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GitHub repos

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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 28 020 subscribers, ranking 4 736 in the Technologies & Applications category and 14 116 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 28 020 subscribers.

According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 467 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.38%. 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 05 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.

28 020
Subscribers
+1524 hours
+1187 days
+46730 days
Posts Archive
ruixin31/Rethink_RLVR Language: Python Stars: 182 Issues: 1 Forks: 8 https://github.com/ruixin31/Rethink_RLVR

hexdocom/lemonai The world's first Full-Stack Open-Source General AI Agent Language: JavaScript #agent #agentic_ai #ai #desktop #fullstack #javascript #llm #nodejs #vue3 Stars: 183 Issues: 4 Forks: 11 https://github.com/hexdocom/lemonai

Olow304/memvid Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed. Language: Python #ai #context #embedded #faiss #knowledge_base #knowledge_graph #llm #machine_learning #memory #nlp #offline_first #opencv #python #rag #retrieval_augmented_generation #semantic_search #vector_database #video_processing Stars: 252 Issues: 2 Forks: 25 https://github.com/Olow304/memvid

safety-research/circuit-tracer Language: JavaScript Stars: 582 Issues: 0 Forks: 52 https://github.com/safety-research/circuit-tracer

Tongyi-Zhiwen/QwenLong-L1 Language: Python Stars: 179 Issues: 2 Forks: 7 https://github.com/Tongyi-Zhiwen/QwenLong-L1

jina-ai/correlations Simple UI for debugging correlations of text embeddings Language: HTML Stars: 196 Issues: 2 Forks: 12 https://github.com/jina-ai/correlations

HazyResearch/Megakernels kernels, of the mega variety Language: Python Stars: 217 Issues: 1 Forks: 6 https://github.com/HazyResearch/Megakernels

Tencent-Hunyuan/HunyuanVideo-Avatar Language: Python Stars: 435 Issues: 17 Forks: 31 https://github.com/Tencent-Hunyuan/HunyuanVideo-Avatar

dvlab-research/Jenga Official Implementation: Training-Free Efficient Video Generation via Dynamic Token Carving Language: Python Stars: 157 Issues: 1 Forks: 6 https://github.com/dvlab-research/Jenga

aizhimou/jav-play Play video directly in JAVDB Language: TypeScript Stars: 189 Issues: 0 Forks: 17 https://github.com/aizhimou/jav-play

ross39/new_bloom_filter_repo Language: Python Stars: 207 Issues: 1 Forks: 8 https://github.com/ross39/new_bloom_filter_repo

jedisct1/yes-rs 🚀 A blazingly fast, memory-safe rewrite of the classic Unix 'yes' command. Written in Rust! 🦀 Language: Rust #rust #written_in_rust #writteninrust #yes Stars: 221 Issues: 7 Forks: 8 https://github.com/jedisct1/yes-rs

Dhaxor/super-utils-plus Language: TypeScript Stars: 150 Issues: 0 Forks: 1 https://github.com/Dhaxor/super-utils-plus

Lakr233/Sentry A powerful macOS security monitoring application that detects unauthorized access attempts and records video evidence for you. Language: Swift Stars: 175 Issues: 0 Forks: 14 https://github.com/Lakr233/Sentry

haidog-yaqub/MeanFlow Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al. Language: Python #diffusion_models #flow_matching #generative_model Stars: 185 Issues: 4 Forks: 7 https://github.com/haidog-yaqub/MeanFlow

logscore/Nimbus An open source alternative to Google Drive, One Drive, iCloud, etc. Language: TypeScript Stars: 378 Issues: 4 Forks: 12 https://github.com/logscore/Nimbus

dexter-xD/NxLite Lightning-fast HTTP server built in C Language: C #c #http_server Stars: 149 Issues: 0 Forks: 15 https://github.com/dexter-xD/NxLite

logangoins/SharpSuccessor SharpSuccessor is a .NET Proof of Concept (POC) for fully weaponizing Yuval Gordon’s (@YuG0rd) BadSuccessor attack from Akamai. Language: C# Stars: 175 Issues: 0 Forks: 21 https://github.com/logangoins/SharpSuccessor

Simple-Efficient/RL-Factory Train your Agent model via our easy and efficient framework Language: Python Stars: 244 Issues: 3 Forks: 25 https://github.com/Simple-Efficient/RL-Factory

saxpjexck/lsix Language: CSS Stars: 507 Issues: 1 Forks: 63 https://github.com/saxpjexck/lsix