AI 자동화로 SNS 키우는 꿀팁 AI로 SNS를 운영하는 것도 결국 꾸준함이 필요하고, 누구나 만들 수 있는 콘텐츠라면 그 안에 플러스알파가 있어야 함. 이 과정에서 그 ‘알파’를 어디서 찾을 수 있는지 힌트를 얻을 수 있음. 감자님이 진짜 잘 알려주시니까 참고! ✅감자님 X 계정
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Channel
@Kooncrypto
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
12,401subscribers
-5,607 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001517482685 |
|---|---|
| Type | Channel |
| Username | @Kooncrypto |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/Kooncrypto |
Marketing & affiliate — 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 59% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 17:59 | 12,401 | -40 |
| 19 Sept 2026, 16:17 | 12,441 | +195 |
| 17 Sept 2026, 07:17 | 12,246 | +126 |
| 15 Sept 2026, 07:39 | 12,120 | +12 |
| 13 Sept 2026, 13:38 | 12,108 | -31 |
| 11 Sept 2026, 21:41 | 12,139 | -42 |
| 9 Sept 2026, 13:00 | 12,181 | -54 |
| 6 Sept 2026, 07:36 | 12,235 | -43 |
| 3 Sept 2026, 23:38 | 12,278 | -838 |
| 2 Sept 2026, 16:46 | 13,116 | +792 |
| 1 Sept 2026, 19:05 | 12,324 | -38 |
| 31 Aug 2026, 15:47 | 12,362 | -34 |
| 30 Aug 2026, 18:27 | 12,396 | +404 |
| 29 Aug 2026, 17:12 | 11,992 | -26 |
| 28 Aug 2026, 19:26 | 12,018 | -224 |
| 27 Aug 2026, 21:37 | 12,242 | -159 |
| 26 Aug 2026, 23:35 | 12,401 | +327 |
| 26 Aug 2026, 00:54 | 12,074 | -19 |
| 25 Aug 2026, 00:29 | 12,093 | -69 |
| 23 Aug 2026, 12:59 | 12,162 | first reading |
40 posts held, back to 25 July 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 52 pages of 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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 40 (25 July 2026 – 2 September 2026) |
| Views total | 5,569 |
| Reactions total | 75 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:39 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 3 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.
532 reactions across 40 posts, in 9 distinct kinds. The most used accounts for 47.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 254 | 47.7% | |
| 👍 | 150 | 28.2% | |
| 🔥 | 75 | 14.1% | |
| 😭 | 23 | 4.32% | |
| 🫡 | 16 | 3.01% | |
| 👏 | 6 | 1.13% | |
| 🤯 | 4 | 0.752% | |
| 🙏 | 3 | 0.564% | |
| 😴 | 1 | 0.188% |
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 40 of the 40 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 532 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 25 July 2026 to 2 September 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.
AI 자동화로 SNS 키우는 꿀팁 AI로 SNS를 운영하는 것도 결국 꾸준함이 필요하고, 누구나 만들 수 있는 콘텐츠라면 그 안에 플러스알파가 있어야 함. 이 과정에서 그 ‘알파’를 어디서 찾을 수 있는지 힌트를 얻을 수 있음. 감자님이 진짜 잘 알려주시니까 참고! ✅감자님 X 계정
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이번 X 주급 중에 눈에 띄는 분들 ㄷㄷ 특히 빚갚는미친개님은 성장속도가 진짜 대단함 부업같은 걸로 월400~500만원 만드는 스토리를 보여주는 느낌?
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7억을 잃었습니다. 잃은 기념으로 펏지를 대신해서 기부(어웨이) 진행합니다. 상품 총 $1,000 USDC ($50 × 20명) 참여 방법 구글 폼 작성 https://x.com/eth_apple/status/2094722705664979002 (이분 좀 혼내주세요)
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✅ 8월 크립토 해킹·익스플로잇 정리 SURF로 한 번에 확인하는 이번 달 주요 보안 사고 ✅주요 사고 • 8/01 Taiko: 미검증 컨트랙트 취약점으로 16.6 WETH 유출 • 8/23 Term Finance: 거버넌스 탈취로 약 $8.5M 손실 • 8/25 Realio: 서명키 탈취로 127.9M RIO, 약 $6.2M 유출 • 8/25 Coldcard: 시드 생성 취약점으로 약 $88.6M~$114.7M 손실 추정 • 8/26 Enjin Coin: NFT 플랫폼 익스플로잇으로 $142K와 5.24M ENJ 유출 • 8/27 Moonwell: MAMO 가격 조작 공격으로 약 $8.7M~$9M 이상 손실 • 8/28 The Sandbox: 브리지 익스플로잇으로 약 14.74M SAND 유출 • 8/28 Avici: Solana 카드 컨…
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이제야 올리는 업비트 자금 출처 소명자료 짤막 제출후기 - 트윗 올리고 4.7만뷰가 나와서 놀램 - 걍 처음부터 pdf 파일로 모으기 - 소명자료 한번에 파일 10개만 업로드 가능함 - 컨버트는 입출금내역, 매매내역에 안떠서 찾기 힘듬 - 글 올리고 보니 생각보다 바낸, 케뱅, 빗썸 다양하게 정지되신 분들이 많았음 - 걸린 분들 중에 따발총 입출금 하신 분들이 많이 걸림 ( 저도 동일) - 케이뱅크는 폰으로만 입출금내역 내보내기 댐 - 분기마다 받아두는 습관을 가지자...!! - 입출금 시 memo 적어두는 습관을 가지자!!
