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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.

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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 27 914 subscribers, ranking 4 765 in the Technologies & Applications category and 14 160 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 27 914 subscribers.

According to the latest data from 30 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 452 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.43%. Within the first 24 hours after publication, content typically collects 2.63% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 515 views. Within the first day, a publication typically gains 734 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 31 October, 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.

27 914
Subscribers
+1524 hours
+997 days
+45230 days
Posts Archive
moltlaunch/cashclaw An autonomous agent that takes work, does work, gets paid, and gets better at it. Language: TypeScript #ai_agent #autonomous_agent #base #claude #llm #marketplace #onchain #self_learning #tool_use #typescript Stars: 596 Issues: 21 Forks: 117 https://github.com/moltlaunch/cashclaw

Michaelliv/pi-generative-ui Claude.ai's generative UI — reverse-engineered, rebuilt for pi. Interactive HTML/SVG widgets in native macOS windows. Language: TypeScript Stars: 616 Issues: 0 Forks: 35 https://github.com/Michaelliv/pi-generative-ui

jackwener/opencli Make any website your CLI. A powerful, AI-native runtime for seamless browser automation and dynamic web data extraction. Language: TypeScript Stars: 647 Issues: 4 Forks: 61 https://github.com/jackwener/opencli

THU-MAIC/OpenMAIC Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click Language: TypeScript Stars: 751 Issues: 6 Forks: 92 https://github.com/THU-MAIC/OpenMAIC

upper-up/meta-lobbying-and-other-findings Language: HTML Stars: 631 Issues: 3 Forks: 71 https://github.com/upper-up/meta-lobbying-and-other-findings

skernelx/tavily-key-generator Auto batch register Tavily API Keys with pluggable email backends Language: Python Stars: 737 Issues: 2 Forks: 607 https://github.com/skernelx/tavily-key-generator

wanshuiyin/Auto-claude-code-research-in-sleep ARIS ⚔️ (Auto-Research-In-Sleep) — Claude Code skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation via Codex MCP Language: Python #ai_research #ai_tools #aris #autonomous_agent #claude #claude_code #claude_code_skills #codex #deep_learning #gpt #idea_generation #llm #machine_learning #mcp #mcp_server #ml_research #openai #paper_review #paper_writing #research_automation Stars: 1007 Issues: 6 Forks: 95 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep

pasky/chrome-cdp-skill Give your AI agent access to your live Chrome session — works out of the box, connects to tabs you already have open Language: JavaScript Stars: 1092 Issues: 13 Forks: 55 https://github.com/pasky/chrome-cdp-skill

RightNow-AI/autokernel Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels. Language: Python #autoresearch #cuda #gpu #kernel_optimization #pytorch #triton Stars: 602 Issues: 4 Forks: 45 https://github.com/RightNow-AI/autokernel

HumeAI/tada Open Source Speech Language Model Language: Jupyter Notebook Stars: 626 Issues: 8 Forks: 57 https://github.com/HumeAI/tada

NawfalMotii79/PLFM_RADAR Open-source, low-cost 10.5 GHz PLFM phased array RADAR system Language: C Stars: 991 Issues: 6 Forks: 207 https://github.com/NawfalMotii79/PLFM_RADAR

davebcn87/pi-autoresearch Autonomous experiment loop extension for pi Language: TypeScript Stars: 1281 Issues: 5 Forks: 63 https://github.com/davebcn87/pi-autoresearch

Emanuele-web04/remodex Remote Control for Codex. 24/7 version on the way Language: Swift Stars: 635 Issues: 4 Forks: 45 https://github.com/Emanuele-web04/remodex

TianyiDataScience/openclaw-control-center Language: TypeScript Stars: 683 Issues: 9 Forks: 109 https://github.com/TianyiDataScience/openclaw-control-center

aiming-lab/MetaClaw Just talk to your agent — it learns and EVOLVES. Language: Python #agent #ai_agent #fine_tuning #llm #lora #metaclaw #online_learning #openai_compatible #openclaw #reinforcement_learning #skill_learning Stars: 777 Issues: 0 Forks: 97 https://github.com/aiming-lab/MetaClaw

garrytan/gstack Use Garry Tan's exact Claude Code setup: 6 opinionated tools that serve as CEO, Eng Manager, Release Manager and QA Engineer Language: TypeScript Stars: 3406 Issues: 14 Forks: 413 https://github.com/garrytan/gstack

trevin-creator/autoresearch-mlx Apple Silicon (MLX) port of Karpathy's autoresearch — autonomous AI research loops on Mac, no PyTorch required. Language: Python Stars: 548 Issues: 3 Forks: 93 https://github.com/trevin-creator/autoresearch-mlx

gsd-build/gsd-2 A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously without losing track of the big picture Language: TypeScript #context_engineering #meta_prompting #spec_driven_development Stars: 554 Issues: 15 Forks: 49 https://github.com/gsd-build/gsd-2

TinyAGI/fractals Fractals is a recursive task orchestrator for agent swarm Language: TypeScript Stars: 560 Issues: 3 Forks: 43 https://github.com/TinyAGI/fractals

photon-hq/qclaw-wechat-client Reverse-engineered TypeScript client for QClaw's WeChat Access API. Language: TypeScript #agent #openclaw #qclaw #wechat Stars: 664 Issues: 8 Forks: 305 https://github.com/photon-hq/qclaw-wechat-client