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India15 998 Technologies & Applications5 103...

📈 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 26 492 subscribers, ranking 5 103 in the Technologies & Applications category and 15 998 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 26 492 subscribers.

According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 206 over the last 30 days and by 18 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.65%. Within the first 24 hours after publication, content typically collects 2.12% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 233 views. Within the first day, a publication typically gains 562 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
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 25 June, 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.

26 492

Subscribers

+1824 hours

+457 days

+20630 days

1 233

Post views

~ 56224 hours

~ 70248 hours

4.65%

Engagement rate

~ 4

Posts per day

Ads index

beta

Posts Archive

26 499

spla-tam/SplaTAM SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM Language: Python #computer_vision #gaussian_splatting #robotics #slam Stars: 270 Issues: 2 Forks: 20 https://github.com/spla-tam/SplaTAM

26 499

ZiqiaoPeng/SyncTalk This is the official source for our paper "SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis" #audio_driven_talking_face #talking_face #talking_face_generation #talking_head Stars: 180 Issues: 5 Forks: 2 https://github.com/ZiqiaoPeng/SyncTalk

26 499

devv-ai/devv An AI-powered search engine for developers. Stars: 185 Issues: 10 Forks: 3 https://github.com/devv-ai/devv

26 499

BeichenDream/FakeToa Fake IP sources using Linux's BPF feature Language: Python Stars: 295 Issues: 1 Forks: 45 https://github.com/BeichenDream/FakeToa

26 499

state-spaces/mamba Language: Python Stars: 739 Issues: 3 Forks: 41 https://github.com/state-spaces/mamba

26 499

100xdevs-cohort-2/assignments Language: JavaScript Stars: 166 Issues: 15 Forks: 178 https://github.com/100xdevs-cohort-2/assignments

26 499

friuns2/Leaked-GPTs Leaked GPTs Prompts Bypass the 25 message limit or to try out GPTs without a Plus subscription. #ai #awesome #awesome_list #gpts Stars: 170 Issues: 1 Forks: 30 https://github.com/friuns2/Leaked-GPTs

26 499

invalidunit/chflags_trollhelper Stars: 182 Issues: 0 Forks: 9 https://github.com/invalidunit/chflags_trollhelper

26 499

baaivision/GeoDream GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation Language: Python #3d #3d_aigc #3d_generation #text_to_3d Stars: 244 Issues: 1 Forks: 4 https://github.com/baaivision/GeoDream

26 499

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

26 499

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

26 499

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

26 499

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

26 499

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

26 499

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

26 499

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

26 499

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

26 499

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

26 499

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

26 499

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