Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
58 measurements spanning 93 days, net -273. 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 18,506–18,861 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
7 Nov 2026, 15:01
18,547
-11
6 Nov 2026, 16:19
18,558
-7
5 Nov 2026, 18:46
18,565
-5
4 Nov 2026, 17:46
18,570
-9
2 Nov 2026, 16:14
18,579
+2
1 Nov 2026, 17:27
18,577
-1
31 Oct 2026, 18:11
18,578
-2
30 Oct 2026, 15:56
18,580
-9
29 Oct 2026, 19:20
18,589
-19
28 Oct 2026, 20:09
18,608
-7
27 Oct 2026, 18:26
18,615
-3
26 Oct 2026, 18:49
18,618
-9
25 Oct 2026, 17:18
18,627
-5
24 Oct 2026, 13:46
18,632
-3
23 Oct 2026, 16:28
18,635
-10
22 Oct 2026, 18:41
18,645
+8
20 Oct 2026, 12:04
18,637
-1
19 Oct 2026, 08:35
18,638
+4
18 Oct 2026, 07:28
18,634
-4
17 Oct 2026, 09:20
18,638
first reading
Engagement
119 posts held, back to 2 August 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 65 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.57%
avg views ÷ 18,547 subscribers
Avg views / post
1,590
28 posts measured
Reaction rate
1.08%
reactions ÷ views · ER floor
Posts in window
28
of 119 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
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
119 (2 August 2026 – 7 November 2026)
Views total
44,482
Reactions total
480
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 15:52 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
≈1,920
Videos
≈11
Links
≈1,280
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
1,587 reactions across 115 posts, in 6 distinct kinds. The most used accounts for 51.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
824
51.9%
👍
348
21.9%
🔥
256
16.1%
👏
114
7.18%
🎉
39
2.46%
🥰
6
0.378%
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 115 of the 119 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 1,587 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 119 most recent posts we hold, published 2 August 2026 to 7 November 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
Telegram’s own ‘edited’ marker: 1 of 28 posts held from the last 30 days (3.57%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
😊 ASCIIArt؛ تبدیل متن و عکس به هنر متنی!
تا حالا طرحهایی دیدی که با کاراکترهایی مثل @، # و * ساخته شدن؟ به این سبک میگن ASCII Art؛ روشی برای ساختن طرحهای تصویری با استفاده از کاراکترهای متنی!
با سایت ASCIIArt.eu میتونی طرحهای آماده ببینی، متنهای معمولی رو به نوشتههای تزئینی تبدیل کنی و حتی عکسها رو به طرحهای متنی تبدیل کنی. 👨💻
🛠 چطور ازش استفاده کنیم؟
1️⃣ وارد سایت شو و از منو، بخش Text to ASCII Art ر…
🎮 چرا توی تبلیغات بعضی بازی ها، بازیکن عمداً میبازه؟
دیدی توی یه سری تبلیغات بازی داخل یوتیوب یا اپلیکیشنها، طرف یه حرکت اشتباه و عجیب انجام میده و به راحتی میبازه؟ 😐
جالب اینجاست که خیلی وقت ها این اتفاق عمدیه و پشتش یه ترفند تبلیغاتی وجود داره! 👇
🧠 تحریک حس برتری
وقتی میبینی بازیکن یه اشتباه واضح میکنه، با خودت میگی: «خب معلومه باید اون یکی رو انتخاب میکردی! من خیلی راحت ردش میکنم.»
😤 حرص دادن مخاطب…
✍️ دوره جدید سبزلرن: آموزش سواد شغلی برای برنامهنویسان
بلد بودن برنامهنویسی، فقط بخشی از مسیر حرفهای شدنه! برای پیدا کردن شغل مناسب، گرفتن پروژه و افزایش درآمد، باید بتونی مهارتهات رو درست معرفی کنی و با بازار کار و فرصتهای شغلی آشنا باشی.
توی این دوره یاد میگیری چطور دانش فنی خودت رو به فرصتهای شغلی و درآمدی تبدیل کنی و مسیر حرفهای مشخصتری برای خودت بسازی. 🚀
💎 بخشی از مباحث دوره:
🟢 شناخت بازار کار و ان…
📸 چطور از کل یک صفحه وب اسکرینشات بگیریم؟
حتما برات پیش اومده بخوای از یه صفحه طولانی سایت اسکرینشات بگیری، اما هر بار فقط بخشی از صفحه ذخیره بشه! 🧐
برای این کار نیازی نیست چندتا اسکرینشات جدا بگیری. با ابزار GoFullPage میتونی از کل صفحه، از بالای سایت تا انتهای اون، یک اسکرینشات کامل بگیری و بهصورت تصویر یا PDF ذخیرهاش کنی.
