Posted without readable text

Channel
AI_Innovation_Studio
@aiinnovationstudio
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,964subscribers
+54 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003714344818 |
|---|---|
| Type | Channel |
| Username | @aiinnovationstudio |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/aiinnovationstudio |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 00:13 | 1,964 | +18 |
| 11 Aug 2026, 07:41 | 1,946 | +28 |
| 8 Aug 2026, 15:08 | 1,918 | +8 |
| 7 Aug 2026, 20:46 | 1,910 | no change |
| 7 Aug 2026, 19:38 | 1,910 | first reading |
Engagement
18 posts held, back to 7 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.40%
- avg views ÷ 1,964 subscribers
- Avg views / post
- 66.8
- 17 posts measured
- Reaction rate
- 2.44%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 18 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 2 of 17 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 | 18 (7 August 2026 – 7 August 2026) |
| Views total | 1,135 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 20:46 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.
What this channel posts
- Video runtime
- 1m 09s
- Average length
- 35s
Measured directly from 2 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.
Reaction mix
3 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 66.7% | |
| 💩 | 1 | 33.3% |
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 2 of the 18 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 7 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.
Recent posts
AI 코딩 프로젝트, 대화보다 PROJECT_STATUS.md를 남기세요 Codex 5.6으로 장기간 프로젝트를 진행해 보면 대화가 길어질수록 오히려 작업 효율이 떨어지는 경우가 있습니다. 이미 해결된 오류, 폐기한 설계, 오래된 코드와 로그까지 컨텍스트에 계속 남기 때문입니다. AI가 이를 다시 검토하면서 불필요한 토큰을 사용하거나, 이미 실패했던 방법을 다시 제안하는 상황도 발생합니다. 제가 사용해 본 방법 중 효과적인 방식은 개발 단계가 끝날 때 PROJECT_STATUS.md를 만들어 현재 상태만 압축해서 남기는 것입니다. 문서에는 다음 정도만 정리하면 충분합니다. * 현재 프로젝트 목표 * 완료된 작업 * 주요 기술적 결정 * 변경된 핵심 파일 * 테스트 및 검증 결과 * 알려진 문제 * 시도했지만 실패한 방법 * 다음 작업…
💩1
ClaudeSettings - Claude Code, Codex, Cursor, Gemini CLI 등 AI 코딩 도구를 위한 설정과 워크플로우를 모아둔 오픈소스 저장소입니다. - 실무에서 검증된 플러그인, 스킬, 훅(Hooks), 에이전트를 필요한 기능만 선택해 설치할 수 있습니다. - React·프론트엔드 개발, GitHub 자동화, Supabase·Stripe·MongoDB 연동, 브라우저 자동화, 클라우드 플랫폼 등 다양한 개발 환경을 지원합니다. - AI 코딩 환경을 빠르게 구성하고 생산성을 높이고 싶은 개발자에게 유용한 자료입니다. https://claudesettings.com/ #ClaudeCode #Codex #Cursor #GeminiCLI #AI #GitHub #DeveloperTools AI 정보는 이곳에서!
👍2
오늘도 노고 많으셨습니다!
위키독스 무료 서적 5종을 제작하였습니다. 0. GPT & Codex 기초부터 고급까지 100 웹 서적을 위키독스에 새롭게 공개하였습니다. 위키독스: https://wikidocs.net/book/20375 깃허브: https://github.com/lsszz2100/Codex_King GPT와 Codex를 처음 접하는 분들부터 실무 및 고급 활용법을 배우고 싶은 분들까지 폭넓게 학습할 수 있도록 구성하였으니 많은 관심 부탁드립니다. 1. 클로드 기초부터 고급까지 100 Claude를 기초부터 고급 활용까지 폭넓게 다루는 무료 전자책입니다. 최신 AI 트렌드를 반영하여 Claude 활용법을 체계적으로 정리했습니다. 깃허브: https://github.com/lsszz2100/Claude_100 위키독스: https://wikidocs…
