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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.

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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 28 105 subscribers, ranking 4 724 in the Technologies & Applications category and 14 050 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 28 105 subscribers.

According to the latest data from 07 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 537 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.36%. 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 1 505 views. Within the first day, a publication typically gains 741 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 08 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.

28 105
Subscribers
+2724 hours
+1757 days
+53730 days
Posts Archive
SOLPumpFunBot/LATEST-Solana-Pump-Fun-Sniper-Trading-Bot SoFump The LATEST Solana PUMP FUN SNIPER BOT with lightning fast-speed Pump Fun Sniping! Detect new PumpFun MemeCoins, snipe tokens, maximize profits with take-profit/stop-loss settings. Perfect for PumpFun Sniping, DeFi, Solana, USDC, WSOL, and more. Fast, customizable, and built as the ultimate Solana PumpFun Sniper Bot Language: TypeScript Stars: 130 Issues: 0 Forks: 41 https://github.com/SOLPumpFunBot/LATEST-Solana-Pump-Fun-Sniper-Trading-Bot

yformer/EfficientTAM Efficient Track Anything Language: Python Stars: 202 Issues: 5 Forks: 8 https://github.com/yformer/EfficientTAM

cyclotruc/gitingest Web interface to turn codebases into prompt-friendly text Language: HTML #ai #code #ingestion Stars: 219 Issues: 3 Forks: 17 https://github.com/cyclotruc/gitingest

microsoft/TRELLIS Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation". Language: Python Stars: 227 Issues: 1 Forks: 9 https://github.com/microsoft/TRELLIS

ivanfioravanti/prompt-eng-ollama-interactive-tutorial Ollama's Interactive Prompt Engineering Tutorial Language: Jupyter Notebook Stars: 136 Issues: 2 Forks: 12 https://github.com/ivanfioravanti/prompt-eng-ollama-interactive-tutorial

Smebra/ADVANCED-Solana-Raydium-Sniping-Bot SMEBRA the Advanced Solana Sniper Trading Bot is a lightning-fast Solana Sniping Bot for automated sniping & trading. Built for Solana Sniping and Raydium Sniping, it features Take Profit, Stop Loss, Rug Check, Auto Buy, Auto Sell. Not affiliated with Solana or Raydium. Language: TypeScript Stars: 209 Issues: 1 Forks: 56 https://github.com/Smebra/ADVANCED-Solana-Raydium-Sniping-Bot

mcpservers/mcp-server-chatsum Query and Summarize your chat messages. Language: TypeScript Stars: 212 Issues: 0 Forks: 13 https://github.com/mcpservers/mcp-server-chatsum

kijai/ComfyUI-HunyuanVideoWrapper Language: Python Stars: 226 Issues: 20 Forks: 6 https://github.com/kijai/ComfyUI-HunyuanVideoWrapper

nvpro-samples/vk_minimal_latest A minimal, self-contained example demonstrating best practices for Vulkan development in a single fileβ€”no frameworks required. Language: C++ Stars: 137 Issues: 2 Forks: 3 https://github.com/nvpro-samples/vk_minimal_latest

cloudflare/mcp-server-cloudflare Language: TypeScript Stars: 142 Issues: 4 Forks: 9 https://github.com/cloudflare/mcp-server-cloudflare

akile-network/akile_monitor Akile Monitor Language: Go #akile #akilecloud #monitor #serverstatus Stars: 214 Issues: 2 Forks: 21 https://github.com/akile-network/akile_monitor

PolymathicAI/the_well A collection of 15TB Physics Simulation Datasets Language: Jupyter Notebook Stars: 272 Issues: 0 Forks: 10 https://github.com/PolymathicAI/the_well

tanglup/Comfyui_Flux_Style_Adjust Redux StyleModelApply adds more controls Language: Python Stars: 157 Issues: 3 Forks: 2 https://github.com/tanglup/Comfyui_Flux_Style_Adjust

Francis-Rings/StableAnimator We present StableAnimator, the first end-to-end ID-preserving video diffusion framework, which synthesizes high-quality videos without any post-processing, conditioned on a reference image and a sequence of poses. Language: Python Stars: 160 Issues: 4 Forks: 11 https://github.com/Francis-Rings/StableAnimator

lmnr-ai/flow A lightweight task engine for building AI agents that prioritizes simplicity and flexibility. Language: Python #ai #aiagent #workflow Stars: 211 Issues: 0 Forks: 3 https://github.com/lmnr-ai/flow

Tencent/HunyuanVideo Language: Python Stars: 600 Issues: 8 Forks: 24 https://github.com/Tencent/HunyuanVideo

jlowin/fastmcp The fast, Pythonic way to build Model Context Protocol servers πŸš€ Language: Python #anthropic #api #claude #llm #model_context_protocol #python #server Stars: 149 Issues: 4 Forks: 9 https://github.com/jlowin/fastmcp

convexsplatting/convex-splatting Original implementation of "3D Convex Splatting: Radiance Field Rendering with 3D Smooth Convexes" Language: Python Stars: 154 Issues: 2 Forks: 3 https://github.com/convexsplatting/convex-splatting

delta-rs/delta An Open-Source Machine Learning Framework in Rust Ξ” Language: Rust #deep_learning #delta #delta_rs #machine_learning #ml #neural_network #rust Stars: 154 Issues: 14 Forks: 4 https://github.com/delta-rs/delta

privastead/privastead Language: Rust Stars: 492 Issues: 1 Forks: 8 https://github.com/privastead/privastead