Telegram RegisterThe public register of Telegram

Channel

Software Philosophy

@SoftwarePhilosophy

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

3,454subscribers

-3 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001033562606
TypeChannel
Username@SoftwarePhilosophy
CreatedBetween 1 February 2016 and 31 May 2016— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/SoftwarePhilosophy

Growth

3,4533,4573,4555 August 2026 — 3,457 subscribers6 August 2026 — 3,457 subscribers6 August 2026 — 3,455 subscribers9 August 2026 — 3,453 subscribers12 August 2026 — 3,454 subscribers3,4545 August 202612 August 2026
5 measurements spanning 6 days, net -3. 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 3,452–3,458 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 03:323,454+1
9 Aug 2026, 14:173,453-2
6 Aug 2026, 11:213,455-2
6 Aug 2026, 04:363,457no change
5 Aug 2026, 21:163,457first reading

Engagement

21 posts held, back to 24 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.8%
avg views ÷ 3,454 subscribers
Avg views / post
824
5 posts measured
Reaction rate
1.04%
reactions ÷ views · ER floor
Posts in window
5
of 21 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 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held21 (24 December 20257 August 2026)
Views total4,118
Reactions total36
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:13 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
45s
Average length
45s

Measured directly from 1 video 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

248 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 47.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11847.6%
👍8233.1%
🔥3313.3%
👎72.82%
👏41.61%
🤔20.806%
😱10.403%
🤯10.403%

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 21 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 248reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 24 December 2025 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.

Telegram Stars

Stars received
11
across the posts below
Posts paid on
6
of 21 we hold a reading for · 29%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @SoftwarePhilosophy. 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 21 most recent posts we hold for this entry, published 24 December 2025 to 7 August 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

7 Aug 2026, 16:06 UTC318 views4 reactionsread 7 August 2026

ما اخیراً سیستم‌های AI خودمون رو به MAF منتقل کردیم و واقعاً فوق‌العاده بوده! این جمله واسه من نیست. کامنت @CrystaCode تویOn .NET Live بود :) البته من ترجمش رو گذاشتم اینجا... در این ویدیو Daniel Costea، در مورد ساختار Middleware ها در Microsoft Agentic Framework صحبت می‌کند. او Middlewareها را به سه نوع تقسیم می‌کند و با مدل ذهنی prepare → handle → invoke توضیح می‌دهد؛ مدلی که برای هر کسی که قبلاً با Middleware

4

1 Aug 2026, 10:15 UTC655 viewsread 7 August 2026

دی‌کانستراکشن تاپل (Tuple Deconstruction) در سی‌شارپ #csharp_for_beginners قابلیت دی‌کانستراکشن تاپل (Tuple Deconstruction) از نسخه سی‌شارپ ۷.۰ به زبان سی‌شارپ اضافه شد. این قابلیت به شما اجازه می‌دهد اعضای یک Tuple را به‌طور هم‌زمان در چند متغیر مستقل قرار دهید. به این ترتیب دیگر نیازی نیست برای دسترسی به هر عضو از Item1، Item2 یا نام اعضای Tuple استفاده کنید و می‌توانید تمام مقادیر را تنها با یک دستور استخراج کنی

29 Jul 2026, 10:56 UTC715 views8 reactions2 Starsread 7 August 2026
Forwarded from @CrystaCodeVideo

🚀 @CrystaCode is officially open to everyone! 🔗 https://crystacode.ai

3👍3🔥2

25 Jul 2026, 10:15 UTC≈1,100 views12 reactionsread 7 August 2026

آشنایی با Union Types در سی‌شارپ ۱۵ #csharp_for_beginners یکی از قابلیت‌های جذابی که قرار است به سی‌شارپ ۱۵ اضافه شود، Union Types است. این ویژگی سال‌هاست در زبان‌هایی مانند TypeScript وجود دارد و به توسعه‌دهندگان اجازه می‌دهد نوعی تعریف کنند که بتواند یکی از چند نوع مشخص را در خود نگه دارد. فرض کنید می‌خواهیم مجموعه‌ای از حیوانات خانگی را نگهداری کنیم: List<object> pets = [ new Dog("Fido"), new Cat("tabb

6👍6

17 Jul 2026, 15:03 UTC≈1,330 views12 reactionsread 7 August 2026

مدل Kimi K3 توسط Moonshot AI منتشر شد این مدل با ۲.۸ تریلیون پارامتر، بزرگترین مدل متن‌باز جهان است. ساختار فنی: از معماری MoE استفاده می‌کند. برای هر توکن تنها ۱۶ اکسپرت از ۸۹۶ اکسپرت فعال می‌شوند. بر پایه Kimi Delta Attention ساخته شده و بازدهی مقیاس‌پذیری آن ۲.۵ برابر K2 است. پنجره زمینه ۱ میلیون توکنی دارد و درک تصویر به صورت بومی در آن ادغام شده است. عملکرد و مقایسه: در کدنویسی فرانت‌اند (Arena.ai) رتبه اول ر

