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India14 072Technologies & Applications4 730...

📈 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 28 064 subscribers, ranking 4 730 in the Technologies & Applications category and 14 072 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 064 subscribers.

According to the latest data from 06 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 516 over the last 30 days and by 29 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 5.35%. Within the first 24 hours after publication, content typically collects 2.64% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 502 views. Within the first day, a publication typically gains 740 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
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 07 November, 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.

28 064

Subscribers

+2924 hours

+1487 days

+51630 days

1 502

Post views

~ 74024 hours

~ 94248 hours

5.35%

Engagement rate

~ 4

Posts per day

Ads index

Posts Archive

28 080

ygwyg/diverce Language: TypeScript Stars: 345 Issues: 4 Forks: 11 https://github.com/ygwyg/diverce

28 080

PRBonn/kiss-slam A LiDAR SLAM system that just works Language: Python #lidar #lidar_slam #mapping #perception #robotics #slam Stars: 245 Issues: 2 Forks: 8 https://github.com/PRBonn/kiss-slam

28 080

zhaorw02/DeepMesh Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning Language: Python #3d #aigc #dpo #generative_model #llm #mesh #mesh_generation #point_cloud Stars: 254 Issues: 3 Forks: 8 https://github.com/zhaorw02/DeepMesh

28 080

sail-sg/understand-r1-zero Understanding R1-Zero-Like Training: A Critical Perspective Language: Python #llm #r1_zero #reasoning #rl Stars: 269 Issues: 2 Forks: 16 https://github.com/sail-sg/understand-r1-zero

28 080

Zouuup/landrun Run any Linux process in a secure, unprivileged sandbox using Landlock LSM. Think firejail, but lightweight, user-friendly, and baked into the kernel. Language: Go Stars: 459 Issues: 1 Forks: 5 https://github.com/Zouuup/landrun

28 080

timqian/bambot Low cost (~$300) humanoid robot 🌱 Language: TypeScript Stars: 257 Issues: 1 Forks: 20 https://github.com/timqian/bambot

28 080

nv-tlabs/3dgrut Language: Cuda Stars: 271 Issues: 5 Forks: 14 https://github.com/nv-tlabs/3dgrut

28 080

jae-jae/fetcher-mcp MCP server for fetch web page content using Playwright headless browser. Language: TypeScript #ai #mcp #playwright Stars: 278 Issues: 3 Forks: 17 https://github.com/jae-jae/fetcher-mcp

28 080

roboflow/rf-detr RF-DETR is a real-time object detection model architecture developed by Roboflow, released under the Apache 2.0 license. Language: Python #computer_vision #detr #machine_learning #object_detection #rf_detr Stars: 292 Issues: 3 Forks: 19 https://github.com/roboflow/rf-detr

28 080

ahujasid/ableton-mcp Language: Python Stars: 275 Issues: 2 Forks: 29 https://github.com/ahujasid/ableton-mcp

28 080

KalyanKS-NLP/rag-zero-to-hero-guide Comprehensive guide to learn RAG from basics to advanced. Language: Jupyter Notebook #ai_engineer #generative_ai #large_language_models #llm_engineer #llm_rag #llms #retrieval_augmented_generation Stars: 344 Issues: 0 Forks: 89 https://github.com/KalyanKS-NLP/rag-zero-to-hero-guide

28 080

TecharoHQ/anubis Weighs the soul of incoming HTTP requests using proof-of-work to stop AI crawlers Language: Go #defense #security Stars: 587 Issues: 26 Forks: 10 https://github.com/TecharoHQ/anubis

28 080

manycore-research/SpatialLM SpatialLM: Large Language Model for Spatial Understanding Language: Python #mllm #point_clouds #scene_understanding #spatial_intelligence Stars: 643 Issues: 2 Forks: 33 https://github.com/manycore-research/SpatialLM

28 080

mindverse/Second-Me Train your AI self, amplify you, bridge the world Language: Python Stars: 265 Issues: 3 Forks: 18 https://github.com/mindverse/Second-Me

28 080

jnsahaj/tweakcn A visual no-code editor for shadcn/ui components Language: TypeScript Stars: 277 Issues: 2 Forks: 13 https://github.com/jnsahaj/tweakcn

28 080

https://github.com/hellokaton/unsplash-mcp-server

28 080

aigc3d/LHM LHM: Large Animatable Human Reconstruction Model for Single Image to 3D in Seconds Language: Python #aicg #aigc #digitalhuman Stars: 314 Issues: 4 Forks: 12 https://github.com/aigc3d/LHM

28 080

justinpbarnett/unity-mcp A Unity MCP server that allow communication with clients like Claude Desktop Language: C# Stars: 513 Issues: 5 Forks: 65 https://github.com/justinpbarnett/unity-mcp

28 080

langmanus/langmanus-web The web UI for LangManus. Language: TypeScript Stars: 269 Issues: 4 Forks: 24 https://github.com/langmanus/langmanus-web

28 080

Aeastr/RenderMeThis RenderMeThis is a simple SwiftUI debugging tool that reveals exactly when your views re‑render. No more guesswork – each refresh is accompanied by a subtle flash, helping you track down unnecessary updates and keep your app running smoothly. Language: Swift Stars: 287 Issues: 0 Forks: 5 https://github.com/Aeastr/RenderMeThis