@tldwfastbot x post 알람 받아볼 때 번역 옵션 opt-in하면 이제 grok 번역본으로 받아볼 수 있게 해놓음. x가 압도적으로 빈도가 많다보니 곧 유튜브/블로그 요약과 x봇 분리 예정

Channel
Nutty flavors — AI, On-chain, Stocks
@nuttyflavors
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,219subscribers
-18 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002178541609 |
|---|---|
| Type | Channel |
| Username | @nuttyflavors |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/nuttyflavors |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 01:24 | 2,219 | -10 |
| 9 Aug 2026, 16:02 | 2,229 | -3 |
| 6 Aug 2026, 20:20 | 2,232 | -5 |
| 6 Aug 2026, 06:03 | 2,237 | no change |
| 6 Aug 2026, 04:18 | 2,237 | first reading |
Engagement
19 posts held, back to 30 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 83.7%
- avg views ÷ 2,219 subscribers
- Avg views / post
- 1,860
- 19 posts measured
- Reaction rate
- 0.098%
- reactions ÷ views · ER floor
- Posts in window
- 19
- of 19 held
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. It is computed over the 9 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 19 (30 July 2026 – 7 August 2026) |
| Views total | 35,272 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:49 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.
Reaction mix
22 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 77.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17 | 77.3% | |
| 👎 | 2 | 9.09% | |
| 🤡 | 2 | 9.09% | |
| 👍 | 1 | 4.55% |
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 9 of the 19 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 26reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 30 July 2026 to 7 August 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.
Recent posts
정말 도움을 요청드리고 싶어 이렇게 올립니다. 정말 무거운 마음으로 이 글을 올리게됩니다. 저희 아버지는 대형회사에서 IT담당 임원으로 계십니다. 메모리가격 인상에 따라 계약을 재체결하는 과정에서 높은가격으로 재 계약을 진행하는 과정에서 제대로 이전 계약 마무리가 제대로 되지 못하고 진행이됨과 함께 최종 결재자가 되시면서 감사에서 계속해서 회사에 수백억에 가까운 손해를 입혔다고 압박을 받으시는것 같습니다. 결론이 나지 않았지만 수백억을 추징을 당할 수 있다는 압박감에… 좋지못한 선택을 시도하셨습니다. 혹시 이와관련하여 상담을 할 수 있거나 관련 전문가를 알고 계신분이 있다면 지나치치지마시고 한번만이라도 조언을 주시면 너무나도 감사하겠습니다. 제가 지금 당장 못하더라도 꼭 평생에 걸쳐서라도 보은하겠습니다 @netdebtzer0 로 연…
👎2
https://blog.naver.com/sksmsjh1212/224366059287
구글의 하사비스 조직이동 뉴스 단순히 Deepmind ceo => alphabet chief scientist 이동인가 했는데 자세히 보니, Lastly 라며 마지막 문단에 스윽 껴넣고 흘리려던게 핵심인 듯 "Chief Scientist인 Jeff Dean이 Sanjay Ghemawat,Oriol Vinyals, Quoc Le까지 데리고 나가서 Discovery loop 창립한다더라 " Discovery loop 흔히 아는 그 loop engineering을 과학발전에서 돌리는거. AI로 연구 설계부터 실험/검증까지 무한루프로 발전. google ai 내부에서도 Co-Scientist라며 추진하던 사업이었는데 들고 나감. Google Brain 계열 원로 그룹 전체가 사라짐. Gemini 만들던 핵심 인물들이라서, 하고싶은거 구글 내에서…
❤1
https://cloudflare.pay/ 클라우드플레어가 방금 클라우드플레어 월렛을 발표하면서 [출처] 지갑 핸들 예약을 받고있네요. 저는 Jun 먹었습니다
돈 버는데는 하나도 도움 안되지만 이해에는 도움이 될 수 있는 글 공부하면서 하나 더 써봄ㅎ https://nutty.blog/posts/stock-study-2