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로빈후드 펭구 등장 👀 아닛 영상도 왤케 귀여운건데... https://x.com/pudgypenguins/status/2093028730268532765
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📌 슈퍼워크, GIWA GASOK Phase 3 선정 Move-to-Earn 붐이었을 때 자주 보이던 SuperWalk가 이번에 업비트 GIWA가 운영하는 액셀러레이터 프로그램 GASOK Phase 3에 선정됐다고 합니다. 📰현재 운영 현황 • GIWA에서 하루 10,000건 이상의 실제 사용자 트랜잭션 발생 • 프로토타입이 아닌 실제 운영 중인 제품으로 지원 • GPS와 걸음 수를 검증한 뒤 온체인에 기록 • 첫 스폰서 마라톤은 2026년 3분기 예정 ➡️온체인 마라톤 • 장소 제한 없이 어디서든 같은 대회 참가 가능 • 3km·5km·10km 리그 운영 • 결과에 따라 스마트컨트랙트로 상금 지급 • 완주 시 GPS 경로가 담긴 NFT 메달 발행 • 개인정보는 오프체인에 유지하고 검증을 통과한 데이터만 GIWA에 기록 ↔️향후 계획 …
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📌 전 암호화폐 거래소 직원이 밝힌 중소형 거래소 운영 실태 WebSea, JuCoin, CoinUP에서 근무했던 전 직원 Dougao가 WuBlockchain 인터뷰를 통해 일부 중소형 거래소의 운영 방식과 출금 구조에 대해 증언했습니다. 아래 내용은 내부자 주장에 기반한 내용입니다. 📰거래소 운영 구조 • 플랫폼 토큰 상승, 고수익 상품, 할인 토큰 판매, 카피트레이딩 등을 활용해 유저 자금 유입 • 일반 유저보다 직원·에이전트 등 내부 관계자의 출금이 상대적으로 수월했던 사례 언급 • 입금액을 초과하는 수익 출금 시 제한되거나 수익금이 차감되는 사례도 존재 • 다단계 형태의 에이전트 구조를 통해 신규 유저와 자금을 지속적으로 유치 1. WebSea • 2024년 출금 위기 당시 일반 유저의 출금이 막힌 상황에서 직원들에게는 먼저 출…
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📌KBW2026, 조셉 루빈 합류 및 메인 스폰서 공개 이더리움 공동창립자이자 Consensys CEO 조셉 루빈이 ‘KBW2026 with Upbit’ 메인 컨퍼런스 연사로 합류했습니다. 한국 방문은 2019년 이후 7년 만입니다. 🗓 KBW2026 메인 컨퍼런스 행사 일정 • 일정: 9월 30일(수) ~ 10월 1일(목) • 장소: 서울 워커힐 호텔 • 메인 스폰서: Upbit, 0G, Stable, Tria ➡️주요 연사 • Charles Jansen: S&P Global DeFi Transformation 총괄 • Patrick Witt: 백악관 대통령 디지털자산 자문위원회 사무국장 • Bo Hines: Tether USA₮ CEO • Jeff Yan: Hyperliquid 공동창립자 겸 CEO • Yuval Rooz: Digit…
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X보는데 온 세상이 펭구로구나🐧 지금 막 X들어가서 보는데 제 타임라인은 펭구가 점령했네요 누가 펭구를 올렸나 찾아보니- 메타마스크 - Phase - 월스트릿벳(WallStreetBets) - VanEck - 코인게코 - 빗컵(태국 거래소 빗썸 아님) 꽤나 많은데 개인적으로 솔라나에서 올린 펭구가 좀 간지나고 코인게코 펭구도 귀여운 듯
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📌크립토 카드 결제액 $10억 돌파 크립토 카드 결제 규모는 1년 만에 3배 이상 증가했으며, 전체 결제액의 70% 이상이 USDC와 USDT로 이루어짐 📰내용 • 7월 크립토 카드 결제액 $10.4억 기록, 1년 전 대비 3배 이상 증가 • 추적된 거래 건수는 1,000만 건 이상 • USDC·USDT가 전체 결제액의 70% 이상 차지 • 건당 평균 결제액도 전년 $59 → $86로 증가 ➡️스테이블코인 비중 • USDC: 전체 결제액의 50.8% • USDT: 20.3% • 스테이블코인이 단순 송금·가치 저장을 넘어 실제 소비 수단으로 확대되는 모습 • 식료품, 배달, 차량 호출, 레스토랑, 온라인 구독 등 일상 결제 비중 증가 ↔️시장 현황 • Visa는 전 세계에서 160개 이상의 스테이블코인 연계 카드 프로그램을 운영하거나 개…
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모아카드샵 방문기 kakawow 팩 dyli로 사려던 중에 모아샵에서 10만원 이상 구매 시 한팩 증정 이벤트가 있어서 다녀왔습니다. 카드는 팩당 5개 들어있고, 카드 퀄리티 진짜 좋아요! 포켓몬, 원피스, 유희왕 그런 것들이랑 두께가 차원이 다름 한개 까니까 여러개 더 받고 싶어서 문의해보니 판매용으로 입고 준비 중이라고 하네요. 모아샵 귀엽게 잘 꾸며놓으셨음!! 영상촬영도 편하게 할 수 있게 영상 거치대도 책상에 준비해주셔서 촬영 편하고, 카드 종류별로 구경하는 재미가 있었습니다!
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Showing the 12 most recent of 40 posts we hold for @Kooncrypto. 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.
@Kooncrypto edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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 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.
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.
“크립토하는 라쿤” (@Kooncrypto), 12,401 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/Kooncrypto.
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.