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 8 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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
7 measurements spanning 6 days, net -5,425. 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 939,966–947,019 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 19:57
940,780
-884
11 Aug 2026, 21:12
941,664
-1,137
10 Aug 2026, 22:33
942,801
-949
9 Aug 2026, 23:31
943,750
-909
8 Aug 2026, 23:51
944,659
-927
7 Aug 2026, 23:55
945,586
-619
7 Aug 2026, 04:30
946,205
first reading
Engagement
30 posts held, back to 26 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
7.01%
avg views ÷ 940,780 subscribers
Avg views / post
65,900
30 posts measured
Reaction rate
0.097%
reactions ÷ views · ER floor
Posts in window
30
of 30 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 12 August 2026
Posts held
30 (26 July 2026 – 12 August 2026)
Views total
1,977,201
Reactions total
1,921
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 17:35 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
30s
Average length
15s
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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
1 most recently posted, with a view-velocity reading
60 minutes: 4,594 interp. → 3.0 hours: 9,020still climbing at last reading
not yet at 24h
58 minutesprovisional — final view count still climbing
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed viewsis the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
1,921 reactions across 30 posts, in 9 distinct kinds. The most used accounts for 85.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,642
85.5%
👍
115
5.99%
🥰
55
2.86%
👌
37
1.93%
🙏
19
0.989%
🔥
18
0.937%
🤯
17
0.885%
👏
15
0.781%
😍
3
0.156%
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 30 of the 30 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 1,921reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 26 July 2026 to 12 August 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.
پرامپت پرتره عکاسی سینمایی در ساحل
🌊
نمای کلوزآپ و بسیار نزدیک از چهرهی عکس رفرنس و حفظ هویت چهره که ز میان آب شفاف و آبیرنگ دریا بیرون میآید. موهای خیس او با دست به سمت عقب کشیده شده و قطرات آب روی صورت، موها و پوستش دیده میشوند. پوست کاملاً طبیعی و دارای بافت واقعی، منافذ و جزئیات ظریف باشد.
مرد مستقیماً به دوربین نگاه میکند؛ نگاهش مطمئن، نافذ و کمی جسورانه است. حالت چهره طبیعی و جدی باشد و تمام جزئیات صورت…
پرامپت دخترونه گندمزار
🌾
یک پرتره هنری، فضاساز و کاملاً فوتورئالیستی از یک زن ایجاد کنید، بدون هیچ تغییری در ویژگیهای چهره. فرم صورت، چشمها، بینی، لبها، ابروها و هویت چهره باید دقیقاً مطابق تصویر مرجع حفظ شوند.
پرتره بهصورت کلوزآپ از زنی که به حالت چمباتمه در میان دشتی از علفهای بلند، خشک و طلایی نشسته است. علفها تا روی شانههای او امتداد دارند و حس غوطهور بودن در طبیعت را ایجاد میکنند. بخشی از علفهای پی…
پرامپت پسرونه با افکت محوشدگی
پرترهٔ سینمایی فوقواقعگرایانه و تکرنگ از یک مرد جوان طبق عکس رفرنس و حفظ هویت چهره ، در حالی که یک تیشرت ساده و مشکی با فرم اورسایز پوشیده است. نیمهٔ راست صورت کاملاً واضح و با جزئیات بسیار دقیق باقی مانده با نگاه نافذ و عمیق و جدی در حالی که نیمهٔ چپ صورت به شکلی ظریف و هنرمندانه به یک تاری حرکتی افقی تبدیل شده که از رگههایی به رنگ نقرهای، سفید و خاکستری زغالی تشکیل شده است. نو…
پرامپت عکس پرتره پسرونه
🖤
A cinematic, portrait of a man sitting outdoors in warm golden-hour sunlight. He has messy hair and a well-groomed beard. He is wearing black rectangular sunglasses and a textured black knit sweater. His pose is relaxed and confident, with one arm bent and resting behind his head, exposing the side of his face and neck.
The lighting is strong and directional, casting sharp, dramatic shad…
پرامپت پرتره فشن ادیتورال
Cinematic studio portrait of a confident young woman wearing stylish beige framed smart glasses with subtle blue-tinted lenses, featuring a visible integrated camera lens on the outer corner and a Rayban logo on the temple and a black leather jacket with a high collar. She is slightly turned to the side, looking intensely toward the camera. Soft studio lighting with dramatic shadows, neut…
پرامپت پرتره عکس کاپلی
❤️
نمای متوسط (Medium Shot) با دوربین همسطح چشم، شامل نیمتنهٔ کامل هر دو نفر. یک زوج طبق عکس رفرنس و حفظ هویت چهره ها در آغوش یکدیگر ایستادهاند و با نگاهی عاشقانه به چشمان هم نگاه میکنند. صحنه در یک باغ با دیوار آجری و پوشش خیلی کم گیاهی سبز در پسزمینه قرار دارد. عمق میدان کم و پسزمینه بهصورت نرم و طبیعی محو شده است، با شبیهسازی مشخصات لنز ۸۵ میلیمتری f/1.8.
