Channel
@amirtoday
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
4,457subscribers
-48 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001336441616 |
|---|---|
| Type | Channel |
| Username | @amirtoday |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/amirtoday |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Sept 2026, 19:18 | 4,457 | +2 |
| 3 Sept 2026, 14:38 | 4,455 | +1 |
| 31 Aug 2026, 08:45 | 4,454 | -6 |
| 28 Aug 2026, 05:47 | 4,460 | -2 |
| 24 Aug 2026, 20:45 | 4,462 | -13 |
| 21 Aug 2026, 12:42 | 4,475 | -8 |
| 18 Aug 2026, 04:53 | 4,483 | -3 |
| 15 Aug 2026, 14:06 | 4,486 | -11 |
| 12 Aug 2026, 06:22 | 4,497 | -3 |
| 9 Aug 2026, 05:03 | 4,500 | -4 |
| 6 Aug 2026, 13:40 | 4,504 | -1 |
| 6 Aug 2026, 08:01 | 4,505 | first reading |
9 posts held, back to 30 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pages of 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 9 posts for this entry, the most recent from 20 July 2026. An engagement rate over an empty window would be a number about nothing.
188 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 46.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 88 | 46.8% | |
| ❤🔥 | 50 | 26.6% | |
| 👏 | 42 | 22.3% | |
| 🐳 | 5 | 2.66% | |
| 😍 | 2 | 1.06% | |
| 🤣 | 1 | 0.532% |
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 9 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 188 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 30 May 2026 to 20 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.
هوش مصنوعی و برنامه نویسی با امیرتودی pinned «‼️ دوستان یه نکتهای رو خوب دقت کنید 📢 تبلیغاتی که از سمت تلگرام با برچسب Ad در کانال به شما نشون میده، متعلق به ما نیست و شدیداً خطرناک هستند، خیلی حواستون باشه!! 🌐 @amirtoday»
‼️ دوستان یه نکتهای رو خوب دقت کنید 📢 تبلیغاتی که از سمت تلگرام با برچسب Ad در کانال به شما نشون میده، متعلق به ما نیست و شدیداً خطرناک هستند، خیلی حواستون باشه!! 🌐 @amirtoday
❤10🤣1
💡 تفاوت هوش مصنوعی، یادگیری ماشین، یادگیری عمیق و شبکههای عصبی چیست؟ 🖥 در دنیای فناوری، این مفاهیم زیاد کنار هم استفاده میشوند؛ اما هرکدام جایگاه و کاربرد متفاوتی در ساخت سیستمهای هوشمند دارند. ⌨️ در این مطلب، تفاوت بین هوش مصنوعی، یادگیری ماشین، یادگیری عمیق و شبکههای عصبی را به زبان ساده بررسی کردهایم؛ مفاهیمی که درک درست آنها میتواند مسیر یادگیری AI را شفافتر کند. ⌨️ اگر به هوش مصنوعی، برنامهنویسی یا ت…
❤9
💡 اگر به هوش مصنوعی علاقهمند هستید و دوست دارید فراتر از مفاهیم تئوری بروید، کتاب AI Engineering میتواند انتخاب ارزشمندی باشد. 🤩 این کتاب بیشتر از آنکه فقط درباره مدلهای هوش مصنوعی توضیح بدهد، روی این موضوع تمرکز دارد که چطور میتوان با Foundation Models اپلیکیشنها و ابزارهای واقعی ساخت. 🤖 از طراحی راهحلهای کاربردی گرفته تا استفاده عملی از مدلهای زبانی در پروژهها، این کتاب برای کسانی مناسب است که میخواهند …
❤🔥7❤4🐳1😍1
💡 بهترین مخازن گیت هاب برای توسعه وب با پایتون 🐍 اگر با زبان برنامه نویسی پایتون در حوزه توسعه وب فعالیت میکنید، آشنایی با مخازن کاربردی گیتهاب میتواند مسیر یادگیری و ساخت پروژههای حرفهای را برایتان سریعتر کند. 🐱 در این مقاله، مجموعهای از بهترین مخازن GitHub برای توسعه وب با Python را معرفی کردهایم؛ از فریمورکها و ابزارهای کاربردی گرفته تا پروژههای متنباز الهامبخش! 👣 اگر با Django، Flask یا FastAPI کا…
❤14❤🔥1🐳1
💡 اگر میخواهید مهارتهای مرتبط با فریمورک Django خود را از سطح آموزشی به سطح پروژههای واقعی ارتقا دهید، فقط دیدن دوره و خواندن مستندات کافی نیست؛ باید پروژه بسازید. 🌐 در این مجموعه، بهترین پروژههای کاربردی معرفی شده که هرکدام بخشی از مهارتهای مهم توسعه وب با جنگو را تقویت میکنند؛ از ساخت وبلاگ و فروشگاه اینترنتی گرفته تا REST API، شبکه اجتماعی، چت بلادرنگ و پلتفرم آموزش آنلاین. 💻 این پروژهها به شما کمک میکنن…
❤14❤🔥1
⭐ معرفی افراد فعال هفته دوم 🗓 از 23 خرداد 1405 تا 29 خرداد 1405 👤 پویا عقیقی 👤 فاطمهزهرا رئوفی 👤 مبین عباس زاده 👤 سام بشارتی 👤 نگار خسروی کیا 👤 علیرضا فضلی نژاد 👤 الناز روشنضمیر 👤 علیرضا نجفقلیزاده 👤 فاطمه قاسمی 👤 کیوان فلاح شیری 👤 حنانه اسفندیاری 👤 کاوه آهوان 👤 احسان خزائی 👤 معین شاکری 👤 فرامرز فلاحی 👤 حسین محمدی 👤 سجاد حسنی 👤 پرهام قربانی 👤 احسان قمری 👤 ایلیا سیادت 👤 رضا هاشمپور ✉️ @amirtoday
❤🔥24👏7❤4😍1
⭐ معرفی افراد فعال هفته اول 🗓 از 16 خرداد 1405 تا 22 خرداد 1405 👤 رضا هاشم پور 👤 علیرضا فضلی نژاد 👤 پویا عقیقی 👤 احسان قمری 👤 النا روشن ضمیر 👤 فاطمهزهرا رئوفی 👤 نگار خسروی کیا 👤 پرهام قربانی 👤 محمد محمدخانی 👤 ابوالفضل ایلکا ✉️ @amirtoday
❤26👏18❤🔥7🐳3
7 شب: 74,989 قدم 56.8 کیلومتر ✉️ @amirtoday
👏17❤🔥10❤7
Showing the 9 most recent of 9 posts we hold for @amirtoday. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“هوش مصنوعی و برنامه نویسی با امیرتودی” (@amirtoday), 4,457 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/amirtoday.
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.