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Channel

Programming Resources

@pythony

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

19,832subscribers

-184 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001005385418
TypeChannel
Username@pythony
Created3 December 2015 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live26 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/pythony

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 why it has no browse page of its own yet.

Growth

19,83220,01619,9245 August 2026 — 20,016 subscribers6 August 2026 — 20,016 subscribers6 August 2026 — 20,006 subscribers7 August 2026 — 19,997 subscribers8 August 2026 — 19,985 subscribers9 August 2026 — 19,984 subscribers10 August 2026 — 19,983 subscribers11 August 2026 — 19,978 subscribers14 August 2026 — 19,977 subscribers15 August 2026 — 19,967 subscribers16 August 2026 — 19,953 subscribers17 August 2026 — 19,944 subscribers18 August 2026 — 19,942 subscribers20 August 2026 — 19,939 subscribers23 August 2026 — 19,925 subscribers25 August 2026 — 19,917 subscribers26 August 2026 — 19,916 subscribers27 August 2026 — 19,909 subscribers28 August 2026 — 19,905 subscribers29 August 2026 — 19,901 subscribers30 August 2026 — 19,885 subscribers31 August 2026 — 19,877 subscribers1 September 2026 — 19,875 subscribers2 September 2026 — 19,869 subscribers3 September 2026 — 19,865 subscribers8 September 2026 — 19,848 subscribers11 September 2026 — 19,835 subscribers13 September 2026 — 19,874 subscribers15 September 2026 — 19,876 subscribers17 September 2026 — 19,863 subscribers19 September 2026 — 19,850 subscribers26 September 2026 — 19,832 subscribers5 August 202626 September 2026
32 measurements spanning 52 days, net -184. 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 19,804–20,044 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
26 Sept 2026, 18:0119,832-18
19 Sept 2026, 15:4019,850-13
17 Sept 2026, 06:3819,863-13
15 Sept 2026, 05:2019,876+2
13 Sept 2026, 11:1919,874+39
11 Sept 2026, 15:3819,835-13
8 Sept 2026, 23:5819,848-17
3 Sept 2026, 16:5819,865-4
2 Sept 2026, 05:5619,869-6
1 Sept 2026, 05:1219,875-2
31 Aug 2026, 07:4919,877-8
30 Aug 2026, 05:5419,885-16
29 Aug 2026, 05:5719,901-4
28 Aug 2026, 07:0319,905-4
27 Aug 2026, 04:4219,909-7
26 Aug 2026, 04:3419,916-1
25 Aug 2026, 02:0419,917-8
23 Aug 2026, 14:2519,925-14
20 Aug 2026, 17:4519,939-3
18 Aug 2026, 20:4419,942first reading

Engagement

23 posts held, back to 29 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 57 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 23 posts for this entry, the most recent from 23 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

267 reactions across 23 posts, in 21 distinct kinds. The most used accounts for 43.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤11543.1%
👍4015.0%
❤‍🔥228.24%
👎134.87%
🥱124.49%
🎉103.75%
👏93.37%
🤯93.37%
🕊62.25%
😨41.50%
🤣41.50%
🤪41.50%
🎄31.12%
🔥31.12%
😁31.12%
🤗31.12%
😍20.749%
🤝20.749%
🌚10.375%
🐳10.375%
1 further kind10.375%

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 23 of the 23 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 267 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 29 December 2025 to 23 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
6
across the posts below
Posts paid on
6
of 23 we hold a reading for · 26%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pythony. 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 23 most recent posts we hold for this entry, published 29 December 2025 to 23 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

23 Aug 2026, 21:05 UTC≈1,670 views9 reactionsread 3 September 2026
Photo

One of those websites where the experience is the product. یکی از سایت‌های عجیبی که اخیرا ترند شده این سایته که انقدر خوب ساخته شده که بهتون اجازه میده بصورت مجازی محصول رو لمس کنید و تجربه فوق العاده ای میسازه. دنیای وب آینده داره به سمت اینجور تجربیات میره. میشه ازش ایده گرفت کلی #Web #Design #VisualEffects #CreativeCoding #Fun @pythony https://santionispirits.com

🤯9

22 Aug 2026, 22:11 UTC≈1,720 views1 reactionsread 3 September 2026
Photo

Tencent's Hunyuan3D-WorldClaw generates interactive, open-ended 3D worlds that you can keep exploring beyond predefined boundaries. این مدل جدید دنیاهای سه‌بعدی تعاملی و جهان‌باز تولید می‌کند؛ بدون مرزهای از پیش تعیین‌شده. دنیای عجیبی داره میشه #AI #3D #World #OpenEnded #Limit #Explorable @pythony https://tencent-hunyuan.github.io/Hunyuan3D-WorldClaw/#results

❤1

15 Aug 2026, 22:48 UTC≈2,910 views6 reactionsread 3 September 2026
Photo

Gives your product a brain — see what users actually do, replay their sessions, and ship features safely, all from one open-source platform. این ابزار یه پلتفرم متن‌باز همه‌کاره‌ست که بهتون نشون میده کاربرا واقعاً چیکار می‌کنن، سشن‌هاشون رو ضبط می‌کنه، فیچرفلگ و A/B تست داره؛ یعنی به‌جای اینکه چندتا ابزار جدا مثل Mixpanel و Hotjar و LaunchDarkly بخرید، همه رو یکجا و رایگان (اگه خودتون هاست کنید) دارید :) #Analytics…

