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 11 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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
25 measurements spanning 97 days, net +117. 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 9,302–9,461 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
10 Nov 2026, 22:54
9,437
-6
7 Nov 2026, 15:18
9,443
+3
4 Nov 2026, 14:37
9,440
+9
1 Nov 2026, 23:09
9,431
+8
27 Oct 2026, 04:21
9,423
+3
21 Oct 2026, 04:42
9,420
-8
17 Oct 2026, 23:05
9,428
+8
14 Oct 2026, 21:15
9,420
-1
11 Oct 2026, 15:59
9,421
-2
4 Oct 2026, 23:35
9,423
+19
25 Sept 2026, 13:02
9,404
+15
15 Sept 2026, 09:21
9,389
-3
11 Sept 2026, 13:19
9,392
+15
6 Sept 2026, 14:17
9,377
-4
2 Sept 2026, 09:11
9,381
-2
30 Aug 2026, 19:17
9,383
-5
27 Aug 2026, 17:34
9,388
+6
25 Aug 2026, 01:34
9,382
+16
21 Aug 2026, 21:04
9,366
+10
18 Aug 2026, 11:33
9,356
first reading
Engagement
71 posts held, back to 28 July 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.5%
avg views ÷ 9,437 subscribers
Avg views / post
1,460
32 posts measured
Reaction rate
0.426%
reactions ÷ views · ER floor
Posts in window
34
of 71 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 10 November 2026
Posts held
71 (28 July 2026 – 10 November 2026)
Views total
46,740
Reactions total
199
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 22:52 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
Video runtime
3m 22s
Average length
1m 41s
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
467 reactions across 65 posts, in 12 distinct kinds. The most used accounts for 36.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
170
36.4%
🔥
82
17.6%
😍
49
10.5%
👏
36
7.71%
👌
28
6.00%
🙏
24
5.14%
🎉
20
4.28%
👍
19
4.07%
🤩
19
4.07%
😁
10
2.14%
😢
7
1.50%
😱
3
0.642%
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 65 of the 71 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 467 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 71 most recent posts we hold, published 28 July 2026 to 10 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: 13 of 34 posts held from the last 30 days (38.2%) 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).
📊 دادهها همهجا هستن؛ اما ارزش واقعیشون وقتی معلوم میشه که بلد باشی چطور تحلیلشون کنی!
امروز در خیلی از کسبوکارها، تصمیمگیری فقط بر اساس حدس و تجربه کافی نیست. از رفتار کاربران و فروش گرفته تا عملکرد سیستمها و روندهای بازار، این دادهها هستن که میتونن تصویر دقیقتری از واقعیت به ما بدن.
🔹 اما سؤال اینجاست: چطور میشه از بین حجم زیادی از دادهها، الگوها و بینشهای کاربردی استخراج کرد؟
💻 توی دوره گام اول Data S…
🌐 وقتی ارتباط شبکه قطع میشه، میدونی مشکل رو از کجا پیدا کنی؟
در شبکههای کامپیوتری، فقط اتصال تجهیزات به هم کافی نیست! شناخت پروتکلها، نحوه انتقال دادهها و پیکربندی درست تجهیزات، نقش مهمی در راهاندازی و مدیریت یک شبکه پایدار داره.
🔹 از آدرسدهی IP و مفاهیم Routing و Switching گرفته تا مدیریت ترافیک و عیبیابی ارتباطات؛ CCNA یکی از مهمترین قدمها برای ورود تخصصی به دنیای شبکه و کار با تجهیزات Cisco محسوب میشه…
⌛ همهچیز وصله، اما شبکه کار نمیکنه!
چراغ پورتها روشنه، Ping جواب میده، تجهیزات هم ظاهراً بدون مشکل کار میکنن؛ اما کاربر همچنان به سرویس دسترسی نداره!
🔍 وقتی همهچیز درست به نظر میرسه، مشکل رو باید کجا پیدا کرد؟
توی ایونت رایگان «شبکه در بنبست» قراره سراغ خطاهایی بریم که پشت ظاهر سالم شبکههای Cisco پنهان میمونن؛ از اشتباهات رایج در پیکربندی تا چالشهای واقعی عیبیابی شبکه.
🔸 چرا Ping موفق همیشه به معنی سا…
🐍 پایتون رو بلدی؛ حالا وقتشه وارد دنیای حرفهای Backend بشی!
یادگیری سینتکس و مفاهیم پایه Python فقط شروع ماجراست! برای ورود به دنیای توسعه بکاند، باید بتونی کدهای ساختاریافته، قابل نگهداری و آماده برای پروژههای واقعی بنویسی.
💻 توی دوره Python Advanced: Backend Development Foundations کندو، مهارتهای برنامهنویسی پایتون رو به سطح بالاتری میرسونی و با مفاهیم و اصولی آشنا میشی که برای ورود به مسیر توسعه بکاند ضرو…
🌐 وقتی شبکه بزرگتر میشه، مدیریت مسیرها هم پیچیدهتر میشه!
در شبکههای سازمانی، فقط برقراری ارتباط بین تجهیزات کافی نیست! انتخاب مسیر مناسب برای انتقال دادهها، مدیریت ترافیک و حفظ پایداری ارتباطات، نقش مهمی در عملکرد شبکه داره.
🔹 اینجاست که Routing پیشرفته در MikroTik اهمیت پیدا میکنه؛ جایی که با استفاده از پروتکلهای مسیریابی پویا، میتونی شبکههای پیچیدهتر رو مدیریت کنی و ارتباطات پایدارتر و بهینهتری بسازی.