9👍2🔥1

7 Jul 2026, 10:18 UTC≈1,210 views7 reactionsread 7 August 2026

پیاده‌سازی Linked List در سی‌شارپ #csharp_for_beginners در این مقاله، ساختار دادهٔ LinkedList در زبان سی‌شارپ معرفی شده است. این ساختار یک لیست پیوندی دوطرفه (Doubly Linked List) است که امکان درج و حذف سریع عناصر را در هر نقطه از لیست فراهم می‌کند. برخلاف آرایه‌ها، عناصر در حافظه به‌صورت پشت‌سرهم ذخیره نمی‌شوند و هر عنصر در قالب یک گره (Node) نگهداری می‌شود. ساختار LinkedList هر گره در LinkedList<T> شامل سه بخش اس

🔥42👎1

4 Jul 2026, 10:30 UTC≈1,340 views11 reactionsread 7 August 2026

مفهوم Harness در دنیای AI خیلی اوقات در حالیکه انتظار داریم پرامپتی که نوشته‌ایم کار کند ولی کار نمی‌کند (در برنامه‌نویسی). بیشتر وقت‌ها کاری که می‌کنیم بهبود پرامپت و یا استفاده از مدل بهتر است، ولی باز هم تاثیری ندارد، هر چقدر هم توضیح دهیم که اول چک کن که کاربر لاگین باشد و بعد این کار را انجام بده، باز هم نمی‌شه که نمی‌شه! واقعیت این است که خیلی از کارها پیچیده‌تر از آن هستند که با بهبود پرامپت بتوان ببهبودشان د

9👍1🔥1

30 Jun 2026, 10:21 UTC≈1,290 views10 reactionsread 7 August 2026

کلاس Static در سی‌شارپ #csharp_for_beginners در زبان سی‌شارپ، کلاس Static کلاسی است که با کلیدواژه static تعریف می‌شود. این نوع کلاس فقط می‌تواند شامل اعضای استاتیک (مانند فیلدها، متدها، ویژگی‌ها و رویدادها) باشد و امکان ساختن شیء (Object) از آن وجود ندارد. اعضای آن مستقیماً از طریق نام کلاس فراخوانی می‌شوند. تعریف کلاس Static: static class Utility { public static void PrintMessage(string msg) { C

👍10

27 Jun 2026, 10:15 UTC≈1,450 views14 reactionsread 7 August 2026

هوش مصنوعی در دات‌نت بدون پیچیدگی وقتی تصمیم می‌گیرید یک چت‌بات هوشمند بسازید، اولین سوالات خیلی زود ظاهر می‌شوند: - داده‌ها از کجا باید بیایند؟ - چطور باید پردازش شوند؟ - اگر چند ایجنت مختلف داشته باشم، چطور باید با هم هماهنگ کار کنند؟ در اکوسیستم دات‌نت مجموعه‌ای از ابزارها و کتابخانه‌های آماده وجود دارد که دقیقاً برای پاسخ‌دادن به همین نیازها طراحی شده‌اند. از ابزارهای پایه برای اتصال به مدل‌های هوش مصنوعی گرفته

11👍1👎1👏1

23 Jun 2026, 10:15 UTC≈1,350 views7 reactionsread 7 August 2026

لینک (LINQ) در سی‌شارپ #csharp_for_beginners لینک (LINQ) یا Language Integrated Query قابلیتی در زبان سی‌شارپ است که امکان جستجو، فیلتر و پردازش داده‌ها را مستقیماً داخل خود زبان فراهم می‌کند. در گذشته برای کار با منابع داده مختلف مثل SQL، XML یا سرویس‌های وب باید از زبان‌های جداگانه استفاده می‌شد، اما LINQ این مشکل را حل می‌کند و همهٔ عملیات کوئری‌نویسی را به شکلی یکپارچه داخل #C ارائه می‌دهد. ویژگی‌های اصلی LIN

👍52

21 Jun 2026, 10:15 UTC≈2,430 views20 reactionsread 7 August 2026

تغییرات اخیر دات‌نت ۱۱، Runtime, libraries, SDK for the AI Era (بیلد ۲۰۲۴) در این ویدئو که قسمتی از کنفرانس BUILD 2026 است تغییرات اخیر دات‌نت ۱۱ بررسی می‌شود. یکی از قسمت‌های جالب این تغییرات، بخش‌هایی هستند که به خاطر LLM ها به وجود آمده است. که در ادامه به چند مورد اشاره می‌کنم. به عنوان مثال دستوراتی مثل dotnet run و dotnet build در حال حاضر با توجه به اینکه در چه کانتکستی اجرا می‌شوند، می‌توانند لاگ‌های متفاوت

12👍5🔥3

15 Jun 2026, 10:15 UTC≈1,440 views6 reactionsread 7 August 2026

آشنایی با Dictionary در سی‌شارپ #csharp_for_beginners در زبان برنامه‌نویسی سی‌شارپ، ساختار داده‌ی دیکشنری (Dictionary) برای ذخیره‌سازی اطلاعات به صورت «کلید و مقدار» استفاده می‌شود. هر کلید (Key) باید یکتا باشد و به یک مقدار (Value) اشاره کند. این ساختار در فضای نام System.Collections.Generic قرار دارد و به دلیل سرعت بالای جستجو، یکی از پرکاربردترین کالکشن‌ها در سی‌شارپ محسوب می‌شود. مثال برای ساخت: csharp Dicti

3🔥3

Showing the 12 most recent of 21 posts we hold for @SoftwarePhilosophy. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 505,569 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.

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 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.

Names

Channels on the register whose handles appear in this channel's posts.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Software Philosophy” (@SoftwarePhilosophy), 3,454 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/SoftwarePhilosophy.

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.