Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 94% 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
29 measurements spanning 35 days, net +15,071. 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 55,575–75,168 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
11 Sept 2026, 01:36
72,907
+1,938
8 Sept 2026, 02:55
70,969
+455
4 Sept 2026, 23:20
70,514
+289
3 Sept 2026, 08:58
70,225
+205
1 Sept 2026, 23:55
70,020
+205
31 Aug 2026, 23:26
69,815
+193
30 Aug 2026, 23:44
69,622
+360
30 Aug 2026, 00:35
69,262
+388
29 Aug 2026, 00:26
68,874
+1,055
28 Aug 2026, 00:15
67,819
+710
27 Aug 2026, 03:34
67,109
+472
26 Aug 2026, 03:44
66,637
+714
25 Aug 2026, 04:33
65,923
+2,069
23 Aug 2026, 21:46
63,854
+605
22 Aug 2026, 07:27
63,249
+882
20 Aug 2026, 19:11
62,367
+198
19 Aug 2026, 17:28
62,169
+176
18 Aug 2026, 15:23
61,993
+168
17 Aug 2026, 15:15
61,825
+317
16 Aug 2026, 07:54
61,508
first reading
Engagement
71 posts held, back to 24 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 75 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.8%
avg views ÷ 72,907 subscribers
Avg views / post
10,100
48 posts measured
Reaction rate
0.699%
reactions ÷ views · ER floor
Posts in window
49
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 September 2026
Posts held
71 (24 July 2026 – 10 September 2026)
Views total
484,520
Reactions total
3,385
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Sept 2026, 09:06 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
354
Videos
148
Links
344
Lifetime counters from Telegram’s own channel header, read 11 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
30m 24s
Average length
2m 10s
Measured directly from 14 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
5,633 reactions across 70 posts, in 16 distinct kinds. The most used accounts for 59.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,347
59.4%
👍
1,322
23.5%
🔥
332
5.89%
👏
209
3.71%
👌
89
1.58%
😍
86
1.53%
😁
60
1.07%
🙏
48
0.852%
👎
35
0.621%
🤯
27
0.479%
🥰
23
0.408%
😐
15
0.266%
🤣
13
0.231%
👀
12
0.213%
😱
11
0.195%
🤔
4
0.071%
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 70 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 5,633 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 24 July 2026 to 10 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.
اینم همون پرامپتی که توی ویدیوی امشب گفتم 👇
«پرامپت پیشنهاد استایل با ChatGPT»
عکستون رو به همراه این پرامپت برای ChatGPT بفرستید 😀
بعد بهتون پیشنهاد میده چه مدل مو، عینک، لباس، رنگ و استایلی بیشتر بهتون میاد و چه چیزایی رو میتونید بهتر کنید.
نمونه خروجی رو هم توی عکس بالا میتونید ببینید 👆
🔗 دریافت پرامپت
حدود سه هفتهست دارم از ChatGPT Work استفاده میکنم و واقعا فرقش با چت معمولی رو حس کردم.💭
فرق اصلیش اینه که میتونی یه کار کامل رو بسپری دستش و آخرش خروجی آماده بگیری. مثلا:
🛑 یه پروژه کامل با چندتا فایل بسازه، فایلها و assetهای لازم رو آماده کنه و آخرش همهچی رو مرتب تحویل بده.
🛑 یه فولدر کامل از کامپیوترت رو بهش بدی تا فایلها رو بخونه، مرتب کنه یا حتی اطلاعاتشون رو داخل فایلهای دیگه وارد کنه.
