💥 50 درصد تخفیف تولید ویدیو 💥 🎮 فقط به مدت 5 روز با 50 درصد تخفیف میتونید با مدل قدرتمند Wan 3.0 تا 30 ثانیه ویدیو سینمایی با دیالوگ های فارسی بسازین🔥 ⭐️از اکثر ترند ها پشتیبانی میکنه و کلی هم قالب آماده داره ⚡️ 💎این فرصت ویژه رو از دست نده 👉 اپ اندروید(گوگل پلی) | اپ اندروید(کافه بازار)👉 ✅کانال دیجی مارک در پیامرسان «بله»👉 🔮@digimark_ai

Channel
هوش مصنوعی دیجی مارک
@digimark_ai
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry
35,457subscribers
-569 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002097252840 |
|---|---|
| Type | Channel |
| Username | @digimark_ai |
| Description | اولین پلتفرم دیجیتال مارکتینگ با هوش مصنوعی در ایران🔮 اینستاگرام: https://www.instagram.com/digimark.ai وب سایت: https://digimark-ai.com/ |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 28 October 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 28 October 2026 |
| On Telegram | t.me/digimark_ai |
Topic
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Oct 2026, 16:16 | 35,457 | -42 |
| 27 Oct 2026, 14:28 | 35,499 | -31 |
| 26 Oct 2026, 14:31 | 35,530 | -45 |
| 25 Oct 2026, 12:56 | 35,575 | -25 |
| 24 Oct 2026, 15:39 | 35,600 | -30 |
| 23 Oct 2026, 16:46 | 35,630 | -44 |
| 22 Oct 2026, 16:10 | 35,674 | -73 |
| 21 Oct 2026, 09:57 | 35,747 | -32 |
| 20 Oct 2026, 09:59 | 35,779 | -39 |
| 19 Oct 2026, 11:30 | 35,818 | -41 |
| 18 Oct 2026, 09:57 | 35,859 | -49 |
| 17 Oct 2026, 06:55 | 35,908 | -58 |
| 16 Oct 2026, 08:14 | 35,966 | -27 |
| 15 Oct 2026, 10:47 | 35,993 | -56 |
| 14 Oct 2026, 11:46 | 36,049 | -38 |
| 12 Oct 2026, 23:49 | 36,087 | -110 |
| 8 Oct 2026, 15:56 | 36,197 | -221 |
| 4 Oct 2026, 03:01 | 36,418 | -533 |
| 25 Sept 2026, 12:19 | 36,951 | -317 |
| 19 Sept 2026, 03:56 | 37,268 | first reading |
Engagement
107 posts held, back to 27 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 150 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.14%
- avg views ÷ 35,457 subscribers
- Avg views / post
- 1,470
- 28 posts measured
- Reaction rate
- 0.115%
- reactions ÷ views · ER floor
- Posts in window
- 28
- of 107 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 17 of 28 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 October 2026 |
|---|---|
| Posts held | 107 (27 July 2026 – 28 October 2026) |
| Views total | 41,132 |
| Reactions total | 28 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Oct 2026, 04:44 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
- 478
- Videos
- 345
- Links
- 640
Lifetime counters from Telegram’s own channel header, read 29 October 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
- 2h 20m
- Average length
- 2m 10s
Measured directly from 65 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
298 reactions across 82 posts, in 10 distinct kinds. The most used accounts for 74.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 222 | 74.5% | |
| 👏 | 40 | 13.4% | |
| 👾 | 7 | 2.35% | |
| 😍 | 7 | 2.35% | |
| ⚡ | 5 | 1.68% | |
| 👀 | 4 | 1.34% | |
| 💯 | 4 | 1.34% | |
| 🔥 | 4 | 1.34% | |
| 😁 | 3 | 1.01% | |
| 🎉 | 2 | 0.671% |
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 89 of the 107 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 298 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 107 most recent posts we hold, published 27 July 2026 to 28 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.
