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Channel

حمید تدین

@tadayonTalks

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

3,900subscribers

-5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001086176748
TypeChannel
Username@tadayonTalks
CreatedBetween 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/tadayonTalks

Growth

3,9003,9053,902.57 August 2026 — 3,905 subscribers7 August 2026 — 3,905 subscribers10 August 2026 — 3,902 subscribers13 August 2026 — 3,903 subscribers16 August 2026 — 3,900 subscribers7 August 202616 August 2026
5 measurements spanning 9 days, net -5. 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 3,899–3,906 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 20:163,900-3
13 Aug 2026, 09:353,903+1
10 Aug 2026, 09:003,902-3
7 Aug 2026, 15:503,905no change
7 Aug 2026, 15:463,905first reading

Engagement

18 posts held, back to 19 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
33.1%
avg views ÷ 3,900 subscribers
Avg views / post
1,290
6 posts measured
Reaction rate
1.64%
reactions ÷ views · ER floor
Posts in window
6
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held18 (19 June 20267 August 2026)
Views total7,734
Reactions total127
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:58 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
3m 40s
Average length
1m 50s

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

429 reactions across 18 posts, in 10 distinct kinds. The most used accounts for 55.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
23655.0%
👍12930.1%
🔥358.16%
👏102.33%
👌61.40%
🙏61.40%
🥰30.699%
😁20.466%
🍓10.233%
🤣10.233%

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 18 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 429reactions 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 19 June 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

7 Aug 2026, 07:46 UTC579 views23 reactionsread 8 August 2026
Photo

🎯 تغییر مهمی برای کاربران ChatGPT در راه هستش. از هفته آینده کاربران نسخه رایگان و اشتراک Go می‌تونن بدون نگرانی از تمام شدن سهمیه با این ابزار چت متنی نامحدود داشته باشن. البته محدودیت تصویر و بارگذاری فایل همچنان باقی می‌مونه. این یک خبر عالی هستش برای کسایی که نمیخوان هزینه زیادی برای خرید اکانت سرویس‌های هوش مصنوعی داشته باشن. مدل پیش‌فرض کاربران رایگان هم به GPT-5.6 Luna ارتقا پیدا می‌کنه. دکمه Think هم برای پ

👍1310

3 Aug 2026, 15:49 UTC995 views10 reactionsread 8 August 2026

🚨 چرا با وجود مهارت بالا، هنوز پیشرفت نمی‌کنیم؟ خیلی از ما فکر می‌کنیم اگه فقط یه مهارت فنی رو به حد کمال برسونیم یا یه «ایده میلیاردی» داشته باشیم، موفقیت و درآمد خودش میاد سمتمون. اما واقعیت بازار کار امروز اصلاً این‌طوری نیست! توی ویدیوی جدید یوتیوب، رفتم سراغ ۵ تله و گلوگاه اصلی که آینده شغلی خیلی از متخصص‌ها رو نابود می‌کنه. از فلج شدن تو بمباران اطلاعاتی تا گیر افتادن توی «تله تکنسین» و بلد نبودنِ فروش محصول.

6👍2🔥2

2 Aug 2026, 18:43 UTC≈1,100 views30 reactionsread 8 August 2026

همه ما دنبال ساختن آینده شغلی خودمون هستیم فرقی نداره که بخواید برید سراغ راه انداختن یه ایده جدید، تبدیل شدن به کسی که شرکت خودش رو راه میندازه یا کسی که میخواد توی شغلش پیشرفت کنه و موقعیت شغلی بهتری بگیره یا مثلا تبدیل به مدیر بشه و ... همه ما توی دنیای مدرن به چالش های زیادی برخورد میکنیم. یکی از دلایلش اینه که دنیا داره با سرعت خیلی خیلی بالایی تغییر میکنه و ذهن ما به این سرعت عادت نداره و همین باعث شده پیدا ک

🔥12👍107🤣1

2 Aug 2026, 10:45 UTC≈1,150 views24 reactionsread 8 August 2026
Photo

توی دو ماه گذشته حسابی مشغول برگزاری یک دوره کامل با شتابدهنده فرانیک بودیم و این یکی از دلایلی بود که این چند وقت تلگرام کمتر فعال بودیم (دلایل دیگش رو به زودی خبردار میشید و نتایج کارها رو میبینید ☺️) دوره ساخت محصول و استارتاپ با هوش مصنوعی که از صفر تمام موارد رو به شرکت کننده ها یاد دادیم و در نهایت ایده هایی که جذاب و موفق باشن روشون سرمایه گذاری هم انجام خواهد شد تجربه عالی بود و به زودی دوره جدید شروع میشه

