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Channel

손톱 먹은 쥐

@stablefrom0

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

503subscribers

-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-1001766654019
TypeChannel
Username@stablefrom0
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/stablefrom0

Growth

503504503.57 Aug 2026, 19:35 — 504 subscribers8 Aug 2026, 04:17 — 504 subscribers8 Aug 2026, 09:35 — 503 subscribers7 Aug 2026, 19:358 Aug 2026, 09:35
3 measurements taken within a single day, 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 503–504 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 09:35503-1
8 Aug 2026, 04:17504no change
7 Aug 2026, 19:35504first reading

Engagement

20 posts held, back to 15 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.9%
avg views ÷ 503 subscribers
Avg views / post
110
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 20 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 23 July 2026
Posts held20 (15 June 202623 July 2026)
Views total330
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 04:17 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 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 1reactions 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 15 June 2026 to 23 July 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

23 Jul 2026, 07:38 UTC88 viewsread 8 August 2026
Photo

세로로 탭 표시하는 기능이 크롬에 퍼블릭으로 공개됐습니다. 탭 너무 많이 띄워놔서 선택하기 어려웠던 분들은 적극 활용 ㄱㄱ (탭 우클릭 -> 세로로 탭 표시 선택하면 됩니다)

Signed Astin #

21 Jul 2026, 08:46 UTC124 viewsread 8 August 2026

주주 블로그 시리즈 왜케 재밌나요.. https://app.zuzu.network/contents/blog/30

Signed Astin #

21 Jul 2026, 08:43 UTC118 viewsread 8 August 2026
Forwarded from @chunjonghyun

나는 한 해를 돌아보며 나에게 가장 많은 영향을 끼친 아티클을 선정하는데, 2025년의 자리는 나의 영웅 닐 메타의 인터뷰가 차지할 수 밖에 없었다. 확률을 고민하는 투자자의 삶에서 '정답'을 외치기가 쉽지 않은데, 닐 메타의 생각들은 정답에 가깝다고 느껴졌거든. "역사를 보면 소수의 성장 기업들이 대부분의 가치 창출을 주도해 왔어요." "(그 당시에 그린옥스는 뭐라고 소개하셨나요? 27살짜리 젊은 창업자가 “제가 어떤 걸 할 건지는 아직 몰라도 잘할 테니 믿어주세요”라고 하기엔 무리가 있을 텐데, 구체적으로 어떻게 설득하신 거죠?) 저희는 아주 구체적이었습니다. 실제로 팔란티어, Flipkart, OYO Rooms, 그리고 쿠팡 같은 회사를 미리 조금씩 투자해보고 있었어요. 그걸 예시 삼아 “이런 식으로 기술·인터넷 기반의 고성장 기

Signed Astin #

9 Jul 2026, 08:41 UTC172 viewsread 8 August 2026

재밌는 아이디어.. https://x.com/mad_dogdebt/status/2075100651173077214?s=20

Signed Astin #

3 Jul 2026, 07:32 UTC230 viewsread 8 August 2026

https://hermes-agent.nousresearch.com/docs/user-guide/skills/bundled/autonomous-ai-agents/autonomous-ai-agents-claude-code

Signed Astin #

3 Jul 2026, 05:58 UTC191 viewsread 8 August 2026

요약 • 휴머노이드는 AI가 디지털을 벗어나 물리 세계로 나오는 AI Phase 2의 가장 순수한 적용처. 배터리 값을 하는 두뇌가 로봇에 이제야 생김 • 세상이 이미 두 팔, 열 손가락, 인간 리치 기준으로 설계되어 있어 인간형 폼팩터는 설비 개조 없이 기존 인프라에 바로 투입 가능 • 지금이 진입 시점인 근거 3가지: 부품 공급사 사이클 바닥(secular story를 cyclical price에 사는 기회), 가격 97% 하락, VLA 모델 성숙 • 소비자 로봇의 ChatGPT 모먼트는 10년 뒤가 아니라 3~4년 내 전망(발행 시점 기준) [핵심 논지] - 제목이 곧 테제: "미래의 secular story를 현재의 cyclical price에". 부품 공급사들이 자동차 사이클 최악과 방산 DOGE 공포로 바닥 밸류에이션에 눌

Signed Astin #

3 Jul 2026, 05:22 UTC139 viewsread 8 August 2026

https://www.citriniresearch.com/p/thematic-primer-humanoid-robots

Signed Astin #

3 Jul 2026, 05:11 UTC136 viewsread 8 August 2026

2025 스타트업 실적 정리 핵심 내용 • 감사보고서 기준 2025년 영업이익 상위 30개 비상장 스타트업 선정(설립 10년 이내, 대기업 계열 제외. 단 PE에 인수된 곳은 재매각 가능성 있는 독립기업으로 보고 포함) • 같은 흑자여도 유형이 다름. K뷰티/소비재 브랜드형(10곳), IP/팬덤형(7곳), 플랫폼/거래형(6곳), 운영 효율형(7곳) • 진짜 적자→흑자 전환은 30곳 중 1곳(갤럭시코퍼레이션)뿐. 흑자는 단년 비용절감이 아니라 구조에서 나온다는 게 확인됨 • 좋은 흑자의 정의: 성장을 멈춰 만든 숫자가 아니라 고객이 늘고 반복 매출이 쌓여도 유지되는 흑자. 그래서 이익 규모와 함께 매출 성장, 이익 반복성, 사업 구조를 같이 평가 • 2026년은 수익성과 영업현금흐름을 같이 지키는 회사가 더 선명하게 갈릴 것이라는 전

