4 measurements spanning 3 days, net +29. 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 7,941–7,978 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 19:12
7,974
+28
7 Aug 2026, 18:55
7,946
+1
7 Aug 2026, 12:32
7,945
no change
7 Aug 2026, 12:29
7,945
first reading
Engagement
17 posts held, back to 3 March 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 10 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
35.8%
avg views ÷ 7,974 subscribers
Avg views / post
2,860
2 posts measured
Reaction rate
1.28%
reactions ÷ views · ER floor
Posts in window
2
of 17 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
Window
Rolling 30 days · latest post in window 15 July 2026
Posts held
17 (3 March 2026 – 15 July 2026)
Views total
5,710
Reactions total
73
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 16:57 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
328
Videos
46
Links
436
Lifetime counters from Telegram’s own channel header, read 12 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
453 reactions across 16 posts, in 16 distinct kinds. The most used accounts for 39.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
180
39.7%
👍
113
24.9%
💔
43
9.49%
🤣
39
8.61%
😢
25
5.52%
🥱
13
2.87%
🤔
10
2.21%
😭
8
1.77%
👎
4
0.883%
🗿
4
0.883%
🍌
3
0.662%
👌
3
0.662%
👏
3
0.662%
🔥
2
0.442%
🙏
2
0.442%
😁
1
0.221%
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 16 of the 17 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 453reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 3 March 2026 to 15 July 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.
این سوال تو چند تا مصاحبه ازم پرسیده شده، ولی چیزی که بیشتر از همه یادمه مصاحبه با یکی از شرکتهای زیرمجموعه فولکس واگن بود.
با یک geek مصاحبه داشتم، لایو کد بود و بعدش رسیدیم به بخش سوالها. این سوال رو ازم پرسید و هر جوابی که میدادم، یک چرا یا چطور میذاشت اولش و هی عمیقتر میشد تا جایی که دیگه جوابش رو بلد نبودم. ولی خیلی برام آموزنده بود.
مثلا سادهترین جواب به این سوال اینه که سیستم شما از طریق DNS آدرس IP مربو…
یکی از سوالات مورد علاقم تو مصاحبه ها همیشه:
اگه تو مرورگرتون google.com بنویسید و enter رو بزنید چه اتفاقاتی میفته.
با همین سوال میشه عمق دانش نتورک و از همه مهم تر, میزان کنجکاوی کاندید رو تا حدی سنجید.
@PyBackendHub
با این راهحل دیگه پورتهای ۸۰/۴۴۳ نیازی نیست باز بمونن. برای بسته نگه داشتن بقیهی پورتها (از جمله پورت ssh که میشه ۲۲) هم چند تا سولوشن هست.
راهکار اول: Hub-and-Spoke VPN
یعنی چی؟ یعنی یک سرور مرکزی وجود داره که کلاینتها رو بهم وصل میکنه.
من حقیقتاً از این سولوشن خوشم نمیاد، به دو دلیل:
1. کافیه یک لحظه سرور VPN بیاد پایین تا کلاً کانکشن بیرون نتورک با داخلش کامل قطع بشه.
2. مشکل latency: فرض کنید شما تو تهرا…
یک پست آموزشی در خصوص دیپلوی کردن به روش امن تر و ریسک هایی که شاید نمیدونستید وجود دارن.
معمولاً یک IP دارید که آیپی سرورتون هست و اونجا دیپلوی میکنید.
مشکل اول: DDoS
برای امن شدن در برابر DDoS معمولاً میاین سراغ یک سرویسی مثل Cloudflare. دامینتون رو اونجا ثبت میکنید، name serverتون رو کلادفلیر میکنید، و اگه رو DNS پروکسی زده باشید خودش منیج میکنه که زیر حمله Under Attack Mode فعال بشه.
منتهی این مدل خودش دو…
این روزا برای استخدام نیرو چیکار میکنید؟
عملا با اومدن opus 4.8 و fable 5 دیگه واقعا take home assignment ارزشی نداره.
یادمه همون assignment ای که به کاندید ها میدادیم و از ۱۰ نفر ۱ نفر درست حلش میکردن الان اینطوریه که همه دارن درست حل میکنن.
حالا مشکل چیه اگه یک نفر از AI استفاده کنه؟ مشکلی نداره.قبلا توضیح دادم کد زدن کلا دو مرحلست, مرحله اول شما raw requirement رو میگیرید و یک پلن مینویسید. که چطور این فیچر با…
کلا کرسر نخرید پولتون رو دور میریزید
با ۲۰ دلار کرسر میتونید تهش ۱.۵ میلیون توکن مصرف کنید
همون رو برید رو خود کلاود تا ۵۰-۱۰۰ میلیون مصرف میکنید...
اینم اضافه کنم که اگه سمت codex برید حتی مصرفش کمتره و بیشتر میتونید استفاده کنید. ولی خب در عوض پرفومنسش نسبت به مدل های opus ضعیف تره.
@PyBackendHub
این همون RTK هست که بهش اشاره کردم (Rust token killer)
https://github.com/rtk-ai/rtk
اینم graphify هست. به جای اینکه هربار کل کدتون رو بخونه، graph کدتون رو میخونه و متوجه میشه چطوری پروژتون organize شده و کمتر توکن مصرف میکنه. دقت کنید این خودش با AI جنریت میشه. وقتی کدتون رو زیاد تغییر میدید حتما ریجنریت کنید.
https://github.com/safishamsi/graphify
تو کامنت ها به AI اشاره کردن، نسبتا تو این یک سال گذشته AI پیشرفت زیادی داشته و خودمم زیاد استفاده میکنم اخیرا. اولا توصیه میکنم یک پلن ۲۰ دلاری claude code رو بگیرید چون از همه چیز بهتره. برای اینکه usage تون سریع تموم نشه از RTK استفاده کنید. RTK چیه؟ یک ابزار cli proxyکه وقتی مثلا شما مینویسی rtk git status همون ریزالتو خلاصه تر و بهتر تو توکن کمتری بهتون میده (بدون استفاده از AI، کامند های معروف رو میشناسه و اونا…
یک paper اومده بیرون تحقیق کرده رو اینکه خروجی llm ها چقدر بهتر میشه اگه با llm بی ادب باشه
https://arxiv.org/pdf/2510.04950
بدترین نسخش اینه:
You poor creature, do you even know how to solve this? Hey gofer, figure this out. I know you are not smart, but try this.
و بهترین نسخش اینه:
Can you kindly consider the following problem and provide your answer. Can I request your assistance with this question. Would y…
Showing the 12 most recent of 17 posts we hold for @PyBackEndHub. 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.
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.
پادکست پلی لیست|Playlist @Playlistpodcas · 152,133 Telegram ranks this channel #38 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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Python BackendHub” (@PyBackEndHub), 7,974 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/PyBackEndHub.
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.
