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Channel

GitHub Trends

@githubtrending

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

11,622subscribers

+435 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-1001080389054
TypeChannel
Username@githubtrending
Created27 November 2016 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live26 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/githubtrending

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 why it has no browse page of its own yet.

Growth

11,18711,62211,404.56 August 2026 — 11,187 subscribers6 August 2026 — 11,187 subscribers7 August 2026 — 11,201 subscribers8 August 2026 — 11,203 subscribers9 August 2026 — 11,219 subscribers10 August 2026 — 11,233 subscribers11 August 2026 — 11,247 subscribers12 August 2026 — 11,250 subscribers13 August 2026 — 11,258 subscribers14 August 2026 — 11,265 subscribers16 August 2026 — 11,274 subscribers17 August 2026 — 11,280 subscribers18 August 2026 — 11,285 subscribers19 August 2026 — 11,292 subscribers20 August 2026 — 11,296 subscribers21 August 2026 — 11,297 subscribers22 August 2026 — 11,300 subscribers24 August 2026 — 11,329 subscribers25 August 2026 — 11,328 subscribers26 August 2026 — 11,336 subscribers27 August 2026 — 11,349 subscribers28 August 2026 — 11,363 subscribers29 August 2026 — 11,370 subscribers30 August 2026 — 11,389 subscribers31 August 2026 — 11,399 subscribers1 September 2026 — 11,408 subscribers2 September 2026 — 11,422 subscribers4 September 2026 — 11,432 subscribers6 September 2026 — 11,452 subscribers9 September 2026 — 11,461 subscribers12 September 2026 — 11,492 subscribers13 September 2026 — 11,499 subscribers15 September 2026 — 11,511 subscribers17 September 2026 — 11,536 subscribers26 September 2026 — 11,622 subscribers6 August 202626 September 2026
35 measurements spanning 51 days, net +435. 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 11,122–11,687 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
26 Sept 2026, 04:1611,622+86
17 Sept 2026, 12:5911,536+25
15 Sept 2026, 08:4211,511+12
13 Sept 2026, 16:5611,499+7
12 Sept 2026, 00:5811,492+31
9 Sept 2026, 15:3811,461+9
6 Sept 2026, 07:5811,452+20
4 Sept 2026, 04:1511,432+10
2 Sept 2026, 18:1611,422+14
1 Sept 2026, 16:4811,408+9
31 Aug 2026, 14:2411,399+10
30 Aug 2026, 11:5511,389+19
29 Aug 2026, 09:5511,370+7
28 Aug 2026, 12:1411,363+14
27 Aug 2026, 13:5411,349+13
26 Aug 2026, 14:5411,336+8
25 Aug 2026, 11:5311,328-1
24 Aug 2026, 13:1511,329+29
22 Aug 2026, 18:5811,300+3
21 Aug 2026, 11:0411,297first reading

Engagement

87 posts held, back to 29 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 43 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.21%
avg views ÷ 11,622 subscribers
Avg views / post
374
16 posts measured
Reaction rate
0.524%
reactions ÷ views · ER floor
Posts in window
16
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 15 of 16 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 2 September 2026
Posts held87 (29 July 2026 – 2 September 2026)
Views total5,978
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 00:05 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

98 reactions across 54 posts, in 7 distinct kinds. The most used accounts for 56.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5556.1%
❤2424.5%
⚡66.12%
👌55.10%
👎44.08%
🎉22.04%
🔥22.04%

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 60 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 99 reactions 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 29 July 2026 to 2 September 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

2 Sept 2026, 14:00 UTC200 views1 reactionsread 3 September 2026

#rust #ai #ai_coding_assistant #claude_code #codex #coding_agents #git #gitops #kilo_code #mcp #mcp_client #opencode #opencode_ai #opencode_skills #self_hosted #skills Atlas is a local app for coding agents that records what each agent did, why it did it, and what code changed. It lets you use tools like Claude Code and Codex together, share memory between them, and keep your code, notes, and sessions on your own ma…

❤1

2 Sept 2026, 13:30 UTC218 views3 reactionsread 3 September 2026

#typescript Portless gives each local app a simple name like https://myapp.localhost instead of a hard-to-remember port number. It starts your dev server through a proxy, turns on HTTPS by default, and can handle monorepos, worktrees, LAN sharing, and public sharing with Tailscale or ngrok. This makes local development easier because URLs stay stable, safer because HTTPS works automatically, and faster because you d…

👍2❤1

2 Sept 2026, 13:00 UTC227 views2 reactionsread 3 September 2026

#python #agent_skills #ai_writing #claude_code #codex #cursor #prompt_engineering #writing_tools Humanizer rewrites AI-like text so it sounds more natural and human while keeping the meaning the same. It checks for common AI writing patterns, avoids inventing facts, can match your writing style, and leaves code, data, and links unchanged. The benefit to you is cleaner text that reads better and feels more real, with…