13👍7🔥3👏1

27 Jul 2026, 18:22 UTC≈1,770 views23 reactionsread 8 August 2026

خیلی از ما سال‌ها وقت گذاشتیم تا یک تخصص رو یاد بگیریم، اما حالا با یک آپدیت جدید AI، احساس می‌کنیم تمام اون مهارت‌ها زیر سوال رفته. حقیقت اینه که مشکل از ما نیست؛ معنای «تخصص» و «دانستن» تو عصر مدرن تغییر کرده. دیگه فقط «دونستن» یا «تکرار یک تسک» ارزش محسوب نمیشه، چون هوش مصنوعی این کار رو خیلی ارزون‌تر و سریع‌تر انجام میده. چرا باید این ویدیو رو ببینی؟ تو این ویدیوی جدید، عمیقاً بررسی کردم که چطور می‌تونیم تو دنی

13👍8🔥2

18 Jul 2026, 15:43 UTC≈2,140 views17 reactionsread 8 August 2026

📌 دیگه وقتشه روش یادگیریمون رو عوض کنیم! سالهاست به ما گفتن برای موفقیت باید یه مهارت رو کامل بلد باشی و سالها روش وقت بذاری. ولی دنیای امروز با اومدن هوش مصنوعی دیگه این قانون قدیمی جواب نمیده! 🧠⚡️ توی این ویدیوی جدید، به زبان خیلی ساده و شفاف توضیح میدم که چرا باید استراتژی زندگمونیمون رو عوض کنیم و فرمول جدید بقا توی عصر هوش مصنوعی چیه. 👇 همین الان ببین: https://youtu.be/RoC5Zw0UXrI

👍8👌54

16 Jul 2026, 06:54 UTC≈2,230 views33 reactionsread 8 August 2026

یک دوره آموزشی عالی از شرکت Anthropic که توی بسیار روان درباره claude و نحوه استفاده از اون آموزش میده این آموزش حتی میتونه توی استفاده از سایر هوش مصنوعی ها مثل ChatGPT هم مفید باشه حتما نگاهش کنید. اگه زبان انگلیسیتون خوب نیست روی کامپیوتر میتونید زیرنویس فارسی رو توی یوتیوب فعال کنید و اون رو ببینید https://www.youtube.com/live/6eBSHbLKuN0?is=ae8U3LoeUOSD6U7o

21👍8🔥2🙏2

12 Jul 2026, 10:39 UTC≈2,270 views11 reactionsread 8 August 2026

https://youtu.be/pJ0jjYpFooI?is=KPs5hXZmSXPzmnjC

5👍2👏2🙏2

12 Jul 2026, 10:39 UTC≈2,010 views18 reactionsread 8 August 2026
Video

🤖 در رقابت با Claude cowork که یکی از بهترین قابلیت های این هوش مصنوعی هستش، چت‌جی‌پی‌تی از قابلیت Work رونمایی کرد؛ یک هوش مصنوعی که به‌جای شما کار انجام می‌دهد در واقع این ابزار ChatGPT رو به یک دستیار کامل برای شما تبدیل میکنه (البته هنوز کار زیاد داره تا واقعا بشه دستیار همه کاره) یکی از روش هایی که ما از ChatGPT استفاده میکنیم، پرسش و پاسخ هستش اما این ابزار الان به ما قابلیت انجام کامل یک پروژه رو با ChatGPT

👍107🍓1

7 Jul 2026, 16:29 UTC≈1,950 views16 reactionsread 8 August 2026

https://youtu.be/2ZKPwMrznfQ?si=kxEZFedMiUQuzbpy

10👍3🔥3

5 Jul 2026, 17:08 UTC≈1,850 views31 reactionsread 8 August 2026
Video

#تجربه 🆔 @tadayonTalks

20👍8🔥3

1 Jul 2026, 05:40 UTC≈2,800 views42 reactionsread 8 August 2026
Photo

🚀 دیروز Anthropic نسخه‌ی جدید مدلش، Claude Sonnet 5، رو معرفی کرد. و این یکی برای کسایی که با AI کار میکنن، خبر مهم‌تری از چیزیه که به‌نظر می‌رسه. نکته‌ی اصلی سرعت یا باهوش‌تر بودن نیست. نکته اینه که این مدل «agentic»تره — یعنی می‌تونه یه کار چندمرحله‌ای رو خودش تا آخر ببره. برنامه بریزه، از ابزارهایی مثل مرورگر و ترمینال استفاده کنه، و کاری رو که قبلاً وسط راه ول می‌کرد، تا تهش تموم کنه. ⚙️ چیزی که مدل‌های قبلی نص

25👍13🥰2👌1🙏1

Showing the 12 most recent of 18 posts we hold for @tadayonTalks. 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 — 555,563 of 1,481,502entries 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.

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

“حمید تدین” (@tadayonTalks), 3,900 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/tadayonTalks.

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.