Telegram Stars
- Stars received
- 3
- across the posts below
- Posts paid on
- 3
- of 107 we hold a reading for · 3%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @digimark_ai. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 107 most recent posts we hold for this entry, published 27 July 2026 to 28 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
🟢ترند حرف زدن با نسخه کودکی 🔥 🗣️خیلی راحت توی دیجی مارک بدون هیچ پرامپت نویسی میتونید بسازینش (اونم با دیالوگ های فارسی)✨ 🔖کافیه مطابق مراحل ویدیو آموزشی، برای خودتون و بچگیتون یک کاراکتر شیت بسازین و بعد هم از بخش تولید ویدیو سینمایی، با آپلود کاراکتر شیت و انتخاب قالب، یه ویدیو به همین قشنگی بسازین⚡️ 🔗سایت دیجی مارک | اپ اندروید(گوگل پلی) | اپ اندروید(کافه بازار)👉 ✅کانال دیجی مارک در پیامرسان «بله»👉 🔮@digimark_
🟢مدل تولید و ویرایش ویدیو «Kling 4.0» به دیجی مارک اومد!❤️ همین الان در بخش«تولید ویدیو» و سرویس «تولید ویدیو سینمایی» میتویند انتخابش کنید و باهاش کار کنید 🖥همونطور که توی پست معرفیش هم گفتیم، ساخت ویدیوهای سینمایی تا ۳۰ ثانیه با دیالوگ فارسی، بدون نیاز به آواگذاری رو انجام میده. با حرکات سینمایی و طبیعی و لایو اکشن های طبیعی. ⚠️این مدل جزو مدل های پرچمدار گرونه و اصلا اقتصادی نیست. بااینحال، پشتیبانی از فایل صوت…
❤1
🟢مدل ویرایش ویدیو Higgsfield Genjutsu به دیجی مارک اومد❤️ همین الان در بخش«ویدیو بلاگر سخنگو» و سرویس «موشن کنترل (مدل Kling Motion و Higgsfield Genjutsu) » میتویند انتخابش کنید و باهاش کار کنید. 🎮این مدل اختصاصی هیگزفیلد، کاراکترهای ویدیو رو به حرکت درمیاره و امکان ساخت ویدیوهای خلاقانه و متفاوت رو فراهم میکنه. حالا میتونید با کیفیت مطلوب از این مدل در دیجیمارک استفاده کنید و ترندهای جذاب بسازید.🔥 🎁 فقط برای یک…
⭐️تولید ویدیو سریع و اقتصادی با دیالوگ به هرزبانی ✨ ▶️تماشای آنلاین ویدیو در آپارات 👉 🟢توی این سرویس دیجی مارک میتونید با استفاده از مدل های Imagine , Veo3 ویدیوهای با صدا (ساند افکت و دیالوگ) بسازید👀 💵چون اقتصادی و کاربردیه، کاربران زیادی باهاش کار میکنن و ما تصمیم گرفتیم یک آموزش دقیق برای نحوه کار با این سرویس آماده کنیم تا با ساز و کارش بیشتر آشنا بشین و بتونید خروجی های بهتری بگیرید💎 🔹نمونه های ساخته شده رو …
❤1
🟢 بهترین پرامپتهای پست اسلایدی اینجاست! ⚡️ 🎮 کیفیت بالای مدلهای تولید تصویر دیجیمارک (2k و 4k) این اجازه رو بهتون میده که بتونید چندین اسلاید رو در آن واحد با پرامپتهای خلاقانه و حرفهای طراحی کنید و با تقسیم کردنشون در گالری خودتون، هر تیکه رو جدا کنید 🔥 «اینجوری در هزینه صرفهجویی میکنید و هم توان تولید مطلب و موضوعات مختلف اسلایدیتون بهتر حفظ میشه.» 🛎توضیحات اسلایدها به فارسیه و خیلی راحت همون اولش میتو…
🟢آموزش ساخت پست اسلایدی حرفه ای با هوش مصنوعی 🔥 ▶️تماشای آنلاین ویدیو در آپارات 👉 🗣️با دیجی مارک میتونید هم با استفاده از «قالب های آماده» هم با استفاده از سرویس های «تولید پرامپت عکس» با یک کلیک یا توضیحات متنی حرفه ای، بهتر از همه جا پست اسلایدی بسازین✨ 🔴واسه ساختنش توی دیجی مارک فقط کافیه بری به لینک زیر 👇🏾 https://app.digimark-ai.com/ 1️⃣اول وارد بخش «تولید و ویرایش عکس» شو 2️⃣حالا صفحه رو اسکرول کن پایین تا س…
