Personal blog — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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
7 measurements spanning 38 days, net -2. 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 616–624 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Sept 2026, 06:21
617
-1
6 Sept 2026, 09:37
618
-1
29 Aug 2026, 09:04
619
-2
23 Aug 2026, 02:27
621
-2
15 Aug 2026, 00:13
623
+4
7 Aug 2026, 09:47
619
no change
6 Aug 2026, 18:03
619
first reading
Engagement
20 posts held, back to 8 November 2025 — 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 20 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
263 reactions across 20 posts, in 17 distinct kinds. The most used accounts for 47.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
124
47.1%
👍
103
39.2%
🔥
7
2.66%
🍌
6
2.28%
👎
4
1.52%
👏
4
1.52%
🤔
3
1.14%
😁
2
0.76%
🥱
2
0.76%
🌭
1
0.38%
💊
1
0.38%
😍
1
0.38%
😢
1
0.38%
🙏
1
0.38%
🤡
1
0.38%
🤣
1
0.38%
🥰
1
0.38%
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 20 of the 20 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 263 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 November 2025 to 3 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
12
across the posts below
Posts paid on
7
of 20 we hold a reading for · 35%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @shayanshalilehchannel. 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 20 most recent posts we hold for this entry, published 8 November 2025 to 3 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.
🏖️ فقط در و دیوار من رو مسخره نکردن! 😅
من از فردا به مدت ۱۰ روز در تعطیلات تابستانی هستم. هفته پیش هم به همه پارتنرها ایمیل زدم که در این مدت ممکنه پاسخگوی ایمیل نباشم و اگر موضوع واقعاً فوری و اضطراری بود، در واتساپ پیام بدن. 🚨
اما واکنشها خیلی جالب بود؛ یکی خندید، یکی وقتی من رو در جلسه دید گفت: «فکر کردم دیگه رفتین سفر؛ خوشحال شدیم دیدیمتون!» 😂
واکنشها اونقدر عجیب بود که حتی بیخیال فعالکردن پاسخ خودکار ا…
🎙 اپیزود ۱۱ منتشر شد
توی این اپیزود با یاشا درباره مسیری حرف زدیم که کمتر کسی تصور میکنه بشه توی چند سال تجربهاش کرد.
از فرانتاند شروع کرد، بعد رفت سراغ بکاند، وارد دنیای امنیت شد، درگیر برگزاری رویدادهای تکنولوژی شد و در نهایت، به شکلی کاملاً غیرمنتظره وارد سوشال مدیا شد.
توی این گفتگو درباره تغییر مسیرهای پیاپی، ریسکهایی که پذیرفت، تصمیمهایی که زندگی حرفهایش رو عوض کردن و تجربههایی صحبت کردیم که باعث شد…
مهمان قسمت دهم پادکست، یاشار مفاضی است؛ متولد شیراز و از همکاران سابق من در گلرنگ ونچرز که حالا برای ادامه تحصیل به ایتالیا مهاجرت کرده است.
این گفتوگو را در آذرماه سال گذشته و پیش از رفتن یاشار از ایران ضبط کردیم. در این قسمت، یاشار از مسیر ورودش به دنیای مارکتینگ و سوشالمدیا، تجربه اولین کار حرفهای، چالشهای شروع مسیر شغلی و آموختههایی که در این سالها به دست آورده صحبت میکند.
کست باکس
https://castbox.fm/vd/…
📊 گزارش «چالشهای صنعت بازی ایران» منتشر شد.
📉 صنعت بازی ایران در سالهای اخیر با مجموعهای از چالشهای ساختاری مواجه بوده است؛ اما در بسیاری از موارد، به دلیل نبود دادههای مستند، شناخت ما از این چالشها بیشتر بر پایه روایتها و تجربههای پراکنده شکل گرفته است.
