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Channel

Cool GitHub repositories

@github_repositories_bds

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

11,215subscribers

+955 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001266891899
TypeChannel
Username@github_repositories_bds
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/github_repositories_bds

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 99% 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

10,26011,21510,737.57 August 202611 November 2026
63 measurements spanning 96 days, net +955. 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 10,117–11,358 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 00:5611,215+29
9 Nov 2026, 10:0611,186+18
8 Nov 2026, 02:2011,168+4
6 Nov 2026, 22:0611,164+11
5 Nov 2026, 21:0511,153+11
4 Nov 2026, 20:4711,142+12
3 Nov 2026, 22:4911,130+10
2 Nov 2026, 23:2911,120+1
2 Nov 2026, 01:5811,119+15
1 Nov 2026, 03:4811,104-3
31 Oct 2026, 06:5011,107+2
30 Oct 2026, 05:4011,105-1
29 Oct 2026, 06:2811,106+2
28 Oct 2026, 02:1611,104-1
27 Oct 2026, 01:4711,105+16
25 Oct 2026, 23:1611,089+10
24 Oct 2026, 21:3111,079+11
23 Oct 2026, 19:1911,068+9
22 Oct 2026, 22:4111,059+21
21 Oct 2026, 17:0111,038first reading

Engagement

59 posts held, back to 11 July 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 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.0%
avg views ÷ 11,215 subscribers
Avg views / post
1,240
16 posts measured
Reaction rate
0.334%
reactions ÷ views · ER floor
Posts in window
16
of 59 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 10 November 2026
Posts held59 (11 July 2026 – 10 November 2026)
Views total19,778
Reactions total66
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 21:02 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.

Reaction mix

321 reactions across 59 posts, in 9 distinct kinds. The most used accounts for 63.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤20363.2%
👍7122.1%
🔥288.72%
👏41.25%
👨‍💻41.25%
😍41.25%
🎃30.935%
🎉30.935%
🤮10.312%

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 59 of the 59 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 321 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 59 most recent posts we hold, published 11 July 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 16 posts 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).

10 Nov 2026, 07:34 UTC269 views2 reactionsread 10 November 2026

pyxel Pyxel is an opensource retro game engine for Python. With simple specifications inspired by retro gaming consoles, such as displaying only 16 colors and supporting 4 sound channels, you can easily enjoy making pixel-art-style games. Creator: kitao Stars ⭐️: 18,400 Forked by: 963 Github Repo: https://github.com/kitao/pyxel #GameEngine #Python ➖➖➖➖➖➖➖➖➖➖➖ 🚀 More cool repos → @github_repositories_bds Part …

❤1👍1

8 Nov 2026, 07:35 UTC608 views5 reactionsread 10 November 2026

hackingtool ALL IN ONE Hacking Tool For Hackers. 215 curated tools across 21 categories - recon, OSINT, web, wireless, phishing, forensics, post-exploitation and more - with an AI layer that turns plain English into the right tool and the exact command. Creator: Z4nzu Stars ⭐️: 79981 Forked by: 9073 Github Repo: https://github.com/Z4nzu/hackingtool #SecurityTesting #OSINT ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @github_repositor…

❤4👨‍💻1

6 Nov 2026, 12:50 UTC803 views4 reactionsread 10 November 2026

context-mode Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks. Creator: mksglu Stars ⭐️: 23,200 Forked by: 1,700 Github Repo: https://github.com/mksglu/context-mode #ClaudeCode #ContextMode ➖➖➖➖➖➖➖➖➖➖➖ 🚀 More cool repos → @github_repositories_bds Part of @bigdataspecialist community

❤3👍1

4 Nov 2026, 08:35 UTC998 views7 reactionsread 10 November 2026

VoiceStudio VoiceStudio is the open-source, fully-local ElevenLabs alternative; voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages. Creator: debpalash Stars ⭐️: 31,800 Forked by: 3,800 Github Repo: https://github.com/debpalash/VoiceStudio #AudioBook #VoiceGeneration #VoiceCloning ➖➖➖➖➖➖➖➖➖➖➖ 🚀 More cool repos → @github_repositories_bds Part of @bigdatasp…

