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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 26 452 subscribers, ranking 5 142 in the Technologies & Applications category and 16 261 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 26 452 subscribers.

According to the latest data from 20 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 204 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.75%. Within the first 24 hours after publication, content typically collects 2.28% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 257 views. Within the first day, a publication typically gains 603 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.

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 21 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.

26 452
Subscribers
+224 hours
+87 days
+20430 days
Posts Archive
thu-ml/SageAttention Quantized Attention that achieves speedups of 2.1x and 2.7x compared to FlashAttention2 and xformers, respectively, without lossing end-to-end metrics across various models. Language: Python #attention #inference_acceleration #llm #quantization Stars: 145 Issues: 6 Forks: 3 https://github.com/thu-ml/SageAttention

16131zzzzzzzz/EveryoneNobel A flexible framework powered by ComfyUI for generating personalized Nobel Prize images. Language: Python #comfyui #imagegeneration Stars: 490 Issues: 5 Forks: 40 https://github.com/16131zzzzzzzz/EveryoneNobel

AgibotTech/agibot_x1_train The reinforcement learning training code for AgiBot X1. Language: Python #open_source #reinforcement_learning #robotics Stars: 763 Issues: 2 Forks: 235 https://github.com/AgibotTech/agibot_x1_train

whitequark/superlinker a tool for reinterpreting ELF executables and shared libraries Language: Rust Stars: 195 Issues: 0 Forks: 2 https://github.com/whitequark/superlinker

builtbybel/Flyby11 FlybyScript Language: C# #24h2 #flybyscript #windows_11 Stars: 207 Issues: 2 Forks: 17 https://github.com/builtbybel/Flyby11

xlaogirlxne/crypto-wallet-seed-generator Seed phrase Generation and Checker. Crypto wallet seed phrase checker for BTC, ETH, LTC, DOGE. Mnemonic seed phrase wallet generator. Language: C++ #bitcoin #bitcoin_bruteforce #bruteforce_crypto #crypto_bruteforce #crypto_finder_app #crypto_scanner #crypto_tools #crypto_wallet #crypto_wallet_seed_generator #cryptocurrency #finder_crypto #hack_crypto_wallet #mnemonic_generator #seed_phrase_bruteforce #seed_phrase_checker #seed_phrase_finder #seed_phrase_generator #seed_phrase_generator_github #seed_recovery_tool Stars: 208 Issues: 0 Forks: 51 https://github.com/xlaogirlxne/crypto-wallet-seed-generator

yoheinakajima/babyagi-2o the simplest self-building general autonomous agent Language: Python Stars: 210 Issues: 0 Forks: 31 https://github.com/yoheinakajima/babyagi-2o

cfahlgren1/qwen-2.5-code-interpreter Qwen 2.5 Coder 1.5B with Code Interpreter Language: TypeScript Stars: 214 Issues: 1 Forks: 30 https://github.com/cfahlgren1/qwen-2.5-code-interpreter

tokio-rs/toasty An async ORM for Rust (incubating) Language: Rust Stars: 444 Issues: 0 Forks: 9 https://github.com/tokio-rs/toasty

AgibotTech/agibot_x1_infer The inference module for AgiBot X1. Language: C++ #inference #open_source #robotics Stars: 455 Issues: 2 Forks: 152 https://github.com/AgibotTech/agibot_x1_infer

RamboRogers/rfhunter RFHunter is a device to find hidden Cameras at AirBNBs Language: C++ Stars: 588 Issues: 4 Forks: 17 https://github.com/RamboRogers/rfhunter

egoist/whispo AI-powered dictation tool Language: TypeScript Stars: 237 Issues: 2 Forks: 12 https://github.com/egoist/whispo

dogdie233/LiarsBarEnhance A bepinex mod to enhance game experience (maybe) Language: C# #bepinex #mod Stars: 262 Issues: 2 Forks: 20 https://github.com/dogdie233/LiarsBarEnhance

konstin/sudoku-in-python-packaging Sudoku solving in python packaging Language: Python Stars: 315 Issues: 0 Forks: 0 https://github.com/konstin/sudoku-in-python-packaging

corbt/agent.exe Language: TypeScript Stars: 941 Issues: 11 Forks: 67 https://github.com/corbt/agent.exe

rhymes-ai/Allegro Allegro is a powerful text-to-video model that generates high-quality videos up to 6 seconds at 15 FPS and 720p resolution from simple text input. Language: Python Stars: 239 Issues: 10 Forks: 11 https://github.com/rhymes-ai/Allegro

adarshb3/Virtual-Try-On-Application-using-Flask-Twilio-and-Gradio This repository contains the code for a virtual try-on application built using Flask, Twilio's WhatsApp API, and Gradio's virtual try-on model. Users can send images via WhatsApp to try on garments virtually, and the results are sent back to them. Language: Python Stars: 265 Issues: 0 Forks: 29 https://github.com/adarshb3/Virtual-Try-On-Application-using-Flask-Twilio-and-Gradio

cvg/depthsplat DepthSplat: Connecting Gaussian Splatting and Depth Language: Python #feed_forward_gaussian_splatting #monocular_depth #multi_view_stereo #view_synthesis Stars: 318 Issues: 8 Forks: 9 https://github.com/cvg/depthsplat

nh2/internal-contstrained-pki Safely shareable TLS root CA for .internal networks using Name Constraints Language: Shell #openssl #pki #tls #x509 Stars: 467 Issues: 0 Forks: 10 https://github.com/nh2/internal-contstrained-pki