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Channel

پرامپت‌کده

@prompt_home

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

9,537subscribers

+848 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003110021983
TypeChannel
Username@prompt_home
Descriptionمرجع پرامپت‌های کاربردی
CreatedBetween 1 September 2025 and 30 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/prompt_home

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 11 August 2026 and assigned it the closest of 31 fixed categories, at 90% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@prompt_home/1728 · this entry3 Aug 2026, 15:08 UTC@Archives_Kar/9343 Aug 2026, 16:23 UTC1.0076 minutes
@prompt_home/1729 · this entry4 Aug 2026, 06:24 UTC@Archives_Kar/9384 Aug 2026, 06:41 UTC1.0017 minutes
@prompt_home/1730 · this entry5 Aug 2026, 10:18 UTC@Archives_Kar/9425 Aug 2026, 10:23 UTC1.005 minutes
@prompt_home/1731 · this entry5 Aug 2026, 10:25 UTC@Archives_Kar/9435 Aug 2026, 10:26 UTC1.00under a minute
@prompt_home/1733 · this entry5 Aug 2026, 11:20 UTC@Archives_Kar/9455 Aug 2026, 13:57 UTC1.002.6 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Archives_Kar5 (5/5 hand-verifiable sample passed)1.0017 minutesthis entry (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 30 comparable posts for this entry, running 1 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @prompt_home — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,6899,5419,1156 August 2026 — 8,689 subscribers6 August 2026 — 8,689 subscribers6 August 2026 — 8,708 subscribers10 August 2026 — 8,743 subscribers13 August 2026 — 8,827 subscribers16 August 2026 — 8,968 subscribers19 August 2026 — 8,976 subscribers22 August 2026 — 8,969 subscribers25 August 2026 — 8,966 subscribers28 August 2026 — 8,967 subscribers31 August 2026 — 8,957 subscribers4 September 2026 — 8,951 subscribers9 September 2026 — 9,193 subscribers13 September 2026 — 9,189 subscribers16 September 2026 — 9,191 subscribers25 September 2026 — 9,189 subscribers4 October 2026 — 9,519 subscribers11 October 2026 — 9,529 subscribers14 October 2026 — 9,533 subscribers17 October 2026 — 9,532 subscribers19 October 2026 — 9,525 subscribers22 October 2026 — 9,535 subscribers26 October 2026 — 9,530 subscribers29 October 2026 — 9,521 subscribers1 November 2026 — 9,541 subscribers4 November 2026 — 9,535 subscribers7 November 2026 — 9,537 subscribers9,5376 August 20267 November 2026
27 measurements spanning 94 days, net +848. 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 8,561–9,669 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
7 Nov 2026, 21:059,537+2
4 Nov 2026, 19:399,535-6
1 Nov 2026, 16:009,541+20
29 Oct 2026, 09:309,521-9
26 Oct 2026, 02:309,530-5
22 Oct 2026, 20:379,535+10
19 Oct 2026, 22:169,525-7
17 Oct 2026, 02:409,532-1
14 Oct 2026, 08:409,533+4
11 Oct 2026, 00:189,529+10
4 Oct 2026, 21:599,519+330
25 Sept 2026, 14:409,189-2
16 Sept 2026, 23:029,191+2
13 Sept 2026, 06:209,189-4
9 Sept 2026, 18:189,193+242
4 Sept 2026, 09:568,951-6
31 Aug 2026, 14:048,957-10
28 Aug 2026, 07:258,967+1
25 Aug 2026, 04:588,966-3
22 Aug 2026, 03:378,969first reading

Engagement

123 posts held, back to 1 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 42 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.5%
avg views ÷ 9,537 subscribers
Avg views / post
1,480
34 posts measured
Reaction rate
0.273%
reactions ÷ views · ER floor
Posts in window
34
of 123 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. It is computed over the 31 of 34 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held123 (1 August 2026 – 7 November 2026)
Views total50,153
Reactions total123
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 10:40 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
≈1,400
Videos
≈108
Links
≈202

Lifetime counters from Telegram’s own channel header, read 8 November 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
12m 34s
Average length
54s

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

354 reactions across 72 posts, in 11 distinct kinds. The most used accounts for 65.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤23265.5%
👍6518.4%
👏123.39%
🔥82.26%
😁82.26%
👌71.98%
👎71.98%
🤣61.69%
🤬61.69%
🤯20.565%
😢10.282%

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 92 of the 123 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 537 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 123 most recent posts we hold, published 1 August 2026 to 7 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: 4 of 34 posts held from the last 30 days (11.8%) 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).

