Telegram RegisterThe public register of Telegram

Channel

Artificial Intelligence

@Artificial_intelligence_in

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

65,463subscribers

+32 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001450543193
TypeChannel
Username@Artificial_intelligence_in
DescriptionAI will not replace you but person using AI will🚀 I make Artificial Intelligence easy for everyone so you can start with minimum effort. 🚀Artificial Intelligence 🚀Machine Learning 🚀Deep Learning 🚀Data Science 🚀Python + R 🚀AR and VR Dm @Aiindian
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Artificial_intelligence_in

Growth

65,43065,47165,450.56 August 2026 — 65,431 subscribers6 August 2026 — 65,430 subscribers7 August 2026 — 65,442 subscribers8 August 2026 — 65,470 subscribers9 August 2026 — 65,471 subscribers11 August 2026 — 65,466 subscribers12 August 2026 — 65,463 subscribers65,4636 August 202612 August 2026
7 measurements spanning 6 days, net +32. 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 65,424–65,477 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 03:3465,463-3
11 Aug 2026, 02:0265,466-5
9 Aug 2026, 23:3265,471+1
8 Aug 2026, 22:2565,470+28
7 Aug 2026, 23:3365,442+12
6 Aug 2026, 22:4265,430-1
6 Aug 2026, 02:4765,431first reading

Engagement

20 posts held, back to 23 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.07%
avg views ÷ 65,463 subscribers
Avg views / post
5,940
1 post measured
Reaction rate
0.556%
reactions ÷ views · ER floor
Posts in window
1
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 30 July 2026
Posts held20 (23 January 202630 July 2026)
Views total5,940
Reactions total33
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:12 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

Photos
184
Videos
37
Links
432

Lifetime counters from Telegram’s own channel header, read 12 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.

Video runtime
1m 26s
Average length
1m 26s

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.

Reaction mix

801 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 71.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
56971.0%
🔥9411.7%
👍9111.4%
💯475.87%

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 20 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 801reactions 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 23 January 2026 to 30 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.

Telegram Stars

Stars received
5
across the posts below
Posts paid on
2
of 20 we hold a reading for · 10%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Artificial_intelligence_in. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 20 most recent posts we hold for this entry, published 23 January 2026 to 30 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

30 Jul 2026, 06:41 UTC≈5,940 views33 reactionsread 12 August 2026
Photo

These YouTube channels will guide you step by step to master AI Whether you're building Agentic AI workflows or just starting with Python, this llist covers everything: 1. Agentic AI & ChatGPT Watch creators like Krish Naik and Freecodecamp for hands-on projects with GPT, LLMs & automation tools. 2. Machine Learning & Deep Learning Explore channels like StatQuest, Yannic Kilcher and DeepLearningAI for algorithm i

23🔥6👍3💯1

Signed Artificial Intelligence

5 Jul 2026, 02:41 UTC≈11,800 views33 reactionsread 12 August 2026

Weekly AI News 🚀 _This Week in Artificial Intelligence_ The AI industry is moving faster than ever. Here's your quick summary of the biggest announcements, product launches and industry shifts from this week. 🔥 Top Headlines 1. Anthropic launches Claude Sonnet 5 Anthropic introduced Claude Sonnet 5, bringing major improvements in coding, reasoning, and AI agent capabilities, positioning it as one of the strongest

28💯4🔥1

Signed Artificial Intelligence

3 Jul 2026, 17:07 UTC≈10,200 views35 reactionsread 12 August 2026

Want to become an AI Engineer in 2026? Don't start with LangChain. Don't start with Pinecone. Don't even start with AI Agents. Start by understanding this roadmap. 👇 Most people jump straight into building AI apps. They copy tutorials. They connect APIs. They launch chatbots. But when something breaks... They have no idea why. Because they skipped the fundamentals. Here's the AI ecosystem every aspiring AI Engineer

29💯3🔥2👍1

Signed Artificial Intelligence

14 Jun 2026, 14:35 UTC≈12,500 views29 reactionsread 12 August 2026
Photo

AI-powered robot that identifies weeds using computer vision & eliminates them with lasers, reducing the need for harmful pesticides. This startup has developed an AI-powered robot that roams through farms, uses computer vision to identify unwanted weeds & then eliminates them with pinpoint laser precision without spraying harmful pesticides across entire fields. Think about the complexity behind this: ✅ Real-time

26🔥3

Signed Artificial Intelligence

13 Jun 2026, 14:32 UTC≈12,100 views27 reactionsread 12 August 2026

MIT made its entire AI & ML library 100% FREE to access. These 12 books are the best place to start 👇 ↳ 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 1. Foundations of Machine Learning https://cs.nyu.edu/~mohri/mlbook/ The mathematical backbone of ML - algorithms, theory, and how models actually learn. 2. Understanding Deep Learning https://udlbook.github.io/udlbook/ Neural networks explained visually and intuitively, from basics to m

