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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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📈 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 28 113 subscribers, ranking 4 720 in the Technologies & Applications category and 14 026 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 113 subscribers.

According to the latest data from 08 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 543 over the last 30 days and by 22 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.39%. 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 1 516 views. Within the first day, a publication typically gains 743 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 09 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.

28 113
Subscribers
+2224 hours
+1707 days
+54330 days
Posts Archive
BAndysc/AvaloniaVisualBasic6 A recreation of the classic Visual Basic 6 IDE and language in C# with Avalonia Language: C# Stars: 292 Issues: 2 Forks: 10 https://github.com/BAndysc/AvaloniaVisualBasic6

bytedance/Protenix A trainable PyTorch reproduction of AlphaFold 3. Language: Python Stars: 451 Issues: 9 Forks: 36 https://github.com/bytedance/Protenix

wenqsun/DimensionX DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion Language: Python Stars: 600 Issues: 6 Forks: 29 https://github.com/wenqsun/DimensionX

google-deepmind/alphafold3 AlphaFold 3 inference pipeline. Language: Python Stars: 2196 Issues: 5 Forks: 235 https://github.com/google-deepmind/alphafold3

meznaric/key-analyzer.nvim Helping you find free keybinds in vim Language: Lua #neovim #neovim_plugin Stars: 127 Issues: 2 Forks: 1 https://github.com/meznaric/key-analyzer.nvim

laiso/askrepo Source code reading with LLM. Language: Rust #codeanalyzer #gemini #llm Stars: 136 Issues: 1 Forks: 4 https://github.com/laiso/askrepo

THUDM/WebRL Building Open LLM Web Agents with Self-Evolving Online Curriculum RL Language: Python Stars: 140 Issues: 2 Forks: 6 https://github.com/THUDM/WebRL

wozulong/oaifree-search-shared Change default search engine to OAIFree search(shared). Language: JavaScript Stars: 156 Issues: 1 Forks: 9 https://github.com/wozulong/oaifree-search-shared

Doriandarko/Claude-Vision-Object-Detection A powerful Python tool that leverages Claude 3.5 Sonnet Vision API to detect and visualize objects in images. The script automatically draws bounding boxes around detected objects, labels them, and displays confidence scores. Language: Python Stars: 156 Issues: 1 Forks: 10 https://github.com/Doriandarko/Claude-Vision-Object-Detection

aarondfrancis/solo A Laravel package to run multiple commands at once, to aid in local development. Language: PHP Stars: 157 Issues: 4 Forks: 9 https://github.com/aarondfrancis/solo

jhj0517/AdvancedLivePortrait-WebUI gradio WebUI for AdvancedLivePortrait Language: Python #advancedliveportrait #ai #deeplearning #facial_recognition #gradio #liveportrait #open_source #python #torch #webui Stars: 158 Issues: 3 Forks: 15 https://github.com/jhj0517/AdvancedLivePortrait-WebUI

huggingface/smollm Language: Python Stars: 194 Issues: 0 Forks: 12 https://github.com/huggingface/smollm

logtd/ComfyUI-MochiEdit ComfyUI nodes to edit videos using Genmo Mochi Language: Python Stars: 200 Issues: 6 Forks: 11 https://github.com/logtd/ComfyUI-MochiEdit

GzGod/Dawn Language: Python Stars: 204 Issues: 0 Forks: 58 https://github.com/GzGod/Dawn

aniruddha-adhikary/mrt-buddy Check the Balance of your Dhaka MRT Pass or Rapid Pass Language: Kotlin #android #felica #felica_card #nfc Stars: 231 Issues: 18 Forks: 66 https://github.com/aniruddha-adhikary/mrt-buddy

edwko/OuteTTS Interface for OuteTTS models. Language: Python #gguf #llama #text_to_speech #transformers #tts Stars: 278 Issues: 6 Forks: 13 https://github.com/edwko/OuteTTS

muratcankoylan/AI-Investigator An automated AI system (Python framework) designed to analyze any type of website content and generate structured reports using Claude 3.5 Sonnet API and Firecrawl. While currently configured for enterprise AI case studies, the architecture can be adapted for various content analysis needs. Language: Python Stars: 311 Issues: 1 Forks: 31 https://github.com/muratcankoylan/AI-Investigator

hyperlight-dev/hyperlight Hyperlight is a lightweight Virtual Machine Manager (VMM) designed to be embedded within applications. It enables safe execution of untrusted code within micro virtual machines with very low latency and minimal overhead. Language: Rust Stars: 332 Issues: 7 Forks: 9 https://github.com/hyperlight-dev/hyperlight

BemiHQ/BemiDB Postgres read replica optimized for analytics Language: Go #analytics #data_lakehouse #data_movement #data_warehouse #duckdb #iceberg #olap #parquet #postgresql #replication #zero_etl Stars: 427 Issues: 2 Forks: 5 https://github.com/BemiHQ/BemiDB