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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 28 052 subscribers, ranking 4 731 in the Technologies & Applications category and 14 088 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 052 subscribers.

According to the latest data from 05 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 502 over the last 30 days and by 38 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.37%. Within the first 24 hours after publication, content typically collects 2.65% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 506 views. Within the first day, a publication typically gains 742 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 06 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.

28 052
Subscribers
+3824 hours
+1347 days
+50230 days
Posts Archive
1230young/bizgen [CVPR 2025] This is an official inference code of the paper "BizGen: Advancing Article-level Visual Text Rendering for Infographics Generation" . Project page: https://bizgen-msra.github.io/ Language: Python Stars: 183 Issues: 8 Forks: 21 https://github.com/1230young/bizgen

zhtyyx/ioe One-Stop Retail Inventory Solution Language: HTML Stars: 224 Issues: 1 Forks: 37 https://github.com/zhtyyx/ioe

DosX-dev/Astral-PE Astral-PE is a low-level mutator (Headers/EP obfuscator) for native Windows PE files (x32/x64) Language: C# #cpp #cs #cybersecurity #dotnet #hacktoberfest #infosec #low_level #malware_analysis #mutator #native #obfuscation #obfuscator #pe #pentest #reverse_engineering #static_analysis Stars: 177 Issues: 0 Forks: 13 https://github.com/DosX-dev/Astral-PE

Intelligent-Internet/ii-researcher II-Researcher: a new open-source framework designed to aid building search / research agents Language: Python Stars: 191 Issues: 0 Forks: 17 https://github.com/Intelligent-Internet/ii-researcher

chongdashu/unreal-mcp Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP). Language: Python #mcp_server #unreal_engine_5 Stars: 236 Issues: 2 Forks: 25 https://github.com/chongdashu/unreal-mcp

FareedKhan-dev/all-rl-algorithms Implementation of all RL algorithms in a simpler way Language: Jupyter Notebook #agent #llm #openai #python #reinforcement_learning #rl Stars: 240 Issues: 0 Forks: 19 https://github.com/FareedKhan-dev/all-rl-algorithms

rinadelph/CursorPlus Enables source file where you can edit and improve your own cursor ide Language: JavaScript Stars: 173 Issues: 5 Forks: 30 https://github.com/rinadelph/CursorPlus

liuff19/Video-T1 Official Implementation of Video-T1: Test-Time Scaling for Video Generation Language: Python #aigc #chain_of_thought #test_time_scaling #video #video_generation Stars: 187 Issues: 2 Forks: 12 https://github.com/liuff19/Video-T1

VAST-AI-Research/TripoSF SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modeling Language: Python #3d_generation #3d_reconstruction #flexicubes #image_to_3d Stars: 237 Issues: 2 Forks: 6 https://github.com/VAST-AI-Research/TripoSF

stuzero/pg-mcp Language: Python Stars: 283 Issues: 4 Forks: 3 https://github.com/stuzero/pg-mcp

EmberEmu/Hexi Header-only, lightweight C++ library for binary streaming. Network data handling made easy peasy! Language: C++ #binary_stream #buffer_management #header_only #serialisation #serialization #serialization_library Stars: 190 Issues: 3 Forks: 2 https://github.com/EmberEmu/Hexi

VAST-AI-Research/TripoSG TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models Language: Python #3d_genai #3d_generation #3d_reconstruction #image_to_3d Stars: 249 Issues: 7 Forks: 15 https://github.com/VAST-AI-Research/TripoSG

Rukenshia/pomodoro ESP32-based focus timer with an epaper display and rotary dial Language: C Stars: 404 Issues: 0 Forks: 7 https://github.com/Rukenshia/pomodoro

lharries/whatsapp-mcp Language: Python Stars: 602 Issues: 1 Forks: 88 https://github.com/lharries/whatsapp-mcp

faisalsayed10/no-ghibli No Ghibli on Twitter Language: Jupyter Notebook Stars: 164 Issues: 1 Forks: 13 https://github.com/faisalsayed10/no-ghibli

mineek/appstoretroller Language: Objective-C Stars: 166 Issues: 3 Forks: 22 https://github.com/mineek/appstoretroller

caioricciuti/cr-mac-helper Shell scripts to help manage, clean, and optimize your macOS system. Includes app cleanup, path management, and more. Language: Shell #cleaner #cleanup_script #helper_tool #macos #shell_script Stars: 166 Issues: 0 Forks: 9 https://github.com/caioricciuti/cr-mac-helper

ByungKwanLee/DeepSick-R1 Reproduction of DeepSeek-R1 Language: Python Stars: 176 Issues: 1 Forks: 17 https://github.com/ByungKwanLee/DeepSick-R1

mar-antaya/2025_f1_predictions Language: Python Stars: 188 Issues: 4 Forks: 23 https://github.com/mar-antaya/2025_f1_predictions

kepano/defuddle-cli Command line utility to extract clean html, markdown and metadata from web pages. Language: TypeScript Stars: 201 Issues: 0 Forks: 7 https://github.com/kepano/defuddle-cli