Telegram RegisterThe public register of Telegram

Channel

مریم حنطوش زاده

@boomwork

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

498subscribers

+0 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001040043046
TypeChannel
Username@boomwork
Descriptionآموزه‌های نوین رفتارسازمانی برای مدیران و کارکنان مقالات، پادکست، ویدیوها و خلاصه مطالب آموزشی مریم حنطوش زاده، مدرس و مشاور منابع انسانی ارتباط با ادمین @MHantooshzadeh www.hantooshzadeh.ir insta:maryam_antooshzadeh
CreatedBetween 1 January 2016 and 31 October 2016— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held2
On Telegramt.me/boomwork

Growth

4985 Aug 2026, 23:16 — 498 subscribers6 Aug 2026, 18:46 — 498 subscribers5 Aug 2026, 23:166 Aug 2026, 18:46
2 measurements taken within a single day. 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 497–499 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 18:46498no change
5 Aug 2026, 23:16498first reading

Engagement

16 posts held, back to 6 August 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
35.0%
avg views ÷ 498 subscribers
Avg views / post
174
6 posts measured
Reaction rate
5.55%
reactions ÷ views · ER floor
Posts in window
6
of 16 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 August 2026
Posts held16 (6 August 20241 August 2026)
Views total1,045
Reactions total58
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:46 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

Photos
904
Videos
187
Links
533

Lifetime counters from Telegram’s own channel header, read 6 August 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.

Reaction mix

160 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 49.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7949.4%
👍4628.7%
👌148.75%
👏106.25%
😍74.38%
💯10.625%
🕊10.625%
🙏10.625%
🤩10.625%

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 16 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 160reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 6 August 2024 to 1 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

1 Aug 2026, 12:41 UTC103 views8 reactionsread 6 August 2026
Voice message

تجربه های #نتورکینگ در آلمان

8

1 Aug 2026, 12:40 UTC99 views5 reactionsread 6 August 2026
Photo

نتورکیگ با حال بد فکر کن از یک کار متنفری و حالت هم‌ خوب نیست. بشدت در شرایط آسیب پذیری هستی. ولی به هر دلیلی تصمیمت بر انجام اون هست. یا به این دلیل که عواقب عدم انجامش برات سنگینه یا دلت می خواد بری. برای من رفتن به ایونت ها و نتورکینگ از این جنس هست. حالا از تجربه م گفتم ۱- تحمل ابهام ۲- تکنیک Before now, after ۳- تغییر نگرش در نتورکینگ برای شنیدن پادکست ده دقیقه ای رو می تونید بشنوید

5

24 Jul 2026, 09:09 UTC201 views11 reactionsread 6 August 2026
Voice message

در این اپیزود از تجربه ساختن نتورک حرفه‌ای در آلمان می‌گویم؛ از یک آشنایی اتفاقی که به یک همکاری تبدیل شد، باوری که درباره بازار کار آلمان در ذهنم شکست، و مهم‌تر از همه درسی که گرفتم: ◀️ لازم نیست از روز اول همه چیز کامل و ساختاریافته باشد. گاهی بهترین راه، شروع با کوچک‌ترین قدم ممکن٫ کمترین ریسک و یاد گرفتن در مسیر است. #نتورک

👌65

24 Jul 2026, 09:08 UTC181 views9 reactionsread 6 August 2026
Photo

دیروز با دوستانی که توی یک برنامه یوگا برای همکاران اچ ار آشنا شده بودیم٬ یه جلسه داشتیم و تو پادکست ۱۳ دقیقه ای از تجربه جلسه مون با رویکردهای متفاوت آلمانی و ایرانی و هندی حرف زدم. از پیش فرض های که به چالش کشیده شدند و درس هایی که گرفتم.

8🕊1

23 Jul 2026, 06:02 UTC238 views16 reactionsread 6 August 2026
Voice message

ترس از خوب به نظر نرسیدن

👍7😍43👏2

23 Jul 2026, 06:01 UTC223 views9 reactionsread 6 August 2026
Photo

https://t.me/shiftcamp اینو دوباره بخونید … بعد اگه دوست داشتید به ویس من درباره تجربه شخصی من در باب خوب به نظر رسیدن در مهاجرتم به آلمان بشنوید…

