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Channel

Persian GitHub

@RepoFA

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Cite this entry

15,717subscribers

+9,044 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1003940006222
TypeChannel
Username@RepoFA
Descriptionرسالت ما – مرجع معرفی و حمایت از پروژه‌های کاربردی اوپن‌سورس برای توسعه‌دهندگان و کاربران. x.com/PersianGitHub :اکس گروه: t.me/RepoFaGP ربات گیتهاب و ارسال پروژه: @GitHubLensBot ارتباط: t.me/RepoFA?direct
CreatedBetween 1 April 2026 and 2 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held46
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/RepoFA

Topic

Technology — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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

6,67315,71711,1956 August 2026 — 6,673 subscribers6 August 2026 — 6,673 subscribers6 August 2026 — 6,701 subscribers9 August 2026 — 6,802 subscribers12 August 2026 — 7,096 subscribers15 August 2026 — 7,360 subscribers18 August 2026 — 7,545 subscribers21 August 2026 — 7,737 subscribers25 August 2026 — 8,044 subscribers27 August 2026 — 8,183 subscribers31 August 2026 — 8,321 subscribers3 September 2026 — 8,515 subscribers8 September 2026 — 9,318 subscribers12 September 2026 — 9,467 subscribers16 September 2026 — 9,819 subscribers25 September 2026 — 11,528 subscribers4 October 2026 — 11,843 subscribers8 October 2026 — 12,047 subscribers12 October 2026 — 12,353 subscribers14 October 2026 — 12,391 subscribers15 October 2026 — 12,426 subscribers16 October 2026 — 12,453 subscribers17 October 2026 — 12,488 subscribers18 October 2026 — 12,874 subscribers19 October 2026 — 13,037 subscribers20 October 2026 — 13,707 subscribers21 October 2026 — 13,854 subscribers22 October 2026 — 13,987 subscribers23 October 2026 — 14,150 subscribers24 October 2026 — 14,217 subscribers25 October 2026 — 14,250 subscribers26 October 2026 — 14,317 subscribers27 October 2026 — 14,465 subscribers28 October 2026 — 14,646 subscribers29 October 2026 — 14,691 subscribers30 October 2026 — 14,871 subscribers31 October 2026 — 15,055 subscribers1 November 2026 — 15,158 subscribers2 November 2026 — 15,242 subscribers3 November 2026 — 15,363 subscribers4 November 2026 — 15,460 subscribers5 November 2026 — 15,498 subscribers6 November 2026 — 15,535 subscribers7 November 2026 — 15,588 subscribers8 November 2026 — 15,663 subscribers10 November 2026 — 15,717 subscribers6 August 202610 November 2026
46 measurements spanning 96 days, net +9,044. 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 5,316–17,074 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)SubscribersChange
10 Nov 2026, 02:5415,717+54
8 Nov 2026, 20:0715,663+75
7 Nov 2026, 13:1015,588+53
6 Nov 2026, 13:3515,535+37
5 Nov 2026, 16:1115,498+38
4 Nov 2026, 19:1515,460+97
3 Nov 2026, 18:2015,363+121
2 Nov 2026, 18:3915,242+84
1 Nov 2026, 16:5115,158+103
31 Oct 2026, 15:0615,055+184
30 Oct 2026, 13:2014,871+180
29 Oct 2026, 12:3714,691+45
28 Oct 2026, 14:0414,646+181
27 Oct 2026, 11:0514,465+148
26 Oct 2026, 13:2714,317+67
25 Oct 2026, 11:2014,250+33
24 Oct 2026, 12:3114,217+67
23 Oct 2026, 14:3514,150+163
22 Oct 2026, 12:1113,987+133
21 Oct 2026, 03:5013,854first reading

Engagement

227 posts held, back to 2 August 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 38 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
32.7%
avg views ÷ 15,717 subscribers
Avg views / post
5,140
69 posts measured
Reaction rate
0.913%
reactions ÷ views · ER floor
Posts in window
69
of 227 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 11 November 2026
Posts held227 (2 August 2026 – 11 November 2026)
Views total354,890
Reactions total3,240
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 08:36 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
756
Videos
45
Links
975

Lifetime counters from Telegram’s own channel header, read 11 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.

Video runtime
14m 50s
Average length
1m 39s

Measured directly from 9 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

9,940 reactions across 221 posts, in 28 distinct kinds. The most used accounts for 67.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6,74267.8%
👍1,08110.9%
🔥1,04210.5%
😁2512.53%
👏1771.78%
👎1241.25%
❤‍🔥940.946%
👌920.926%
🍓900.905%
🤨800.805%
😭240.241%
😎230.231%
🍾210.211%
🎉180.181%
👻180.181%
🌚150.151%
🤯130.131%
🆒50.05%
🏆50.05%
👨‍💻50.05%
8 further kinds200.201%

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 226 of the 227 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 10,112 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 227 most recent posts we hold, published 2 August 2026 to 11 November 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.

