Telegram RegisterThe public register of Telegram

Channel

پرامپتولوژیست | آموزش پرامپت هوش مصنوعی

@Promptologists

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,793subscribers

+20 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001215367711
TypeChannel
Username@Promptologists
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/Promptologists

Growth

6,7716,7936,7827 August 2026 — 6,773 subscribers7 August 2026 — 6,773 subscribers7 August 2026 — 6,771 subscribers10 August 2026 — 6,774 subscribers13 August 2026 — 6,793 subscribers7 August 202613 August 2026
5 measurements spanning 6 days, net +20. 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 6,768–6,796 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 04:546,793+19
10 Aug 2026, 08:356,774+3
7 Aug 2026, 13:556,771-2
7 Aug 2026, 12:476,773no change
7 Aug 2026, 12:366,773first reading

Engagement

24 posts held, back to 6 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.2%
avg views ÷ 6,793 subscribers
Avg views / post
894
17 posts measured
Reaction rate
0.255%
reactions ÷ views · ER floor
Posts in window
18
of 24 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 11 of 17 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 11 August 2026
Posts held24 (6 July 202611 August 2026)
Views total15,190
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 02:46 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
8s
Average length
8s

Measured directly from 1 video 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

50 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 66.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3366.0%
👍816.0%
👎48.00%
🔥36.00%
👌24.00%

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 16 of the 24 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 50reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 6 July 2026 to 11 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.

Recent posts

11 Aug 2026, 08:30 UTC254 views0 reactionsread 12 August 2026
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📌 پنج تا پرامپتی که زندگیتو تغییر میدن! 1️⃣. یه پرامپت برای وقتایی که تو زندگی گیر کردی این پرامپت با پرسیدن ۵ تا سوال بهت کمک می‌کنه بفهمی دقیقاً چی مانع پیشرفتت شده و در نهایت یه برنامه عملی ۳۰ روزه برای تغییر بهت می‌ده. 🔖 I want to make meaningful changes in my life but feel stuck. Please ask me 5 specific questions that will help uncover what's really holding me back and what concrete steps I should take next.

10 Aug 2026, 16:26 UTC381 viewsread 12 August 2026
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🔴 شعار تمامی ایجنت ها اینه، ایجنت شما با شما پیشرفت و رشد میکنه! ⚡️ قشنگتر میشه اگه تو حوزه معاملاتیمون چنین کاری رو انجام بدیم، نه؟ 😑 شرکت تو نظرسنجی ریپلای شده رو یادتون نره!

10 Aug 2026, 08:31 UTC467 viewsread 12 August 2026
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📌 پرامپت ChatGPT برای پیدا کردن بهترین رنگ‌ها و مدل‌های مو مناسب خودت! ✔️ چت‌جی‌پی‌تی (ChatGPT) رو باز کن و گزینه Create Image (ساخت تصویر) رو انتخاب کن. ➕ چند تا عکس واضح از چهره‌ت (رخ و نیمرخ) که نورپردازی خوبی دارن رو آپلود کن. ➕ این پرامپت رو پیست (Paste) کن: 🔖 Using this portrait, create a personal color analysis with a visual chart at the top. Show which clothing colors flatter the subject using visual comp

8 Aug 2026, 08:52 UTC609 views4 reactionsread 12 August 2026
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📺 شما تو این دوره قراره یاد بگیرید که چطوری با ایجنتتون تعامل کنید که معاملات بعدی رو کمتر استاپ بخورید! کندل به کندل علت حتی تارگت خوردنتون رو کشف کنید! ❤️‍🔥 و در نهایت یه اتوماسیون کاملا شفاف داشته باشید! 💥 اگر متقاضی شرکت در این دوره خصوصی هستید، هم به دوستانتون اطلاع بدید هم تو نظر سنجی ریپلای شده شرکت کنید!

3👌1

8 Aug 2026, 08:35 UTC584 views1 reactionsread 12 August 2026
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📌 پرامپت‌هایی برای جمینای که ارزش امتحان کردن توی گوگل ورک‌اسپیس رو داره! 😑 اگه هنوز جمینای رو به حساب گوگل ورک‌استپیس‌ت وصل نکردی، اول با این راهنما انجام بده! ✔️ وقتی انجامش دادی، جیمیل یا گوگل داکس رو باز کن، روی آیکون نئونی‌رنگ جمینای کلیک کن تا نوار کناریش (Sidebar) باز بشه و این پرامپت‌ها رو تست کن: 🔴 برای خلاصه کردن سریع مکالمات طولانی ایمیلی، از این پرامپت استفاده کن: 🔖 "Summarize this email thread into 3–

1

7 Aug 2026, 13:00 UTCviews —

پرامپتولوژیست | آموزش پرامپت هوش مصنوعی pinned «»

7 Aug 2026, 12:59 UTC632 views2 reactionsread 12 August 2026
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⚡️ تریدرای عزیز توجه کنین! ➕ دقایقی پیش NFP اومد و اینکاره هاش میدونن که چقدر روی طلا تاثیر داره! 🔴 و این تریدی بود که با Gemini 3.6 High زدم! 📣 تصویر گویاست، استاپ جایی بود که حتی برای زدن استاپ قبل خبر هم قیمت نتونست بهش برسه و به قدری تحلیل دقیق بود که تارگت رو اسلیپیج کرد!

👍1🔥1

7 Aug 2026, 09:43 UTC653 views5 reactionsread 12 August 2026
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📌 با این پرامپت وقتی چتت با هوش مصنوعی تموم شد، طلای واقعی چتت رو میتونی کشف کنی! 🔖 ‘Before I close this chat, is there anything else you would like to add to the convo based on what you know about me’ 🔝 برای معرفی خدمات و نحوه ورود به کانال VIP اینجا کلیک کنید. ( پکیج پرامپت های طلایی و آموزش های اختصاصی ) ✈ @Promptologists 💬 @irpromptologists

2👎2👌1

6 Aug 2026, 08:34 UTC739 viewsread 12 August 2026
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📌 توضیح Context، Harness و Loop Engineering: سه لایهٔ تکاملی ایجنت‌های هوش مصنوعی ✔️ در مهندسی مدرن ایجنت‌های هوش مصنوعی، دوران «پرامپت‌نویسی ساده» رو به پایان است. امروزه سه مفهوم جدید به‌عنوان لایه‌های تکاملی مطرح شده‌اند که هر کدام گره‌ای از مسیر خودکارسازی و مقیاس‌پذیری ایجنت‌ها باز می‌کنند. همچنین شما برای کار با این ایجنت ها بهتره که نحوه عملکردشونو بدونید! در ادامه این ۳ لایه را بررسی می‌کنیم:📺 👀 یک. Conte

5 Aug 2026, 08:34 UTC899 views2 reactionsread 12 August 2026

📌 ۵ تا پرامپت که تو کلود (Claude) خیلی خوب جواب می‌دن! ➡️ ایده‌پردازی خلاقانه (طوفان فکری) 🔖 I need help brainstorming ideas for [موضوع، محصول، یا پروژه]. Give me 10 unique ideas or approaches and briefly explain each one. ➡️ یادگیری یه موضوع پیچیده 🔖 Explain [موضوع] as if I were [یک آدم مبتدی، یک دانشجو، یا یک متخصص]. Use examples or analogies to make it easier to understand. ➡️ بهتر کردن روند کارت (Workflow)

2

Showing the 12 most recent of 24 posts we hold for @Promptologists. 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 — 757,673 of 1,160,990entries 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

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 3 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“پرامپتولوژیست | آموزش پرامپت هوش مصنوعی” (@Promptologists), 6,793 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Promptologists.

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.