7👌2

19 Nov 2025, 15:11 UTC469 viewsread 6 August 2026
Forwarded from @Z_generationsPhoto

برگزار شد (با همکاری مرکز آموزش و تحقیقات صنعتی ایران) بتاریخ ۲۸ آبانماه: ✅ کارگاه تخصصی : AI in HR #هوش_مصنوعی در #منابع_انسانی 🔹 با حضور مخاطبین محترم حضوری و آنلاین.‌ 🙏 سپاس از اقایان : جوهری؛ و شریف و خانمها: کاظمی و کریمی (تیم مدیریت مرکز) 🔹🔹 با تمرینات عملی: #Perplexity_AI_Assistnt #Commet #NoteboolLM #Tunee #Ghat_GPT #Prompt_Engineering و تشکر از همکار گرامی خانم مریم حنطوش زاده (فارغ التحصیل رهبری تحول دی

13 Oct 2025, 13:17 UTC696 views7 reactionsread 6 August 2026
Voice message

"رشد خیالی" یا Ghost Growth یعنی کارمندها حس می‌کنن که پیشرفت می‌کنن، اما در واقع هیچ تغییری توی حقوق، سمت یا اختیاراتشون ایجاد نمی‌شه. طبق گزارش MyPerfectResume، 65 درصد از کارمندهای آمریکایی این حس رو تجربه کردن. خیلی از کارمندها گفتن که شرکت‌ها فقط وانمود می‌کنن از رشد و پیشرفت حمایت می‌کنن، اما در عمل چیزی تغییر نمی‌کنه. حتی بعضی‌ها گفتن که بهشون وظایف جدید و سنگین‌تری داده شده، بدون اینکه حقوق یا ترفیعی بگیرن.

4👍3

7 Oct 2025, 11:12 UTC640 views12 reactionsread 6 August 2026
Voice message

خلاصه مقاله: «چسبیدن به شغل» یعنی چی؟ چسبیدن به شغل یا همون "job hugging" به وضعیتی می‌گن که کارمندها به خاطر ترس از شرایط نامطمئن بازار کار، به شغل فعلی‌شون می‌چسبن و حاضر نیستن تغییر کنن. این موضوع اخیراً خیلی رایج شده و دلایلش می‌تونه شرایط اقتصادی بد، اخراج‌های زیاد یا نگرانی از آینده باشه. درین فایل به عواقب و راهکارهای منابع انسانی درباره این موضوع پرداختم https://t.me/boomwork

👍65💯1

2 Oct 2025, 08:27 UTC844 views17 reactionsread 6 August 2026
Voice message

اتحادیه اروپا تا اواسط ۲۰۲۶ قانونی برای شفافیت حقوق در سازمان‌ها اجرا می‌کنه: به نظرم نکاتی که توش مطرح شده خیلی جالبه و می‌تونه دید خوبی بده که این شفافیت چه شکلی خواهد بود. من خلاصه‌ای از وبیناری که شرکت کرده بودم رو اینجا با شما به اشتراک می‌ذارم و خوشحال می‌شم نظرتون رو بدونم. #حقوق و دستمزد #شفافیت_حقوق #تبعیض 🔑 نکات کلیدی: • اعلام محدوده حقوق قبل از اولین مصاحبه به کارجو الزامی می‌شه. • پرسیدن حقوق قبلی از متقا

👍115👏1

4 Jan 2025, 08:44 UTC≈1,060 views8 reactionsread 6 August 2026
Video

وبینار رایگان هدفگذاری در شرایط ابهام ووکا که با همکاری انجمن صنفی مدیران منابع انسانی برگزار شد. . ‌@boomwork @hrmir جهت دریافت مشاوره در حوزه‌ی منابع انسانی و کوچینگ با آیدی زیر در ارتباط باشید👇 🆔@MHantooshzadeh #مریم_حنطوش_زاده 🆔@boomwork اینستاگرام👇 🌐https://bit.ly/2z6bq0C

8

4 Jan 2025, 08:38 UTC≈1,340 views6 reactionsread 6 August 2026
Voice message

چهار وظیفه رهبران در شرایط عدم اطمینان «در شرایط غیرقابل اطمینان، شما به عنوان رهبر و مدیر باید قابل اطمینان باشید!» این مهم ترین نکته ای بود که از مقاله هاروارد دریافت کردم. اما چطور می تونم به عنوان یک مدیر اعتماد و اطمینان آدم ها رو جلب کنم؟ در فایل می تونید خلاصه درک و دریافت من از چهار راهکار برای قابل اطمینان بودن را در سطح فردی و سازمانی، ازین مقاله رو به همراه مثال و تجارب خودم بشنوید. https://t.me/boomw

3👍2🙏1

Showing the 12 most recent of 16 posts we hold for @boomwork. 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

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

“مریم حنطوش زاده” (@boomwork), 498 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/boomwork.

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.