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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 28 020 suscriptores, ocupando la posición 4 736 en la categoría Tecnologías y Aplicaciones y el puesto 14 116 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 28 020 suscriptores.
Según los últimos datos del 04 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 467, 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 5.38%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.65% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 506 visualizaciones. En el primer día suele acumular 742 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 05 noviembre, 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.
28 020
Suscriptores
+1524 horas
+1187 días
+46730 días
Archivo de publicaciones
28 035
JeanMeijer/analog
Meet the calendar that changes everything
Language: TypeScript
Stars: 425 Issues: 13 Forks: 26
https://github.com/JeanMeijer/analog
28 035
endguypie8385/Creal-Stealer
stealer grabber grabber cookie grabber grabber 2023 cookie stealer token password 🔥 stealer 🔥 password grabber token stealer cookie password password python stealer password cookie stealer stealer high in token stealer end stealer creal grabber cookie stealer token cookie working stealer password grabber stealer token rzwbbjzx
Language: Python
Stars: 200 Issues: 0 Forks: 99
https://github.com/endguypie8385/Creal-Stealer
28 035
skift-org/vaev
🌊 A lightning-fast, lightweight, and secure HTML/CSS engine
Language: C++
Stars: 221 Issues: 1 Forks: 5
https://github.com/skift-org/vaev
28 035
QwenLM/ParScale
Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
Language: Python
#large_language_models #llm #machine_learning #scaling_law
Stars: 222 Issues: 1 Forks: 9
https://github.com/QwenLM/ParScale
28 035
tavibray0/Password-Cracker
pdf password cracker anon cracker 💥 bruteforce .pdf and .zip files in lighting speed 💥 a single tool to bruteforce pdf , zip and hashes very super fast. pdf cracker zip cracker pdf bruteforce zip bruteforce hash bruteforce has cracker pdf cracker zip cracker pdf bruteforce zip bruteforce hash bruteforce has cracker pdf fbafoaywsa
Language: Python
Stars: 239 Issues: 0 Forks: 98
https://github.com/tavibray0/Password-Cracker
28 035
dujonwalker/project-nova
A multi-agent AI architecture that connects 25+ specialized agents through n8n and MCP servers. Project NOVA routes requests to domain-specific experts, enabling control of applications from knowledge bases to DAWs, home automation to development tools. Includes system prompts, Dockerfiles, and workflows for a complete AI assistant ecosystem.
Language: Shell
Stars: 148 Issues: 0 Forks: 14
https://github.com/dujonwalker/project-nova
28 035
kijai/ComfyUI-LBMWrapper
Language: Python
Stars: 150 Issues: 3 Forks: 2
https://github.com/kijai/ComfyUI-LBMWrapper
28 035
R-driste/DataSciForestFires
An analysis of which factors best predict the spread of forest fires using data from Portugal and California.
Language: Jupyter Notebook
Stars: 154 Issues: 0 Forks: 0
https://github.com/R-driste/DataSciForestFires
28 035
shyamsaktawat/OpenAlpha_Evolve
OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.
Language: Python
Stars: 405 Issues: 4 Forks: 64
https://github.com/shyamsaktawat/OpenAlpha_Evolve
28 035
MhmRdd/NoHello
A Zygisk module to hide root.
Language: C++
Stars: 165 Issues: 5 Forks: 14
https://github.com/MhmRdd/NoHello
28 035
brandonmcconnell/render-hooks
Inline render-block-stable React hooks
Language: TypeScript
#context #hooks #hooks_api_react #react #reactdom
Stars: 171 Issues: 0 Forks: 4
https://github.com/brandonmcconnell/render-hooks
28 035
giovapanasiti/active_storage_dashboard
A mountable Rails engine that provides a dashboard to view Active Storage data
Language: HTML
Stars: 175 Issues: 0 Forks: 3
https://github.com/giovapanasiti/active_storage_dashboard
28 035
strands-agents/sdk-python
A model-driven approach to building AI agents in just a few lines of code.
Language: Python
#agentic #agentic_ai #agents #ai #anthropic #autonomous_agents #genai #litellm #llm #machine_learning #mcp #multi_agent_systems #ollama #opentelemetry #python
Stars: 217 Issues: 9 Forks: 23
https://github.com/strands-agents/sdk-python
28 035
EvolutionAPI/evo-ai
Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.
Language: Python
#a2a_protocol #adk #agent #agentic_ai #agentic_workflow #ai #crewai #langgraph #mcp #python
Stars: 157 Issues: 3 Forks: 59
https://github.com/EvolutionAPI/evo-ai
28 035
rudrodip/titan
Next.js 15 fullstack template with better-auth for authentication and drizzle-orm as the orm
Language: TypeScript
#better_auth #drizzle_orm #neondb #nextjs #nextjs15 #shadcn_ui #tailwindcss_v4
Stars: 164 Issues: 1 Forks: 9
https://github.com/rudrodip/titan
28 035
agno-agi/agent-api
A minimal, open-source setup for serving Agents using FastAPI and Postgres. Built for speed, clarity, and dev happiness.
Language: Python
Stars: 165 Issues: 0 Forks: 18
https://github.com/agno-agi/agent-api
28 035
dipampaul17/KVSplit
Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.
Language: Python
#apple_silicon #generative_ai #kv_cache #llama_cpp #llm #m1 #m2 #m3 #memory_optimization #metal #optimization #quantization
Stars: 222 Issues: 1 Forks: 5
https://github.com/dipampaul17/KVSplit
28 035
ngxson/vintern-realtime-demo
Language: HTML
Stars: 162 Issues: 2 Forks: 37
https://github.com/ngxson/vintern-realtime-demo
28 035
cofob/autogenlib
Import wisdom, export code.
Language: Python
Stars: 265 Issues: 0 Forks: 12
https://github.com/cofob/autogenlib
28 035
Zorokee/ArtificialCast
Type-safe transformation powered by inference.
Language: C#
#ai #artificial_intelligence #csharp #dotnet #llm #satire #type_casting
Stars: 270 Issues: 2 Forks: 5
https://github.com/Zorokee/ArtificialCast
