سلام به همگی براساس صحبتهایی که این مدت با خیلی از بچه ها داشتیم و همینطور مصاحبه ها و جلسات منتورشیپ موارد پرتکراری رو در بچهها دیدیم. به همین دلیل یک نظرسنجی طراحی کردیم که اگر چند دقیقه وقت بذارید و تکمیلش کنید خیلی عالی میشه و حتما در آینده نزدیک نتایجش و احیانا مسیری که بتونه به دغدغه ها کمک کنه رو با شما به اشتراک میذاریم. نهایتا ۱۰ دقیقه هم از شما وقت نمیگیره: https://survey.retro.college/ @RetroProduct

Channel
↻ Retro Product | رترو پروداکت
@RetroProduct
On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
3,756subscribers
+4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001755682797 |
|---|---|
| Type | Channel |
| Username | @RetroProduct |
| Created | Between 1 December 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/RetroProduct |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 22:24 | 3,756 | -1 |
| 10 Aug 2026, 07:20 | 3,757 | +5 |
| 7 Aug 2026, 08:44 | 3,752 | no change |
| 6 Aug 2026, 13:51 | 3,752 | first reading |
Engagement
20 posts held, back to 5 April 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 5 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 33.0%
- avg views ÷ 3,756 subscribers
- Avg views / post
- 1,240
- 2 posts measured
- Reaction rate
- 0.251%
- reactions ÷ views · ER floor
- Posts in window
- 2
- 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. It is computed over the 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (5 April 2026 – 7 August 2026) |
| Views total | 2,480 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 06:15 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.
Reaction mix
444 reactions across 19 posts, in 14 distinct kinds. The most used accounts for 42.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 188 | 42.3% | |
| 💔 | 83 | 18.7% | |
| 👌 | 38 | 8.56% | |
| 👍 | 30 | 6.76% | |
| 😢 | 28 | 6.31% | |
| 😡 | 22 | 4.95% | |
| 🔥 | 19 | 4.28% | |
| 🤯 | 16 | 3.60% | |
| 👏 | 8 | 1.80% | |
| 🥴 | 6 | 1.35% | |
| 🤩 | 3 | 0.676% | |
| 😍 | 1 | 0.225% | |
| 😐 | 1 | 0.225% | |
| 🤔 | 1 | 0.225% |
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 19 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 444reactions 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 5 April 2026 to 7 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
پاسخ به مهمترین #سوالات_مصاحبه (ویژه تمام پوزیشنهای حوزه تک) سوال ۱: از خودت بگو Tell me about yourself.. + دلیل این سوال چیست؟ + چه پاسخی میتواند پاسخ صحیح باشد؟ + رویکرد پاسخ به سوال؟ 🔻بطور خلاصه باید گفت: - کوتاه پاسخ دهید، صادقانه و جذاب - نقاط قوت خود را نشان دهید - داستان خود را به نیازهای آنها گره بزنید اسلایدهای کامل را در این پست لینکدین ببینید. @RetroProduct
👍5
یک مدتی بود که ذهنم درگیر این موضوع بود و حالا توی پست آخر لینکدین درباره فرق سابقه کاری و تجربه نوشتم و خیلی دوست دارم که نظر شما رو هم دربارهش بدونم. بیاید دربارهش صحبت کنیم لینک پست👇👇 https://lnkd.in/eijuimhq @RetroProduct
❤14👍5😐1
خلاصه کتاب تست مامان (The Mom Test) حالا در ۵۰ صفحه، بدون از دست دادن حتی یک ایدهی مهم این کتاب یه سؤال ساده رو جواب میده: چطور سؤال بپرسیم که حتی مادرمون هم نتونه بهمون دروغ بگه؟ توی این خلاصه میبینید: 🔹 ۳ قانون طلایی آزمون مامان 🔹 تحلیل ۱۴ سؤال رایج (کدومش خوبه، کدومش فاجعهست) 🔹 چطور تعارف، حاشیه و ایدههای گمراهکننده رو از دادهی واقعی جدا کنیم 🔹 دهها دیالوگ واقعی از خود کتاب (نسخهی غلط / نسخهی درست…