کافیه افزونه رو روی مرورگرت نصب کنی، وارد صفحه موردنظر بشی و روی آیکونش کلیک کنی.…
✔️ دوره جدید سبزلرن: آموزش تست نرمافزار و تستنویسی در Node.js
توسعه یک نرمافزار فقط به نوشتن کد و پیادهسازی امکانات اون محدود نمیشه؛ تستنویسی هم نقش مهمی در شناسایی خطاها، افزایش کیفیت کد و اطمینان از عملکرد صحیح برنامه داره.
توی این دوره یاد میگیری چطور با ابزارها و فریمورکهای مختلف Node.js، بخشهای مختلف برنامه و APIها رو تست کنی و کدهایی قابل اعتماد و قابل نگهداری بنویسی. 🚀
💎 بخشی از مباحث دوره:
🟢 مب…
ریپازیتوری Awesome UX؛ مجموعهای از منابع کاربردی برای یادگیری UX 📃
اگر به طراحی رابط کاربری و تجربه کاربری علاقه داری یا میخوای توی این حوزه حرفهایتر بشی، این ریپو ارزش یه نگاه رو داره. 👀
توی این ریپازیتوری مجموعهای از منابع مرتبط با UX جمع شده که میتونه برای یادگیری، آشنایی با مفاهیم طراحی و پیدا کردن ابزارها و منابع مفید بهت کمک کنه. ⬇️
🔗 لینک مشاهده ریپازیتوری
📌فرقی نمیکنه تازه وارد دنیای UI/UX شده ب…
⚙️ دوره جدید سبزلرن: آموزش سئو تکنیکال برای برنامهنویسان (Technical SEO)
توسعه یک وبسایت فقط به پیادهسازی ظاهر و امکانات اون محدود نمیشه؛ ساختار فنی سایت هم نقش مهمی در دیدهشدنش در موتورهای جستوجو داره.
توی این دوره یاد میگیری چطور از همون مرحله توسعه، استانداردهای سئو تکنیکال رو رعایت کنی و مشکلات فنی مؤثر بر عملکرد و رتبه سایت رو شناسایی و برطرف کنی. 🔥
💎 بخشی از مباحث دوره:
🔵 مبانی سئو و زیرساخت وب
🔵 مع…
اطلاعیه
سبزلرن هیچگونه فعالیت رسمی در پلتفرمهای داخلی نداشته و نخواهد داشت.
موضع ما در قبال این پلتفرمها روشن است و هیچگونه همکاری یا حضور رسمی در آنها را به رسمیت نمیشناسیم.
هرگونه کانال یا صفحه منتسب به سبزلرن در این پلتفرمها، جعلی و فاقد اعتبار است.
🧩 دوره جدید سبزلرن: آموزش استراتژی دیجیتال مارکتینگ
فعالیت در کانالهای دیجیتال بهتنهایی برای موفقیت یک کسبوکار کافی نیست؛ باید بدونی مخاطبت کیه، چه هدفی داری و چطور منابع و بودجه بازاریابی رو مدیریت کنی.
توی این دوره یاد میگیری چطور برای یک کسبوکار، استراتژی دیجیتال مارکتینگ تدوین کنی و فعالیتهای بازاریابی رو به یک برنامه مشخص و قابلاندازهگیری تبدیل کنی. 🚀
💎 بخشی از مباحث دوره:
🟣 تحلیل وضعیت کسبوکار، با…
🎨 ChartDB؛ ساخت نمودار گرافیکی از دیتابیس
وقتی تعداد جدولهای دیتابیس زیاد میشه، فهمیدن ارتباط بین اونها میتونه سخت باشه؛ مخصوصاً وقتی وارد پروژهای میشی که خودت طراحیاش نکردی!
