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Channel

Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning

@aichads

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

22,902subscribers

+147 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002135881900
TypeChannel
Username@aichads
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/aichads

Growth

22,75522,90322,8296 August 2026 — 22,755 subscribers7 August 2026 — 22,757 subscribers8 August 2026 — 22,763 subscribers8 August 2026 — 22,769 subscribers9 August 2026 — 22,773 subscribers10 August 2026 — 22,787 subscribers11 August 2026 — 22,790 subscribers13 August 2026 — 22,798 subscribers14 August 2026 — 22,810 subscribers15 August 2026 — 22,798 subscribers17 August 2026 — 22,810 subscribers18 August 2026 — 22,823 subscribers19 August 2026 — 22,828 subscribers20 August 2026 — 22,826 subscribers21 August 2026 — 22,833 subscribers24 August 2026 — 22,844 subscribers25 August 2026 — 22,841 subscribers26 August 2026 — 22,839 subscribers27 August 2026 — 22,841 subscribers28 August 2026 — 22,844 subscribers29 August 2026 — 22,857 subscribers30 August 2026 — 22,873 subscribers31 August 2026 — 22,892 subscribers1 September 2026 — 22,891 subscribers2 September 2026 — 22,895 subscribers4 September 2026 — 22,903 subscribers6 September 2026 — 22,899 subscribers9 September 2026 — 22,902 subscribers22,9026 August 20269 September 2026
28 measurements spanning 34 days, net +147. 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 22,733–22,925 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
9 Sept 2026, 10:5922,902+3
6 Sept 2026, 05:5722,899-4
4 Sept 2026, 00:5422,903+8
2 Sept 2026, 18:3722,895+4
1 Sept 2026, 14:4922,891-1
31 Aug 2026, 15:0522,892+19
30 Aug 2026, 17:3522,873+16
29 Aug 2026, 15:5422,857+13
28 Aug 2026, 17:5622,844+3
27 Aug 2026, 16:0822,841+2
26 Aug 2026, 18:5222,839-2
25 Aug 2026, 21:2422,841-3
24 Aug 2026, 18:0722,844+11
21 Aug 2026, 12:0722,833+7
20 Aug 2026, 11:1322,826-2
19 Aug 2026, 08:0822,828+5
18 Aug 2026, 09:1422,823+13
17 Aug 2026, 10:2322,810+12
15 Aug 2026, 17:5222,798-12
14 Aug 2026, 09:3722,810first reading

Engagement

23 posts held, back to 7 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.63%
avg views ÷ 22,902 subscribers
Avg views / post
830
3 posts measured
Reaction rate
0.259%
reactions ÷ views · ER floor
Posts in window
3
of 23 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 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 August 2026
Posts held23 (7 May 202625 August 2026)
Views total2,491
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:56 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

70 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 90.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6390.0%
🔥45.71%
👍22.86%
👏11.43%

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 19 of the 23 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 70 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 7 May 2026 to 25 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

25 Aug 2026, 12:27 UTC563 viewsread 3 September 2026
Photo

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14 Aug 2026, 09:17 UTC≈1,010 views4 reactionsread 3 September 2026
Photo

n8n cheat sheet I wish I had this cheat sheet when I started automating using n8n. Save this before it disappears. This cheat sheet covers everything from triggers to AI agents, expressions to keyboard shortcuts. Whether you're building your first workflow or your hundredth, you'll want this in your back pocket.

4

13 Aug 2026, 09:27 UTC918 views1 reactionsread 3 September 2026

Top AI Models for Developers There is no single winner for every dev task. 1. Claude — Anthropic Best for: Complex coding & large codebases Excellent for: Debugging, refactoring, code reviews, multi-file changes, agentic coding, understanding existing codebases Best choice: Complex production development 2. GPT — OpenAI Best for: All-round software development Excellent for: Coding, debugging, architecture, a

1

4 Aug 2026, 11:14 UTC≈1,100 views2 reactionsread 3 September 2026

5 Free Courses to Go From AI Beginner to Practitioner 1️⃣ Harvard CS50: Introduction to AI with Python 🎓 Learn the fundamentals of AI before diving into machine learning. Build AI projects like Tic-Tac-Toe, search algorithms, and logic solvers while mastering core AI concepts. 👉 Click Here: https://cs50.harvard.edu/ai/ 2️⃣ Google Machine Learning Crash Course 📊 Google's official ML course teaches gradient descent,

2

24 Jul 2026, 09:42 UTC≈1,500 views5 reactionsread 3 September 2026

✅ Top Artificial Intelligence Concepts You Should Know 🤖🧠 🔹 1. Natural Language Processing (NLP) Use Case: Chatbots, language translation → Enables machines to understand and generate human language. 🔹 2. Computer Vision Use Case: Face recognition, self-driving cars → Allows machines to "see" and interpret visual data. 🔹 3. Machine Learning (ML) Use Case: Predictive analytics, spam filtering → AI learns patterns f