7 Nov 2026, 22:09 UTC702 views1 reactionsread 8 November 2026

آپدیت جدید سابیفای اومد! ‏دیگه لازم نیست ویدیو رو جدا دانلود کنی و زیرنویس رو دستی جور کنی. ‏لینک یوتیوبو بنداز، کیفیت مورد نظرتو انتخاب کن، دانلود کن و مستقیم دوبله یا زیرنویس‌شو بگیر و ترجمه کن. ‏داستان تموم شد 🚀 https://App.sub-ify.site

👍1

7 Nov 2026, 20:42 UTC961 views8 reactionsread 8 November 2026
Video

اخطار. کلود به اکانت های ایرانی

🤬6❤2

7 Nov 2026, 11:26 UTC≈1,040 views1 reactionsread 8 November 2026

یک ابزار خوب و رایگان برای تولید عکس با هوش مصنوعی https://raphael.app/

❤1

7 Nov 2026, 07:47 UTC≈1,090 views4 reactionsread 8 November 2026

دیگه برای ساخت ویدئو، پول اشتراک ابزارهای گران‌قیمت رو نده! ‏این ۵ مخزن متن‌باز GitHub بهت اجازه می‌دن مستقیماً با کدنویسی، ویدئوهای حرفه‌ای و باکیفیت بسازی. ‏برای تولید محتوای آموزشی، معرفی محصول، ویدئوهای تکنولوژی و حتی محتوای سینمایی؛ بدون اینکه مجبور باشی سراغ CapCut یا After Effects بری. ‏🔥 این ۵ ابزار رو بشناس: ‏1️⃣ HyperFrames | جایگزین متن‌باز HeyGen ‏فقط ایده یا توضیحت رو وارد کن؛ انیمیشن‌های HTML تولید…

❤3👍1

7 Nov 2026, 07:05 UTC≈1,010 views2 reactionsread 8 November 2026
Photo

‏متا قابلیت جدیدی به اسم Spaces رو برای Muse معرفی کرد! 🤯 ‏کافیه ابزار موردنیازت رو توصیف کنی؛ از برنامه‌ریز روزانه و پیگیری کارها گرفته تا یک بازی! Muse اون رو بصورت مستقیم داخل اپلیکیشن می‌سازه. می‌تونی به تب‌هات اضافه‌اش کنی و بعدا دوباره سراغش بری. ‏ساخت ابزار، فقط با توضیح دادن!

❤1👎1

6 Nov 2026, 22:13 UTC≈1,110 views0 reactionsread 8 November 2026
Photo

‏معرفی AI رایگان «چت سفید» ‏به ترب و دیجیکالا و خیلی از سرویس‌های ایرانی وصله. ‏آخرین زلزله‌ها، شعر از گنجور میگه. قیمت ارز و کریپتو. نتایج زنده بازیها. وضعیت اینترنت ایران، جستجوی کتاب،پزشک، هتل، طلا، بورس،استخدام، آب‌وهوا. ‏برای حریم‌خصوصی بدون ثبت‌نام هست. https://chat.sefid.dev/

6 Nov 2026, 15:27 UTC≈1,210 views7 reactionsread 8 November 2026

۷ پرامپت که ChatGPT رو تبدیل می‌کنه به یک استادِ پژوهشگر ۱. فعال‌سازیِ حالتِ پژوهش «نقشِ یک استادِ ارشدِ پژوهش با سابقه‌ی تحقیقاتِ دقیقِ دانشگاهی رو بازی کن. از این به بعد هر موضوعی که دادم، سیستماتیک بررسی کن: موضوعاتِ کلیدی، مفاهیمِ اصلی و سؤال‌های مهمِ تحقیق. موضوعِ من: [موضوع]» ۲. تعیینِ محدوده‌ی تحقیق «نقشِ یک پژوهشگرِ حرفه‌ای رو بازی کن. کمکم کن محدوده‌ی دقیقِ موضوعِ [موضوع] رو مشخص کنم: زیرموضوع‌ها، مرزها و …