❤1
⚠️کلینگ 4 و زبان فارسی ✨ ⭐️همونطور که قبلا در دیجی مارک گفته بودیم، احتمال چند زبانه شدن Kling 4.0 بسیار بالا بود و حالا Creator های فارسی زبان میتونن ویدویی ها سینمایی تا 30 ثانیه با صدای اختصاصی یا دیالوگ های متنی بسازن✨ نکته جالبش اینه هیچ آواگذاری هم نمیخواد و سیلابل اکثر کلمات در زبان های مختلف حتی عربی رو میتونه درست تلفظ کنه. مثلا برای ساخت ویدیو بالا دقیقا توضیح زیر نوشته شد The woman from @Image1 walks al…
❤2👏1
⭐️ آموزش ساخت استوری موشن با هوش مصنوعی دیجی مارک⚡️ ▶️مشاهده آنلاین آموزش در آپارات 👉 🟢 توی این آموزش یاد میگیرین چطور با کمک هوش مصنوعی، استوریهای متحرک و جذاب بسازین و ایدههاتون رو به محتوای ویدیویی تبدیل کنین✨ 🎮 از انتخاب روش مناسب ساخت و آمادهسازی تصاویر مرجع تا پرامپتنویسی و متحرکسازی تصاویر، نکات کاربردی این فرایند رو قدمبهقدم بررسی میکنیم. آموزش های تکیمیلی 📍 آموزش ساخت ویدیو سینمایی در دیجی مارک 👉…
⭐️ آموزش ساخت بلاگر برای تبلیغ محصول | UGC AVATAR در دیجیمارک ▶️مشاهده آنلاین آموزش در آپارات 👉 🗣️توی این آموزش، علاوه بر ساخت یک بلاگر برای تبلیغ محصول، قراره نکات تکمیلی و کاربردیای رو یاد بگیرین که میتونه کیفیت خروجیهاتون رو چند پله بالاتر ببره! 🔖 این آموزش بیشتر با محوریت خطاهای کاربران ساخته شده 👇 ✔️خطاهای انتخاب و آمادهسازی تصاویر مرجع کاراکتر و محصول ✔️اشتباهات رایج پرامپتنویسی و آواگذاری دیالوگها ✔…
🟢محصولت رو با محتوای برنده تبلیغ کن!🔥 🎮ترند این روزها تغییر سوژه ویدیو های معروفه که خیلی فرصت خوبی برای تغییر سناریو ویدیو و جایگذرای سوژه و محصول خودتون برای افزایش بازدید با یه سناریو خلاقانس!⚡️ ⭐️مطابق آموزش و مراحل ویدیو بالا، خیلی راحت توی دیجی مارک میتونید با بهترین قالب های آماده کاراکتر شیت بسازین و با توضیح ساده فارسی، این ادیت های حرفه ای رو با محصول و سوژه خودتون، روی هر ویدویی که دوس دارین انجام بدین و…
🟢توضیح نوشته شده برای این ویدیو 👇 کاراکتر خانوم مطابق عکس مرجع اول جایگزین اقا بشه و ماشین هم مطابق عکس دوم جایگزین ماشین از ثانیه 5وارد ویدیو میشه،اولش در ویدیو نیست. جزییات ویدیو تغییر نکنه فقط سوژه ها جایگزین بشن و حرکات همون حرکات باشه فقط با آپلود عکس کاراکتر و سوژه و یه توضیح فارسی ⚡️ ▶️آموزش کامل جایگزینی کاراکتر و سوژه در ویدیو 👉 شما هم بسازینش 👇 🔗سایت دیجی مارک | اپ اندروید(گوگل پلی) | اپ اندروید(کافه بازا…
Showing the 12 most recent of 107 posts we hold for @digimark_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.
Posts edited after publishing
@digimark_ai edited 5 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
- 22 August 2026
- Most recent edit
- 12 October 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.
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.
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 28 October 2026 — this entry's latest reading, not the date you are reading this.
“هوش مصنوعی دیجی مارک” (@digimark_ai), 35,457 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/digimark_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.