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Channel

Hoosha AI - پرامپت

@Hoosha_ai

On this record: Topic · Growth · Engagement · What this channel posts · View velocity · Reactions · Posts · Citations · Domains linked from posts · Cite this entry

899,360subscribers

-46,845 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1002294954185
TypeChannel
Username@Hoosha_ai
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 October 2026
Measurements held51
Confirmed unchanged1 time, most recently 27 October 2026
On Telegramt.me/Hoosha_ai

Topic

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 the other topics.

Growth

899,360946,205922,782.57 August 2026 — 946,205 subscribers7 August 2026 — 945,586 subscribers8 August 2026 — 944,659 subscribers9 August 2026 — 943,750 subscribers10 August 2026 — 942,801 subscribers11 August 2026 — 941,664 subscribers12 August 2026 — 940,780 subscribers13 August 2026 — 939,975 subscribers15 August 2026 — 938,739 subscribers16 August 2026 — 938,060 subscribers17 August 2026 — 938,146 subscribers18 August 2026 — 937,680 subscribers19 August 2026 — 937,077 subscribers20 August 2026 — 936,196 subscribers22 August 2026 — 935,414 subscribers23 August 2026 — 934,358 subscribers25 August 2026 — 933,597 subscribers26 August 2026 — 933,119 subscribers27 August 2026 — 932,441 subscribers28 August 2026 — 931,485 subscribers29 August 2026 — 930,781 subscribers30 August 2026 — 929,998 subscribers31 August 2026 — 929,218 subscribers1 September 2026 — 928,628 subscribers2 September 2026 — 928,009 subscribers3 September 2026 — 927,232 subscribers4 September 2026 — 926,740 subscribers7 September 2026 — 925,008 subscribers11 September 2026 — 926,943 subscribers13 September 2026 — 926,145 subscribers14 September 2026 — 925,577 subscribers16 September 2026 — 924,469 subscribers18 September 2026 — 923,190 subscribers25 September 2026 — 919,462 subscribers4 October 2026 — 913,795 subscribers8 October 2026 — 910,434 subscribers13 October 2026 — 908,085 subscribers14 October 2026 — 907,022 subscribers15 October 2026 — 906,572 subscribers16 October 2026 — 906,118 subscribers17 October 2026 — 905,439 subscribers18 October 2026 — 904,800 subscribers19 October 2026 — 904,097 subscribers20 October 2026 — 903,344 subscribers21 October 2026 — 902,629 subscribers22 October 2026 — 901,695 subscribers23 October 2026 — 901,008 subscribers24 October 2026 — 900,448 subscribers25 October 2026 — 900,141 subscribers26 October 2026 — 899,778 subscribers27 October 2026 — 899,360 subscribers7 August 202627 October 2026
51 measurements spanning 81 days, net -46,845. 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 892,333–953,232 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 51
Measured (UTC)SubscribersChange
27 Oct 2026, 13:35899,360-418
26 Oct 2026, 15:31899,778-363
25 Oct 2026, 13:44900,141-307
24 Oct 2026, 16:26900,448-560
23 Oct 2026, 16:56901,008-687
22 Oct 2026, 13:38901,695-934
21 Oct 2026, 07:40902,629-715
20 Oct 2026, 07:14903,344-753
19 Oct 2026, 09:58904,097-703
18 Oct 2026, 08:59904,800-639
17 Oct 2026, 10:17905,439-679
16 Oct 2026, 10:47906,118-454
15 Oct 2026, 10:36906,572-450
14 Oct 2026, 13:19907,022-1,063
13 Oct 2026, 03:50908,085-2,349
8 Oct 2026, 17:36910,434-3,361
4 Oct 2026, 05:39913,795-5,667
25 Sept 2026, 11:00919,462-3,728
18 Sept 2026, 21:57923,190-1,279
16 Sept 2026, 15:58924,469first reading

Engagement

147 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 168 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.75%
avg views ÷ 899,360 subscribers
Avg views / post
51,700
47 posts measured
Reaction rate
0.108%
reactions ÷ views · ER floor
Posts in window
47
of 147 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
WindowRolling 30 days · latest post in window 27 October 2026
Posts held147 (26 July 2026 – 27 October 2026)
Views total2,430,490
Reactions total2,633
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Oct 2026, 11:54 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
1m 36s
Average length
24s

Measured directly from 4 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
PostReadingsLatest readingCurve24h reachHalf of last-observed views by
/13267 Aug 2026, 09:10 UTC429 minutes – 3.1 hours old9,020 views ~12 reactions60 minutes: 4,594 interp. → 3.0 hours: 9,020still climbing at last readingnot yet at 24h58 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 views is 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

9,737 reactions across 145 posts, in 9 distinct kinds. The most used accounts for 82.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8,00582.2%
👍5715.86%
👌3103.18%
🔥2572.64%
🥰2562.63%
😍960.986%
👏910.935%
🙏890.914%
🤯620.637%

