Channel
@cookinglabs
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
16subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002813957476 |
|---|---|
| Type | Channel |
| Username | @cookinglabs |
| Description | 지극히 개인적인 공간입니다 ㅎ |
| Created | Between 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/cookinglabs |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 22:01 | 16 | no change |
| 7 Aug 2026, 22:16 | 16 | first reading |
20 posts held, back to 6 March 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 1 pageof 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 2 May 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 1 video 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.
21 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 61.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 61.9% | |
| 👍 | 4 | 19.0% | |
| 👏 | 1 | 4.76% | |
| 🔥 | 1 | 4.76% | |
| 😁 | 1 | 4.76% | |
| 🥰 | 1 | 4.76% |
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 10 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 21reactions 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 March 2026 to 2 May 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.
오늘 AI 커머스 관련 이벤트에 다녀왔다. 여러 기업들의 피칭을 들었지만, 솔직히 말하면 ‘AI’라는 간판을 단 제품 홍보 행사에 가까웠다. 자사 솔루션을 소개하고, 청중을 잠재 소비자로 묶어두려는 의도가 너무나 노골적으로 드러났다. 더 실망스러웠던 건, 정작 ‘AI’에 대한 깊이 있는 질문에는 제대로 답하지 못한다는 점이다. 자신들이 만든 제품의 셀링 포인트는 외워서 말하지만, 그 기반이 되는 AI 기술 전반, 산업의 흐름, 기술적 한계와 가능성에 대한 논의로 들어가면 침묵하거나 얼버무린다. AI를 ‘한다’는 것과 AI를 ‘이해한다’는 것 사이의 거리는 생각보다 멀었다. 하지만 오늘 가장 충격적이었던 건 기술의 깊이가 아니라 한국의 ‘문화’였다. 행사장에서 가장 양질의 질문을 던진 사람은 한 젊은 참가자였다. 10개가 넘는 질문을 쏟아냈…
❤5
샤오미가 MiMo 오픈 플랫폼 런칭 기념으로 30일간 100조 토큰을 무료로 푼다고 함 🚨 · 기간: 4/28 ~ 5/28 (30일, 재고 소진 시 종료) · 대상: 누구나 · 모델: MiMo V2.5 (추론·멀티모달·음성) · Claude Code, Cursor, OpenClaw 연동 가능 1⃣신청 → 약 3영업일 심사 → 승인되면 토큰 지급 2⃣폼 디테일하게 쓸수록 한도 ↑ 🔗 https://100t.xiaomimimo.com
❤1
[ 속보 ] 유명 Web App Deploy 플랫폼 'Vercel'이 현재 데이터들이 유출 되었다고 합니다. 바이브코딩 하면서 Vercel 에 민감한 데이터 (ex: GPT API, 개인 Env Var..등등) 은 새로 발급 받으시는걸 추천 드립니다. 원본 트윗
😁1
🚀 NVIDIA NIM 무료 대형 모델 활용법 NVIDIA NIM은 NVIDIA가 출시한 AI 추론 마이크로서비스 플랫폼으로, 다양한 대형 모델을 빠르게 배포하고 호출할 수 있습니다.최근 무료 모델 라인업이 대거 추가되었고, 직접 전체 과정을 돌려보고 Hermes Agent 연동까지 가능합니다. ━━━━━━━━━━━━━━━ ▎ STEP 1. 사이트 접속 build.nvidia.com ▎ STEP 2. 계정 가입 이메일 가입 후, 휴대폰 번호로 인증번호 수신 (중국 휴대폰 번호도 수신 가능) ▎ STEP 3. API Key 생성 진입 로그인 → 우측 상단 계정 메뉴 → Generate API Key 클릭 ▎ STEP 4. Key 발급 Key Name 입력 → Generate Key 클릭 · 유효기간 12개월 · 이름은 자유롭게 설정 ▎ …
🚀 DClaw 출시 BNB Chain 기반 AI 에이전트 플랫폼 진정한 AI 에이전트 이코노미가 @BNBChain 위에서 시작됩니다. DClaw로 단 1클릭, 몇 분 만에 나만의 AI 에이전트를 배포하세요. ✅ 별도 API 키 불필요 ✅ GPT-5.4, Claude Opus 4.7 등 모델 자동 라우팅 ✅ 텔레그램 · 위챗 · 딩톡 네이티브 지원 ✅ #BNBChain 네이티브 구축 당신의 AI, 당신의 통제. https://x.com/dgrid_ai/status/2045049628589253013
[ 속보 ] Claude, 전문 디자인 툴 'Claude Design' 공개. 원본 링크
❤1
Claude Opus 4.7을 소개합니다. 지금까지의 가장 강력한 Opus 모델입니다. 이 모델은 장기 실행 작업을 더 엄격하게 처리하며, 지침을 더 정확하게 따르고, 결과를 보고하기 전에 자체 출력을 검증합니다. 감독을 덜 받으면서 가장 어려운 작업을 맡길 수 있습니다. https://x.com/claudeai/status/2044785261393977612/photo/1
👍3
민주당, "지방선거 이후 디지털자산기본법 논의 본격화" 27일 정무위 법안소위 안건상정 '첫 시작' 뉴스 #국내
👏1
Decibel MCP — 핵심 기능 AI 에이전트가 DEX에서 직접 트레이딩. 25개 툴. 주문 실행 - 지정가 / 시장가 / 스탑 지정가 / 스탑 시장가 - TWAP — 분할 실행 (2분~24시간) 리스크 관리 - TP/SL 설정 및 취소 - 포지션 부분/전체 청산 - 레버리지 1~100x, cross/isolated 전환 조회 - 잔고, 포지션, 주문, 체결 내역 - 펀딩비 내역, 호가창, 현재가 Claude에 직접 연결 가능 - @decibeltrade/cli 설치 하나로 MCP 서버 세팅 끝 - Claude Code / Claude Desktop 둘 다 지원 출처 : https://x.com/DecibelTrade/status/2044128568767136049
❤1
이준석 반도체 선물시장 블록체인 해법 제안. 출처 : 표준화 반도체 실물 선물 상품화 : 스테이블코인 결합 신금융 시장 : 화성 동탄 거점 지역 산업 전략 #블록체인 #반도체
AI 트레이딩 에이전트 대회 1등하고있는거 맞나요? ㅎㅎ
🥰1
🎉🎉🎉 JEFF 1등!!! ─── | 항목 | JEFF | | ---------- | --------------- | | 순위 | #1 🏆 | | 지갑 | 0x9Afa...d5A2 ✅ | | 볼륨 | $9,338.22 | | Trades | 181회 | | EST. Prize | $1,500.00 💰 | ─── 💰 Prize 예상 금액 $1,500 상당의 리워드!! 이건 볼륨 순위 1등 보상으로 추정돼요! ─── 📊 의미 • ✅ $10K volume → Top 100 ✅ • ✅ #1 달성!! → Prize $1,500!! • ✅ $9,338 volume 인정됨 • ✅ 181회 trade 기록…
❤3👍1🔥1
Showing the 12 most recent of 20 posts we hold for @cookinglabs. 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 — 696,358 of 1,169,250entries 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.
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.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Jeff’s 쿠킹랩스 🐆” (@cookinglabs), 16 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/cookinglabs.
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.