Channel
@goodvibeai
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,674subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002087066341 |
|---|---|
| Type | Channel |
| Username | @goodvibeai |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/goodvibeai |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:47 | 1,674 | -3 |
| 7 Aug 2026, 02:36 | 1,677 | no change |
| 6 Aug 2026, 11:47 | 1,677 | first reading |
6 posts held, back to 6 August 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 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 1 of 6 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 | 6 (6 August 2026 – 7 August 2026) |
| Views total | 483 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 17:45 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.
2 reactions across 1 post, in 1 kind.
| 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 1 of the 6 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 6 August 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.
구글 AI 리더십 대격변 제프 딘·하사비스 이탈 · 2026-08-07 구글 안팎에서 리더십 지각변동 동시다발. 데미스 하사비스의 알파벳 수석과학자 이동, 코레이 카부쿠오글루의 딥마인드 CEO 겸 AI 수석부사장 등극, 27년차 제프 딘의 전격 퇴사·창업까지 겹치며 구글 AI 조직 전체가 재편 국면 진입. AI 인재 유동성이 빅테크 조직 구조 자체를 흔드는 단계로 진입. 자본 흐름은 AI를 넘어 로보틱스·반도체로 확장. 딥시크의 유니트리 IPO 투자는 중국 AI-로봇 융합 전략의 구체적 실행 사례로, 소프트웨어 기업이 하드웨어 생태계에 직접 베팅하는 흐름 부각. AI 경쟁의 무게중심이 모델 성능에서 실물 인프라·로봇 확보로 이동 중임을 시사. 파트너십은 지역·산업 다변화 뚜렷. 엔비디아·노키아·우레두의 인도네시아 1GW 프로젝트와 미스트…
Garry Tan: "Personal AGI Is How You Stay Under Your Own Power" Y Combinator Garry Tan의 주장은 AGI를 기다리는 사람과 자기 맥락 위에 agent를 쌓는 사람 사이의 격차가 이미 벌어지고 있다는 선언이다. • Tan은 AGI를 데이터센터에서 어느 날 등장할 단일 사건이 아니라, 개인의 repo, markdown 파일, terminal, recurring job에 스며드는 personal AGI로 재정의한다. 중요한 점은 모델 성능보다 개인이 소유한 context와 workflow가 차별화 자산이 된다는 주장이다. • YC 사례에서 Winter 25 batch의 4분의 1이 code base의 95%를 AI로 생성했고, Tan 본인도 2013년 대비 coding outpu…
10 Questions Every Founder Should Ask Before Scaling | Tabs, Ali Hussain EO Korea AI 스타트업의 확장은 더 빨리 코딩하는 문제가 아니라, 어떤 업무가 방어 가능한 핵심이고 어떤 업무가 AI 도구로 평준화될지를 가르는 문제다. • Tabs는 finance and accounting의 복잡한 revenue 업무에 AI와 agents를 붙이지만, Ali Hussain이 먼저 강조한 것은 제품보다 6개월 동안 수백 명, 많게는 천 명 가까운 finance professionals를 만나 pain point를 확인한 과정이다. 이는 AI 제품일수록 모델 성능보다 업무 맥락을 얼마나 깊게 장악했는지가 초기 wedge를 만든다는 뜻이다. • 그는 Zip, Ramp, Coupa 같은 f…
하사비스 회장 전임, 제프 딘 창업 이탈 구글 딥마인드 리더십 격변 · 2026-08-06 구글 딥마인드에서 CEO와 수석과학자가 동시에 자리를 비우는 초유의 공백 발생. 데미스 하사비스는 의장직으로 이동하고, 제프 딘은 27년 만에 구글을 완전히 떠나 새 스타트업 Discovery Loop 창업 결행. 산자이 게마왓·오리올 비니얼스·콴 레 등 구글 최상위 연구진의 동반 이탈까지 겹치며 프론티어 AI 인재 지형 재편 가속. 리더십 격변과 동시에 구글은 AI 스타트업 Mechanize를 약 15억 달러에 인수하는 대형 거래 추진. 내부 공백을 외부 인수로 메우려는 이중 행보로 풀이. 메타 역시 앤트로픽·OpenAI를 정조준한 첫 AI 코딩 에이전트를 출시하며 개발자 도구 경쟁 전선 확대. 퍼플렉시티는 아마존과의 AI 에이전트 쇼핑 소송 항…
구글 AI 리더십 대격변 · AI 시대 인재유출 가속!? · 2026-08-06 경영진 세대교체. 데미스 하사비스가 딥마인드 CEO에서 물러나 알파벳 수석과학자·의장으로 이동, AGI 전략과 신약개발 자회사 Isomorphic Labs에 집중. 27년 근속 제프 딘마저 Discovery Loop 창업으로 이탈하며, 구글 AI를 일군 창업 세대의 일선 퇴장. 핵심 인재 유출. 노벨화학상 주역 존 점퍼는 앤트로픽, 트랜스포머 창시자 노암 샤지어는 오픈AI로 이동. AlphaFold 원저자 25% 유출로 팀은 사실상 해체, 경쟁사가 구글의 생명과학·기초연구 역량을 고스란히 흡수. 조직 문화 균열. 수석 엔지니어 수전 장이 사내 정치와 성과 가로채기를 공개 저격, "정작 일은 실무자가 했다"며 리더십 정면 비판. 개편 직후 알파벳 주가 4% 하…
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❤2
Showing the 6 most recent of 6 posts we hold for @goodvibeai. 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 — 356,275 of 1,480,688entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Good Vibe AI” (@goodvibeai), 1,674 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/goodvibeai.
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.