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Channel

Python BackendHub

@PyBackEndHub

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

8,448subscribers

+503 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001886180926
TypeChannel
Username@PyBackEndHub
DescriptionLearning python & Backend Engineering, with Mani! Youtube: https://www.youtube.com/@GitOverHere Github: https://github.com/ManiMozaffar Linkedin: https://www.linkedin.com/in/manimozaffar ❌تبلیغات نداریم❌ Admin: @Mani_nikou
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live3 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/PyBackEndHub

Topic

Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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 the other topics.

Growth

7,9458,4488,196.57 August 2026 — 7,945 subscribers7 August 2026 — 7,945 subscribers7 August 2026 — 7,946 subscribers10 August 2026 — 7,974 subscribers14 August 2026 — 8,002 subscribers17 August 2026 — 8,036 subscribers20 August 2026 — 8,059 subscribers23 August 2026 — 8,089 subscribers27 August 2026 — 8,103 subscribers29 August 2026 — 8,142 subscribers1 September 2026 — 8,169 subscribers5 September 2026 — 8,197 subscribers10 September 2026 — 8,229 subscribers14 September 2026 — 8,253 subscribers18 September 2026 — 8,282 subscribers28 September 2026 — 8,329 subscribers5 October 2026 — 8,361 subscribers12 October 2026 — 8,378 subscribers15 October 2026 — 8,395 subscribers18 October 2026 — 8,398 subscribers21 October 2026 — 8,402 subscribers24 October 2026 — 8,411 subscribers27 October 2026 — 8,421 subscribers31 October 2026 — 8,439 subscribers3 November 2026 — 8,448 subscribers7 August 20263 November 2026
25 measurements spanning 88 days, net +503. 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 7,870–8,523 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
3 Nov 2026, 00:388,448+9
31 Oct 2026, 00:508,439+18
27 Oct 2026, 19:398,421+10
24 Oct 2026, 16:168,411+9
21 Oct 2026, 07:498,402+4
18 Oct 2026, 05:288,398+3
15 Oct 2026, 10:168,395+17
12 Oct 2026, 08:578,378+17
5 Oct 2026, 17:008,361+32
28 Sept 2026, 12:378,329+47
18 Sept 2026, 21:418,282+29
14 Sept 2026, 07:418,253+24
10 Sept 2026, 18:018,229+32
5 Sept 2026, 20:198,197+28
1 Sept 2026, 11:548,169+27
29 Aug 2026, 18:178,142+39
27 Aug 2026, 03:348,103+14
23 Aug 2026, 22:538,089+30
20 Aug 2026, 12:428,059+23
17 Aug 2026, 13:448,036first reading

Engagement

18 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 23 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.0%
avg views ÷ 8,448 subscribers
Avg views / post
1,860
1 post measured
Reaction rate
1.34%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 23 October 2026
Posts held18 (3 March 2026 – 23 October 2026)
Views total1,860
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 22:58 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
437

Lifetime counters from Telegram’s own channel header, read 4 November 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

521 reactions across 17 posts, in 19 distinct kinds. The most used accounts for 40.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤21340.9%
👍13325.5%
💔448.45%
🤣407.68%
😢264.99%
🥱132.50%
🤔101.92%
😭81.54%
👎71.34%
🗿50.96%
👌40.768%
👏40.768%
🍌30.576%
🔥30.576%
😁30.576%
🙏20.384%
✍10.192%
💋10.192%
🤮10.192%

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 17 of the 18 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 521 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 3 March 2026 to 23 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

Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

23 Oct 2026, 17:36 UTC≈1,860 views25 reactionsread 4 November 2026

نسخه جدید RichAPI منتشر شد. ممنون میشم استار بدید 🫶❤️ https://github.com/ManiMozaffar/richapi این لایبری رو ۲-۳ سال پیش نوشتم. کاری که میکنه اینه که از abstract syntax tree میره میبینه کد شما چه API Error هایی ممکنه بده. و اونا رو براتون داخل OpenAPI json اضافه میکنه. چه نیازی میشه؟ ۱. طبیعتا اینتگریشن frontend رو بهتر میکنه. چون فرانت میتونه دقیقا از یک لایبری code generator استفاده کنه از رو openapi. و وقتی یک e…

