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Channel

IdealProject Engineering Ltd.

@idealproject_eng

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

542subscribers

+104 since we began measuring on 24 October 2026

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

Register entry

Telegram ID-1001950340077
TypeChannel
Username@idealproject_eng
First recorded24 October 2026
Last confirmed live25 October 2026
Measurements held2
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/idealproject_eng

Growth

43854249024 Oct 2026, 17:22 — 438 subscribers25 Oct 2026, 01:55 — 542 subscribers24 Oct 2026, 17:2225 Oct 2026, 01:55
2 measurements taken within a single day, net +104. 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 422–558 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Oct 2026, 01:55542+104
24 Oct 2026, 17:22438first reading

Engagement

20 posts held, back to 2 October 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.

ERR · 30 days
25.4%
avg views ÷ 542 subscribers
Avg views / post
138
20 posts measured
Reaction rate
3.12%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 24 October 2026
Posts held20 (2 October 2026 – 24 October 2026)
Views total2,756
Reactions total86
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 17:22 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
14m 57s
Average length
2m 30s

Measured directly from 6 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

86 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 39.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3439.5%
🔥1416.3%
🙏1214.0%
👍910.5%
👌66.98%
🤩55.81%
💯44.65%
👏11.16%
🤔11.16%

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 86 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 2 October 2026 to 24 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.

Recent posts

24 Oct 2026, 15:06 UTC115 views1 reactionsread 24 October 2026
Photo

🎶🔊 چـرا بـعضـی سالـن‌هـا صـدایـی فـراگیـرتـر دارنـد؟ تا حالا دقت کردی که در بعضی سالن‌ها، صدا فقط از سمت بلندگو شنیده نمی‌شه، بلکه احساس می‌کنی صدا از اطراف هم تو رو احاطه کرده؟ این حس در #آکوستیک با مفهومی به نام فراگیری شنونده (Listener Envelopment یا LEV) شناخته می‌شه. اما چه چیزی باعث ایجاد این حس می‌شه؟ ۱. صـدای مسـتقیـم صداییه که مستقیماً از بلندگو به شنونده می‌رسه. این صدا نقش مهمی در تعیین جهت منبع صوت و …

👌1

24 Oct 2026, 12:56 UTC123 views3 reactionsread 24 October 2026

قـسـمـت بـعـدی؛ مـهـم‌تـر از اونـیـه کـه فـکـر مـی‌کـنـین! تا اینجا گفتیم که بزرگ‌تر بودن درایور، لزوماً به معنی بیس قوی‌تر نیست... امـا یـه سـؤال مهـم‌تـر!؟ چرا دو ساب‌ووفر با درایورهای مشابه، می‌تونن عملکرد کاملاً متفاوتی داشته باشن؟ پاسخ تا حد زیادی به طراحی کابینت برمی‌گرده! Bass Reflex | باس رفلکس Sealed | سیلد Horn-Loaded | هورن‌لود Bandpass | باندپس Tapped Horn | تپد هورن هرکدوم چه تفاوتی دارن؟ کدوم…

👍2🔥1

24 Oct 2026, 11:51 UTC120 views2 reactionsread 24 October 2026

🔊⁉️ آیـا سـاب‌ووفـر بـزرگ‌تـر همیـشه بهتـره؟ خیلی‌ها فکر می‌کنن ساب‌ووفر ۱۸ اینچ حتماً از ۱۵ اینچ قوی‌تره؛ اما واقعیت اینه که قطر بلندگو به‌تنهایی تعیین‌کننده کیفیت و قدرت بیس نیست! چند عامل مهم در عملکرد ساب‌ووفر نقش دارن: - طراحی کابینت: حجم و نوع طراحی کابینت روی پاسخ فرکانسی و بازده سیستم تأثیر می‌ذاره. - مشخصات درایور: عواملی مثل سطح جابه‌جایی هوا، حساسیت و توانایی حرکت مخروط در فرکانس‌های پایین مهم هستن. - م…

👍1🔥1

24 Oct 2026, 10:46 UTC110 views4 reactionsread 24 October 2026
File

⏬ فایل PDF کتاب 📱 کانال تلگرام | 📱 اینستاگرام

🔥2❤1👍1

24 Oct 2026, 10:42 UTC106 views4 reactionsread 24 October 2026
Photo

📚 Architectural Acoustics Illustrated یکی از منابع کاربردی برای درک رابطه میان صـدا، فـضا و مـعمـاری! کتابی که مفاهیم آکوستیک معماری را با رویکردی تصویری و مهندسی توضیح می‌دهد. این #کتاب موضوعاتی مانند: • مبانی انتشار و رفتار صدا • جذب و بازتاب صوت و انتخاب سطوح مناسب • آکوستیک اتاق، زمان واخنش و وضوح صدا • طراحی آکوستیکی فضاهای اجرای موسیقی و گفتار • عایق‌بندی صوتی و انتقال صدا بین فضاها • کنترل نویز تجهیزات مکان…