👍1👎1

2 Sept 2026, 12:30 UTC230 views2 reactionsread 3 September 2026

#python #bge #colbert #data_pipeline #deep_learning #embeddings #inference #inference_server #information_retrieval #llm #ml #mlops #natural_language_processing #nlp #python #reranking #retrieval #retrieval_augmented_generation #semantic_search #splade #vector_search SIE is a self-hosted engine for AI agents that runs many open models from one cluster in your cloud. It can handle search, document cleanup, structured…

👍1👎1

1 Sept 2026, 14:00 UTC343 views2 reactionsread 3 September 2026

#python #ai #audiobook #cuda #dubbing #elevenlabs_alternative #huggingface #local_first #mlx #omnivoice_studio #speech_to_text #tauri #text_to_speech #transcription #translate #tts #voice_ai #voice_cloning #voice_generation #voicestudio #workflow VoiceStudio is a local app for voice cloning, dubbing, dictation, and long audio work on macOS, Windows, and Linux. It works offline after setup, keeps your voices and file…

👌2

1 Sept 2026, 13:30 UTC334 views1 reactionsread 3 September 2026

#typescript #ai #ai_agent #ai_tools #cli #coding OpenClaude is a terminal app for coding with AI. It works with many cloud and local models, supports tools, agents, slash commands, streaming, and saved provider profiles. This helps you use one simple workflow instead of switching between different AI tools, and it can speed up coding, debugging, and long tasks. https://github.com/Gitlawb/openclaude

👎1

1 Sept 2026, 12:30 UTC354 views1 reactionsread 3 September 2026

#html ReClip is a self-hosted, open-source tool that lets you paste links from many sites and download videos as MP4 or audio as MP3. It has a simple web page, supports bulk downloads and quality choice, and runs locally, so it can save time and make downloading media easier for you. https://github.com/averygan/reclip

🎉1

31 Aug 2026, 12:00 UTC451 views5 reactionsread 3 September 2026

#python #automation #bot #clarifai #instagram #python #script #selenium This project is about using AI and Python tools to automate social media tasks like likes, comments, and followers. The main benefit for you is learning practical automation ideas, tools, and examples that can save time and help you build your own bots, but it also warns that heavy use can lead to bans. https://github.com/InstaPy/InstaPy

👌2❤1👍1🔥1

30 Aug 2026, 13:30 UTC523 views4 reactionsread 3 September 2026

#java #code_quality #command_line_tool #hacktoberfest #java #static_analysis #static_code_analysis Checkstyle is a Java tool that finds code style and best-practice problems, so you can catch mistakes early and keep code clean. It is easy to add to your build, has docs and examples, and helps you spot issues like a switch-case fall-through before they cause bugs, making your code safer and easier to maintain. https…

👍3👌1

30 Aug 2026, 13:00 UTC439 viewsread 3 September 2026

#python #chinese #disclosure #obsidian #patent #skill This tool helps you turn project files into clear patent drafts for invention, utility model, and design patents, and it can also explain patents in simple words. It can find patent points, make charts and Word files, build line drawings, organize patent notes, and help with search, policy updates, and office reply drafts. The benefit to you is faster patent work…

30 Aug 2026, 12:30 UTC415 views1 reactionsread 3 September 2026

#swift vphone-cli lets you create and run a virtual iPhone on a Mac with Apple Silicon and macOS 15 or later. It can download firmware, patch it, restore it, install a custom system, and boot the phone with one command. This helps you test iPhone software, use SSH or VNC, and manage or clone virtual phones easily. https://github.com/Lakr233/vphone-cli

👍1

30 Aug 2026, 12:00 UTC382 views2 reactionsread 3 September 2026

#python Microduck RL gives training environments for a small biped robot, so you can teach it walking, standing up, sitting, tricks, and roller tasks in simulation, then export the learned policy to run on the real robot. It includes realistic motor physics, backlash, and random changes to help sim-to-real transfer. The benefit to you is faster robot training, easier testing, and safer deployment because one shared …

👍2

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

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.

GitHub repos
@github_repos · 27,297
Telegram ranks this channel #2 of 76 here — alongside 75 others — read 11 September 2026
The Devs
@thedevs · 32,129
Telegram ranks this channel #17 of 82 here — alongside 81 others — read 5 September 2026
Indian Army Navy AirForce Jobs
@indian_army_navy_airforce_jobs · 50,228
Telegram ranks this channel #48 of 70 here — alongside 69 others — read 25 August 2026
Computer Science and Programming
@computer_science_and_programming · 139,806
Telegram ranks this channel #48 of 87 here — alongside 86 others — read 13 August 2026
Web Development
@webde · 31,910
Telegram ranks this channel #56 of 84 here — alongside 83 others — read 5 September 2026
🤖 Coding News ⚡️
@CodingNews · 23,118
Telegram ranks this channel #63 of 68 here — alongside 67 others — read 19 September 2026
Placement Fellas-Off Campus Drives
@placement_fellas · 48,366
Telegram ranks this channel #68 of 79 here — alongside 78 others — read 26 August 2026
Front End World
@front_end_first · 25,950
Telegram ranks this channel #78 of 90 here — alongside 89 others — read 13 September 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.

“GitHub Trends” (@githubtrending), 11,622 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/githubtrending.

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.