❤18👍4👎2🔥1

Signed Mani

15 Jul 2026, 14:17 UTC≈7,570 views54 reactionsread 4 November 2026

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…

👍32❤17👌4👏1

Signed Mani

15 Jul 2026, 13:13 UTC≈5,920 views45 reactionsread 4 November 2026

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

👍33🗿5🥱3😁2✍1👎1

Signed Mani

5 Jul 2026, 12:02 UTC≈6,810 views30 reactionsread 4 November 2026

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…

❤22👍4🥱4

Signed Mani

5 Jul 2026, 07:57 UTC≈5,290 views29 reactionsread 4 November 2026

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…

❤22👍5👏2

Signed Mani

3 Jul 2026, 15:18 UTC≈4,550 views23 reactionsread 4 November 2026

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…

🤔10❤7👍4👎1😭1

Signed Mani

20 Jun 2026, 08:12 UTC≈6,240 views29 reactionsread 4 November 2026
Photo

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

👍26👎2🤣1

Signed Mani

20 Jun 2026, 07:15 UTC≈5,460 views10 reactionsread 4 November 2026

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

👍6🙏2❤1💋1

Signed Mani

20 Jun 2026, 07:09 UTC≈4,640 views24 reactionsread 4 November 2026

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…

❤18👍6

Signed Mani

19 Jun 2026, 21:58 UTC≈3,750 viewsread 4 November 2026

دغدغه و چالش این روزاتون چیه؟ میخوام ببینم راجب چی پست بذارم یا محتوا تولید کنم ..

Signed Mani

28 May 2026, 13:17 UTC≈6,610 views32 reactionsread 4 November 2026

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…

🤣28👍2❤1👎1

Signed Mani

27 May 2026, 17:25 UTC≈5,120 views36 reactionsread 4 November 2026

بعد از ۸۸ روز 🙂

💔27😭7🤣2

Signed Mani

Showing the 12 most recent of 18 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.

Programming Resources
@pythony · 19,734
Telegram ranks this channel #1 of 95 here — alongside 94 others — read 30 September 2026
Linuxor ?
@Linuxor · 33,993
Telegram ranks this channel #4 of 85 here — alongside 84 others — read 7 September 2026
Data Science | علم داده
@DataScience_ir · 50,255
Telegram ranks this channel #4 of 92 here — alongside 91 others — read 25 August 2026
DevTwitter | توییت برنامه نویسی
@devtwitter · 33,095
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 5 September 2026
DLeX: AI Python
@ai_python · 21,307
Telegram ranks this channel #7 of 94 here — alongside 93 others — read 23 September 2026
پایتون | Data Science | Machine Learning
@Python4all_pro · 24,035
Telegram ranks this channel #7 of 91 here — alongside 90 others — read 16 September 2026
Machine Learning | یادگیری ماشین
@MachineLearning_ir · 34,723
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 3 September 2026
جادی | Jadi
@jadivarlog · 105,412
Telegram ranks this channel #7 of 94 here — alongside 93 others — read 15 August 2026
برنامه نویسی پایتون | هوش مصنوعی | دیتاساینس
@persianovin_channel · 19,121
Telegram ranks this channel #9 of 90 here — alongside 89 others — read 4 October 2026
Python Forever
@PythonForever · 131,970
Telegram ranks this channel #9 of 76 here — alongside 75 others — read 13 August 2026
هوش مصنوعی |یادگیری ماشین| علم داده
@Ai_Tv · 26,420
Telegram ranks this channel #17 of 94 here — alongside 93 others — read 12 September 2026
Job Finding | Search for your job
@jobs_finding · 20,515
Telegram ranks this channel #18 of 95 here — alongside 94 others — read 26 September 2026
کتابخانه مهندسی کامپیوتر و پایتون
@programmers_street · 30,894
Telegram ranks this channel #18 of 87 here — alongside 86 others — read 6 September 2026
• AI & Python •
@AIPyth0n · 22,068
Telegram ranks this channel #19 of 66 here — alongside 65 others — read 21 September 2026
Anki Decks
@AlienAnkiDecks · 19,653
Telegram ranks this channel #20 of 87 here — alongside 86 others — read 3 October 2026
Learn Python
@learnpy · 21,298
Telegram ranks this channel #20 of 90 here — alongside 89 others — read 23 September 2026
CE Tweet | News
@UT_twCE · 29,810
Telegram ranks this channel #22 of 94 here — alongside 93 others — read 6 September 2026
Geek Alerts
@geekalerts · 18,690
Telegram ranks this channel #24 of 89 here — alongside 88 others — read 4 October 2026
برنامه نویسی | پایتون
@Pythoni_Developers · 75,380
Telegram ranks this channel #26 of 82 here — alongside 81 others — read 19 August 2026
Milad Nouri(ツ) میلاد نوری
@miladnourichannel · 27,165
Telegram ranks this channel #33 of 91 here — alongside 90 others — read 10 September 2026
ویکی تجربه - استخدام و بررسی شرکت ها
@wiki_tajrobe · 79,875
Telegram ranks this channel #34 of 92 here — alongside 91 others — read 18 August 2026
Programmer Jokes
@programmerjokes · 106,097
Telegram ranks this channel #34 of 90 here — alongside 89 others — read 15 August 2026
پادکست پلی لیست|Playlist
@Playlistpodcas · 156,178
Telegram ranks this channel #38 of 95 here — alongside 94 others — read 12 August 2026
Job Offer‌ With me 🎉💪
@get_joboffer · 19,236
Telegram ranks this channel #39 of 96 here — alongside 95 others — read 2 October 2026

This channel appears in 80 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“Python BackendHub” (@PyBackEndHub), 8,448 subscribers as measured 3 November 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.