با ChartDB میتونی ساختار دیتابیس رو بهصورت نمودار گرافیکی ببینی، ارتباط جدولها رو بررسی کنی و حتی ساختار دیتابیس رو ویرایش یا خروجی SQL دریافت کنی. از دیتابیسهایی مثل MySQL، PostgreSQL و SQLite هم پشتیبانی میکنه. 👨💻
🔗 لینک م…
👩💻 دوره جدید سبزلرن: آموزش جامع FastAPI با پایتون
اگه با پایتون برنامهنویسی میکنی و میخوای وارد دنیای توسعه بکاند بشی، یادگیری FastAPI میتونه قدم بعدی مسیرت باشه! 🚀
توی این دوره یاد میگیری چطور با FastAPI یک پروژه بکاند واقعی رو از صفر طراحی و پیادهسازی کنی.
💎 بخشی از مباحث دوره:
🟢 طراحی REST API و اعتبارسنجی دادهها
🟢 کار با PostgreSQL و SQLAlchemy
🟢 احراز هویت با JWT و مدیریت کاربران
🟢 معماری نرمافزا…
چطور برای تسکی زمان تخمین بزنیم، وقتی هنوز جزئیاتش رو نمیدونیم؟
یکی از اشتباهات رایج برنامهنویسها اینه که بهمحض شنیدن شرح یک قابلیت، سریع یک زمان اعلام میکنن؛ مثلاً «این کار دو روزه جمع میشه!» اما وقتی وسط کار به وابستگیها، باگها یا جزئیات پیشبینینشده میرسن، تخمین اولیه بههم میریزه.
برای تخمین واقعبینانه، لازم نیست از همون اول همهچیز رو بدونی؛ باید مشخص کنی چه چیزهایی رو میدونی و چه چیزهایی هنوز مبه…
👍11🔥3❤1
Signed Shahram Khandagi
Showing the 12 most recent of 119 posts we hold for @sabzlearn. 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.
Posts edited after publishing
@sabzlearn edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
4 November 2026
Most recent edit
4 November 2026
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 22 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.
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.
Top Learn | تاپ لرن @top_learn · 19,313 Telegram ranks this channel #5 of 89 here — alongside 88 others — read 1 October 2026
Html and Css & Jsآموزش @htmlcss_channels · 22,660 Telegram ranks this channel #14 of 86 here — alongside 85 others — read 19 September 2026
Λ/Organizaτiοn @AOrgan · 49,947 Telegram ranks this channel #15 of 63 here — alongside 62 others — read 24 August 2026
هوش مصنوعی از صفر تا درآمد @mohsenmodhejaip · 45,666 Telegram ranks this channel #23 of 82 here — alongside 81 others — read 26 August 2026
آموزش برنامه نویسی و طراحی سایت - سورس ایران @sourceiran · 20,886 Telegram ranks this channel #27 of 82 here — alongside 81 others — read 24 September 2026
برنامه نویسی | Programming @Azad_Developers · 37,451 Telegram ranks this channel #33 of 88 here — alongside 87 others — read 31 August 2026
آموزش <HTML> </HTML> @HTML_Developers · 27,384 Telegram ranks this channel #34 of 85 here — alongside 84 others — read 10 September 2026
Programming <-> برنامه نویسی @Amozesh_4u · 29,174 Telegram ranks this channel #35 of 66 here — alongside 65 others — read 13 September 2026
آموزش انگلیسی به روش زبان مادری @hamidrezasotoudeh98 · 74,724 Telegram ranks this channel #37 of 89 here — alongside 88 others — read 20 August 2026
برنامه نویسی | پایتون @Pythoni_Developers · 75,441 Telegram ranks this channel #43 of 82 here — alongside 81 others — read 19 August 2026
آموزش اکسل | Ms Excel @VBA_Excel · 102,797 Telegram ranks this channel #51 of 92 here — alongside 91 others — read 15 August 2026
مهندسی کامپیوتر @maghalecomputer · 60,409 Telegram ranks this channel #55 of 85 here — alongside 84 others — read 22 August 2026
آموزش کامپیوتر @WorldCodeLists · 30,764 Telegram ranks this channel #57 of 75 here — alongside 74 others — read 7 September 2026
Crypto Insights Hub @majale_digital · 65,154 Telegram ranks this channel #61 of 85 here — alongside 84 others — read 1 September 2026
Poyot Academy @poyotacademy · 27,045 Telegram ranks this channel #65 of 85 here — alongside 84 others — read 19 September 2026
اکوتوپیا @pouriabakhtiari · 23,444 Telegram ranks this channel #94 of 97 here — alongside 96 others — read 17 September 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“آموزش برنامه نویسی | سبزلرن” (@sabzlearn), 18,547 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/sabzlearn.
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.