🛑 یه ویدیوی طو…
این چند روز چند نفر درباره قابلیت Work چتجیپیتی ازم پرسیدن 📱
اگه دوست دارید امروز یکم بیشتر در موردش بگم و چندتا کاربرد واقعیش رو نشون بدم، یه ریاکشن بزنید ببینم چند نفرید 💚
اگه دوست دارید ببینید توی دهه ۱۹۸۰ چه شکلی بودید این ترند ChatGPT رو امتحان کنید 👀
فقط عکستون رو به ChatGPT بدید و با این پرامپت میتونید نسخه دهه ۱۹۸۰ خودتون رو بسازید:
⛓ پرامپت ساخت عکس دهه ۱۹۸۰
یه نکته: برای اینکه خروجی فقط شبیه یک فیلتر قدیمی نشه میتونید آخر پرامپت استایلهای مختلف اضافه کنید:
🤍 Polaroid style
📼 VHS style
📲 Retro camera style
🌟 1980s magazine style
با تغییر همین کلمات، حس و حال عکس هم کاملا تغی…
چتجیپیتی یه آپدیت مهم برای ساخت و ادیت عکس منتشر کرده 💭
مدل جدید GPT Image 2.5 علاوه بر کیفیت بهتر تصاویر، کنترل بیشتری روی ساخت و تغییر عکسها میده.
چندتا تغییر مهم:
🔵 ادیت دقیقتر بخشهای مختلف تصویر، با ثبات بیشتر نسبت به عکس اصلی
🔵 حفظ بهتر چهره و کاراکتر هنگام چند بار تغییر دادن تصویر
🔵 امکان تبدیل یک طرح ساده به تصویر نهایی با کمک Sketch
🔵 درک بهتر متن داخل تصویر و ساخت پوسترهای دقیقتر
یعنی حالا میتونید …
ثبتنام دوره «جهش با هوش مصنوعی» به پایان رسید.
از همه تون که بهم اعتماد کردید و وارد این مسیر شدید واقعا ممنونم💚
تمام تلاشم رو میکنم که با آموزشها و آپدیتهایی که در ادامه میاد، جواب این اعتمادتون رو بدم ✅
این پیام رو یکی از بچههایی که امروز ثبتنام کرده برام فرستاد 🥹
اینکه آموزشها ساده و روون باشه، دقیقا یکی از مهمترین چیزایی بود که موقع ضبط دوره خیلی حواسم بهش بوود
توضیحات کامل ثبتنام رو از اینجا ببینید 👇🏻
لینک پیام ثبتنام 👉
برای استفاده از آموزشهای دوره واقعا باید کلی اشتراک ابزارهای هوش مصنوعی بخریم؟ 🤔
توی این وویس جواب پرتکرارترین سوال امروز رو دادم و یه نکته مهم تر هم گفتم که به نظرم حتما باید بدونید
👆
این وضعیت پیامها فقط ۸ دقیقه بعد از شروع ثبتنام بود 😅💚
ممنونم بابت این همه اعتماد.
اگه رسید فرستادید خیالتون راحت، پیامها بهترتیب بررسی میشه 🙏
اگه تصمیمتون رو گرفتید، ثبتنام رو نذارید برای ساعتای آخر چون ظرفیت محدوده.
🔴ثبتنام دوره «جهش با هوش مصنوعی» به پایان رسید.
توی این دوره فقط ابزارها رو معرفی نمیکنم؛ یاد میگیرید واقعاً از هوش مصنوعی توی کار و زندگی استفاده کنید.
🟢 دسترسی همیشگی
🟢 ۶ ماه پشتیبانی داخل کانال VIP
🟢 آپدیتهای آینده بهصورت رایگان
🟢 پرامپتها و چکلیستهای کاربردی
قیمت اصلی دوره: ۴,۹۰۰,۰۰۰ تومان ⛔️
قیمت ویژه ثبتنام: ۲,۷۰۰,۰۰۰ تومان✅
⛔مهلت ثبتنام تموم شده و در حال حاضر امکان واریز و ثبتنام وجود نداره.
❤22🔥4😍3
Showing the 12 most recent of 71 posts we hold for @pixellineatm. 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
@pixellineatm 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
3 September 2026
Most recent edit
9 September 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.
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 6 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.
GiG4D @gigs4d · 31,322 Telegram ranks this channel #44 of 79 here — alongside 78 others — read 6 September 2026
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.
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“Pixellinea | هوش مصنوعی” (@pixellineatm), 72,907 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/pixellineatm.
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.