Education — 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 14 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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
11 measurements spanning 41 days, net +83. 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 3,310–3,417 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 00:59
3,405
+19
14 Sept 2026, 19:59
3,386
+6
11 Sept 2026, 09:39
3,380
+7
6 Sept 2026, 15:01
3,373
+5
1 Sept 2026, 18:22
3,368
+2
23 Aug 2026, 21:58
3,366
+12
20 Aug 2026, 14:07
3,354
+30
17 Aug 2026, 17:38
3,324
-1
11 Aug 2026, 07:11
3,325
+3
8 Aug 2026, 16:15
3,322
no change
8 Aug 2026, 16:02
3,322
first reading
Engagement
15 posts held, back to 6 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
483 reactions across 15 posts, in 7 distinct kinds. The most used accounts for 66.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
321
66.5%
👍
144
29.8%
🐳
8
1.66%
❤🔥
4
0.828%
🔥
3
0.621%
🙏
2
0.414%
✍
1
0.207%
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 15 of the 15 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 483 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 6 July 2026 to 5 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 15 we hold a reading for · 7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mohammaddiscoveries. 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 15 most recent posts we hold for this entry, published 6 July 2026 to 5 August 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.
کامیونیتی ها مثل چرخه عمر محصول، حتما زمان شکل گیری و افول دارن،
خیلیا انتظار دارن هر کامیونیتی همیشه پویا و سرپا باشه، شدنی نیست،
کامیونیتی یه محصول با پنجره زمانی محدوده، قرار نیست همیشه با کیفیت بمونه،
یه شکل گیری اتفاق میفته، ارزش هایی رو خلق می کنه و دیگه مصرف میشه،
جنس کامیونیتی مصرفیه و جایگاهش مثل یه بستره،
بستره که شکل میگیره باید ازش بیشترین استفاده رو کرد، چون گولدن تایم داره، پنجره محدود هست،
دلایلش زیاده…
شما روی لینک انتهای متن اگه بزنی،
کل کامیونیتی های بوژان که توش جلسات رایگان برگزار می کنیم براتون میاد.
١-مدیریت محصول که کلی کتاب و مقاله رو توش بررسی کردیم.
٢-مدیریت مارکتینگ- کاتلرخوانی گذاشتیم.
٣-برای بیزینس دولوپمنت- هلمر خوانی رو گذاشتیم
۴-هوش مصنوعی که سینگولاریتی نزدیک تر است رو بررسی کردیم،
و جلسات تجربه محوری رو می گذاریم که افراد میان از تجربه های ساخت محصولشون با هوش مصنوعی می گن.
روی لینک زیر بزنین…
آرش واقعا توی یه لیگ دیگه رفلکس تولید می کنه،
من نگاه های منصفانه ش رو خیلی دوس دارم،
بیس نقد واقعا منصفانه دیدنه، این سال ها ملاک من بوده برای اعتبار دادن به آدما،
https://youtu.be/n6aZw-RhjxA?si=yZR2rQyNkPbZRZ76
پر بازدیدترین مقالات سایت لنی رو به صورت مجله به کمک جمعی از شاگردان مدرسه بوژان سال گذشته ترجمه کردیم که به دلیل شرایط کشور منتشر نشدن،
ترجمه رو تعداد زیادی از عزیزان روش وقت گذاشتند، متن ها بعد توسط نازنین قاسمی ویرایش شد و مهدی جهانگیری زحمت طراحی جلد و صفحات رو کشیدن و هماهنگی و مدیریت پروژه این کار توسط نیلوفر تفنگچی انجام شد.
مقالات کاربردی و مفید هستند، امیدواریم که مرجع خوبی برای تیم های محصول در شرکت ها باشه…
اخیرا فعالیت منشی پور بیشتر هم شده، از نگاه من این یعنی بیزینسی که قراره در زمینه هوش مصنوعی توی دبی روش کار کنه احتمال شکستش زیاده،
میلاد منشی پور احتمالا به خاطر انگیزه هایی و دلایلی انتخاب کرده که مدیای شخصی خودش رو داشته باشه،
فعلا من در این مدیا و یه محصول هوش مصنوعی در زمینه املاک همگرایی نمی بینم، ازش می نویسم که در آینده این کیس رو باز بهش برگردیم و بررسی کنیم، با احتیاط از کلمه فرضیه استفاده می کنم که احتما…
سالای اول که در نقش فاندر می خواستم مدیریت هم کنم چه دنیای عجیبی بود، انگار با مدیریت توی یه شرکت به عنوان کارمند چه قدر فرق داره، چه قدر نوع نگاه به هر مسئله ای فرق داشت، اون محمد کول و آروم و همدل تبدیل شده بود به محمد اگرسیو و پیگیر و استانداردهای بالاتر،
توی همون برهه ها بود که به خودم میگفتم، ۵ سال توی شرکت و صنایع مختلف کار کردم قبلا، ٢-٣ سال نهایت کافی بود،
چون جنس مدیریت به عنوان فاندر خیلی واقعی تره تا به …
این متن نمی دونم چی شد یهو اومدم که باز خوندمش،
اگه یکی می گفت با همین منظور در لحظه بنویس،
بیش از یکی دو جمله شاید به ذهنم خطور نمی کرد، اما اون لحظه از نگاه خودم منسجم و دقیق نوشتمش، حدود ١٠-١٢ سال که دوس داشتم بنویسم، هیچ وقت نتونستم شروع کنم، همیشه فکر می کردم یه ساختار عجیبی برای نوشتن پیدا کنم، کتاب بخونم و یا به یه موضوع تخصصی مسلط بشم، اما روزی که کم کم یاد گرفتم نوشتن نوعی تبدیل جریان احساس و درکت و شهودت به…
آرش و شیدا یه کار ارزشمند دارن می کنن
توی رایز استوری
روایتگر مسیر پر فراز و نشیب فاندرهای ایرانی در دنیای استارتاپهای بینالمللی هستن
. از اولین جرقه ایده تا جذب سرمایه از VCهای جهانی
اینم لینک کانالشون هست.
