Telegram RegisterThe public register of Telegram

Channel

MAR3 OFFICIAL CHANNEL

@mar3aichannel

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

12,621subscribers

-55 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001779902983
TypeChannel
Username@mar3aichannel
DescriptionMar3 - The 1st AI SocialFi |> Chat: @mar3ai |> Discord: https://discord.gg/vEdjEBJeTA |> Twitter: https://twitter.com/Mar3_AI
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/mar3aichannel

Growth

12,62112,67612,648.57 August 2026 — 12,676 subscribers7 August 2026 — 12,671 subscribers9 August 2026 — 12,664 subscribers9 August 2026 — 12,662 subscribers11 August 2026 — 12,647 subscribers12 August 2026 — 12,635 subscribers13 August 2026 — 12,626 subscribers14 August 2026 — 12,621 subscribers7 August 202614 August 2026
8 measurements spanning 7 days, net -55. 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 12,613–12,684 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 09:3812,621-5
13 Aug 2026, 03:2512,626-9
12 Aug 2026, 04:3112,635-12
11 Aug 2026, 02:0112,647-15
9 Aug 2026, 22:3112,662-2
9 Aug 2026, 00:5112,664-7
7 Aug 2026, 22:0412,671-5
7 Aug 2026, 01:1612,676first reading

Engagement

20 posts held, back to 30 December 2024the 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.

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 31 March 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
412
Videos
83
Links
494

Lifetime counters from Telegram’s own channel header, read 15 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.

Reaction mix

10 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 40.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
440.0%
👍440.0%
👏110.0%
🤔110.0%

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 8 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 10reactions 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 30 December 2024 to 31 March 2025, 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

31 Mar 2025, 10:33 UTC769 views4 reactionsread 15 August 2026
Photo

🎮 Next-gen games aren’t just for players. They’re for agents too. ✈️ Agents can grind, trade, coordinate, and act on their own. ☄️ AI x Gaming isn’t a concept anymore. It’s happening — powered by open, decentralized infra. 🤖 Launch App: https://tech.mar3.ai

👍31

24 Mar 2025, 07:29 UTC530 viewsread 15 August 2026
Photo

🤖 Understanding AI: LLMs vs. Agents ⚡️LLMs are powerful language models that generate text. However, they don't act independently. AI Agents take it a step further, planning and executing tasks by integrating with external tools and data sources. 🤖 Launch App: https://tech.mar3.ai

18 Mar 2025, 09:04 UTC466 viewsread 15 August 2026
Photo

💣2025: The AI Revolution is Here. 🔗Artificial intelligence has moved beyond potential and is now a driving force across all sectors. We're witnessing a fundamental transformation: smart factories are maximizing manufacturing output, AI-powered precision medicine is revolutionizing healthcare, and hyper-personalized retail experiences are forging deeper customer connections. Adaptive learning platforms are democrati

11 Mar 2025, 02:42 UTC362 viewsread 15 August 2026
Photo

✨Understanding the Operational Framework of Crypto AI Agents 🔥Crypto AI agents are revolutionizing Web3, ushering in an era of automated intelligence. They empower users with data-driven decision-making and seamless task execution. 🪄Autonomous Operation 🪄Decentralized Security 🪄Smart Contract Synergy 🪄Dynamic Learning 🪄Comprehensive Data Analysis 🤖 Launch App: https://tech.mar3.ai

24 Feb 2025, 08:50 UTC295 viewsread 15 August 2026
Photo

🔥Unlock Next-Gen Efficiency: AI Automation vs. Intelligent Agents. 🔗Distinguishing between AI Automation and AI Agents is crucial for optimizing your business's AI strategy. 🔴AI Automation: Streamline & Scale. Rapidly execute predictable, repetitive tasks, revolutionizing structured processes like data entry and reporting. 🔴AI Agents: Adapt & Conquer. Dynamically solve complex problems and make real-time decisions,

19 Feb 2025, 07:32 UTC266 views1 reactionsread 15 August 2026
Photo

🧠From Analysis to Creation: The Rise of Generative AI in Modern Technology ✨Generative AI is revolutionizing the way we create and engage with digital content. Unlike conventional AI systems that focus on analyzing or categorizing existing data, generative AI has the capability to produce entirely novel content, spanning text, images, music, and even complex code. 🤖Generative AI leverages cutting-edge machine learn

1

17 Feb 2025, 06:54 UTC215 viewsread 15 August 2026
Photo

AI Agents: The Next Frontier of Intelligence 🪄AI agents have evolved far beyond simple tools—they now predict, adapt, and execute trades in real-time. The secret? Decentralized intelligence. 🌌The future shines with infinite possibilities—will you simply dream of it, or will you build it? 🤖 Launch App: https://tech.mar3.ai

13 Feb 2025, 07:12 UTC219 viewsread 15 August 2026
Photo

🔥The war has begun🧊 ✨ @OpenAI vs @deepseek_ai: The AI Revolution Unfolds! The AI landscape is rapidly transforming as DeepSeek emerges as a formidable contender alongside OpenAI, sparking debates around affordability, accessibility, and security. As these two pioneers push the boundaries of AI innovation, their rivalry highlights the surging global demand for intelligent, scalable AI solutions. 🧊@deepseek_ai is ma

11 Feb 2025, 06:56 UTC211 viewsread 15 August 2026
Photo

🌎AI Agents must deliver actionable insights and tangible financial results, not merely summarize data. 💻Blockchain is the cornerstone, and Mar3 will drive its realization. 🤖 Launch App: https://tech.mar3.ai

6 Feb 2025, 10:24 UTC262 viewsread 15 August 2026
Photo

🛡AI Agents: Delivering Precision and Speed 🔖In today's fast-paced world, accuracy and efficiency are essential. AI agents analyze vast amounts of data to provide precise insights, empowering you to make faster, better decisions. Elevate your operations with AI-driven precision. 🤖 Launch App: https://tech.mar3.ai

31 Jan 2025, 02:42 UTC285 viewsread 15 August 2026
Photo

🌟 No need for management board, financial advisor. 🤖 I need AI agent. 🔴Launch App: https://tech.mar3.ai

26 Jan 2025, 14:48 UTC294 viewsread 15 August 2026
Photo

🌳AI Agents: Scale Your Business Faster 🚀Ready for rapid growth? AI agents adapt to your evolving needs, providing scalable solutions that grow with your business. Automate processes, enhance user experiences, and unlock new opportunities with the power of AI. 🤖 Launch App: https://tech.mar3.ai

Showing the 12 most recent of 20 posts we hold for @mar3aichannel. 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 — 342,217 of 1,345,403entries 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

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

“MAR3 OFFICIAL CHANNEL” (@mar3aichannel), 12,621 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/mar3aichannel.

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.