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India14 072Technologies & Applications4 730...

📈 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 28 064 subscribers, ranking 4 730 in the Technologies & Applications category and 14 072 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 064 subscribers.

According to the latest data from 06 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 516 over the last 30 days and by 29 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 5.35%. Within the first 24 hours after publication, content typically collects 2.64% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 502 views. Within the first day, a publication typically gains 740 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 07 November, 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.

28 064

Subscribers

+2924 hours

+1487 days

+51630 days

1 502

Post views

~ 74024 hours

~ 94248 hours

5.35%

Engagement rate

~ 4

Posts per day

Ads index

Posts Archive

28 064

sonnylazuardi/cursor-talk-to-figma-mcp Cursor Talk To Figma MCP Language: TypeScript Stars: 275 Issues: 3 Forks: 23 https://github.com/sonnylazuardi/cursor-talk-to-figma-mcp

28 064

qiaoshouqing/familytree A minimalist open-source family tree website project. Language: TypeScript #familytree #nextjs #react #typescript Stars: 289 Issues: 1 Forks: 45 https://github.com/qiaoshouqing/familytree

28 064

google-gemini/gemini-image-editing-nextjs-quickstart Get started with native image generation and editing using Gemini 2.0 and Next.js Language: TypeScript #gemini #gemini_api Stars: 316 Issues: 3 Forks: 45 https://github.com/google-gemini/gemini-image-editing-nextjs-quickstart

28 064

PrunaAI/pruna Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead. Language: Python Stars: 332 Issues: 3 Forks: 6 https://github.com/PrunaAI/pruna

28 064

ArcaneNibble/i-cant-believe-its-not-webusb Hacking around lack of WebUSB support in Firefox Language: C Stars: 212 Issues: 0 Forks: 7 https://github.com/ArcaneNibble/i-cant-believe-its-not-webusb

28 064

QwenLM/QwQ QwQ is the reasoning model series developed by Qwen team, Alibaba Cloud. Language: Python Stars: 235 Issues: 2 Forks: 6 https://github.com/QwenLM/QwQ

28 064

antfu/nuxt-mcp MCP server helping models to understand your Vite/Nuxt app better. Language: TypeScript #mcp #nuxt #vite Stars: 237 Issues: 4 Forks: 5 https://github.com/antfu/nuxt-mcp

28 064

ai-bytedance/obsidian-cloud-sync Language: TypeScript Stars: 262 Issues: 5 Forks: 3 https://github.com/ai-bytedance/obsidian-cloud-sync

28 064

DesertScripts/Monad-TestnetBot a python script for monad testnet Language: Python #monad #monad_automation #monad_bot #monad_testnet #monadtestnet Stars: 246 Issues: 1 Forks: 140 https://github.com/DesertScripts/Monad-TestnetBot

28 064

32Arveliondy/MEV-BOT-SOLANA ⭐ A powerful Solana MEV bot designed for both browser and local use. It scans transactions in real time, identifies profitable opportunities across Pump.FUN, Jupiter, and Raydium, and executes trades with precision. Fully automated, fast, and optimized for maximum efficiency. Language: JavaScript #blockchain #bot #crypto_bot #decentralized_exchanges #dex #ethereum #javascript #mempool #mev #nodejs #smart_contracts #solana #solidity Stars: 247 Issues: 0 Forks: 191 https://github.com/32Arveliondy/MEV-BOT-SOLANA

28 064

ezyang/codemcp Coding assistant MCP for Claude Desktop Language: Python Stars: 260 Issues: 26 Forks: 30 https://github.com/ezyang/codemcp

28 064

giacomo-b/rust-stakeholder Generate impressive-looking terminal output to look busy when stakeholders walk by Language: Rust Stars: 496 Issues: 1 Forks: 11 https://github.com/giacomo-b/rust-stakeholder

28 064

davidesantangelo/krep A High-Performance String Search Utility Language: C Stars: 260 Issues: 4 Forks: 9 https://github.com/davidesantangelo/krep

28 064

antirez/ttt-rl Reinforcement Learning example in C, playing tic tac toe Language: C Stars: 266 Issues: 1 Forks: 16 https://github.com/antirez/ttt-rl

28 064

jiachenzhu/DyT Code release for DynamicTanh (DyT) Language: Python Stars: 273 Issues: 6 Forks: 26 https://github.com/jiachenzhu/DyT

28 064

bypirob/airo Deploy your projects from local to production (self-hosted). Language: Go #devops #self_hosted Stars: 299 Issues: 1 Forks: 14 https://github.com/bypirob/airo

28 064

HKUDS/AI-Researcher "AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents" & "Open-Sourced Alternative to Google AI Co-Scientist" Language: Python #agent #ai_researcher #llm Stars: 337 Issues: 1 Forks: 46 https://github.com/HKUDS/AI-Researcher

28 064

ppl-ai/modelcontextprotocol A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem. Language: JavaScript Stars: 394 Issues: 7 Forks: 32 https://github.com/ppl-ai/modelcontextprotocol

28 064

dCaples/AutoDidact Autonomously train research-agent LLMs on custom data using reinforcement learning and self-verification. Language: Jupyter Notebook Stars: 408 Issues: 1 Forks: 30 https://github.com/dCaples/AutoDidact

28 064

THU-MIG/yoloe YOLOE: Real-Time Seeing Anything Language: Python Stars: 466 Issues: 3 Forks: 25 https://github.com/THU-MIG/yoloe