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📈 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 26 443 suscriptores, ocupando la posición 5 158 en la categoría Tecnologías y Aplicaciones y el puesto 16 446 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 26 443 suscriptores.

Según los últimos datos del 16 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 218, y en las últimas 24 horas de 7, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.84%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.48% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 281 visualizaciones. En el primer día suele acumular 655 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 17 junio, 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.

26 443
Suscriptores
+724 horas
+267 días
+21830 días
Archivo de publicaciones
faisalsayed10/no-ghibli No Ghibli on Twitter Language: Jupyter Notebook Stars: 164 Issues: 1 Forks: 13 https://github.com/faisalsayed10/no-ghibli

mineek/appstoretroller Language: Objective-C Stars: 166 Issues: 3 Forks: 22 https://github.com/mineek/appstoretroller

caioricciuti/cr-mac-helper Shell scripts to help manage, clean, and optimize your macOS system. Includes app cleanup, path management, and more. Language: Shell #cleaner #cleanup_script #helper_tool #macos #shell_script Stars: 166 Issues: 0 Forks: 9 https://github.com/caioricciuti/cr-mac-helper

ByungKwanLee/DeepSick-R1 Reproduction of DeepSeek-R1 Language: Python Stars: 176 Issues: 1 Forks: 17 https://github.com/ByungKwanLee/DeepSick-R1

mar-antaya/2025_f1_predictions Language: Python Stars: 188 Issues: 4 Forks: 23 https://github.com/mar-antaya/2025_f1_predictions

kepano/defuddle-cli Command line utility to extract clean html, markdown and metadata from web pages. Language: TypeScript Stars: 201 Issues: 0 Forks: 7 https://github.com/kepano/defuddle-cli

ddCat-main/cursor-auto-register cursor-auto-register Language: Python Stars: 234 Issues: 6 Forks: 85 https://github.com/ddCat-main/cursor-auto-register

badtuxx/girus-cli Language: Go Stars: 679 Issues: 4 Forks: 39 https://github.com/badtuxx/girus-cli

mrexodia/ida-pro-mcp MCP Server for IDA Pro Language: Python #cline #cursor #ida_plugin #ida_pro #mcp #mcp_server #modelcontextprotocol #reverse_engineering Stars: 194 Issues: 2 Forks: 9 https://github.com/mrexodia/ida-pro-mcp

hyperlight-dev/hyperlight-wasm hyperlight-wasm is a rust library crate that enables Wasm Modules and components to be run inside lightweight Virtual Machine backed Sandbox. It is built on top of Hyperlight. Language: Rust #wasm Stars: 195 Issues: 8 Forks: 5 https://github.com/hyperlight-dev/hyperlight-wasm

dbccccccc/ttsfm TTSFM is a reverse-engineered API server that mirrors OpenAI's TTS service, providing a compatible interface for text-to-speech conversion with multiple voice options. Language: Python Stars: 240 Issues: 1 Forks: 40 https://github.com/dbccccccc/ttsfm

QwenLM/Qwen2.5-Omni Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation. Language: Jupyter Notebook Stars: 635 Issues: 12 Forks: 30 https://github.com/QwenLM/Qwen2.5-Omni

vercel/ai-chatbot-svelte A full-featured, hackable SvelteKit AI chatbot built by Vercel Language: Svelte Stars: 215 Issues: 1 Forks: 9 https://github.com/vercel/ai-chatbot-svelte

thepartly/gatehouse A flexible authorization library that combines role-based (RBAC), attribute-based (ABAC), and relationship-based (ReBAC) access control policies. Language: Rust Stars: 225 Issues: 0 Forks: 2 https://github.com/thepartly/gatehouse

martin226/vibe-draw 🎨 Turn your roughest sketches into stunning 3D worlds by vibe drawing Language: TypeScript Stars: 720 Issues: 2 Forks: 119 https://github.com/martin226/vibe-draw

LaurieWired/GhidraMCP MCP Server for Ghidra Language: Java Stars: 835 Issues: 2 Forks: 49 https://github.com/LaurieWired/GhidraMCP

vj013il/Auto-Market-Making-CeFi-DeFi algorithmic market-making software with FPGA acceleration, 20+ exchange integrations, and cross-chain DeFi support. Monetize spreads, liquidity, and arbitrage opportunities! Language: Python #amm #arbitrage #binance #bnb #bybit #coinbase #crypto_arbitrage #ethereum #fpga #high_frequency_trading #kucoin #liquidity #liquidity_management #liquidity_mining #low_latency #market_maker #market_making #okx #trading_algorithms Stars: 220 Issues: 0 Forks: 0 https://github.com/vj013il/Auto-Market-Making-CeFi-DeFi

Shpendrr/react-clean-architecture Language: TypeScript Stars: 223 Issues: 0 Forks: 20 https://github.com/Shpendrr/react-clean-architecture

raindrop313/ComfyUI-WanVideoStartEndFrames Start and end frames video generation nodes based on the modified Kijai version Wan2.1 nodes Language: Python Stars: 240 Issues: 11 Forks: 13 https://github.com/raindrop313/ComfyUI-WanVideoStartEndFrames

golangboy/wxocr This project wraps the WeChat OCR functionality from the excellent wechat-ocr project into a simple REST API service that can be easily deployed using Docker. It allows you to perform optical character recognition on images by leveraging WeChat's powerful OCR capabilities. Language: Python Stars: 284 Issues: 5 Forks: 179 https://github.com/golangboy/wxocr