❤3🔥3👍1

2 Nov 2026, 07:45 UTC≈1,090 views5 reactionsread 10 November 2026

copyparty Portable file server with accelerated resumable uploads, dedup, WebDAV, SFTP, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file. Creator: 9001 Stars ⭐️: 47,000 Forked by: 2,000 Github Repo: https://github.com/9001/copyparty #FileServer #FileSharing ➖➖➖➖➖➖➖➖➖➖➖ 🚀 More cool repos → @github_repositories_bds Part of @bigdataspecialist community

👍3❤2

30 Oct 2026, 07:02 UTC≈1,270 views3 reactionsread 10 November 2026

neovim Neovim is a project that seeks to aggressively refactor Vim in order to: - Simplify maintenance and encourage contributions - Split the work between multiple developers - Enable advanced UIs without modifications to the core - Maximize extensibility Creator: neovim Stars ⭐️: 102,343 Forked by: 7,101 Github Repo: https://github.com/neovim/neovim #Vim #texteditor ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @github_repositories_…

👍3

28 Oct 2026, 10:45 UTC≈1,270 views5 reactionsread 10 November 2026

Product-Manager-Skills This library gives both you and your AI agent the same professional foundation: the why behind each framework, the failure modes to avoid, and the judgment to apply them correctly. You stop repeating yourself. Your agent stops guessing. The work gets better. Creator: deanpeters Stars ⭐️: 6,900 Forked by: 826 Github Repo: https://github.com/deanpeters/Product-Manager-Skills #ProductManag…

👍2🔥2❤1

26 Oct 2026, 12:03 UTC≈1,320 views3 reactionsread 10 November 2026

open-code-review Open Code Review is an AI-powered code review CLI tool. It reads Git diffs, sends changed files to a configurable LLM via an agent with tool-use capabilities, and generates structured review comments with line-level precision. Creator: alibaba Stars ⭐️: 30,700 Forked by: 2,200 Github Repo: https://github.com/alibaba/open-code-review #CodeReview #AgentSkills ➖➖➖➖➖➖➖➖➖➖➖ 🚀 More cool repos → @gi…

👍2❤1

25 Oct 2026, 07:00 UTC≈1,220 views4 reactionsread 10 November 2026

the-startup This is a multi-agent AI framework that makes Claude Code work like a startup team. Creator: rsmdt Stars ⭐️: 512 Forked by: 59 Github Repo: https://github.com/rsmdt/the-startup #ClaudeCode ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @github_repositories_bds for more cool repositories. This channel belongs to @bigdataspecialist group

❤2👍2

24 Oct 2026, 10:44 UTC≈1,350 views3 reactionsread 10 November 2026

Whisper Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. Creator: openai Stars ⭐️: 108,600 Forked by: 13,200 Github Repo: https://github.com/openai/whisper #OpenAI #SpeechReognition ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @github_repositories_b…

❤2🔥1

22 Oct 2026, 09:29 UTC≈1,380 views4 reactionsread 10 November 2026

LobeHub LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team. Creator: lobehub Stars ⭐️: 82,300 Forked by: 15,900 Github Repo: https://github.com/lobehub/lobehub #Agent #KnowledgeBase ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @github_repositories_bds for more cool repositories. This channel belongs to @bigdataspecialist group

👍3🔥1

20 Oct 2026, 11:55 UTC≈1,470 views5 reactionsread 10 November 2026

helix A post-modern modal text editor. (it's primarily a terminal-based editor.) Creator: helix-editor Stars ⭐️: 46,100 Forked by: 3,720 Github Repo: https://github.com/helix-editor/helix ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @github_repositories_bds for more cool repositories. This channel belongs to @bigdataspecialist group

❤3👍1🤮1

Showing the 12 most recent of 59 posts we hold for @github_repositories_bds. 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.

