Technology — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 why it has no browse page of its own yet.
Growth
34 measurements spanning 50 days, net +1,611. 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 30,333–32,428 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
25 Sept 2026, 09:40
32,186
+192
17 Sept 2026, 06:56
31,994
+27
15 Sept 2026, 04:38
31,967
+10
13 Sept 2026, 16:01
31,957
+45
11 Sept 2026, 21:59
31,912
+78
9 Sept 2026, 12:40
31,834
+75
6 Sept 2026, 08:39
31,759
+87
3 Sept 2026, 22:21
31,672
+32
2 Sept 2026, 14:03
31,640
+28
1 Sept 2026, 11:55
31,612
+45
31 Aug 2026, 11:55
31,567
+25
30 Aug 2026, 13:54
31,542
+16
29 Aug 2026, 12:28
31,526
+41
28 Aug 2026, 10:57
31,485
+56
27 Aug 2026, 08:03
31,429
+20
26 Aug 2026, 05:28
31,409
+12
25 Aug 2026, 06:12
31,397
+13
24 Aug 2026, 04:24
31,384
+16
22 Aug 2026, 15:05
31,368
+34
21 Aug 2026, 08:24
31,334
first reading
Engagement
460 posts held, back to 4 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 83 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.8%
avg views ÷ 32,186 subscribers
Avg views / post
4,760
191 posts measured
Reaction rate
0.847%
reactions ÷ views · ER floor
Posts in window
191
of 460 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 26 September 2026
Posts held
460 (4 August 2026 – 26 September 2026)
Views total
908,253
Reactions total
7,690
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 20:28 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
≈5,400
Videos
≈437
Links
≈5,310
Lifetime counters from Telegram’s own channel header, read 26 September 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.
Video runtime
2h 16m
Average length
4m 33s
Measured directly from 30 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
18,592 reactions across 443 posts, in 6 distinct kinds. The most used accounts for 27.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,055
27.2%
🍌
4,668
25.1%
👍
4,524
24.3%
🔥
2,131
11.5%
👎
1,630
8.77%
💔
584
3.14%
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 460 of the 460 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 19,356 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 460 most recent posts we hold, published 4 August 2026 to 26 September 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.
Telegram Stars
Stars received
30
across the posts below
Posts paid on
12
of 460 we hold a reading for · 3%
Most on one post
17
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @devtwitter. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 460 most recent posts we hold for this entry, published 4 August 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
من از کودکی همیشه از کار با TUIها شگفتزده میشدم. این claude-cli هم همیشه برام جالب بوده که بدونم چهطوری کار میکنه. طیِ یه مقداری سرچ به این کتابخونهی خیلی جالب رسیدم:
https://github.com/vadimdemedes/ink
این کتابخونه کدِ React شما رو به محیطِ ترمینالی ترجمه میکنه! شبیهِ معجزهست.
@DevTwitter | <مهمونِ خونسرد/>
این پروژه یه سرویس کامل برای راهاندازی Meet و Webinar.
میتونی پلن های مختلف با محدودیت های مختلف ارائه بدی
تقریبا همه فیچرهاش پیاده سازی شده فقط درگاه پرداخت مونده
Video، Audio، Screen Share، Chat، Guest Join، Public/Private Room و ابزارهای مدیریت جلسه، Forget password
https://github.com/MiladJoodi/MeetCast
@DevTwitter | <JooD/>
🔥 بین مدل ML و یه محصول واقعی، یه مسیر مهم وجود داره: MLOps.
✔️ ساختن یه مدل خوب تازه شروع ماجراست؛ چالش اصلی اینه که چطور اون مدل رو تبدیل کنیم به یه سیستم واقعی که بشه بهش اعتماد کرد و توی Production ازش استفاده کرد.
🧑💻 توی مینیکمپ MLOps کوئرا یاد میگیری چطور این فاصله رو پر کنی؛ از ساخت Pipeline و مدیریت مدلها تا Deploy، مانیتورینگ و اجرای یک سیستم ML واقعی با ابزارهایی مثل Git، Airflow، MLflow، FastAPI، Doc…
یجا درمورد dsl خوندم یاد dsl خودم افتادم که تو عصر gpt-4o ساختم برای tool call های موازی و تو در تو و واقعا دقت رو شدیدا بهبود میداد
کلا query language جالبی بود
https://github.com/MSNP1381/shonql
@DevTwitter | <نعمت/>
کدهای پرشتاب | Go؛ از یک ترند تازه تا رقابت با زبانهای بزرگ💥
📍ایونت آنلاین و رایگان
اخیرا زبان GO به یکی از زبانهای مورد توجه تو دنیای برنامهنویسی تبدیل شده؛ زبانی که با تمرکز روی سرعت، سادگی و عملکرد بالا در پروژههای مدرن جایگاه ویژهای پیدا کرده.
