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India15 790 Technologies & Applications5 099...

📈 Analytical overview of Telegram channel GitHub repos

Channel GitHub repos (@github_repos) in the English language segment is an active participant. Currently, the community unites 26 563 subscribers, ranking 5 099 in the Technologies & Applications category and 15 790 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 26 563 subscribers.

According to the latest data from 01 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 194 over the last 30 days and by 16 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.53%. Within the first 24 hours after publication, content typically collects 2.68% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 203 views. Within the first day, a publication typically gains 711 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
Thematic interests: Content is focused on key topics such as fork, typescript, claude, arbitrage, cli.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Welcome 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.”

Thanks to the high frequency of updates (latest data received on 02 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

26 563

Subscribers

+1624 hours

+757 days

+19430 days

1 203

Post views

~ 71124 hours

~ 89148 hours

4.53%

Engagement rate

~ 4

Posts per day

Ads index

beta

Posts Archive

26 563

LMP88959/NTSC-CRT NTSC encoding/decoding in C89 using only integers and fixed point math. Can be used as an image filter for games or real-time applications. Language: C Stars: 115 Issues: 0 Forks: 5 https://github.com/LMP88959/NTSC-CRT

26 563

danielgross/teleprompter Language: Python Stars: 120 Issues: 3 Forks: 12 https://github.com/danielgross/teleprompter

26 563

AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using Automatic1111-sd-webui as a backend. Language: JavaScript #ai #art #automatic1111 #photoshop #plugin #stable_diffusion Stars: 150 Issues: 7 Forks: 9 https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin

26 563

google/comprehensive-rust Language: Rust Stars: 299 Issues: 15 Forks: 20 https://github.com/google/comprehensive-rust

26 563

namazso/linux_injector A simple ptrace-less shared library injector for x64 Linux Language: C++ Stars: 126 Issues: 0 Forks: 11 https://github.com/namazso/linux_injector

26 563

kazuki-sf/YouTube_Summary_with_ChatGPT YouTube Summary with ChatGPT is a simple Chrome Extension (manifest v3) that allows you to get both YouTube video transcripts and summary of the video with OpenAI's ChatGPT AI technology. Language: JavaScript #chatgpt #chrome_extension #manifest_v3 Stars: 145 Issues: 2 Forks: 23 https://github.com/kazuki-sf/YouTube_Summary_with_ChatGPT

26 563

giswqs/aws-open-data-geo A list of open geospatial datasets on AWS Language: Python #aws #environment #geospatial #mapping #open_data #satellite_imagery #sustainability Stars: 146 Issues: 1 Forks: 4 https://github.com/giswqs/aws-open-data-geo

26 563

facebookresearch/DiT Official PyTorch Implementation of "Scalable Diffusion Models with Transformers" Language: Python Stars: 270 Issues: 0 Forks: 11 https://github.com/facebookresearch/DiT

26 563

LAION-AI/Open-Assistant Language: Python Stars: 120 Issues: 21 Forks: 9 https://github.com/LAION-AI/Open-Assistant

26 563

zhuowei/MacDirtyCowDemo Get root on macOS 13.0.1 with CVE-2022-46689 (macOS equivalent of the Dirty Cow bug), using the testcase extracted from Apple's XNU source. Language: C Stars: 123 Issues: 0 Forks: 10 https://github.com/zhuowei/MacDirtyCowDemo

26 563

nopecha-ai/.github Stars: 126 Issues: 0 Forks: 1 https://github.com/nopecha-ai/.github

26 563

dariusk/twitter-archiver Make your own simple, public, searchable Twitter archive Language: JavaScript Stars: 145 Issues: 1 Forks: 4 https://github.com/dariusk/twitter-archiver

26 563

jozhang97/DETA Detection Transformers with Assignment Language: Python Stars: 119 Issues: 1 Forks: 7 https://github.com/jozhang97/DETA

26 563

lucidrains/robotic-transformer-pytorch Implementation of RT1 (Robotic Transformer) in Pytorch Language: Python #artificial_intelligence #attention_mechanisms #deep_learning #robotics #transformers Stars: 128 Issues: 1 Forks: 3 https://github.com/lucidrains/robotic-transformer-pytorch

26 563

stanford-crfm/pubmedgpt Language: Python Stars: 135 Issues: 1 Forks: 7 https://github.com/stanford-crfm/pubmedgpt

26 563

Idov31/Venom Venom is a library that meant to perform evasive communication using stolen browser socket Language: C++ #backdoor #cpp #cyber #cyber_security #cybersecurity #infosec #red_team #red_team_tools #redteam #windows Stars: 160 Issues: 0 Forks: 19 https://github.com/Idov31/Venom

26 563

azu/url-cheatsheet URL manipulation cheatsheet for JavaScript Language: JavaScript #cheatsheet #javascript #url #urlsearchparams Stars: 130 Issues: 2 Forks: 3 https://github.com/azu/url-cheatsheet

26 563

autonomousvision/sdfstudio A Unified Framework for Surface Reconstruction Language: Python Stars: 136 Issues: 1 Forks: 4 https://github.com/autonomousvision/sdfstudio

26 563

dair-ai/Prompt-Engineering-Guide Guide and resources for prompt engineering Stars: 239 Issues: 0 Forks: 8 https://github.com/dair-ai/Prompt-Engineering-Guide

26 563

willmcgugan/textual-markdown Language: Python Stars: 252 Issues: 4 Forks: 3 https://github.com/willmcgugan/textual-markdown