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 4 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.

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.

GitHub repos
@github_repos · 28,145
Telegram ranks this channel #1 of 76 here — alongside 75 others — read 11 September 2026
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,239
Telegram ranks this channel #2 of 80 here — alongside 79 others — read 12 September 2026
The Devs
@thedevs · 31,916
Telegram ranks this channel #22 of 82 here — alongside 81 others — read 5 September 2026
WeMakeDevs
@WeMakeDevs · 23,861
Telegram ranks this channel #23 of 55 here — alongside 54 others — read 16 September 2026
Front End World
@front_end_first · 25,623
Telegram ranks this channel #23 of 90 here — alongside 89 others — read 13 September 2026
Computer Science and Programming
@computer_science_and_programming · 138,623
Telegram ranks this channel #27 of 87 here — alongside 86 others — read 13 August 2026
THE BEARDED ENGINEER
@thebeardedengineer · 24,510
Telegram ranks this channel #29 of 37 here — alongside 36 others — read 14 September 2026
🤖 Coding News ⚡️
@CodingNews · 22,643
Telegram ranks this channel #33 of 68 here — alongside 67 others — read 19 September 2026
TheSanskaarSingh
@codeslearningTG · 272,448
Telegram ranks this channel #33 of 84 here — alongside 83 others — read 11 August 2026
Web design & 😃 development
@WebsiteDesignLearningGroup · 27,637
Telegram ranks this channel #36 of 63 here — alongside 62 others — read 10 September 2026
Learn Code With Durgesh ✅
@learncodewithdurgesh · 21,020
Telegram ranks this channel #39 of 62 here — alongside 61 others — read 23 September 2026
Coding Projects
@Programming_experts · 67,940
Telegram ranks this channel #40 of 84 here — alongside 83 others — read 20 August 2026
Web Development
@webdevcoursefree · 79,292
Telegram ranks this channel #46 of 79 here — alongside 78 others — read 19 August 2026
OceanOfJobs
@OceanOfJobs · 19,972
Telegram ranks this channel #49 of 69 here — alongside 68 others — read 28 September 2026
Web Development
@webde · 31,405
Telegram ranks this channel #50 of 84 here — alongside 83 others — read 5 September 2026
AI & ML Papers
@PaperNexus · 34,361
Telegram ranks this channel #55 of 85 here — alongside 84 others — read 4 September 2026
TCW - AI & Coding Resources 🚀👨‍💻
@the_coding_wizard · 174,129
Telegram ranks this channel #55 of 89 here — alongside 88 others — read 12 August 2026
Arsh Goyal : Youtube
@goyalarsh · 187,648
Telegram ranks this channel #56 of 69 here — alongside 68 others — read 11 August 2026
Learn Python
@LearnPython3 · 125,047
Telegram ranks this channel #61 of 65 here — alongside 64 others — read 13 August 2026
Curious Coder
@Curious_Coder · 131,699
Telegram ranks this channel #61 of 75 here — alongside 74 others — read 13 August 2026
Telegram Shorts: Best Funny Videos
@AI_Agentic_Coding · 24,872
Telegram ranks this channel #62 of 67 here — alongside 66 others — read 14 September 2026
Coding Interview Resources
@crackingthecodinginterview · 51,890
Telegram ranks this channel #62 of 83 here — alongside 82 others — read 24 August 2026
FrontEnd Development
@fedevelopment · 28,445
Telegram ranks this channel #63 of 88 here — alongside 87 others — read 9 September 2026
Artificial Intelligence
@machinelearning_deeplearning · 56,660
Telegram ranks this channel #64 of 86 here — alongside 85 others — read 23 August 2026

This channel appears in 50 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Cool GitHub repositories” (@github_repositories_bds), 11,215 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/github_repositories_bds.

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.