❤10🔥5😍1
#CaseStudy برای مساله بالا (دیجی کالا) این نکات رو میتونید به یاد داشته باشید. خرد کردن مساله و فهم دقیق مشکل قدم اصلی و مهم برای حل مساله ست. @RetroProduct
👌9❤2🤩1
#CaseStudy ❇️ نظرتون چیه که گاهی یک سری مسائل واقعی رو مطرح کنیم تا بهش فکر کنیم؟ کیس اول: دیجیکالا - طراحی فیچر جدید 🔹تحقیقات نشان داده: حدود ۶۰٪ کاربران قبل از خرید کالا، قیمت آن را در چند سایت مختلف بررسی میکنند. مدیر محصول پیشنهاد داده: قابلیت Price Alert اضافه شود تا وقتی قیمت کالا کاهش یافت، به کاربر اطلاع داده شود. 🔶 قبل از ساخت این قابلیت چه مراحلی را طی میکنید؟ خروجی مورد انتظار • ارزش پیشنها…
👌16🔥3🤩2❤1
#وبینار #رایگان ⭐️ کسبوکارهای بزرگ چطور تصمیمات دادهمحور میگیرند؟ 🔻آنچه در این وبینار مطرح خواهد شد: ◀️ یک تصمیمگیری داده محور چه خصوصیاتی دارد؟ ◀️ چگونه میتوان با کمک گرفتن از دادهها تصمیم گرفت؟ ◀️ تصمیمسازی و تصمیمگیری در سازمانهای بزرگ بر عهده چه کسانی است؟ در گفتگو با: روزبه داداش زاده Pricing & Data Science Manager @ Snapp! ویدیو این وبینار به آپارات اضافه شد: https://www.aparat.com/v/tvxgd40 @Ret…
🔥5❤1
گوگل یه دوره ۵ روزه کاملا رایگان برای ساخت AI Agent گذاشته که اسمش AI Agents Intensive هست و از ۱۵ تا ۱۹ ژوئن برگزار میشه. نه پیشنیاز خاصی داره، نه هزینهای. فقط ۵ روز یاد میگیری چطور از صفر یه Agent هوشمند بسازی. با همون مفاهیمی مثل Vibe Coding که تا همین چند وقت پیش فقط توی تیمهای تخصصی بهشون میپرداختن، حالا توی این دوره قابل دسترسه. لینک ثبتنام: 👇 🔗 https://www.kaggle.com/competitions/5-day-ai-agents-i…
👌11❤5
#انتشار ⭐️ تجربه مصاحبه مدیریت محصول از زبان مصاحبهکنندهها 📱 لینک ویدیو در آپارات: https://www.aparat.com/v/afkfdgp @RetroProduct
🔥4
این دو هفته حدود 200 #رزومه برام ارسال شد که در برخی موارد فقط فایل رزومه رو باز می کردم و میبستم! بدلیل زیاد بودن رزومه ها هم نمیشد به هر کسی فیدبک بدم و خب این الگویی هست که در ارسال رزومه به شرکت ها هم زیاد پیش میاد و اصلا وارد فانل نمیشه و در چند ثانیه رزومه بسته میشه و تمام! حالا یک رزومه خوب چه خصوصیاتی داره؟ دوست دارم یک جلسه آنلاین بذاریم و با بررسی چند رزومه واقعی این موارد رو چک کنیم اما مواردی که به نظرم…
❤10🔥2
#موقعیت_شغلی مدیرمحصول طراح محصول جاوا دولوپر در شرکت راهگزین رایانه، پروژه سایت و اپلیکیشن همراه من بچه ها به دیده شدن این پست در لینکدین کمک کنید. @RetroProduct
👍4❤3
واقعا ناراحت و اذیتم از حماقت مسئولینی که این حجم تعدیل و بیکاری آدما رو به حساب شرایط جنگ میذارن و نه به حساب قطع کردن اینترنت! همون اینترنتی که حدود ۷۰ روزه قطع کردند و راه درامد صدها هزار آدم رو به راحتی بستن و بعد به قیمتی چند برابر همون اینترنت قبلی رو با پر کردن یک فرم بمون میفروشن! یعنی اینترنت قبلی امنیت کشور رو به خطر مینداخت و اگر دو میلیون حق اشتراک بگیریم و هر گیگ رو ۵۰ تومن بفروشیم اتفاقی نمیفته! لعنت…
❤52😢11👏5🥴2
Showing the 12 most recent of 20 posts we hold for @RetroProduct. 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.
Citation-graph rank
Citation-graph rank — 290,737 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@RetroProduct named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 8 August 2026 – 9 August 2026
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.
@Playlistpodcas · 152,133
Telegram ranks this channel #68 of 95 here — alongside 94 others — read 12 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“↻ Retro Product | رترو پروداکت” (@RetroProduct), 3,756 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/RetroProduct.
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.