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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 27 901 suscriptores, ocupando la posición 4 767 en la categoría Tecnologías y Aplicaciones y el puesto 14 212 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 27 901 suscriptores.
Según los últimos datos del 29 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 461, y en las últimas 24 horas de 22, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.42%. 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 1 513 visualizaciones. En el primer día suele acumular 733 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 30 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.
27 901
Suscriptores
+2224 horas
+1027 días
+46130 días
Archivo de publicaciones
27 901
lightseekorg/tokenspeed
TokenSpeed is a speed-of-light LLM inference engine.
Language: Python
#blackwell #deepseek #gpt_oss #kimi #lightseek #llm #minimax #qwen #speed_of_light #tokenspeed
Stars: 695 Issues: 15 Forks: 43
https://github.com/lightseekorg/tokenspeed
27 901
antirez/ds4
DeepSeek 4 Flash local inference engine for Metal
Language: C
Stars: 1026 Issues: 3 Forks: 52
https://github.com/antirez/ds4
27 901
strukto-ai/mirage
A Unified Virtual Filesystem For AI Agents
Language: TypeScript
#agent_sandbox #agent_tools #ai_agents #bash #claude_code #fuse #langchain #llm_agents #openai_agents #python #typescript #vfs #virtual_filesystem
Stars: 1136 Issues: 6 Forks: 69
https://github.com/strukto-ai/mirage
27 901
V4bel/dirtyfrag
Language: C
Stars: 1558 Issues: 23 Forks: 245
https://github.com/V4bel/dirtyfrag
27 901
StartupHakk/OpenMonoAgent.ai
(BETA) AI shouldn't have a meter. Unlimited tokens. Forever. Your machine. Your agent. Use it from anywhere. Terminal-native coding agent powered by local LLMs — 100% open source, free forever, and installed with a single command. Proudly built on C#/.NET, because AI tooling should be infrastructure, not a subscription.
Language: C#
Stars: 434 Issues: 17 Forks: 39
https://github.com/StartupHakk/OpenMonoAgent.ai
27 901
virgiliojr94/book-to-skill
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
Language: Python
Stars: 437 Issues: 0 Forks: 49
https://github.com/virgiliojr94/book-to-skill
27 901
NamKhoa-07/Voidstrap
Voidstrap is a simple yet advanced fork of Bloxstrap, advanced customization and improvements.
Language: C#
#bloxstrap #open_source #roblox #voidstrap
Stars: 483 Issues: 0 Forks: 91
https://github.com/NamKhoa-07/Voidstrap
27 901
Kappaemme-git/codex-startup-pressure-test-skill
Language: JavaScript
Stars: 621 Issues: 0 Forks: 56
https://github.com/Kappaemme-git/codex-startup-pressure-test-skill
27 901
techjarves/OpenClaude-Portable
Run Claude Code from a USB drive on any PC — no installation required.
Language: HTML
Stars: 466 Issues: 7 Forks: 174
https://github.com/techjarves/OpenClaude-Portable
27 901
raiyanyahya/how-to-train-your-gpt
Build a modern LLM from scratch. Every line commented. Explained like we are five.
Language: Jupyter Notebook
#attention_mechanism #deep_learning #educational #from_scratch #gpt #language_model #llama #llm #machine_learning #natural_language_processing #python #pytorch #tokenisation #transformers #tutorial
Stars: 478 Issues: 0 Forks: 63
https://github.com/raiyanyahya/how-to-train-your-gpt
27 901
crafter-station/petdex
Public gallery of animated Codex pets
Language: TypeScript
Stars: 480 Issues: 6 Forks: 28
https://github.com/crafter-station/petdex
27 901
XBuilderLAB/cheat-on-content
Content is already a cheat-code race—whoever cracks the patterns first wins the traffic. Your auto-evolving ops expert that learns YOUR account, not the global average. The Claude Code workflow behind 1M followers in 1 month.
Language: Python
Stars: 517 Issues: 3 Forks: 103
https://github.com/XBuilderLAB/cheat-on-content
27 901
pluk-inc/md-preview
A simple Markdown viewer for reading .md files
Language: Swift
#macos #markdown
Stars: 423 Issues: 11 Forks: 21
https://github.com/pluk-inc/md-preview
27 901
Tommy-yw/RunbookHermes
Hermes-native AIOps agent for evidence-driven incident response, approval-gated remediation, and runbook learning.
Language: Python
Stars: 507 Issues: 0 Forks: 24
https://github.com/Tommy-yw/RunbookHermes
27 901
vercel-labs/deepsec
Deepsec is a security harness for finding vulnerabilities in your codebase powered by coding agents
Language: TypeScript
Stars: 530 Issues: 4 Forks: 29
https://github.com/vercel-labs/deepsec
27 901
tddworks/baguette
Headless iOS Simulator manager/farm + host-side input injection for iOS 26 — taps, swipes, multi-finger gestures, and 60 fps streaming
Language: Swift
#agent #apple #cli #devicefarm #indigohid #ios #simulator #simulatorkit #streaming
Stars: 536 Issues: 1 Forks: 19
https://github.com/tddworks/baguette
27 901
aattaran/deepclaude
Use Claude Code's autonomous agent loop with DeepSeek V4 Pro, OpenRouter, or any Anthropic-compatible backend. Same UX, 17x cheaper.
Language: JavaScript
Stars: 375 Issues: 3 Forks: 18
https://github.com/aattaran/deepclaude
27 901
evanklem/evanflow
A TDD-driven iterative feedback loop for software development. 16 cohesive Claude Code skills walk an idea from brainstorm → plan → execute → iterate, with checkpoints throughout.
Language: Shell
Stars: 379 Issues: 3 Forks: 13
https://github.com/evanklem/evanflow
27 901
noonghunna/club-3090
Community recipes for serving LLMs on RTX 3090. Multi-engine (vLLM, llama.cpp, SGLang) and model-agnostic. Currently shipping Qwen3.6-27B configs for 1× and 2× cards.
Language: Shell
Stars: 457 Issues: 6 Forks: 24
https://github.com/noonghunna/club-3090
27 901
vibeforge1111/keep-codex-fast
A backup-first Codex skill for keeping local Codex state fast, clean, and recoverable.
Language: Python
Stars: 548 Issues: 1 Forks: 29
https://github.com/vibeforge1111/keep-codex-fast