매주 업데이트 중입니다 :) 워게임 추가 완료! 바이브해킹이라는 사이버보안 학습 저장소를 제작하였습니다. 많은 관심 및 응원 부탁드립니다. 감사합니다! 주기적으로 업데이트 예정입니다. 1. VibeHacking은 인공지능 시대에 해킹과 보안을 빠르고 체계적으로 배울 수 있도록 만든 사이버보안 학습 저장소입니다. 2. AI를 활용해 어려운 보안 개념을 쉽게 이해하고, Linux 기초부터 웹 해킹, 시스템 해킹, 네트워크, 포렌식, 클라우드 보안, 레드팀, AI 보안까지 다양한 분야를 단계적으로 학습할 수 있도록 구성했습니다. 3. 본 프로젝트는 합법적인 보안 학습과 방어 역량 강화를 위한 교육용 목적으로 제작되었습니다. 4. 타인의 시스템을 무단으로 공격하거나, 정보를 탈취하거나, 불법적인 목적으로 악용해서는 안 되며, 모든 실습은 …
인공지능 플랫폼! 단기 교육/강의 및 교육업체 지원도 가능합니다! 협업 문의도 언제든지 연락주세요 :) 캔바 프로 - 1년 1만원 개인계정 추가! 캡컷, 오토데스크, VPN, 게임 등 다양한 플랫폼 가능합니다 :) 구독상품리스트: https://ai-271095118965.asia-south1.run.app 문의: https://open.kakao.com/o/s4OEqBai #인공지능구독할인
여러분의 많은 관심과 성원 덕분에 어느덧 페이스북 팔로워 1만 명, 링크드인 1천명 및 텔레그램 채널 구독자 1,900명을 달성하게 되었습니다. 진심으로 감사드립니다. 페이스북: https://www.facebook.com/lsszz1 텔레그램: https://t.me/aiinnovationstudio 스레드: https://www.threads.com/@ais.root 링크드인: https://www.linkedin.com/in/soulai 앞으로도 AI와 보안 분야의 최신 정보는 물론, 도움이 되는 다양한 토이 프로젝트와 기술 콘텐츠를 꾸준히 공유하겠습니다. 특히 AI를 누구나 쉽고 효과적으로 활용할 수 있는 그날까지, 더 많은 분들이 AI를 실무와 일상에 자연스럽게 접목할 수 있도록 유용한 정보와 경험을 아낌없이 나누겠습니다. 보…
텔레그램 세 곳을 오픈하였습니다. 1. 인공지능 정보공유 텔레그램(무료 이벤트, 무료 자료도 많이 드립니다) https://t.me/aiinnovationstudio 2. 유데미 100% 할인쿠폰을 서칭하여 제공하는 텔레그램 https://t.me/UdemyFreeKR 3. 깃헙, 허깅페이스 등 유용한 인공지능 관련 오픈소스 링크를 제공하는 텔레그램 https://t.me/aigithubnews #텔레그램추천
Battle of the Hoth Simulator - Star Wars의 '호스 전투(Battle of Hoth)'를 직접 플레이하거나 제작할 수 있는 오픈소스 시뮬레이터입니다. - 3D 모델을 불러와 전장을 구성하고, 다양한 유닛을 배치해 전투를 구현할 수 있습니다. - Sketchfab 등에서 제공하는 3D 모델을 활용해 자신만의 게임이나 데모 프로젝트를 제작하는 데 활용할 수 있습니다. - 게임 개발과 3D 콘텐츠 제작을 배우고 싶은 개발자에게 유용한 예제 프로젝트입니다. GitHub https://github.com/csanz/battle-of-the-hoth-simulator 3D 모델 예시 (Sketchfab) https://sketchfab.com/3d-models/imperial-at-st-walker-star-wa…
BirdingPal - OpenAI가 새 관찰(버드워칭)을 돕는 AI 음성 어시스턴트 프로젝트 'BirdingPal'을 공개했습니다. - 버튼을 누른 뒤 새의 모습을 설명하거나 울음소리를 들려주면 AI가 새의 종류를 추정하고 관찰 기록을 저장해 줍니다. - 음성 인터페이스를 중심으로 자연 속에서 손쉽게 사용할 수 있도록 설계된 휴대용 AI 동반자입니다. - 현재는 누구나 직접 제작할 수 있는 오픈소스 프로토타입으로 공개됐으며, 코드와 제작 가이드가 함께 제공됩니다. https://github.com/openai/birdingpal #OpenAI #BirdingPal #AI #OpenSource #VoiceAI #GitHub AI 정보는 이곳에서!
Google AI Pro·Ultra, 매월 Google Cloud 크레딧 제공 - Google AI Pro와 AI Ultra 구독자는 매월 무료 Google Cloud 크레딧을 받을 수 있습니다. - 제공 금액은 AI Pro 월 10달러, AI Ultra 20TB 월 40달러, AI Ultra 30TB 월 100달러입니다. - 크레딧은 Google Developer Program에서 활성화할 수 있으며, Google Cloud 프로젝트와 결제(Billing) 설정이 필요합니다. - 지급된 크레딧은 Google Cloud의 다양한 AI 및 클라우드 서비스를 체험하거나 개발하는 데 사용할 수 있습니다. 참고 - 크레딧 소진 후 추가로 과금될 수 있으니 주의하세요. https://me.developers.google.com/benefit…
Showing the 12 most recent of 18 posts we hold for @aiinnovationstudio. 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 — 1,242,572 of 1,350,102entries 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.
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 1 registered channel — 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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“AI_Innovation_Studio” (@aiinnovationstudio), 1,964 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/aiinnovationstudio.
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.