 오가더군요 흔들리던 마음을 다시 잡게 해주셔서 고맙습니다 뭐라고 해서 살아남겠습니다 코인이던 주식이던 어떻게든 기회를 찾고 또 망해서 이새끼 언제 망하나라는 기대를 꼭 부흥하겠습니다 니체

Showing the 12 most recent of 20 posts we hold for @AGresearch. 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.

Mentions

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.

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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“AG RESEARCH” (@AGresearch), 89 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/AGresearch.

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.