…
💻 هر وبسایتی که میبینی، از یه جایی شروع شده؛ HTML و CSS!
از طراحی ساختار صفحات وب گرفته تا رنگبندی، چیدمان و ساخت رابطهای کاربری جذاب، همهچیز از یادگیری اصول طراحی وب شروع میشه.
اما چطور میشه از چند خط کد به یک وبسایت حرفهای و واکنشگرا رسید؟ 🚀
توی دوره طراحی سایت با HTML & CSS کندو، از مفاهیم پایه شروع میکنی و قدمبهقدم یاد میگیری چطور صفحات وب رو طراحی کنی، بهشون استایل بدی و برای نمایش در موبایل و دسک…
⬇️فرصت شغلی برای دانشجویان توانمند و واجد شرایط کندو⬇️
کارشناس پشتیبانی فنی و مانیتورینگ |
Technical Support Specialist
شرکت عصر دادههای آسیاتک | Cloud.ir
📍 محل کار: تهران، عباسآباد (بهشتی)
🕐 ساعات کاری: شیفت گردشی (36-12)
شرح شغل و مسئولیتها:
ارائه پشتیبانی فنی به خدمات Cloud و Cloud Distribution
پاسخگویی و رسیدگی به درخواستهای مشترکین از طریق تیکت و تلفن
پایش و نظارت مستمر بر شبکه و زیرساخت مرکز داده با اس…
🤖 پرامپتنویسی فقط سؤال پرسیدن از هوش مصنوعی نیست!
چرا بعضیها از ابزارهای هوش مصنوعی خروجیهای دقیق و کاربردی میگیرن، اما بعضیها با همون ابزارها به نتیجه دلخواه نمیرسن؟
تفاوت، فقط در ابزار نیست؛ در نحوه تعامل با هوش مصنوعیه!
💡 توی دوره Prompt Engineering کندو یاد میگیری چطور با طراحی پرامپتهای هدفمند، خروجی مدلهای هوش مصنوعی رو دقیقتر، قابلکنترلتر و متناسب با نیازت کنی.
🎯 این دوره برای چه کسانی مناسبه؟
✅ …
🌐 از راهاندازی شبکه تا مسیریابی حرفهای با MikroTik!
مدیریت یک شبکه فقط به اتصال تجهیزات و تنظیم IP محدود نمیشه! برای داشتن یک شبکه پایدار و کارآمد، باید بتونی ترافیک رو مدیریت کنی، مسیرهای ارتباطی رو بهینهسازی کنی و مشکلات شبکه رو بهدرستی تشخیص بدی.
اما چطور میشه این مهارتها رو با تجهیزات MikroTik یاد گرفت و در شبکههای واقعی پیادهسازی کرد؟ 🔍
💻 توی پک جامع MTCNA & MTCRE کندو، از آشنایی با RouterOS و پیکربند…
🚨 اتفاقات مهم شبکه رو بین لاگها پیدا کن!
هر روز حجم زیادی داده و لاگ در شبکه تولید میشه؛ اما چطور میتونیم اطلاعات مهم رو بین اونها پیدا کنیم و ازشون برای شناسایی رویدادها کمک بگیریم؟
در دوره Splunk Fundamentals 1 & 2 یاد میگیریم چطور با اسپلانک دادهها رو جستوجو و تحلیل کنیم، داشبورد و گزارش بسازیم و برای رویدادهای مهم هشدار تعریف کنیم. 📊
💥امکان پرداخت اقساطی💥
👨🏻🏫 مدرس: مهندس سامان فخاری
💻 برگزاری بهصورت آن…
🗄 مدیریت دیتابیس فقط نوشتن Query نیست!
وقتی پای دیتابیسهای سازمانی وسط باشه، طراحی اصولی، امنیت اطلاعات، مدیریت دسترسیها و بازیابی دادهها بهاندازه نوشتن کوئری اهمیت دارن.
تو دوره SQL Server 2025 Pack یاد میگیری:
🔸 نصب و پیکربندی SQL Server
🔸 طراحی و مدیریت پایگاه داده
🔸 پیادهسازی تنظیمات امنیتی و مدیریت دسترسیها
🔸 تهیه Backup و اجرای عملیات Restore
🔸 کار با دستورات DDL و DML
🔸 آشنایی با Snapshot، RAID و قابل…
❤2👏1🔥1🤩1🙏1
Showing the 12 most recent of 71 posts we hold for @cando_ac. 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
@cando_ac edited 2 posts 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
8 November 2026
Most recent edit
10 November 2026
Posts recorded as deleted after publishing
We recorded 1 post on @cando_ac as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
3 November 2026
Most recent seen missing
3 November 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
1
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 93 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@cando_ac named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@candoac named in 1 post, 27 August 2026 – 27 August 2026
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.
مرجع آموزش زبان ایرانیان @irlanguagecom · 21,459 Telegram ranks this channel #35 of 83 here — alongside 82 others — read 25 September 2026
Mirbanki Estekhdam @mirbankiplus · 36,646 Telegram ranks this channel #58 of 84 here — alongside 83 others — read 1 September 2026
شبکه کاران @shabake_karan · 25,603 Telegram ranks this channel #70 of 82 here — alongside 81 others — read 14 September 2026
جابویژن | Jobvision | استخدام | کاریابی @jobvision · 59,175 Telegram ranks this channel #71 of 98 here — alongside 97 others — read 22 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“آموزشگاه کندو” (@cando_ac), 9,437 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/cando_ac.
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.