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📈 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 27 145 subscribers, ranking 4 817 in the Technologies & Applications category and 14 953 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 27 145 subscribers.

According to the latest data from 05 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 273 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.61%. Within the first 24 hours after publication, content typically collects 2.40% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 250 views. Within the first day, a publication typically gains 651 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 06 September, 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.

27 145
Subscribers
+124 hours
+577 days
+27330 days
Posts Archive
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

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

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

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

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

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

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

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

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

SkyworkAI/Skywork-R1V Pioneering Multimodal Reasoning with CoT Language: Python #deepseek_r1 #llm #mllm Stars: 387 Issues: 5 Forks: 19 https://github.com/SkyworkAI/Skywork-R1V

DigitallyTailored/Classless.css A lightweight, classless CSS framework that makes simple websites look better without requiring any additional markup. Language: CSS Stars: 390 Issues: 2 Forks: 13 https://github.com/DigitallyTailored/Classless.css

sonnylazuardi/cursor-talk-to-figma-mcp Cursor Talk To Figma MCP Language: TypeScript Stars: 275 Issues: 3 Forks: 23 https://github.com/sonnylazuardi/cursor-talk-to-figma-mcp

qiaoshouqing/familytree A minimalist open-source family tree website project. Language: TypeScript #familytree #nextjs #react #typescript Stars: 289 Issues: 1 Forks: 45 https://github.com/qiaoshouqing/familytree

google-gemini/gemini-image-editing-nextjs-quickstart Get started with native image generation and editing using Gemini 2.0 and Next.js Language: TypeScript #gemini #gemini_api Stars: 316 Issues: 3 Forks: 45 https://github.com/google-gemini/gemini-image-editing-nextjs-quickstart

PrunaAI/pruna Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead. Language: Python Stars: 332 Issues: 3 Forks: 6 https://github.com/PrunaAI/pruna

ArcaneNibble/i-cant-believe-its-not-webusb Hacking around lack of WebUSB support in Firefox Language: C Stars: 212 Issues: 0 Forks: 7 https://github.com/ArcaneNibble/i-cant-believe-its-not-webusb

QwenLM/QwQ QwQ is the reasoning model series developed by Qwen team, Alibaba Cloud. Language: Python Stars: 235 Issues: 2 Forks: 6 https://github.com/QwenLM/QwQ

antfu/nuxt-mcp MCP server helping models to understand your Vite/Nuxt app better. Language: TypeScript #mcp #nuxt #vite Stars: 237 Issues: 4 Forks: 5 https://github.com/antfu/nuxt-mcp

ai-bytedance/obsidian-cloud-sync Language: TypeScript Stars: 262 Issues: 5 Forks: 3 https://github.com/ai-bytedance/obsidian-cloud-sync