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 145 of the 147 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 9,737 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 147 most recent posts we hold, published 26 July 2026 to 27 October 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

27 Oct 2026, 11:03 UTC≈2,890 views6 reactionsread 27 October 2026
Photo

پرامپت عکس تولد بچگانه با استفاده از عکس مرجع کودک، یک عکس فوق‌واقع‌گرایانه از جشن تولد بساز. چهره، هویت، فرم صورت و ویژگی‌های طبیعی کودک کاملاً حفظ شوند. ژست و لباس: کودک روی یک صندلی چوبی سفید کوچک نشسته باشد، لباس سفید و کرم روشن به تن داشته باشد و کفش کتانی سفید پوشیده باشد. دست‌هایش روی تکیه‌گاه صندلی قرار بگیرند و با لبخندی ملایم به دوربین نگاه کند. دکور تولد: پس‌زمینه سفید و روشن با بنر دو ردیفه «HAPPY BIRT…

👌3❤2😍1

26 Oct 2026, 18:33 UTC≈13,500 views19 reactionsread 27 October 2026
Photo

پرامپت پرتره سیاه سفید پسرانه با استفاده از عکس رفرنس به‌عنوان مرجع اصلی، یک پرتره کلوزآپ حرفه‌ای و فوتورئال از یک مرد جوان خلق کن و زاویه صورت، کادربندی و حالت نگاه را مطابق عکس مرجع حفظ کن. مرد موهای کوتاه و مرتب، ریش کوتاه و طبیعی و چهره‌ای جدی و جذاب داشته باشد و مستقیماً به دوربین نگاه کند. او یک پیراهن مردانه راه‌راه روشن با یقه باز پوشیده باشد. نورپردازی دراماتیک و استودیویی از یک سمت صورت، ایجاد سایه عمیق د…

❤8🥰7👍4

26 Oct 2026, 12:05 UTC≈17,500 views26 reactionsread 27 October 2026
Photo

پرامپت پرتره عکس سینمایی پرامپت عکاسی سینمایی و شیک دو زن در بار رستوران یک عکس فوق‌واقع‌گرایانه و حرفه‌ای از دو زن که در کنار یکدیگر پشت پیشخوان بار نشسته‌اند و از نوشیدنی‌های خود لذت می‌برند. چهره، هویت، فرم صورت، چشم‌ها، بینی، لب‌ها، رنگ پوست و تمام ویژگی‌های طبیعی هر دو زن را دقیقاً مطابق عکس‌های مرجع حفظ کن و به هیچ عنوان تغییر نده. زن اول: زنی با پیراهن مجلسی جذب به رنگ بژ ‌‌و بلند و یقه های بسته و یه کت کرم…

❤19🥰3😍3👍1

25 Oct 2026, 13:30 UTC≈24,200 views62 reactionsread 27 October 2026
Photo

پرامپت عکس تولد بچگانه ویژگی‌های چهره را تغییر نده و چهره دقیقاً مطابق تصویر مرجع حفظ شود. یک افکت سینمایی همراه با دانه‌های ظریف فیلم (Film Grain) ایجاد کن. یک پرتره فوق‌واقع‌گرایانه با کیفیت بسیار بالا 8K، در قالب ۳:۴. عکس یک دختر بچه با لباس صورتی بسیار لطیف و دامن پفی. او در کنار یک میز کوچک سفید ایستاده است. و چند بادکنک سفید و صورتی پایین میز به صورت پخش قرار دارد روی میز یک کیک کوچک و مینیاتوری قرار دارد ک…

❤45🔥6👌4😍4👍3

25 Oct 2026, 08:15 UTC≈24,200 views34 reactionsread 27 October 2026
Photo

آموزش ساخت ویدیوهای ترند به کانال یوتوب هوشا اضافه شد. https://youtube.com/@hoosha_app

❤32👍2

24 Oct 2026, 10:42 UTC≈31,500 views63 reactionsread 27 October 2026
Photo

پرامپت عکس استریت استایل پاییزی پرامپت عکاسی پاییزی با استایل خیابانی و لاته ماچا چهره، اجزای صورت، رنگ پوست و موها را دقیقاً مطابق عکس مرجع حفظ کن؛ حتی کوچک‌ترین تغییری در ظاهر و هویت فرد ایجاد نکن. دختر جوانی روی لبه جدول پیاده‌رو نشسته است. پاهایش را به سمت جلو دراز کرده و بدنش کمی به سمت عقب متمایل است. نگاهش به نقطه‌ای خارج از کادر و در یک سمت دوخته شده و لبخندی بسیار ملایم با لب‌های بسته روی صورتش دیده می‌شو…

