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πŸ“ˆ 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 26 450 subscribers, ranking 5 159 in the Technologies & Applications category and 16 494 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 26 450 subscribers.

According to the latest data from 14 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 240 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.89%. Within the first 24 hours after publication, content typically collects 2.48% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 293 views. Within the first day, a publication typically gains 657 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.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œWelcome 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 15 June, 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.

26 450
Subscribers
+624 hours
+337 days
+24030 days
Posts Archive
NU-QRG/optiml Acceleration library for LLM agents. Language: C++ #llama #llm Stars: 198 Issues: 7 Forks: 44 https://github.com/NU-QRG/optiml

krea-ai/flux-krea Official GitHub repository for FLUX.1 Krea [dev]. Language: Python #diffusion_models #flux #machine_learning #text_to_image Stars: 199 Issues: 3 Forks: 7 https://github.com/krea-ai/flux-krea

leigest519/ScreenCoder ScreenCoder β€” Turn any UI screenshot into clean, editable HTML/CSS with full control. Fast, accurate, and easy to customize. Language: Python Stars: 216 Issues: 1 Forks: 15 https://github.com/leigest519/ScreenCoder

dmtrKovalenko/fff.nvim Finally a Fast Fuzzy File Finder for neovim Language: Lua #filesearch #lua #neovim #neovim_plugin #rust Stars: 315 Issues: 16 Forks: 15 https://github.com/dmtrKovalenko/fff.nvim

hhftechnology/traefik-log-dashboard A real-time dashboard for analyzing Traefik logs with IP geolocation, status code analysis, and service metrics. Built with React (Shadcn UI) and Node.js. Language: TypeScript #pangolin #traefik #traefik_middleware Stars: 191 Issues: 5 Forks: 1 https://github.com/hhftechnology/traefik-log-dashboard

groq/openbench Provider-agnostic, open-source evaluation infrastructure for language models Language: Python #managed_by_terraform Stars: 215 Issues: 3 Forks: 5 https://github.com/groq/openbench

rednote-hilab/dots.ocr Multilingual Document Layout Parsing in a Single Vision-Language Model Language: Python Stars: 219 Issues: 8 Forks: 10 https://github.com/rednote-hilab/dots.ocr

kubenote/KubeForge Visual Editor for Kubernetes Deployments Language: TypeScript #kubernetes #yaml Stars: 265 Issues: 10 Forks: 4 https://github.com/kubenote/KubeForge

DeeForN/Tg-Tools2025 Language: Python #adder #bulk_message #bulk_messages #mass_dm #mass_reporter_telegram #members_adding_script #members_script #scraper_telegram #scraper_tools #shilling_bot #tele_marketing #telegram #telegram_reporter_bots #telegram_scraper2025 #telegram_user_reporting_bot #telegramadder #telegrambot #telegramgroups #telegramscraper Stars: 163 Issues: 0 Forks: 1 https://github.com/DeeForN/Tg-Tools2025

X-Omni-Team/X-Omni Official inference code and LongText-Bench benchmark for our paper X-Omni (https://arxiv.org/pdf/2507.22058). Language: Python Stars: 187 Issues: 5 Forks: 0 https://github.com/X-Omni-Team/X-Omni

SkyworkAI/UniPic Unified Autoregressive Modeling for Visual Understanding and Generation Language: Python Stars: 190 Issues: 7 Forks: 11 https://github.com/SkyworkAI/UniPic

InsForge/InsForge InsForge is the Agent-Native Supabase Alternative. We are building the features of Supabase in an AI-native way, enabling AI agents to build and manage full-stack applications autonomously. Language: TypeScript Stars: 201 Issues: 10 Forks: 21 https://github.com/InsForge/InsForge

zexahq/better-auth-starter A modern Next.js boilerplate with authentication, admin dashboard, and user management built with Better Auth, Drizzle ORM, and PostgreSQL Language: TypeScript Stars: 149 Issues: 0 Forks: 16 https://github.com/zexahq/better-auth-starter

formulahendry/mcp-server-spec-driven-development Spec-Driven Development MCP Server, no just Vibe Coding Language: TypeScript #mcp #mcp_server #spec_driven_development #vibe_coding Stars: 212 Issues: 3 Forks: 21 https://github.com/formulahendry/mcp-server-spec-driven-development

hwchase17/deepagents Language: Python Stars: 213 Issues: 4 Forks: 28 https://github.com/hwchase17/deepagents

snipeship/ccflare The ultimate CC proxy Language: TypeScript Stars: 358 Issues: 2 Forks: 13 https://github.com/snipeship/ccflare

AizenvoltPrime/claude-setup Language: Python Stars: 152 Issues: 1 Forks: 16 https://github.com/AizenvoltPrime/claude-setup

Danau5tin/terminal-bench-rl GRPO training code which scales to 32xH100s for long horizon terminal/coding tasks. Base agent is now the top Qwen3 agent on Stanford's TerminalBench leaderboard. Language: Python Stars: 158 Issues: 0 Forks: 4 https://github.com/Danau5tin/terminal-bench-rl

classmethod/tsumiki tsumiki Language: Shell Stars: 203 Issues: 1 Forks: 12 https://github.com/classmethod/tsumiki

eigent-ai/eigent Eigent is the World's First Multi-agent Workforce to Unlock Your Exceptional Productivity. Language: TypeScript Stars: 280 Issues: 10 Forks: 37 https://github.com/eigent-ai/eigent