5

23 Jul 2026, 06:35 UTC≈1,120 viewsread 3 September 2026
Photo

If you’re a student, graduate, or someone looking for a career switch, read this. Most people spend months watching random YouTube videos and still don’t become job-ready. Instead, learn in a structured offline classroom. 📌 Data Analytics with GenAI 📌 Python + SQL + Power BI 📌 6-Month Program 📌 1:1 Mentorship 📌 Job Assistance 📍Now available in your city. Seats are limited. 👉 Register Here: https://lp.pwskills.c

16 Jul 2026, 08:55 UTC≈1,330 viewsread 3 September 2026
Photo

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2 Jul 2026, 17:39 UTC≈1,780 views1 reactionsread 3 September 2026

🎯 Step by step AI and ML roadmap with a YouTube playlist 👇 Step 1 - Python programming: https://youtu.be/eirjjyP2qcQ?si=KuAvg-DuKxMkD7jR Step 2 - Foundation of AI/ML: https://youtu.be/VOpETRQGXy0?si=mfJ86zEFHv2VqGrb Step 3 - Data Science: https://youtu.be/fM4qTMfCoak?si=AhpjlpEmRAQh9k0g Step 4 - Gen AI + LLM foundation: https://youtu.be/pSVk-5WemQ0?si=7tb-RGCSxwrXV5E2 Step 5 - LangChain + LangGraph: https://yout

1

1 Jul 2026, 16:54 UTC≈1,510 views1 reactionsread 3 September 2026
Photo

🐶 ASO Corgi — platform for the App Store developers. Find the keywords your apps and competitors rank for, and track positions across every country in one place. 🔑 Keyword research: by topic, by your app's languages, from App Store suggestions, by competitors, and with AI analysis. • Rankings by country — history, charts, demand score (0–100) • Global search across any App Store storefront • ASO assistant builds you

1

26 Jun 2026, 16:07 UTC≈1,430 views2 reactionsread 3 September 2026

AI agents are no longer just a developer toy. OpenAI published new research on how agents are changing work, and the main takeaway is important: AI is moving from short chat interactions to delegated long-horizon tasks. That sounds abstract, but here is the simple version: Old way: ask AI one question, get one answer. New way: give AI a task, let it work for minutes or hours, review the result. This is the shif

2

Showing the 12 most recent of 23 posts we hold for @aichads. 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.

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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Generative AI
@generativeai_gpt · 30,693
Telegram ranks this channel #20 of 82 here — alongside 81 others — read 7 September 2026
AI Prompts | ChatGPT | Google Gemini | Claude
@aiindi · 58,199
Telegram ranks this channel #22 of 85 here — alongside 84 others — read 23 August 2026
ChatGPT & Free AI Resources
@learngpt · 37,793
Telegram ranks this channel #35 of 79 here — alongside 78 others — read 31 August 2026
Artificial Intelligence & ChatGPT Prompts
@Curiousprogrammer · 42,275
Telegram ranks this channel #39 of 81 here — alongside 80 others — read 29 August 2026
Python Interviews
@PythonInterviews · 28,971
Telegram ranks this channel #43 of 86 here — alongside 85 others — read 9 September 2026
Python for Data Analysts
@pythonanalyst · 51,867
Telegram ranks this channel #44 of 82 here — alongside 81 others — read 24 August 2026
Web Development & Javascript Notes - Frontend Resources
@webdevelopmentbook · 32,409
Telegram ranks this channel #47 of 75 here — alongside 74 others — read 5 September 2026
Software Developer Jobs & IT Internships
@internshiptojobs · 48,403
Telegram ranks this channel #49 of 84 here — alongside 83 others — read 26 August 2026
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 58,154
Telegram ranks this channel #49 of 82 here — alongside 81 others — read 23 August 2026
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,705
Telegram ranks this channel #52 of 84 here — alongside 83 others — read 30 August 2026
Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence
@DataPortfolio · 38,065
Telegram ranks this channel #53 of 83 here — alongside 82 others — read 31 August 2026
Coding & Data Science Resources
@codingfreebooks · 32,513
Telegram ranks this channel #55 of 79 here — alongside 78 others — read 5 September 2026
Artificial Intelligence
@machinelearning_deeplearning · 55,524
Telegram ranks this channel #55 of 86 here — alongside 85 others — read 23 August 2026
Data Analyst Interview Resources
@dataanalystinterview · 52,600
Telegram ranks this channel #60 of 85 here — alongside 84 others — read 24 August 2026
OFF CAMPUS JOBS 2024 KN ACADEMY | LATEST HIRING
@internshipsupdate · 29,701
Telegram ranks this channel #62 of 79 here — alongside 78 others — read 8 September 2026
Data Science Projects
@pythonspecialist · 56,172
Telegram ranks this channel #63 of 89 here — alongside 88 others — read 23 August 2026
Coding & AI Resources
@leadcoding · 35,426
Telegram ranks this channel #66 of 79 here — alongside 78 others — read 2 September 2026
Fresher Jobs Adda
@Fresherjobsadda · 105,335
Telegram ranks this channel #79 of 93 here — alongside 92 others — read 15 August 2026
CloudyML - Data Science & Analytics
@cloudymlofficial · 48,035
Telegram ranks this channel #80 of 88 here — alongside 87 others — read 26 August 2026

This channel appears in 19 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning” (@aichads), 22,902 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/aichads.

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.