نور طبیعی و گرم ساعت ط…
پرامپت پسرونه چهره از نیمه با نور طبیعی
یک پرتره هنری، فوقواقعگرایانه و سینمایی از یک مرد جوان، طبق عکس رفرنس با حفظ کامل هویت، ویژگیهای چهره به تصویر مرجع.
سوژه از زاویهای کاملاً نیمرخ (Extreme Side Profile) ثبت شده است؛ بهگونهای که تنها یک چشم و بخشی از بینی از دل تاریکی نمایان باشند. دوربین بسیار نزدیک به سوژه قرار گرفته تا حس فشردگی پرسپکتیو (Compression Effect) ایجاد شود و تمام تمرکز بیننده بر جزئیات چ…
پرامپت عکس لایف استایل ادیتورال
یک عکس فوتورئال و بسیار باکیفیت به سبک عکاسی فشن ادیتوریال و لایفاستایل لوکس از [شخص موردنظر طبق عکس رفرنس و حفظ هویت چهره ] در یک کافه مدرن و مینیمال شهری.
شخصیتی [سن] ساله با [رنگ پوست]، [رنگ و مدل مو]، [ویژگیهای چهره] و آرایش [طبیعی / ملایم / بدون آرایش] دیده میشود.
او لباسی شیک و مینیمال به رنگ [رنگ لباس] پوشیده است؛ شامل [توضیح لباس، مثلاً مانتوی بلند، کت، پیراهن، دامن و...…
پرامپت پرتره پسرونه استریت استایل
یک فتوشوت لوکس و سطحبالای مد در خیابانی شلوغ در شهر، با کادر عمودی (Portrait Orientation).
سوژه، یک مدل مرد طبق عکس رفرنس و حفظ هویت چهره بینالمللی است که با اعتمادبهنفس در حال قدم زدن است و دقیقاً مانند یک سوپرمدل حرفهای ژست گرفته است. حالت چهره آرام، مقتدر و باوقار باشد. نگاه او کمی از کنار دوربین عبور کند و تماس چشمی کنترلشده و طبیعی ایجاد کند.
استایل لباس:
پالتوی بلند …
پرامپت پرتره بوهو با نور طبیعی و سایه های توری
✨
از تصویر مرجعِ بارگذاریشده تنها بهعنوان مرجع هویت چهره استفاده کنید. هویت و آناتومی دقیق چهرهٔ فرد را کاملاً حفظ کنید؛ از جمله فرم صورت، پیشانی، استخوانهای گونه، خط فک، چانه، فرم بینی، سوراخهای بینی، لبها، فرم چشمها، رنگ چشمها، فرم ابروها، ساختار پلکها، رنگ پوست، ککومکها، عدم تقارنهای طبیعی و تناسبات کلی چهره. چهره را تغییر ندهید، زیباتر نکنید، بازطراحی نک…
پرامپت پسرونه پرتره استریت استایل
🖤
یک عکس سیاهوسفید با کادری متوسط و زاویهای از پایین، مردی جوان طبق عکس رفرنس و حفظ هویت چهره مدل را در فضای باز و در شب به تصویر میکشد.
او با ظاهری شیک و رسمی، کتوشلواری مشکی و خوشدوخت به همراه پیراهن سفید رسمی به تن دارد که دکمههای یقهٔ آن برای ایجاد حسی راحت و غیررسمی باز گذاشته شدهاند. ظاهر او ترکیبی از وقار، جذابیت و حالوهوایی مرموز و سینمایی را القا میکند.
او سیگا…
پرامپت پسرونه پرتره سینمایی
Create this image a handsome young man, usinary rocenthis image. He photographed in an atmospheric, lowlight setting. He is looking to his right; introverted expression, he has
a
thoughtful his lips slightly parted. He is wearing thin-framed, round glasses and a light-colored - possibly off-white or light gray -crew-neck sweater. The scene is illuminated by dramatic, warm, golden or oran…
❤56👍2🔥2👏1
Showing the 12 most recent of 30 posts we hold for @Hoosha_ai. 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.
Citation-graph rank
Citation-graph rank — 228,425 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 1 registered channel — 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.
Domains linked from posts
3 domainsthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Hoosha AI - پرامپت” (@Hoosha_ai), 940,780 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Hoosha_ai.
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.