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India16 554 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 26 440 subscribers, ranking 5 164 in the Technologies & Applications category and 16 554 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 26 440 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 228 over the last 30 days and by 8 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.90%. Within the first 24 hours after publication, content typically collects 2.51% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 295 views. Within the first day, a publication typically gains 663 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 12 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.

26 440

Subscribers

+824 hours

+367 days

+22830 days

1 295

Post views

~ 66324 hours

~ 83048 hours

4.90%

Engagement rate

~ 4

Posts per day

Ads index

beta

Posts Archive

26 435

zai-org/GLM-OCR GLM-OCR: Accurate × Fast × Comprehensive Language: Python #glm #image2text #ocr Stars: 439 Issues: 18 Forks: 21 https://github.com/zai-org/GLM-OCR

26 435

dwzhu-pku/PaperBanana PaperBanana: Automating Academic Illustration For AI Scientists Language: JavaScript Stars: 682 Issues: 1 Forks: 30 https://github.com/dwzhu-pku/PaperBanana

26 435

sheeki03/tirith Your browser catches homograph attacks. Your terminal doesn't. Tirith guards the gate — intercepts suspicious URLs, ANSI injection, and pipe-to-shell attacks before they execute. Language: Rust #cli #devtools #homograph_attack #rust #security #shell #supply_chain_security #terminal #unicode #url_security Stars: 903 Issues: 4 Forks: 30 https://github.com/sheeki03/tirith

26 435

Robbyant/lingbot-va Causal video-action world model for generalist robot control Language: Python Stars: 423 Issues: 4 Forks: 14 https://github.com/Robbyant/lingbot-va

26 435

stepfun-ai/Step-3.5-Flash Fast, Sharp & Reliable Agentic Intelligence Language: C++ Stars: 434 Issues: 2 Forks: 8 https://github.com/stepfun-ai/Step-3.5-Flash

26 435

wesm/msgvault Archive a lifetime of email and chat. Offline search, analytics, and AI query over your full message history. Powered by DuckDB Language: Go Stars: 453 Issues: 12 Forks: 25 https://github.com/wesm/msgvault

26 435

agno-agi/dash Self-learning data agent that grounds its answers in 6 layers of context. Inspired by OpenAI's in-house implementation. Language: Python Stars: 570 Issues: 0 Forks: 45 https://github.com/agno-agi/dash

26 435

OpenMOSS/MOVA MOVA: Towards Scalable and Synchronized Video–Audio Generation Language: Python #diffusion_models #multimodal #sglang #video_audio_generation Stars: 397 Issues: 7 Forks: 24 https://github.com/OpenMOSS/MOVA

26 435

btseytlin/hr-breaker Optimize resume for jobs, now with AI Language: Python Stars: 412 Issues: 5 Forks: 64 https://github.com/btseytlin/hr-breaker

26 435

HKUDS/nanobot "🐈 nanobot: The Ultra-Lightweight Clawdbot" Language: Python Stars: 741 Issues: 10 Forks: 97 https://github.com/HKUDS/nanobot

26 435

gavrielc/nanoclaw My personal Claude assistant that runs in Apple containers. Lightweight, secure, and built to be understood and customized for your own needs. Language: TypeScript Stars: 1004 Issues: 5 Forks: 71 https://github.com/gavrielc/nanoclaw

26 435

ColeMurray/background-agents An open-source background agents coding system Language: TypeScript Stars: 411 Issues: 6 Forks: 42 https://github.com/ColeMurray/background-agents

26 435

pierceboggan/primer Get your repo ready for AI. Language: TypeScript Stars: 417 Issues: 6 Forks: 29 https://github.com/pierceboggan/primer

26 435

miantiao-me/cloud-code Cloud Code (Cloudflare + OpenCode), running OpenCode on Cloudflare to build a dedicated cloud Agent for you. Language: TypeScript #agent #cloud_code #cloudflare #opencode Stars: 417 Issues: 0 Forks: 41 https://github.com/miantiao-me/cloud-code

26 435

Prismer-AI/Prismer Open Source OpenAI Prism Alternative Language: Python Stars: 491 Issues: 2 Forks: 15 https://github.com/Prismer-AI/Prismer

26 435

luccast/crabwalk 🦀 Crabwalk 🦀 Real-time companion monitor for Clawdbot agents. Language: TypeScript #ai #ai_agents #clawdbot #moltbot #monitoring Stars: 500 Issues: 0 Forks: 48 https://github.com/luccast/crabwalk

26 435

Robbyant/lingbot-vla A Pragmatic VLA Foundation Model Language: Python Stars: 512 Issues: 5 Forks: 35 https://github.com/Robbyant/lingbot-vla

26 435

yohey-w/multi-agent-shogun Language: Shell Stars: 534 Issues: 1 Forks: 98 https://github.com/yohey-w/multi-agent-shogun

26 435

jmuncor/sherlock Intercept LLM API traffic and visualize token usage in a real-time terminal dashboard. Track costs, debug prompts, and monitor context window usage across your AI development sessions. Language: Python #ai_tools #anthropic #cli #developer_tools #itmproxy #llm #m #proxy #python #rich #terminal_dashboard #token_counter Stars: 587 Issues: 0 Forks: 25 https://github.com/jmuncor/sherlock

26 435

QwenLM/Qwen3-ASR Qwen3-ASR is an open-source series of ASR models developed by the Qwen team at Alibaba Cloud, supporting stable multilingual speech/music/song recognition, language detection and timestamp prediction. Language: Python Stars: 568 Issues: 5 Forks: 32 https://github.com/QwenLM/Qwen3-ASR