Telegram Stars

Stars received
23
across the posts below
Posts paid on
16
of 226 we hold a reading for · 7%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @RepoFA. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 227 most recent posts we hold for this entry, published 2 August 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 6 of 69 posts held from the last 30 days (8.70%) 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).

11 Nov 2026, 05:52 UTC≈1,910 views27 reactionsread 11 November 2026
Photo

با Interactive Iran Map می‌تونی نقشه ایران رو به شکلی جذاب و تعاملی کاوش کنی. کافیه نشانگر ماوس رو روی هر استان ببری تا تصویر اون منطقه داخل محدوده جغرافیایی خودش نمایش داده بشه؛ با کلیک هم اطلاعاتی مثل مرکز استان، جمعیت، مساحت و توضیحات اون رو مشاهده می‌کنی. https://interactive-iran-map.vercel.app https://github.com/HamzehGhoreyshi/interactive-iran-map @RepoFA

🔥23❤3❤‍🔥1

10 Nov 2026, 23:33 UTC≈3,030 views41 reactionsread 11 November 2026
Photo

راه‌اندازی پروکسی اختصاصی تلگرام روی ورکر کلودفلر با پروتکل جدید WEB Proxy. پروژه ProxyGosha روشی نوین و بدون سرور برای عبور از فیلترینگ تلگرام با استفاده از پروتکل جدید WEB Proxy است. این پروتکل ترافیک تلگرام را کاملاً در قالب ترافیک استاندارد HTTPS عبور می‌دهد و به‌سادگی مسدود نمی‌شود. این ابزار روی پلن رایگان Cloudflare Workers اجرا شده و با داشتن صفحه فریب (Decoy)، ترافیک را مانند یک وب‌سایت عادی نشان می‌دهد تا…

👍32❤9

10 Nov 2026, 19:58 UTC≈3,680 views34 reactionsread 11 November 2026
Photo

ایجنت کدنویسی دولایه با اولویت حفظ حریم خصوصی برای جلوگیری از افشای سورس‌کد. ارسال کدهای اختصاصی به مدل‌های ابری هوش مصنوعی همیشه با نگرانی‌های امنیتی همراه است. پروژه Mentat با یک معماری دولایه، امکان استفاده از مدل‌های زبانی قدرتمند Claude را بدون خارج شدن سورس‌کد اصلی از دستگاه ممکن می‌سازد. در این سیستم، مدل محلی ابتدا نسخه‌ای ساختگی و امن از کدبیس تهیه می‌کند و پس از دریافت پاسخ ابری، تغییرات را به‌صورت خودکار…

❤28👍4🤨2

10 Nov 2026, 17:37 UTC≈7,620 views41 reactionsread 11 November 2026

اگه دانلود فایل از گیت‌هاب براتون مشکل داره! میتونید از ربات گیتهاب لنز برای دانلود سورس کد و Releaseهای ریپو استفاده کنید 👇🏻 @GitHubLensBot کافیه ربات رو استارت کنید ← «جزئیات مخزن» رو بزنید ← آدرس ریپو رو بفرستید ← «دانلود ریلیز/دانلود مخزن» رو انتخاب کنید.

❤‍🔥28❤9🔥3👍1

10 Nov 2026, 16:09 UTC≈4,350 views45 reactionsread 11 November 2026

موتور بازی‌سازی دوبعدی سبک و بهینه با هسته راست، اسکریپت‌نویسی پایتون و ویرایشگر بصری. بسیاری از موتورهای بازی‌سازی رایج حجیم و پیچیده هستند و کتابخانه‌های سبک نیز فاقد محیط بصری مناسب می‌باشند. موتور Pite بستری مدرن فراهم می‌کند تا با ترکیب سرعت بالای زبان Rust و انعطاف‌پذیری پایتون، منطق بازی‌های دوبعدی را به سادگی توسعه دهید. این موتور با پکیج فوق‌العاده کم‌حجم بیست مگابایتی بر مبنای صحنه و نود طراحی شده و قابلی…

❤41❤‍🔥2👎2

10 Nov 2026, 11:50 UTC≈4,530 views24 reactionsread 11 November 2026

پایگاه داده گرافی سبک، درون‌برنامه‌ای و تمام‌پایتونی برای مدیریت گراف‌های دانش. استفاده از دیتابیس‌های گرافی مجزا معمولاً مستلزم راه‌اندازی سرورهای سنگین، وابستگی‌های متعدد و تنظیمات پیچیده است. پروژه Graphite یک موتور گرافی درون‌حافظه‌ای با پایتون خالص است که امکان مدل‌سازی و ذخیره‌سازی داده‌های شبکه‌ای را در قالب فایل‌های ساده JSON فراهم می‌کند. این کتابخانه با پشتیبانی از یک میلیون گره، عملکردی سریع‌تر از Networ…