اما چرا Go اینقدر مورد توجه قرار گرفته⁉️
در این ایونت درباره:
🔹 دلیل شکلگیری Go و ویژگیهای مهم آن
🔹 کاربردهای واقعی این زبان در پروژهها
🔹 مسیر یادگیری و ورود به …
اتفاقاً منم دقیقاً لایا رو بردم زیر فشار تست بنچمارک سنگین! انداختمش جای مغز متفکر یه بازی جنگی مار تاکتیکی با پهپادهای دشمن و سیستم شلیک لیزر
روی GPU با تاخیر زیر ۵۰ میلیثانیه بهترین تصمیم بقا و شلیک رو میگیره. کد و دمو رو کاملاً اوپنسورس منتشر کردم:
https://github.com/IrMaho/laya-snake-ai
@DevTwitter | <ماهو/>
شما رو نمی دونم ولی از دیروز که qoder مدل qwen3.8 flash رو مجانی کرده
رفتم oh my pi رو نصب کردم روش اینو github.com/jischeng/pi-provider-qoder نصب کردم
الان دارم با 5 تا اکانت مختلف از دیشب تا الان پروژه هام رو کد می زنم
فکر کنم تا الان 3 ملیارد توکن مصرف کردم تا اخر این هفته هست گمونم !!!
@DevTwitter | <raa's/>
⚠️ فقط تا 4 مهر ⚠️
دورهی آموزش زبان با فرندز، رایگان از طرف لینگانو.
✅ سطح دوره: از پایه تا پیشرفته
✅ 40 جلسه آموزشی
✅ به زبان فارسی و انگلیسی
✅ دسترسی مادامالعمر به دوره
✅ قابل استفاده در موبایل و لپتاپ
ظرفیت محدوده، همین الان روی لینک زیر کلیک کن.
👇👇👇👇👇👇👇
🎁 دریافت رایگان مینی دوره انگلیسی با سریال FRIENDS
Showing the 12 most recent of 460 posts we hold for @devtwitter. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 33 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 5 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Quera @quera_ir · 25,521 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 14 September 2026
Linuxor ? @Linuxor · 31,557 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 7 September 2026
جادی پایتون | Jadi Python fans @jadi_fans · 43,699 Telegram ranks this channel #2 of 75 here — alongside 74 others — read 28 August 2026
ویکی تجربه - استخدام و بررسی شرکت ها @wiki_tajrobe · 82,561 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 18 August 2026
جادی | Jadi @jadivarlog · 103,048 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 15 August 2026
Milad Nouri(ツ) میلاد نوری @miladnourichannel · 27,338 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 10 September 2026
برنامه نویسی | Programming @Azad_Developers · 38,012 Telegram ranks this channel #4 of 88 here — alongside 87 others — read 31 August 2026
DLeX: AI Python @ai_python · 21,397 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 23 September 2026
Kooshiar @kooshiar3 · 25,799 Telegram ranks this channel #6 of 93 here — alongside 92 others — read 14 September 2026
کالی بویز | ترفند | تکنولوژی @Kaliboys · 28,748 Telegram ranks this channel #6 of 77 here — alongside 76 others — read 9 September 2026
CE Tweet | News @UT_twCE · 30,890 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 6 September 2026
• AI & Python • @AIPyth0n · 22,084 Telegram ranks this channel #7 of 66 here — alongside 65 others — read 21 September 2026
کتابخانه مهندسی کامپیوتر و پایتون @programmers_street · 30,957 Telegram ranks this channel #10 of 87 here — alongside 86 others — read 6 September 2026
هوش مصنوعی |یادگیری ماشین| علم داده @Ai_Tv · 26,564 Telegram ranks this channel #13 of 94 here — alongside 93 others — read 12 September 2026
اخبار هوش مصنوعی @Ai_NewsTv · 27,479 Telegram ranks this channel #13 of 88 here — alongside 87 others — read 10 September 2026
Job Finding | Search for your job @jobs_finding · 20,600 Telegram ranks this channel #14 of 95 here — alongside 94 others — read 26 September 2026
برنامه نویسی | پایتون @Pythoni_Developers · 75,348 Telegram ranks this channel #14 of 82 here — alongside 81 others — read 19 August 2026
متخصص وردپرس | پوینا @poinair · 27,955 Telegram ranks this channel #15 of 78 here — alongside 77 others — read 10 September 2026
پکیج رایگان | پابلیک پکیج | اموزش رایگان | Free learning @faketic · 23,390 Telegram ranks this channel #18 of 53 here — alongside 52 others — read 18 September 2026
تکنولوژی،خبری،هوش مصنوعی، @ITSecurityComputer · 174,682 Telegram ranks this channel #20 of 71 here — alongside 70 others — read 12 August 2026
KhashayarTalks @khashayartalks · 79,456 Telegram ranks this channel #23 of 95 here — alongside 94 others — read 19 August 2026
هنر ایده خلاقیت @upcyclingidea · 25,084 Telegram ranks this channel #25 of 67 here — alongside 66 others — read 15 September 2026
کنکور ارشد کامپیوتر @Konkurcomputer · 50,456 Telegram ranks this channel #25 of 88 here — alongside 87 others — read 25 August 2026
Programmer Jokes @programmerjokes · 106,959 Telegram ranks this channel #25 of 90 here — alongside 89 others — read 15 August 2026
This channel appears in 151 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“DevTwitter | توییت برنامه نویسی” (@devtwitter), 32,186 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/devtwitter.
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.