🎯 گزارش «چالشهای صنعت بازی ایران» توسط پارالاکس، شتابدهنده تخصصی بازی موبایل گلرنگ ونچرز، تدوین شده است. این گزارش با اتکا بر تحلیل دادههای کمی و گفتوگ…
ابتدای امسال مقالهای با عنوان «استارتاپ استودیو چیست و چگونه استارتاپ میسازد؟؛ رویکرد گلرنگ به مدل Venture Build» برای وبلاگ گلرنگ ونچرز نوشتم. در این مقاله تلاش کردهام درباره مدل استارتاپ استودیو، تفاوت آن با شتابدهندهها و سرمایهگذاران جسور و مراحل ساخت یک استارتاپ از ایدهپردازی تا مقیاسدهی توضیح بدهم.
این پادکست در آذر ۱۴۰۴ رکورد شده ولی امروز منتشر شد. توی این قسمت با نیما دادوند کپ میزنم. در مورد همه چیز تقریبا. یکم بیشتر در مورد دیجیتال مارکتینگ هم صحبت کردیم. خوشحال میشم که با دوستای خودتون به اشتراک بزارید
کست باکس
https://castbox.fm/vd/966602469
شنوتو
https://shenoto.com/channel/podcast/shayanshalileh
کانال من در تلگرام
@shayanshalilehchannel
بعد از مدت ها پادکست جدید رو منتشرکردم. این پادکست در آذر سال ۱۴۰۴ رکورد شده و امروز منتشر شده. توی این قسمت با آزاده در مورد ورودش به دنیای استارتاپی و مدیرمحصولی صحبت کردم.
امیدوارم که جالب باشه براتون. ممنون میشم که با دوستای خودتون به اشتراک بزارید
کست باکس
https://castbox.fm/vd/962637796
شنوتو
https://shenoto.com/channel/podcast/shayanshalileh
کانال من در تلگرام
@shayanshalilehchannel
پاییز پارسال، پادکست شخصی خودم رو با هویت جدید و اسم «بینام» ریبرند کردم و یه سری اپیزود هم ضبط و آماده انتشار شد. بعد از اون، از پاییز پارسال تا تابستون امسال، خیلی اتفاقها افتاد. خیلی چیزا شد و خیلی چیزا هم نشد که باعث شد این اپیزودها هیچوقت منتشر نشن. گفتنش بماند برای یه وقت دیگه.
ولی سه تا اپیزود از اون موقع دارم که واقعاً دلم نمیاد منتشرشون نکنم. احتمالاً امروز یا فردا میذارمشون روی شنوتو و کستباکس. جالبه…
بعد از ۶ ماه که دیگه گفتن نداره چی شد و چرا... دونه دونه دیدم که همه فعال شدن از تو سوراخ دارن درمیان. من هم تصمیم گرفتم تقریبا به عنوان آخرین موجودات غیرفعال دوباره یکم فعالیت خودم رو در سوشیال شروع کنم. این هم یکی از کارهایی که این چند وقت انجام دادم. یه راهنمای ساده برای منابع انسانی استارتاپ ها و تیم های تکنولوژیک
چاپ دوم کتاب با یک سری ویرایش های مهم که نکات مدیریتی رو که فقط برای یک مدیرعامل مناسب باشه برداشته و یکم عمومی تر شده آماده شده و به زودی میتونید تهیه کنید؟ اگه نسخه قبلی رو خوندید ❤️ و اگه نسخه جدید رو دوست دارید بخونید 👍 بزارید
👍21❤8🌭1💊1🔥1
Showing the 12 most recent of 20 posts we hold for @shayanshalilehchannel. 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.
Mindq @mindqinfo · 27,525 Telegram ranks this channel #37 of 84 here — alongside 83 others — read 10 September 2026
Kooshiar @kooshiar3 · 25,895 Telegram ranks this channel #90 of 93 here — alongside 92 others — read 14 September 2026
This channel appears in 2 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 13 September 2026 — this
entry's latest reading, not the date you are reading this.
“Shayan Shalileh 📢” (@shayanshalilehchannel), 617 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/shayanshalilehchannel.
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.