Signed Astin #

2 Jul 2026, 09:10 UTC119 viewsread 8 August 2026

📊 26년 상반기 VC 투자 트렌드 핵심 1️⃣ "사상 최대"는 착시, 시장이 아니라 메가딜이 컸음 • 글로벌 반기 $560B로 역대 최대인데 $10B 이상 메가딜 빼면 $306B, 전년보다 오히려 33% 감소 • 상위 4개사(OpenAI, Anthropic, xAI, Waymo)가 전체의 45%. Anthropic은 반기에만 두 라운드 돌며 밸류 $380B에서 $965B로 • AI 비중 77%, 미국 비중 74%: 비AI는 자금 가뭄, 사실상 자본의 AI 단일시장화 • 국내도 같은 그림; 반기 7조(+24%), 1,000억 이상 메가딜 2.1조로 역대 최대 • Q1 AI 비중 45%라는데 리벨리온 한 건 빼면 25%, 여기도 메가딜이 지표를 만드는 중 • 시드 투자의 91%가 AI/로봇으로 초기 파이프라인은 이미 전부 AI • 눈에 띄는

Signed Astin #

1 Jul 2026, 05:34 UTC121 views1 reactionsread 8 August 2026

이거는 진짜 잘쓰게되는 것 같아요 - 비개발 Codex 사용자는 개발자 대비 빠르게 성장 - 비개발 인력이 과거 기술 인력의 지원이 필요했던 업무를 Codex를 통해 직접적으로 수행 - 장기 작업 위임 트렌드 가속화. Codex 요청의 1/4는 사람 수행시 1시간 이상 걸리는 작업 - Codex 내 스킬과 플러그인을 활용하는 비중 증가 - 병렬 에이전트 운영 확산. 사람은 감독하며 결과 조율 역할 담당

1

Signed Astin #

1 Jul 2026, 05:34 UTC98 viewsread 8 August 2026
Forwarded from @Samsung_Global_AI_SWPhoto

오픈AI, 에이전틱 AI로의 전환, Codex가 보여주는 증거들 안녕하세요 삼성증권 글로벌 AI/SW 담당 이영진입니다. 오픈AI는 신규 리서치 보고서를 통해 Codex로 대표되는 에이전틱 AI가 지식 노동 단위를 단일 상호작용에서 장기 작업으로 변화시키고 있다고 분석했습니다. 특히 오픈AI 내부 사용자 데이터에서 여러 시사점을 꼽아볼 수 있는데요. AI 활용에 따른 비용, 문화, 사용 경험 측면의 마찰이 낮은 선행 사용자군의 사례로 일반 기업을 그대로 대변한다고 보기는 어렵지만, 도입 마찰이 낮아질 때 나타날 수 있는 업무 방식의 변화 방향성을 확인할 수 있습니다. 이외의 주요 시사점은 다음과 같습니다. - 비개발 Codex 사용자는 개발자 대비 빠르게 성장 - 비개발 인력이 과거 기술 인력의 지원이 필요했던 업무를 Codex

Signed Astin #

30 Jun 2026, 04:48 UTC149 viewsread 8 August 2026
File

DSRV 비상장 애널리스트 리포트(NH 투자증권) 핵심 논지 • 트럼프 2기, 은행 가상자산 규제 완화 기조. 미국은행감독기관인 OCC가 바이든기 도입된 SNO(디지털자산 사전허가제)를 폐지하고 Custody 업무를 명확화(2025.05). 미국 은행들이 디지털자산 수탁 및 스테이블코인 결제+토큰화 자산 관리로 사업 확장 중 • 온체인 금융의 신뢰는 Validator가 담당. 전통금융의 중앙은행 및 코어뱅킹 역할을 블록체인에선 Validator가 대체. 이더리움이 온체인 금융이 가장 활발한 네트워크인 만큼 이더리움 위의 Validator 중요성이 커짐 • DSRV = 글로벌 상위권 이더리움 Validator으로 단순 스테이킹을 넘어 Wallet, Custody, 결제, 스마트컨트랙트로 확장하는 교두보로 평가될 수 있음

Signed Astin #

Showing the 12 most recent of 20 posts we hold for @stablefrom0. 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 — 136,822 of 1,160,990entries 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.

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

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

“손톱 먹은 쥐” (@stablefrom0), 503 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/stablefrom0.

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.