https://t.me/RiseStories
ویدئوی چند ساعت پیش جانی هریس یوتوبر معروف
خیلی از جزئیات رو نداره،
یا شاید یه جاهایی دقیق نیست،
ولی به هر حال ویديویی هست که توی دنیا دیده میشه
https://youtu.be/-DDbYSg0Alw?si=vXaa7aYhNdB4JVLu
حرف های رئیس اصلی محمدرضا رو توی وویس های بالا درباره این متنم می تونین بشنوین،
دلشنین و ساده و صمیمی
مثل همیشه. (وویس رو با اجازه منتشر کردم که تکمیل کننده باشه)
Showing the 12 most recent of 15 posts we hold for @mohammaddiscoveries. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
پانتهآ وزیری @pv44telegram · 23,040 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 19 September 2026
گفت و چای | فهیم عطار @fahimattar · 43,042 Telegram ranks this channel #21 of 96 here — alongside 95 others — read 28 August 2026
مدیران ایران | آموزش مدیریت کسب وکار |modiriran 🕊 @modiriran · 34,367 Telegram ranks this channel #25 of 94 here — alongside 93 others — read 2 September 2026
Renani Mohsen / محسن رنانی @Renani_Mohsen · 68,374 Telegram ranks this channel #26 of 98 here — alongside 97 others — read 20 August 2026
Dr.mostafanaeimi @drmostafanaeimi · 140,074 Telegram ranks this channel #36 of 89 here — alongside 88 others — read 13 August 2026
امید امانی | Omid Amani @dr_amaniiiii · 93,697 Telegram ranks this channel #40 of 91 here — alongside 90 others — read 16 August 2026
درآمد از تخصص | محمدرضا شایگان | به شیوه شزوما @shezooma_1 · 22,669 Telegram ranks this channel #41 of 79 here — alongside 78 others — read 20 September 2026
| پادکست فارسی انسانک | @ensanak · 31,485 Telegram ranks this channel #45 of 86 here — alongside 85 others — read 6 September 2026
Mindq @mindqinfo · 27,525 Telegram ranks this channel #46 of 84 here — alongside 83 others — read 10 September 2026
Moosighi Popular @moosighi_popular · 34,190 Telegram ranks this channel #46 of 76 here — alongside 75 others — read 3 September 2026
Cloakify @vpncloakify · 112,188 Telegram ranks this channel #50 of 53 here — alongside 52 others — read 27 August 2026
پادکست پلی لیست|Playlist @Playlistpodcas · 153,471 Telegram ranks this channel #53 of 95 here — alongside 94 others — read 12 August 2026
_poune_ @Poonehmoghimi · 42,921 Telegram ranks this channel #60 of 78 here — alongside 77 others — read 28 August 2026
نوید نقش آموزش رایگان انگلیسی @ielts9_course · 25,363 Telegram ranks this channel #62 of 77 here — alongside 76 others — read 14 September 2026
Arman Garshasbi @Armangarshasbiofficial · 45,678 Telegram ranks this channel #62 of 90 here — alongside 89 others — read 27 August 2026
آن؛ @monadchannel · 52,355 Telegram ranks this channel #64 of 93 here — alongside 92 others — read 24 August 2026
Ensiven Yoga @Ensivenyoga · 29,640 Telegram ranks this channel #66 of 70 here — alongside 69 others — read 8 September 2026
iranianstartup | ایرانیان استارتاپ @iranianstartup_com · 58,851 Telegram ranks this channel #70 of 91 here — alongside 90 others — read 21 August 2026
ویکی تجربه - استخدام و بررسی شرکت ها @wiki_tajrobe · 82,561 Telegram ranks this channel #74 of 92 here — alongside 91 others — read 18 August 2026
محمدعلی جنت خواه @jannatkhah · 107,070 Telegram ranks this channel #77 of 93 here — alongside 92 others — read 15 August 2026
Kooshiar @kooshiar3 · 25,895 Telegram ranks this channel #81 of 93 here — alongside 92 others — read 14 September 2026
کانال صادق الحسینی @Sadegh_Alhosseini · 56,598 Telegram ranks this channel #83 of 99 here — alongside 98 others — read 23 August 2026
IEM Twitter | توییتر مهندسی صنایع و مدیریت @IEMTwitter · 26,705 Telegram ranks this channel #90 of 91 here — alongside 90 others — read 12 September 2026
This channel appears in 23 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Mohammad Discovery” (@mohammaddiscoveries), 3,405 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/mohammaddiscoveries.
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.