20💯4🔥3

Signed Artificial Intelligence

19 May 2026, 15:55 UTC≈16,300 views59 reactions3 Starsread 12 August 2026

If I were starting AI again in 2026, I would focus on RAG first Today companies are hiring engineers who can build complete AI systems. If you really want your AI portfolio to stand out, stop building basic chatbots and start building RAG applications. Because Retrieval-Augmented Generation (RAG) is becoming the backbone of: → Enterprise AI systems → AI copilots → Research assistants → AI agents → Knowledge manage

46👍11💯2

Signed Artificial Intelligence

15 May 2026, 06:27 UTC≈14,300 views42 reactionsread 12 August 2026

🔥10 Claude prompts you can use daily to transform your everyday life. 1. The Daily Strategist “These are my tasks for today: [paste list]. My main goal this week is [goal]. Prioritize them by real impact, not urgency. Eliminate anything I can delegate or ignore. Group the 3 most important into a 3-hour deep work block and tell me the order to do them in and why.” 2. The Speed Reader “I’m going to share a document

26👍11🔥5

Signed Artificial Intelligence

29 Apr 2026, 14:15 UTC≈16,100 views44 reactionsread 12 August 2026
Video

This is like Claude Design for electronics 🤯 It’s called Blueprint. Type what you want to build and it generates everything you need for your Arduino or Raspberry Pi project. → Wiring diagrams → Bills of materials → Step-by-step assembly guides 100% Free. Project https://www.blueprint.am/ Follow : https://whatsapp.com/channel/0029Va8iIT7KbYMOIWdNVu2Q

24🔥13👍7

Signed Artificial Intelligence

28 Apr 2026, 17:11 UTC≈14,900 views47 reactionsread 12 August 2026
Photo

AI just claimed its first major victim 😳 Chegg, the $14.7 billion EdTech giant that charged students for homework answers, study guides, and textbook rentals, has been economically decapitated by AI. Stock is now down nearly 99% from its 2021 peak. Market cap collapsed to ~$110M. AI tools like ChatGPT, Claude, Gemini, etc., gave students free, instant, better step-by-step solutions. The entire paywall-for-knowledg

💯2116👍10

Signed Artificial Intelligence

23 Apr 2026, 04:34 UTC≈16,500 views23 reactions2 Starsread 12 August 2026
Photo

Anthropic just dropped Claude Design. 🎨🚀 Anthropic's Claude Design just killed many AI startups Here’s how to use it: - Set up your design system with your colours, fonts, and rules. - Create a project and choose the output type. - Upload your brand kit, references, or past designs. - Write a clear brief with layout and structure details. - Refine using inline comments and control sliders. - Export to PPT, Canva, o

16🔥6💯1

Signed Artificial Intelligence

17 Apr 2026, 13:56 UTC≈16,100 views42 reactionsread 12 August 2026
Photo

Never Hit Claude's Token Limit , Again!

30👍5🔥5💯2

Signed Artificial Intelligence

15 Apr 2026, 18:59 UTC≈16,900 views34 reactionsread 12 August 2026
Photo

10 AI/ML must watch YouTube videos for developers: 1. RAG from scratch - freeCodeCamp (~1.3M👀)https://www.youtube.com/watch?v=sVcwVQRHIc8 2. LangChain Crash Course - codebasics (~618k👀)https://www.youtube.com/watch?v=nAmC7SoVLd8 3. Build GPT from scratch - Andrej Karpathy (~7M👀 )https://www.youtube.com/watch?v=kCc8FmEb1nY 4. Agentic AI using LangGraph - CampusX (~1M👀)https://www.youtube.com/playlist?list=PLKnIA16

34

Signed Artificial Intelligence

Showing the 12 most recent of 20 posts we hold for @Artificial_intelligence_in. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 120,505 of 1,151,006entries 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

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.

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.

Great Learning Academy
@GreatLearningAcademy · 157,583
Telegram ranks this channel #35 of 83 here — alongside 82 others — read 12 August 2026
Tricky Man
@Trickyman2 · 155,283
Telegram ranks this channel #43 of 57 here — alongside 56 others — read 12 August 2026
MyGov Newsdesk
@MyGovCoronaNewsdesk · 384,487
Telegram ranks this channel #47 of 80 here — alongside 79 others — read 10 August 2026

This channel appears in 3 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Artificial Intelligence” (@Artificial_intelligence_in), 65,463 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Artificial_intelligence_in.

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.