orca가 좀 많이 무겁긴 해서 이런저런 대안 AI-native 터미널들도 많이 나오는 중 젤 좋은건 자기가 직접 커스텀으로 만든거이긴 하지만 그런 토큰과 시간 아까운 짓은 대부분 사람들에게는 부적합하니 여러개 써보며 맞는거 찾아서 쓰면 좋을 듯 https://terax.app/
❤1
😒 Effective Altruism again? 1월에도 한번 Anthropic과 EA 연관썰 돌다가 잠잠해졌는데 이번에 레오폴드로 인해 다시 떠오르는 관계. Anthropic은 Effective Altruism 그 자체 - 아모데이 본인도 EA연관 블로그 기고/서약도했고 사상도 비슷 - 동생 Daniel Amodei는 아예 EA 핵심인물이자 givewell cofounder와 결혼 - Chief of Staff인 Avital도 레오와 함께 FTX Future Fund에서 일했으며, EA를 형성한 Future of Humanity Institute 출신 - FTX가 초기 대규모 투자 - 공동창업자 Ben Mann도 19년 EA 공개선언 - Claude 성격/가치관 담당 Amanda도 서약자 - LTBT라는 anthropic 독립 거버넌…
🤡2
돌찬배 'SA'를 읽다가 글이 어렵게 느껴지길래 반성하며 공부해 봄 결국 개별 주식 소식, 장세를 따라가는 것도 중요한데 구조적 원리를 모르면 개인 지갑/거래소입출/김프/선물-마진-헷징 등을 하나도 모르고 업비트에서 그때그때 핫한 신규 상장 코인만 매수하는 것과 다름없지 않나 하는 SA 😅 이론편 다룬 개념 - 홍콩 CSOP-7709/3537 - 숏감마/롱감마? - IV, Long call, Pinning effect - Gamma profile, Skew, IV surfact - 홍콩 상품이 국장에 미치는 영향 https://nutty.blog/posts/stock-study-1 주식 관심 있는데, 정말 관심만 있어서 잘 모르던 초보자한테는 도움 될거고 쌉고수들에겐 당연하던 기초일 듯
❤11
🍯 Marscoin 등 flap류 토큰들 Tax 안내고 거래하는 팁 마인부우님 이 글 보고 좀 더 자세히 말해보면 1. LP add/remove에는 tax가 안 붙나? - 붙음. add할때 eth로만 넣으면 안붙긴하는데 결국 팔려고 remove할때 mars 이동하면서 뗌 - 팔때도 마찬가지로 mars 단일 limit으로 add할때는 붙음. 그냥 mars가 이동하면 붙는거. 2. TAX는 어떻게 부과되나? - 일단 Tax는 약 한달인 8/26일까지만 아래 4개 풀에 부과되고 그 이후에는 main SPCXB풀에만 부과. - 부과 대상은 Pancake v2 MARS/SPCXB, MARS/WBNB UniswapV2 MARS/WBNB Uniswap v4 이렇게 네 풀밖에 없음. Mars로 과세되고, 배당은 MARS 홀더들에게 되는건데 좀 잘못…
❤3
진짜 하이닉스 상한가 잠김 5만주 정도 역사적인날
상장 다 끝났으니 viewer 0되면 오늘 내리려 했는데 갑자기 빗썸으로 수명 연장 일단 빗썸 핫/콜드 추정 월렛도 잡아놨으니 참전하실분 참고 https://nutty.blog/apps/grvt
👍1
Showing the 12 most recent of 19 posts we hold for @nuttyflavors. 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 — 52,119 of 1,189,255entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@jasonyeah_agents · 3,2192 posts쿠즈코 멘징방
@nananaa_kuzco · 1,5272 posts바밀이야 bamilirya
@Bananamilkrich · 8,9451 post아는만큼 보인다
@blockschool · 4691 post구라비티는 해명하라
@BTChunter7 · 1511 post3회차 230만불->0원부터 다시 시작하기..
@crypty2017 · 8421 post꿀통창고
@DrRaAl0tTtEzZDM9 · 3771 postEWL's doomscroll
@ewlreads · 4,4091 post영서의 일기장
@hedwigdiary · 2301 post숙제를 합시다
@homeworkgogo · 6,9831 postHybiscus Original 🌺
@hybiscusxyz · 4791 post특이점이 온다
@kkda8282 · 1,2521 postKORypto's Announce
@KORypto_Announce · 7,4091 post코접렉카충
@legendmooch · 1671 post기분좋은 마곤
@magonia_b · 27,2921 postPAIGU - Pagu's AI Diary
@paigudiary · 551 post갓삼 노트
@realgotsam_note · 291 post이것저것 다하는 방
@web3_laborer · 6,7671 postBella's Learning Hub
@wenbellalearnsch · 7521 post
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.
Mentions
Named by 7 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Nutty flavors — AI, On-chain, Stocks” (@nuttyflavors), 2,219 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/nuttyflavors.
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.