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Channel

GitHub repos

@github_repos

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

26,999subscribers

+143 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-1001065452260
TypeChannel
Username@github_repos
DescriptionWelcome to GitHub repos. Here you'll find valuable information on the latest trending projects. Subscribe to stay informed and gain insights from the thriving GitHub community.
Created1 July 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live21 August 2026
Measurements held17
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/github_repos

Growth

26,85627,00126,928.55 August 2026 — 26,856 subscribers6 August 2026 — 26,856 subscribers6 August 2026 — 26,860 subscribers7 August 2026 — 26,865 subscribers8 August 2026 — 26,875 subscribers9 August 2026 — 26,876 subscribers10 August 2026 — 26,889 subscribers11 August 2026 — 26,897 subscribers12 August 2026 — 26,919 subscribers13 August 2026 — 26,928 subscribers14 August 2026 — 26,945 subscribers15 August 2026 — 26,965 subscribers17 August 2026 — 26,966 subscribers18 August 2026 — 26,975 subscribers19 August 2026 — 26,989 subscribers20 August 2026 — 27,001 subscribers21 August 2026 — 26,999 subscribers26,9995 August 202621 August 2026
17 measurements spanning 15 days, net +143. 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 26,834–27,023 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 10:4826,999-2
20 Aug 2026, 12:1827,001+12
19 Aug 2026, 11:3526,989+14
18 Aug 2026, 14:3326,975+9
17 Aug 2026, 11:2426,966+1
15 Aug 2026, 20:2426,965+20
14 Aug 2026, 07:1626,945+17
13 Aug 2026, 00:2426,928+9
12 Aug 2026, 02:0226,919+22
11 Aug 2026, 04:2526,897+8
10 Aug 2026, 01:1426,889+13
9 Aug 2026, 00:5026,876+1
8 Aug 2026, 02:3426,875+10
7 Aug 2026, 00:3326,865+5
6 Aug 2026, 03:4026,860+4
6 Aug 2026, 02:0126,856no change
5 Aug 2026, 23:0326,856first reading

Engagement

87 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 35 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.65%
avg views ÷ 26,999 subscribers
Avg views / post
985
87 posts measured
Reaction rate
0.199%
reactions ÷ views · ER floor
Posts in window
87
of 87 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 39 of 87 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 22 August 2026
Posts held87 (1 August 202622 August 2026)
Views total85,717
Reactions total76
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 18:59 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
18
Videos
2
Links
12,800

Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

72 reactions across 33 posts, in 12 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2838.9%
🔥2230.6%
🎉68.33%
👌45.56%
💩45.56%
💯22.78%
👍11.39%
👎11.39%
👏11.39%
🙏11.39%
🤡11.39%
🤷11.39%

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 39 of the 87 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 76reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 87 most recent posts we hold, published 1 August 2026 to 22 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.

Recent posts

22 Aug 2026, 16:00 UTC225 viewsread 22 August 2026

browser-use/macos-harness The simplest, thinnest harness that gives an LLM complete freedom to control a Mac. Language: Python #accessibility #agent #automation #cdp #computer_use #macos #python Stars: 696 Issues: 6 Forks: 45 https://github.com/browser-use/macos-harness

22 Aug 2026, 10:00 UTC408 views2 reactionsread 22 August 2026

MengTo/threeui Open-source ThreeUI Community catalog with live interactive components and complete Community source. Language: HTML #react #shaders #threejs #ui_components #webgl Stars: 832 Issues: 1 Forks: 85 https://github.com/MengTo/threeui

2

22 Aug 2026, 04:00 UTC492 viewsread 22 August 2026

Alain00/blobatar Language: TypeScript Stars: 620 Issues: 3 Forks: 38 https://github.com/Alain00/blobatar

21 Aug 2026, 22:00 UTC548 viewsread 22 August 2026

SigmanticAI/apex-inference-chip An inference chip design that runs a real LLM (Qwen2.5-0.5B) on FPGA — one transformer decoder layer in RTL, every silicon value bit-exact against a golden model. 0.56 tok/s measured, a 140× climb, full evidence trail. Language: Python Stars: 647 Issues: 0 Forks: 1 https://github.com/SigmanticAI/apex-inference-chip

21 Aug 2026, 16:00 UTC639 views4 reactionsread 22 August 2026

DenisSergeevitch/desktop-fly A 3D fruit fly living on your macOS desktop, driven by a live spiking simulation of the real FlyWire connectome Language: Swift Stars: 649 Issues: 5 Forks: 38 https://github.com/DenisSergeevitch/desktop-fly