❤46😍6👏4👌3🥰3👍1

23 Oct 2026, 15:30 UTC≈32,900 views64 reactionsread 27 October 2026
Video

موشن گرافیک و ادیت ویدیو به مدل های چت هوشا اضافه شد. Hoosha.com

❤43🔥10👍7😍4

22 Oct 2026, 17:37 UTC≈39,700 views56 reactionsread 27 October 2026
Photo

پرامپت سلفی سینمایی پرامپت سلفی سینمایی داخل خودرو در هوای بارانی یک تصویر واقع‌گرایانه از یک زن خلق کن و بدون هیچ‌گونه تغییر در ویژگی‌های چهره، هویت، فرم صورت، چشم‌ها، بینی، لب‌ها و رنگ پوست، شباهت کامل به عکس مرجع را حفظ کن. تصویر شامل دو عکس از یک زن باشد که بدون قاب‌بندی، حاشیه یا خطوط جداکننده، در یک ترکیب‌بندی یکپارچه قرار گرفته‌اند. محیط و فضای تصویر: زن داخل یک خودروی لوکس نشسته است. صندلی‌های خودرو از چر…

❤43👍5🔥3👌2🥰2😍1

22 Oct 2026, 10:22 UTC≈38,700 views49 reactionsread 27 October 2026
Photo

پرامپت عکس مادر فرزندی یک پرتره فوق‌العاده واقع‌گرایانه (Ultra-Realistic)، سینمایی و با نمای بسیار نزدیک (Extreme Close-Up) از چهره زن و نوزاد، با استفاده از عکس‌های مرجع. ویژگی‌های چهره، فرم صورت، چشم‌ها، بینی، لب‌ها، رنگ پوست و هویت واقعی هر دو نفر را بدون هیچ‌گونه تغییر حفظ کن. نتیجه باید کاملاً طبیعی باشد و شباهت دقیق به تصاویر اصلی داشته باشد. زن، نوزاد را با عشق و لطافت در آغوش گرفته و سرش را به‌آرامی به سر …

❤40😍4🥰3🔥2

21 Oct 2026, 17:57 UTC≈40,200 views44 reactionsread 27 October 2026
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پرامپت عکس لایف استایل پرامپت عکاسی لایف‌استایل شبانه در تراس رستوران با فلاش دوربین Canon G7X Mark III حفظ کامل هویت چهره (Identity Lock): از عکس مرجع برای بازسازی چهره استفاده کن. فرم صورت، چشم‌ها، بینی، لب‌ها، رنگ پوست، تناسبات چهره و تمام ویژگی‌های طبیعی فرد را دقیقاً مطابق تصویر اصلی حفظ کن. چهره باید کاملاً قابل‌شناسایی و بدون هیچ‌گونه تغییر یا اعوجاج باشد. هدف، دستیابی به بیشترین شباهت ممکن به عکس مرجع است.…

❤39👌2👍2🥰1

21 Oct 2026, 08:47 UTC≈40,900 views46 reactionsread 27 October 2026
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پرامپت پرتره خانوادگی پرامپت پرتره ماکرو خانوادگی با جزئیات فوق‌واقع‌گرایانه یک پرتره خانوادگی فوق‌واقع‌گرایانه با نمای ماکرو و بسیار نزدیک (Extreme Close-Up Macro Portrait) از چهره سه نفر شامل یک مرد در سمت چپ کادر، یک زن در قسمت بالایی کادر و یک کودک در سمت راست تصویر خلق کن. حفظ دقیق هویت و ویژگی‌های چهره: از تصاویر مرجع هر سه نفر استفاده کن و ویژگی‌های چهره، فرم صورت، چشم‌ها، بینی، لب‌ها، رنگ پوست، سن ظاهری و …

❤38👌2👍2😍2🤯1🥰1

20 Oct 2026, 15:32 UTC≈43,500 views47 reactionsread 27 October 2026
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پرامپت عکس فانتزی دخترونه سوژه: یک عکس دیجیتالِ کراپشده از نمای همسطح چشم، شبیه اسنپشاتهای دوربین گوشی، که دو زن جوان طبق چهره های رفرنس ؛ نشسته در ماشین، با سوییشرت های ورزشی فیت ورزشی به رنگ خاکستری ذغالی موهای قهوهای، صاف و وسط فرق. هر کدام یک لیوان پلاستیکی آیسکافی با نی در دست دارند و در حال نوشیدن هستند. پوز و جزئیات: زنِ پیشزمینه لبخندی بازیگوش دارد و یک چشمش بسته است؛ زن دوم که پشت او نشسته، به جلو خم شده…

❤32👍5😍5🔥2🥰2👌1

Showing the 12 most recent of 147 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.

Forward network

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 domains this 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.

hoosha.com22 posts · 26 July 2026 – 7 August 2026 · example post
survey.porsline.irregistrable domain: porsline.ir18 posts · 26 July 2026 – 7 August 2026 · example post
www.hoosha.comregistrable domain: hoosha.com1 post · 5 August 2026 – 5 August 2026 · example post

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 27 October 2026 — this entry's latest reading, not the date you are reading this.

“Hoosha AI - پرامپت” (@Hoosha_ai), 899,360 subscribers as measured 27 October 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.