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📈 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 27 064 subscribers, ranking 4 822 in the Technologies & Applications category and 15 184 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 27 064 subscribers.

According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 285 over the last 30 days and by 17 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.69%. Within the first 24 hours after publication, content typically collects 2.33% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 269 views. Within the first day, a publication typically gains 630 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 28 August, 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.

27 064
Subscribers
+1724 hours
+467 days
+28530 days
Posts Archive
Ch1rpy2613/Mirrai Language: TypeScript Stars: 445 Issues: 1 Forks: 4 https://github.com/Ch1rpy2613/Mirrai

huangserva/3DCellForge AI-powered interactive 3D cell generation and exploration studio. Language: JavaScript Stars: 978 Issues: 0 Forks: 169 https://github.com/huangserva/3DCellForge

moxailoo/univ3-pool-lens A focused TypeScript toolkit for inspecting Uniswap V3 pools — liquidity distribution, fee yield, and impermanent-loss math from your terminal. Language: TypeScript Stars: 405 Issues: 0 Forks: 258 https://github.com/moxailoo/univ3-pool-lens

joshawome/chainreason A benchmark for evaluating LLM reasoning on Ethereum and DeFi tasks Language: Python Stars: 406 Issues: 0 Forks: 279 https://github.com/joshawome/chainreason

butthtio/solidity-cot-auditor Multi-role chain-of-thought LLM pipeline for Solidity security auditing, layered on top of Slither output. Language: Python Stars: 410 Issues: 0 Forks: 260 https://github.com/butthtio/solidity-cot-auditor

kitft/natural_language_autoencoders Language: Python Stars: 412 Issues: 1 Forks: 59 https://github.com/kitft/natural_language_autoencoders

LayrKits/Sprite-Pipeline 2D Sprite Sheet Creation Pipeline Language: Python Stars: 429 Issues: 1 Forks: 43 https://github.com/LayrKits/Sprite-Pipeline

zarazhangrui/beautiful-html-templates A library of HTML slide templates designed so any coding agent can pick the right one and produce a beautiful deck on the user's behalf, automatically. Language: HTML Stars: 463 Issues: 0 Forks: 38 https://github.com/zarazhangrui/beautiful-html-templates

vercel-labs/zero-native Build native desktop + mobile apps with web UI and Zig Language: Zig Stars: 645 Issues: 5 Forks: 31 https://github.com/vercel-labs/zero-native

MayersScott/rkn-block-checker Diagnose RKN/TSPU internet blocks layer by layer (DNS, TCP, TLS, HTTP) Language: Python #censorship #cli #dns #dpi #network_diagnostics #networking #python #rkn #tls #tspu Stars: 855 Issues: 2 Forks: 35 https://github.com/MayersScott/rkn-block-checker

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

antirez/ds4 DeepSeek 4 Flash local inference engine for Metal Language: C Stars: 1026 Issues: 3 Forks: 52 https://github.com/antirez/ds4

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

V4bel/dirtyfrag Language: C Stars: 1558 Issues: 23 Forks: 245 https://github.com/V4bel/dirtyfrag

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

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

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

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

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

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