Telegram RegisterThe public register of Telegram

Channel

حمیدرضا خاتونی| مدرس هوش مصنوعی

@khatooni_com

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

175subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001189439321
TypeChannel
Username@khatooni_com
Descriptionترفندها و تکنیک های به روز 😍😍 برای ساخت تولید محتوا در کمتر از 2 دقیقه 🙈 بدون هیچ پیش نیازی❤️ بیش از 20سال تجربه و تخصص آموزشی و کاری مدرس: حمیدرضا خاتونی❤️ متخصص و مدرس مطرح کشور
CreatedBetween 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/khatooni_com

Growth

1756 August 2026 — 175 subscribers8 August 2026 — 175 subscribers6 August 20268 August 2026
2 measurements spanning 2 days. 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 174–176 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 14:01175no change
6 Aug 2026, 22:39175first reading

Engagement

20 posts held, back to 5 January 2025the 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 29 May 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
34
Videos
36
Links
43

Lifetime counters from Telegram’s own channel header, read 8 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
8m 02s
Average length
54s

Measured directly from 9 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

13 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 53.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
753.8%
👍215.4%
🕊215.4%
🙏215.4%

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 6 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 13reactions 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 5 January 2025 to 29 May 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

29 May 2025, 19:25 UTC92 viewsread 8 August 2026
Video

کارگاه هوش مصنوعی و کارگاه ارائه های جذاب با پرزی در دانشگاه تهران برگزار شد

26 May 2025, 20:56 UTC523 viewsread 8 August 2026
Video

بهترین هوش مصنوعی دنیا برای تبدیل متن فارسی به صدای فارسی با دقت98 از 100 درصد😍 حمیدرضا خاتونی لینک : https://aistudio.google.com/ @khatooni_com

24 May 2025, 19:51 UTC468 viewsread 8 August 2026

اکانت یک ساله هوش مصنوعی گوگل به ارزش ۳۰۰ دلار را رایگان دریافت کنید. حتما با وی پی ان آمریکا وارد لینک زیر شوید و اکانت بسازید http://one.google.com/join/ai-student هر لحظه ممکن است این روش از کار بیفتد @khatooni_com

17 Mar 2025, 01:24 UTC211 views1 reactionsread 8 August 2026
Photo

مراسم سوم پدر بنده: https://nshn.ir/6b_bvYHtOxpQbg

🕊1

18 Feb 2025, 17:06 UTC805 viewsread 8 August 2026
Video

۳ تا هوش مصنوعی ویژه بسیار پر کاربرد رو یاد دادم که حرفه ای ها باهاش کار می کنن Gamma App - https://gamma.app/ دوست داری بدون نرم‌افزار پیچیده، پاورپوینت حرفه‌ای بسازی؟ سراغ Gamma App برو! کافیه یه موضوع Natural Readers - https://www.naturalreaders.com/ آیا همیشه وقت نوشتن یا ضبط صدا نداری؟ Natural Readers راه‌حل شماست! این ابزار متن‌هایتون رو به صدای حرفه‌ا PhotoRoom Background Remover - https://www.photoroom.

15 Feb 2025, 16:21 UTC77 viewsread 8 August 2026
Video

کاش این 3 ابزار جادویی رو زودتر می شناختم! آماده‌اید که زبان، دیگر مانعی برای شما نباشه؟ با این راه‌حل‌های فوق‌العاده، هر ویدیو، عکس یا متنی که بخواید رو به فارسی تبدیل کنید و حرف‌های دنیا رو بدون هیچ مشکلی درک کنید.

15 Feb 2025, 15:57 UTC408 viewsread 8 August 2026
Video

کاش این 3 ابزار جادویی رو زودتر می شناختم! آماده‌اید که زبان، دیگر مانعی برای شما نباشه؟ با این راه‌حل‌های فوق‌العاده، هر ویدیو، عکس یا متنی که بخواید رو به فارسی تبدیل کنید و حرف‌های دنیا رو بدون هیچ مشکلی درک کنید.

15 Feb 2025, 15:57 UTC470 views1 reactionsread 8 August 2026

💡 کاش این 3 ابزار جادویی رو زودتر می شناختم! آماده‌اید که زبان، دیگر مانعی برای شما نباشه؟ با این راه‌حل‌های فوق‌العاده، هر ویدیو، عکس یا متنی که بخواید رو به فارسی تبدیل کنید و حرف‌های دنیا رو بدون هیچ مشکلی درک کنید. 🌐✨ 📢 تبدیل ویدیو، عکس و متن به فارسی ساده‌تر از همیشه! 1️⃣ Language Reactor هر ویدیویی که ببینید، حتی اگه انگلیسی یا هر زبان دیگه‌ای باشه، با Language Reactor به سرعت به فارسی ترجمه بشه. کافیه

1

10 Feb 2025, 08:11 UTC571 viewsread 8 August 2026
Video

🤔 آیا شما هم جزو 90 درصدی هستید که نمی دونن! . . . 90 درصد از کاربران شبکه های اجتماعی، اینستاگرام، پینترست و... نمی‌دونن که می‌تونن فایل‌های مورد علاقه‌شون رو رایگان و بدون پرداخت هیچ اشتراک دانلود کنن! 🎥 راهکار ساده این روش توی این ویدیو قرار داره. 👨‍🏫 حمیدرضا خاتونی با آموزش‌های ساده و کاربردی، راه‌هایی برای شما آماده کرده که زندگی دیجیتال‌تون رو بهبود بده. ⚠️ یادت نره: قبل از هر کاری، حتماً حقوق محتوای دی

Showing the 12 most recent of 20 posts we hold for @khatooni_com. 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 — 77,226 of 1,160,990entries 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 3 registered channels — 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.

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

“حمیدرضا خاتونی| مدرس هوش مصنوعی” (@khatooni_com), 175 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/khatooni_com.

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.