❤24

10 Nov 2026, 11:46 UTC≈4,380 views25 reactionsread 11 November 2026
Photo

ابزاری تحت وب و ساده برای پشتیبان‌گیری و بازیابی آسان پایگاه‌های داده PostgreSQL. مدیریت دستی فایل‌های پشتیبان و اجرای مداوم دستورات خط فرمان برای توسعه‌دهندگان روندی زمان‌بر است. پروژه dbBackup_manager با ارائه یک رابط کاربری مدرن، فرایند ایجاد بکاپ و بازگردانی دیتابیس‌های محلی پستگرس را ساده و سازمان‌یافته می‌کند. این برنامه بر پایه Java 21، Spring Boot و React توسعه یافته و شامل مدیریت محلی فایل‌ها همراه با اسکر…

❤24🍓1

9 Nov 2026, 20:01 UTC≈4,880 views39 reactionsread 11 November 2026
Photo

برای نوشتن رزومه حرفه‌ای، باید با استفاده از یک قالب قابل اعتماد، تنها روی محتوا تمرکز کرد. نمود قالبی ATS-Friendly برای ساخت سریع و آسان رزومه است که نیاز به تنظیم دستی فاصله‌ها، فونت، اندازه متن و صفحه‌بندی را برطرف می‌کند. اطلاعات فقط در یک فایل JSON وارد شده و با استفاده از Zod اعتبارسنجی می‌شوند. همچنین امکان پیش‌نمایش زنده نیز وجود دارد. https://github.com/soheilAla/nemud @RepoFA

❤33👍4👏2

9 Nov 2026, 09:01 UTC≈5,070 views27 reactionsread 11 November 2026
Photo

ابزاری نیتیو و کم‌حجم در منوبار سیستم‌عامل مک برای مدیریت و بستن سریع پورت‌های فعال. هنگام توسعه برنامه‌ها، باز ماندن پورت‌های لوکال‌هاست توسط سرورهای تستی اغلب باعث تداخل می‌شود. پروژه PortPilot با حضور در منوبار، پورت‌های اشغال‌شده را بلادرنگ شناسایی کرده و امکان توقف پروسه‌ها را با یک کلیک فراهم می‌سازد. این ابزار با زبان Swift به‌صورت کاملاً محلی پیاده‌سازی شده و جزئیاتی مانند نام برنامه و PID را نمایش می‌دهد ت…

❤25👍2

8 Nov 2026, 21:24 UTC≈5,310 views41 reactionsread 11 November 2026
Photo

دوره‌ای متنی، کاربردی و گام‌به‌گام برای یادگیری اصولی برنامه‌نویسی غیرهمزمان در پایتون به زبان فارسی. این دوره با بیانی ساده و روان، مفاهیم کلیدی asyncio مانند حلقه‌ی رویداد (Event Loop)، تسک‌ها و سازوکار async و await را با مثال‌های ملموس آموزش می‌دهد تا بدون درگیری با تئوری‌های پیچیده، کدهای غیرهمزمان بنویسید. سرفصل‌های این آموزش شامل دانلود هم‌زمان داده‌ها، مدیریت خطاهای ورودی و خروجی و تست‌نویسی اصولی است که تو…

❤36👍3👎2

8 Nov 2026, 13:26 UTC≈5,320 views20 reactionsread 11 November 2026
Photo

الگوهای معماری و آماده تولید برای پیاده‌سازی مطمئن ایجنت‌های هوش مصنوعی با LangGraph و MCP. این مخزن راهنمایی کاربردی برای توسعه ایجنت‌های هوش مصنوعی فراتر از دموهای ساده است و نحوه فراخوانی استاندارد ابزارها، اعتبارسنجی ورودی‌ها و مهار خطاها را آموزش می‌دهد. این الگوها بر پایه چالش‌های واقعی سیستم‌های عملیاتی طراحی شده‌اند. https://github.com/MatinLabkhandagh/mcp-agent-production-patterns 🐙 @RepoFA

❤19👍1

8 Nov 2026, 08:15 UTC≈5,230 views44 reactionsread 11 November 2026

قیمت لحظه‌ای ارز، طلا و سکه رو همراه با تاریخچه تغییرات دنبال کنید! نبض بازار یه پروژه اوپن‌سورسه که قیمت ۳۷ دارایی مختلف رو نمایش میده. نمودار روند ۶ ماهه، آرشیو تاریخی قیمت‌ها و API رایگان برای دریافت اطلاعات بازار هم داره. https://github.com/itsyebekhe/nabz 🐙 @RepoFA

❤38👍3👎2🏆1

Showing the 12 most recent of 227 posts we hold for @RepoFA. 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.

Posts recorded as deleted after publishing

We recorded 5 posts on @RepoFA as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
28 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
24 hours
Seen missing in the last 30 days
4

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

Named by 18 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Persian GitHub” (@RepoFA), 15,717 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/RepoFA.

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.