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India16 589 Technologies & Applications5 164...

📈 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 26 439 subscribers, ranking 5 164 in the Technologies & Applications category and 16 589 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 26 439 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 229 over the last 30 days and by 13 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.77%. Within the first 24 hours after publication, content typically collects 2.47% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 260 views. Within the first day, a publication typically gains 653 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.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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.”

Thanks to the high frequency of updates (latest data received on 11 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.

26 439

Subscribers

+1324 hours

+387 days

+22930 days

1 260

Post views

~ 65324 hours

~ 82148 hours

4.77%

Engagement rate

~ 4

Posts per day

Ads index

beta

Posts Archive

26 437

VoltAgent/awesome-design-md Collection of DESIGN.md files that capture design systems from popular websites. Drop one into your project and let coding agents build matching UI. Language: HTML #awesome_list #design_md #design_system #design_tokens #figma #google_stitch #landing_page Stars: 3943 Issues: 11 Forks: 524 https://github.com/VoltAgent/awesome-design-md

26 437

JackChen-me/open-multi-agent Production-grade multi-agent orchestration framework. Model-agnostic, supports team collaboration, task scheduling, and inter-agent communication. Language: TypeScript #agent_framework #ai_agents #claude #llm #model_agnostic #multi_agent #openai #orchestration #task_scheduling #typescript Stars: 2345 Issues: 8 Forks: 1271 https://github.com/JackChen-me/open-multi-agent

26 437

emdash-cms/emdash Language: TypeScript Stars: 2353 Issues: 54 Forks: 145 https://github.com/emdash-cms/emdash

26 437

https://github.com/sk0dot7/journal-buddy

26 437

NanmiCoder/claude-code-haha Claude Code leaked source - locally runnable version Language: TypeScript Stars: 3450 Issues: 13 Forks: 4155 https://github.com/NanmiCoder/claude-code-haha

26 437

Gitlawb/openclaude Claude Code opened to any LLM — OpenAI, Gemini, DeepSeek, Ollama, and 200+ models via OpenAI-compatible API shim Language: TypeScript Stars: 4613 Issues: 32 Forks: 1768 https://github.com/Gitlawb/openclaude

26 437

Kuberwastaken/claude-code Claude Code in Rust & a Breakdown of How it Works Language: Rust Stars: 4692 Issues: 11 Forks: 5780 https://github.com/Kuberwastaken/claude-code

26 437

ChinaSiro/claude-code-sourcemap Language: TypeScript Stars: 6390 Issues: 5 Forks: 11272 https://github.com/ChinaSiro/claude-code-sourcemap

26 437

sanbuphy/claude-code-source-code It will be revised soon. Language: TypeScript Stars: 8970 Issues: 52 Forks: 16995 https://github.com/sanbuphy/claude-code-source-code

26 437

instructkr/claw-code The fastest repo in history to surpass 50K stars ⭐, reaching the milestone in just 2 hours after publication. Better Harness Tools that make real things done. Now writing in Rust using oh-my-codex. Language: Rust Stars: 85059 Issues: 1640 Forks: 82470 https://github.com/instructkr/claw-code

26 437

LeoYeAI/openclaw-auto-dream Automatic memory consolidation for OpenClaw agents — like sleep for your AI. Powered by MyClaw.ai Language: HTML #ai_agent #auto_dream #llm #memory #memory_management #myclaw #openclaw Stars: 497 Issues: 1 Forks: 10 https://github.com/LeoYeAI/openclaw-auto-dream

26 437

adamlyttleapps/notchy Language: Swift Stars: 543 Issues: 7 Forks: 49 https://github.com/adamlyttleapps/notchy

26 437

glommer/pgmicro An in-process reimplementation of PostgreSQL, backed by a SQLite-compatible storage engine Language: Rust Stars: 650 Issues: 1 Forks: 14 https://github.com/glommer/pgmicro

26 437

openai/codex-plugin-cc Use Codex from Claude Code to review code or delegate tasks. Language: JavaScript Stars: 3226 Issues: 36 Forks: 121 https://github.com/openai/codex-plugin-cc

26 437

revfactory/harness A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. Language: HTML #claude_code #claude_code_plugin #harness #harness_engineering Stars: 582 Issues: 0 Forks: 76 https://github.com/revfactory/harness

26 437

tonbistudio/turboquant-pytorch From-scratch PyTorch implementation of Google's TurboQuant (ICLR 2026) for LLM KV cache compression. 5x compression at 3-bit with 99.5% attention fidelity. Language: Python Stars: 586 Issues: 12 Forks: 78 https://github.com/tonbistudio/turboquant-pytorch

26 437

TheTom/turboquant_plus Language: Python Stars: 603 Issues: 17 Forks: 55 https://github.com/TheTom/turboquant_plus

26 437

ryanstephen/lil-agents tiny AI companions that live on your macOS dock Language: Swift Stars: 636 Issues: 12 Forks: 107 https://github.com/ryanstephen/lil-agents

26 437

zc-zhangchen/any-auto-register Language: Python Stars: 660 Issues: 2 Forks: 333 https://github.com/zc-zhangchen/any-auto-register

26 437

facebookresearch/tribev2 This repository contains the code to train and evaluate TRIBE v2, a multimodal model for brain response prediction Language: Jupyter Notebook Stars: 663 Issues: 9 Forks: 128 https://github.com/facebookresearch/tribev2