❤6🔥1

6 Nov 2026, 13:30 UTC≈1,230 views7 reactionsread 8 November 2026

‏دیگه دوره خرید اشتراک‌های دلاری و دور ریختن پول پای توکن‌های OpenAI برای تحلیل وب و سئو تموم شد. ‏بازی سرچ از رتبه گوگل رد شده و به موتورهای پاسخ‌محور (Perplexity و SearchGPT) رسیده. این موتورها نه کلمات کلیدی، بلکه «گراف موجودیت»، «اعتبار نویسنده» و «شواهد استناد» رو می‌فهمند. ‏امروز Molavi Web Intelligence Engine (MWIE) رو به صورت ۱۰۰٪ رایگان و متن‌باز (Apache 2.0) منتشر کردم؛ موتوری که در کسری از ثانیه: ‏▫️ چند ص…

❤6👎1

6 Nov 2026, 08:17 UTC≈1,190 views6 reactionsread 8 November 2026
Photo

اگه جواب هوش مصنوعی برای یه کار مهم زیادی کلیه، این پرامپت رو بعد از درخواست اصلی‌تون بفرستین. فلیکس ریزبرگ، از تیم مهندسی Claude، توی مقاله‌اش چند راه برای بهتر کارکردن با هوش مصنوعی توضیح داده. این پرامپت روی «عمق» تمرکز داره، نه صرفاً طولانی‌تر کردن پاسخ؛ و از مدل می‌خواد مثل یه متخصص فکر کنه، از داده‌های خام شروع کنه و راهی مستقل برای بررسی صحت نتیجه در نظر بگیره. لینک مقاله متن پرامپت: I want a deeper versio…

❤6

6 Nov 2026, 08:16 UTC≈1,030 views2 reactionsread 8 November 2026
Photo

🛠️ اگه ⁦Claude⁩ یه کار ساده رو زیادی پیچیده می‌کنه، فایل ⁦CLAUDE.md⁩ پروژه‌تون رو بررسی کنین. این فایل و اسکیل‌ها مشخص می‌کنن ⁦Claude⁩ چطور روی پروژه کار کنه. دستورهای قدیمی یا متناقض ممکنه باعث بشن برای یه تغییر کوچیک، جست‌وجوهای اضافه انجام بده یا چیزهایی بسازه که ازش نخواستین. برای بررسی دستورها، ⁦Claude Code⁩ رو توی پوشه پروژه باز کنین و این دستور رو اجرا کنین: /claude-api prompt-audit 🔍 بعد از بررسی، گزارشی …

❤1👍1

6 Nov 2026, 08:16 UTC≈1,070 views1 reactionsread 8 November 2026
Video

مدل جمینای Omni 1.2 Flash با قابلیت ساخت ویدیوهای 15 ثانیه‌ای معرفی شد 🔹 گوگل مدل هوش مصنوعی ویدیوساز Gemini Omni 1.2 Flash را با دسترسی عمومی منتشر کرده و قیمت استفاده از آن را ۳۰ درصد کاهش داده است. این مدل اکنون می‌تواند ویدیوهایی تا ۱۵ ثانیه تولید کند و امکان ویرایش چندمرحله‌ای ویدیوها از طریق گفت‌وگو را فراهم می‌کند. 🔹ثبات بصری چهره‌ها، لباس‌ها و جزئیات محصولات در نسخه جدید بهبود یافته است. این مدل در سرویس‌ها…

❤1

5 Nov 2026, 16:17 UTC≈1,150 views4 reactionsread 8 November 2026
Photo

‏هوش مصنوعی داره بازرسی پل‌ها رو هم متحول می‌کنه! 🤖🏗️ ‏انویدیا اعلام کرده پهپادهای خودران Skydio، مجهز به پردازنده‌های Jetson Orin، برای بازرسی پل‌ها و پروژه‌های عمرانی در کالیفرنیا استفاده میشن! ‏این پهپادها با جمع‌آوری اطلاعات از راه دور، به افزایش ایمنی بازرسان و سرعت بررسی زیرساخت‌ها کمک می‌کنن.

👍4

Showing the 12 most recent of 123 posts we hold for @prompt_home. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“پرامپت‌کده” (@prompt_home), 9,537 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/prompt_home.

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.