❤3😁3

27 Jun 2026, 23:17 UTC≈5,810 views3 reactionsread 3 September 2026
Photo

Are your servers running locally? In Kubernetes? Both? Tilt gives you smart rebuilds and live updates everywhere so that you can make progress. یه ابزار ساده و خوب برای اینکه اگه میکروسرویس روی پروداکشن دارید که روی کوبرنتیزه خیلی راحت روی لوکال بتونید شبیه اش رو بیارید بالا بدون دردسر خیلی زیاد #Local #Development #Docker #K8s #kubernetes #Tilt #Compose #Rapid @pythony https://tilt.dev/

❤2😍1

20 Jun 2026, 22:22 UTC≈6,230 views7 reactionsread 3 September 2026
Photo

A collection of free guides to master Claude. Yes, it’s free. مجموعه‌ای از آموزش‌های مخصوص هوش مصنوعی Claude به رایگان #Claude #Tutorial #Free #Guide #Course #Substack #Collection @pythony https://claude101.com

👍7

12 Jun 2026, 20:54 UTC≈6,540 views10 reactions1 Starread 3 September 2026
Photo

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote. این ابزار جالب باعث میشه که AI ای که استفاده میکنید مثل یه برنامه‌نویس senior ولی تنبل باشه که کار رو در کوتاهترین راه ممکن انجام بده الکی کد اضافی یا کاری که لازم نیست رو انجام نده :) #Code #Agent #Claude #LLM #Tools #Cursor @pythony https://github.com/DietrichGebert/ponytail

👍7❤‍🔥3

11 Jun 2026, 22:49 UTC≈5,190 views10 reactionsread 3 September 2026
Photo

A huge animation scene with many references to memes, games, films, series, anime, music groups. یه صفحه نقاشی بزرگ از Meme های و شخصیت های مختلف کارتونی و تلویزیونی که دائم هم با اومدن فیلم ها و سریال ها و کارتون‌های جدید بروز میشه #Fun #Art #Film #movie #World #Animation #Meme @pythony floor796.com

🤪4👎3❤2❤‍🔥1

10 Jun 2026, 21:38 UTC≈4,240 views3 reactionsread 3 September 2026
Photo

Container Management and Kubernetes on the Desktop (alternative to docker desktop and podman) یه ابزار رایگان و متن‌باز که میشه باهاش container های داکری رو مدیریت کرد و دسترسی بهتری به کوبرنتیز توی local داره به نسبت ابزارهای مشابه مثل Docker Desktop و Podman #Desktop #Application #Tools #Docker #Kubernetes #Free #OpenSource #Rancher #CLI @pythony https://rancherdesktop.io

❤3

8 Jun 2026, 22:28 UTC≈4,080 views8 reactionsread 3 September 2026
Photo

Open Source AI Coding agent with full list of supporting LLMs both closed source and opensource. ابزار متن‌بازی که جدیدا منتشر شده و میتونید به کمک اون به تمام مدل های متن باز و بسته با CLI دسترسی داشته باشید و کد بزنید. یه جورایی شبیه به Claude CLI و ابزار مشابهشونه منتهی فقط برای Claude نیست ومیتونید هر چی که خواستید وصل کنید بهش. #CLI #Agent #LLM #Chat #GPT #Claude #Code #OpenSource #Open #Free #Local #Harness @p…

❤7👍1

7 Jun 2026, 23:02 UTC≈4,200 views6 reactionsread 3 September 2026
Photo

Skills are reusable capabilities for AI agents. Install them with a single command to enhance your agents with access to procedural knowledge. مفهوم skills نسبتا جدیده توی LLM ها که میشه بهشون یاد داد که مهارت کسب کنن برای هر کاری :) این سایت مخزنی از skill هاییه که ملت درستش کردن و یه سریش جالبه میتونین بدین به LLM تا با کمک اون تصمیم های بهتری بگیره. #Skills #Claude #LLM #List #Awesome #ChatGPT #GPT @pythony http…

❤4👍2

6 Jun 2026, 19:54 UTC≈3,990 views9 reactionsread 3 September 2026
Photo

sshx lets you share your terminal with anyone by link, on a multiplayer infinite canvas. به کمک این ابزار میتونید terminal seesion تون رو با بقیه از طریق وب به اشتراک بزارید تا بقیه هم به ترمینال سیستم شما دسترسی داشته باشن ! #SSH #Terminal #Share #Web @pythony https://sshx.io

👍3❤2😨2👎1😍1

30 May 2026, 22:42 UTC≈4,790 views11 reactionsread 3 September 2026
Photo

Claude FM 🎵 music for thinking and building یه مجموعه اهنگ به سبک lofi که توسط کانال انتروپیک انتخاب شده و بصورت لایو دائما از یوتیوب پخش میشه. برای تمرکز موقع کد زدن خوبه #Fun #YouTube #Claude #AI #FM #Radio #Music @pythony https://www.youtube.com/watch?v=YmQ7jRgf4f0

❤8👎1🔥1😢1

Showing the 12 most recent of 23 posts we hold for @pythony. 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.

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 1 registered channel — 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.

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.

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جاب‌ویژن | Jobvision | استخدام | کاریابی
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Telegram ranks this channel #92 of 98 here — alongside 97 others — read 22 August 2026
Bplus
@podcastbplus · 97,325
Telegram ranks this channel #95 of 95 here — alongside 94 others — read 16 August 2026

This channel appears in 8 seed channels' Telegram-generated recommendation lists 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Programming Resources” (@pythony), 19,832 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/pythony.

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.