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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 28 231 subscribers, ranking 4 737 in the Technologies & Applications category and 13 950 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 231 subscribers.

According to the latest data from 13 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 558 over the last 30 days and by 10 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 2.69% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 520 views. Within the first day, a publication typically gains 758 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 14 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.

28 231
Subscribers
+1024 hours
+1417 days
+55830 days
Posts Archive
jessfraz/advent-of-cuda Doing advent of code with CUDA and rust. Language: Rust Stars: 174 Issues: 5 Forks: 2 https://github.com/jessfraz/advent-of-cuda

terkelg/terkelg A website inside an SVG, inside an image, inside HTML, inside markdown, inside a GitHub readme.md. Language: TypeScript Stars: 175 Issues: 0 Forks: 15 https://github.com/terkelg/terkelg

hacktivist123/DevOps-Learning-Plan This is my DevOps learning plan for the year 2024 Stars: 182 Issues: 0 Forks: 55 https://github.com/hacktivist123/DevOps-Learning-Plan

miketromba/highest-paying-software-companies The top 500 highest paying companies based on median software engineer total comp on levels.fyi as of 12/1/23. Stars: 201 Issues: 0 Forks: 6 https://github.com/miketromba/highest-paying-software-companies

tarpetra/welcome-to-darknet A verified list of darknet markets and services with links for educational reference. Language: HTML #darknet #darknet_links #darknet_market #darknet_markets #darkweb #darkweb_links #deepweb_links #dnm #onion_links #onion_service #onion_services #tor #tor_hidden_service #tor_hidden_services Stars: 189 Issues: 0 Forks: 5 https://github.com/tarpetra/welcome-to-darknet

notmahi/dobb-e Dobb·E: An open-source, general framework for learning household robotic manipulation Language: G-code #behavior_cloning #imitation_learning #robot_learning #robotics Stars: 263 Issues: 0 Forks: 40 https://github.com/notmahi/dobb-e

google-deepmind/materials_discovery Language: Python Stars: 272 Issues: 2 Forks: 29 https://github.com/google-deepmind/materials_discovery

unslothai/unsloth 5X faster 50% less memory LLM finetuning Language: Python #ai #finetuning #llm Stars: 729 Issues: 8 Forks: 19 https://github.com/unslothai/unsloth

openpilot-hub/devpilot-intellij Your new coding buddy, designed exclusively for IntelliJ IDEA. Language: Java Stars: 218 Issues: 2 Forks: 14 https://github.com/openpilot-hub/devpilot-intellij

skydoves/FlexibleBottomSheet 🐬 Advanced Jetpack Compose bottom sheet for segmented sizing and non-modal type, similar to Google Maps. Language: Kotlin #android #animation #bottomsheet #jetpack_compose #modal #modal_bottom_sheets #skydoves Stars: 240 Issues: 0 Forks: 4 https://github.com/skydoves/FlexibleBottomSheet

dangeng/visual_anagrams Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models" Language: Python Stars: 269 Issues: 0 Forks: 14 https://github.com/dangeng/visual_anagrams

deepseek-ai/DeepSeek-LLM DeepSeek LLM: Let there be answers Language: Makefile Stars: 402 Issues: 2 Forks: 11 https://github.com/deepseek-ai/DeepSeek-LLM

HumanAIGC/AnimateAnyone Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation Stars: 226 Issues: 3 Forks: 3 https://github.com/HumanAIGC/AnimateAnyone

autonomousvision/mip-splatting Mip-Splatting: Alias-free 3D Gaussian Splatting Language: Python #3d_reconstruction #guassian_splatting #nerf #novel_view_synthesis Stars: 267 Issues: 2 Forks: 7 https://github.com/autonomousvision/mip-splatting

sdg-1/consulting-handbook A guide for technical professionals looking to start consulting #career #consulting #data #software Stars: 272 Issues: 0 Forks: 28 https://github.com/sdg-1/consulting-handbook

roboflow/multimodal-maestro Effective prompting for Large Multimodal Models like GPT-4 Vision or LLaVA. 🔥 Language: Python #cross_modal #gpt_4 #gpt_4_vision #instance_segmentation #llava #lmm #multimodality #object_detection #prompt_engineering #segment_anything #vision_language_model #visual_prompting Stars: 367 Issues: 1 Forks: 23 https://github.com/roboflow/multimodal-maestro

zennomi/Seg-Mirror Kính chiếu yêuuuu quỷ seg hiện raaa Language: JavaScript Stars: 199 Issues: 2 Forks: 96 https://github.com/zennomi/Seg-Mirror

isafulf/inbox_cleaner A python script to help manage a Gmail inbox by filtering out promotional emails using GPT-3 or GPT-4. Language: Python Stars: 211 Issues: 1 Forks: 17 https://github.com/isafulf/inbox_cleaner

nihalsid/mesh-gpt MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers Stars: 235 Issues: 0 Forks: 3 https://github.com/nihalsid/mesh-gpt

epfLLM/meditron Meditron is a suite of open-source medical Large Language Models (LLMs). Language: Python Stars: 293 Issues: 2 Forks: 10 https://github.com/epfLLM/meditron