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๐Ÿ“ˆ 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 26 489 subscribers, ranking 5 103 in the Technologies & Applications category and 15 998 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 26 489 subscribers.

According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 206 over the last 30 days and by 18 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.65%. Within the first 24 hours after publication, content typically collects 2.12% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 233 views. Within the first day, a publication typically gains 562 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.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œWelcome 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.โ€

Thanks to the high frequency of updates (latest data received on 25 June, 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.

26 489
Subscribers
+1824 hours
+457 days
+20630 days
Posts Archive
YangLing0818/RPG-DiffusionMaster Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (PRG) Language: Python #image_editing #large_language_models #multimodal_large_language_models #text_to_image_diffusion Stars: 272 Issues: 5 Forks: 14 https://github.com/YangLing0818/RPG-DiffusionMaster

GloriousEggroll/ULWGL Unified Linux Wine Game Launcher Language: Python Stars: 275 Issues: 1 Forks: 3 https://github.com/GloriousEggroll/ULWGL

vovannat/darknet-markets-links A verified list of darknet markets and services with links for educational reference. Language: HTML #2024_dark_web_links #darknet #darknet_links #darknet_market #darknet_markets #darkweb #darkweb_links #deepweb_links #dnm #onion_links #onion_service #onion_services #tor #tor_hidden_service #tor_hidden_services Stars: 311 Issues: 0 Forks: 0 https://github.com/vovannat/darknet-markets-links

jammsen/docker-palworld-dedicated-server Docker container to easily provision and manage Palworld Forest Dedicated Server Language: Shell Stars: 331 Issues: 24 Forks: 53 https://github.com/jammsen/docker-palworld-dedicated-server

jln13x/ui.jln.dev 10.000+ Themes for shadcn/ui. Language: TypeScript Stars: 292 Issues: 1 Forks: 13 https://github.com/jln13x/ui.jln.dev

lucidrains/self-rewarding-lm-pytorch Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI Language: Python #artificial_intelligence #beyond_human_data #deep_learning #self_rewarding #transformers Stars: 367 Issues: 0 Forks: 17 https://github.com/lucidrains/self-rewarding-lm-pytorch

thijsvanloef/palworld-server-docker A Docker Container to easily run a Palworld dedicated server. Language: Shell #dedicated_gameservers #dedicated_server #docker #palworld #palworld_dedicated_server Stars: 394 Issues: 16 Forks: 36 https://github.com/thijsvanloef/palworld-server-docker

LiheYoung/Depth-Anything Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Language: Python #depth_estimation #image_synthesis #metric_depth_estimation #monocular_depth_estimation Stars: 1116 Issues: 11 Forks: 62 https://github.com/LiheYoung/Depth-Anything

JEduardoFerreira/Fortnite-hack-main #87 Stars: 309 Issues: 0 Forks: 0 https://github.com/JEduardoFerreira/Fortnite-hack-main

KeviNKvN-X/Genshin-Autofarm-main #98 Stars: 309 Issues: 0 Forks: 0 https://github.com/KeviNKvN-X/Genshin-Autofarm-main

LeonardoOliveira07/Finals-Hack-main #123 Stars: 309 Issues: 0 Forks: 0 https://github.com/LeonardoOliveira07/Finals-Hack-main

jonbarron/camp_zipnerf Language: Python Stars: 339 Issues: 5 Forks: 18 https://github.com/jonbarron/camp_zipnerf

mleoneldf/Pubg-Hack-main #pubg #pubg_cheat #pubg_cheat_2023 #pubg_esp #pubg_free_esp #pubg_hack #pubg_hacking #pubg_hacks_2023 #pubg_hacks_free #pubg_speehack #pubg_wallhack #pubg_wh #pubg_whpubg_cheats Stars: 311 Issues: 0 Forks: 0 https://github.com/mleoneldf/Pubg-Hack-main

fferreiras7/Rust-hack-main #rust_aim_hack #rust_aimbot #rust_cheat #rust_cheat_menu #rust_cheat_source #rust_cheats #rust_esp #rust_free_hacks #rust_hack #rust_hacks #rust_hacks_free #rust_undetected_hack #rust_wallhack #rust_wh Stars: 311 Issues: 0 Forks: 0 https://github.com/fferreiras7/Rust-hack-main

LukeB23-cyber/Apex-Hack-main #apex_cheat_download #apex_cheat_free #apex_cheating #apex_cheats #apex_hack #apex_hack_2023 #apex_hacks #apex_hacks_download #apex_legends_aimbot #apex_legends_cheat #apex_legends_cheats #apex_legends_esp #apex_legends_hack #apex_legends_hack_free #apex_legends_injector #apex_legends_skinchanger #apex_legends_spoofer #apex_legends_wallhack Stars: 311 Issues: 0 Forks: 0 https://github.com/LukeB23-cyber/Apex-Hack-main

kparc/ksimple bare minimum atw-style interpreter for learning purposes Language: C Stars: 209 Issues: 1 Forks: 13 https://github.com/kparc/ksimple

sst/demo-ai-app Sample AI movies app built with โ Ion Language: TypeScript #ai #ion #sst Stars: 235 Issues: 0 Forks: 17 https://github.com/sst/demo-ai-app

gregorojstersek/resources-to-become-a-great-engineering-leader List of books, blogs, newsletters and people! Stars: 267 Issues: 0 Forks: 34 https://github.com/gregorojstersek/resources-to-become-a-great-engineering-leader

VAST-AI-Research/TriplaneGaussian TriplaneGaussian: A new hybrid representation for single-view 3D reconstruction. Language: Python Stars: 268 Issues: 1 Forks: 9 https://github.com/VAST-AI-Research/TriplaneGaussian

twostraws/Vortex High-performance particle effects for SwiftUI. Language: Swift Stars: 201 Issues: 0 Forks: 2 https://github.com/twostraws/Vortex