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Mostrar más📈 Análisis del canal de Telegram GitHub repos
El canal GitHub repos (@github_repos) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 27 914 suscriptores, ocupando la posición 4 765 en la categoría Tecnologías y Aplicaciones y el puesto 14 160 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 27 914 suscriptores.
Según los últimos datos del 30 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 452, y en las últimas 24 horas de 15, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.43%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.63% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 515 visualizaciones. En el primer día suele acumular 734 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
- Intereses temáticos: El contenido se centra en temas clave como fork, typescript, claude, arbitrage, cli.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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.”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 31 octubre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
27 914
Suscriptores
+1524 horas
+997 días
+45230 días
Archivo de publicaciones
27 914
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
27 914
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
27 914
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
27 914
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
27 914
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
27 914
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
27 914
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
27 914
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
27 914
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
27 914
HumeAI/tada
Open Source Speech Language Model
Language: Jupyter Notebook
Stars: 626 Issues: 8 Forks: 57
https://github.com/HumeAI/tada
27 914
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
27 914
davebcn87/pi-autoresearch
Autonomous experiment loop extension for pi
Language: TypeScript
Stars: 1281 Issues: 5 Forks: 63
https://github.com/davebcn87/pi-autoresearch
27 914
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
27 914
TianyiDataScience/openclaw-control-center
Language: TypeScript
Stars: 683 Issues: 9 Forks: 109
https://github.com/TianyiDataScience/openclaw-control-center
27 914
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
27 914
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
27 914
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
27 914
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
27 914
TinyAGI/fractals
Fractals is a recursive task orchestrator for agent swarm
Language: TypeScript
Stars: 560 Issues: 3 Forks: 43
https://github.com/TinyAGI/fractals
27 914
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