2👎1🤷1

21 Aug 2026, 10:00 UTC686 views1 reactionsread 22 August 2026

Leutenegger/vanity-eth Offline vanity address generator for Bitcoin and Ethereum. CPU multi-process search with interactive CLI menu. Supports Legacy, Nested SegWit, Native SegWit, Taproot, and ETH (EIP-55). Language: Python Stars: 801 Issues: 0 Forks: 90 https://github.com/Leutenegger/vanity-eth

🎉1

21 Aug 2026, 04:00 UTC730 views1 reactionsread 22 August 2026

vvxw/deploy-vercel Install Command:npm install Language: JavaScript Stars: 597 Issues: 2 Forks: 117 https://github.com/vvxw/deploy-vercel

🔥1

20 Aug 2026, 22:00 UTC771 viewsread 22 August 2026

vibeinging/deepseek-harness-desktop-app DeepSeek Harness Desktop App: a local AI desktop workspace for DSH Sessions, projects, files, web research, plugins, and Office artifacts. Language: JavaScript #agentic_workflows #ai_agent #ai_workbench #data_analysis #deepseek_harness #desktop_app #dsh #dsh_plugin #electron #local_first #mcp #model_context_protocol #office_automation #react #typescript Stars: 604 Issues: 6 For

20 Aug 2026, 16:00 UTC791 views1 reactionsread 22 August 2026

CopilotKit/openbot Open-source AI coworkers that each get a computer of their own: a browser, files and tools, with every action decided before it happens and recorded after. Bring any AG-UI agent. Language: TypeScript #ag_ui #agent_governance #ai_agents #browser_automation #copilotkit #generative_ui #mcp Stars: 854 Issues: 21 Forks: 79 https://github.com/CopilotKit/openbot

👏1

20 Aug 2026, 10:00 UTC820 views3 reactionsread 22 August 2026

Leutenegger/watermarks-remover Remove multi-vendor AI provenance traces: Unicode text sanitization, statistical rewriting techniques, and C2PA/metadata stripping from PNG/JPEG/SVG/PDF/DOCX/HTML/MD files Language: Python #claude #claude_code #claude_skills #codex #codex_cli #codex_desktop #codex_plugin #codex_skill #codex_skills #grok #grok_45 #grok_ai #grok_build #grok_cli #watermark #watermark_detection #watermark_t

🔥3

20 Aug 2026, 04:00 UTC832 views1 reactionsread 22 August 2026

Larryvrh/ComfyUI-MiniMax-H3-Turbo Language: Python Stars: 418 Issues: 16 Forks: 27 https://github.com/Larryvrh/ComfyUI-MiniMax-H3-Turbo

1

19 Aug 2026, 22:00 UTC845 viewsread 22 August 2026

NanmiCoder/dsh-agent-teams AgentTeams plugin for DeepSeek Harness Language: TypeScript #agentteams #deepseekharness #dsh #dsh_agent_teams #dsh_plugin Stars: 582 Issues: 19 Forks: 55 https://github.com/NanmiCoder/dsh-agent-teams

Showing the 12 most recent of 87 posts we hold for @github_repos. 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.

Citation-graph rank

Citation-graph rank — 742,451 of 1,584,142entries 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.

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.

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.

Linuxgram 🐧
@linuxgram · 72,798
Telegram ranks this channel #11 of 90 here — alongside 89 others — read 19 August 2026
Computer Science and Programming
@computer_science_and_programming · 140,868
Telegram ranks this channel #13 of 87 here — alongside 86 others — read 13 August 2026
TheSanskaarSingh
@codeslearningTG · 270,922
Telegram ranks this channel #30 of 84 here — alongside 83 others — read 11 August 2026
Curious Coder
@Curious_Coder · 136,420
Telegram ranks this channel #54 of 75 here — alongside 74 others — read 13 August 2026
Arsh Goyal : Youtube
@goyalarsh · 194,130
Telegram ranks this channel #66 of 69 here — alongside 68 others — read 11 August 2026
Go Careers 🚀
@gocareers · 79,803
Telegram ranks this channel #68 of 77 here — alongside 76 others — read 18 August 2026
Artificial Intelligence
@Artificial_intelligence_in · 65,539
Telegram ranks this channel #69 of 90 here — alongside 89 others — read 21 August 2026
InternFreak
@internfreak · 58,630
Telegram ranks this channel #71 of 82 here — alongside 81 others — read 22 August 2026
Krishan Kumar - Jobs & Internships Updates
@jobs_and_internships_updates · 199,470
Telegram ranks this channel #81 of 82 here — alongside 81 others — read 11 August 2026
Placementkit - OffCampus/OnCampus Placement Jobs
@placementkit · 133,851
Telegram ranks this channel #82 of 92 here — alongside 91 others — read 13 August 2026

This channel appears in 10 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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“GitHub repos” (@github_repos), 26,999 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/github_repos.

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.