❤2🔥2

23 Oct 2026, 21:49 UTC116 views6 reactionsread 24 October 2026
File

⏬ فایل PDF کتاب 📱 کانال تلگرام | 📱 اینستاگرام

❤2💯2🙏2

23 Oct 2026, 21:47 UTC121 views6 reactionsread 24 October 2026
Photo

📚 مـعرفی یـک منبـع تخـصصی در آکـوستیـک و طـراحی سیستـم‌هـای صوتـی مسـاجـد 📖 Room Acoustic and Modern Electro-Acoustic Sound System Design during Constructing and Reconstructing Mosques ✍️ نویسنده: Wasim Orfali رساله دکتری مهندسی از دانشگاه فنی برلین (TU Berlin) سال انتشار: ۲۰۰۷ این اثر یکی از منابع تخصصی در زمینه بررسی #آکوستیک فضاهای مذهبی و طراحی سیستم‌های صوتی مساجد است که به ارتباط میان معماری، آکوستیک سالن و …

❤2💯2🙏2

22 Oct 2026, 10:22 UTC124 views8 reactionsread 24 October 2026
Photo

🔊 تـداخـل امـواج و شـکل‌گیـری لـوب‌های فـرعی در آرایـه‌هـای بلندگـو! در آرایه‌های بلندگو، امواج صوتیِ منتشرشده از درایورهای مختلف با یکدیگر برهم‌کنش دارند. این برهم‌کنش، بسته به فرکانس، فاصله درایورها، هندسه آرایه و اختلاف فاز امواج، می‌تواند به تقویت یا تضعیف صدا در جهت‌های مختلف منجر شود. نتیجه این فرایند ممکن است شکل‌گیری لوب‌های فرعی (Side Lobes) و نواحی تضعیف شدید (Nulls) در الگوی انتشار صوت باشد. در طراحی سی…

❤5👍1🤔1🙏1

22 Oct 2026, 07:47 UTC115 views6 reactionsread 24 October 2026
Video

⚡️ یـه ابـزار خـیلی کاربـردی بـرای دوستانـی کـه بـا Revit و EASE کـار می‌کـنن! با RoomExchange می‌شه مدل معماری رو مستقیماً از Revit به EASE 5 منتقل کرد و بعد از طراحی سیستم صوتی، اطلاعات مربوط به جانمایی و زاویه بلندگوها رو دوباره به Revit برگردوند. بدون بازسازی دستی مدل و دوباره‌کاری‌های وقت‌گیر! به‌نظرم این ابزار می‌تونه فرآیند مدل‌سازی و طراحی آکوستیکی فضاهای پیچیده رو خیلی راحت‌تر و سریع‌تر کنه. منتظر انتشار…

❤3👌2🔥1

21 Oct 2026, 14:21 UTC122 views4 reactionsread 24 October 2026
Photo

نـرم‌افـزار EASE Address طـراحـی و شبـیه‌سـازی سیستـم‌هـای صـوتـی توزیـع‌شـده نرم‌افزار EASE Address محصول شرکت AFMG، یک ابزار رایـگان و کاربردی برای مدل‌سازی دوبعدی و شبیه‌سازی پوشش سیستم‌های صوتی، به‌ویژه سیستم‌های بلندگوی سقفی و توزیع‌شده است. با استفاده از این #نرم‌افزار می‌توان پلان فضا را تعریف کرد، موقعیت بلندگوها را مشخص کرد، چیدمان آن‌ها را به‌صورت خودکار بهینه‌سازی اولیه کرد و توزیع سطح فشار صوت (SPL) را …

❤3👌1

20 Oct 2026, 08:33 UTC128 views5 reactionsread 24 October 2026
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💻 نـرم افـزار EASE Focus 3 چیـست و چـه فلسفـه‌ای پشـت آن قـرار دارد؟ وقتی صحبت از طراحی یک سیستم صوتی حرفه‌ای می‌شود، سؤال فقط این نیست که چه بلندگویی انتخاب کنیم؟! بلکه این است که سیستم انتخاب‌شده، پیش از اجرا، چه عملکردی در محدوده‌ی مخاطبان خواهد داشت؟ نرم‌افزار EASE Focus 3 محصول شرکت AFMG، یک نـرم‌افـزار رایگـان و کاربردی است که با هدف شبیه‌سازی و پیش‌بینی عملکرد سیستم‌های تقویت صدا پیش از نصب و اجرا توسعه داده…

❤3👍1🔥1

7 Oct 2026, 14:34 UTC194 views5 reactionsread 24 October 2026
Video

🌽 نـسل بـعـدی طـراحـی و کـنتـرل سیـستم‌های AV در Symetrix Cognio کمپانی Symetrix با معرفی Cognio Platform رویکرد متفاوتی را برای طراحی و اجرای سیستم‌های حرفه‌ای Audio, Video & Control ارائه کرده است! رویکردی که در آن سیستم دیگر صرفاً حول یک DSP مرکزی و سخت‌افزار مشخص طراحی نمی‌شود. در Cognio، طراحی از Space، Zone و Signal Flow شروع می‌شود و سخت‌افزار در مرحله بعد به معماری اضافه می‌شود. به این ترتیب، طراحی سیستم از…

❤2🙏2🔥1

Showing the 12 most recent of 20 posts we hold for @idealproject_eng. 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.

Mentions

Named by 4 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.

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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“IdealProject Engineering Ltd.” (@idealproject_eng), 542 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/idealproject_eng.

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.