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๐Ÿ“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 26 446 subscribers, ranking 5 147 in the Technologies & Applications category and 16 350 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 26 446 subscribers.

According to the latest data from 18 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 219 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.80%. Within the first 24 hours after publication, content typically collects 2.40% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 270 views. Within the first day, a publication typically gains 635 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.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€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.โ€

Thanks to the high frequency of updates (latest data received on 19 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.

26 446
Subscribers
No data24 hours
+67 days
+21930 days
Posts Archive
azat-io/eslint-plugin-de-morgan ๐Ÿงต ESLint plugin for transforming negated boolean expressions via De Morganโ€™s laws Language: TypeScript #eslint #eslint_plugin #eslint_rules Stars: 173 Issues: 1 Forks: 1 https://github.com/azat-io/eslint-plugin-de-morgan

13point5/gemini-cursor An AI cursor for desktop using Gemini 2.0 Flash (Experimental) Language: TypeScript Stars: 183 Issues: 1 Forks: 12 https://github.com/13point5/gemini-cursor

pig-mesh/deepseek4j deepseek java sdk Language: Java #deepseek #deepseek_r1 #java #openai #spring_boot Stars: 189 Issues: 2 Forks: 41 https://github.com/pig-mesh/deepseek4j

AnotiaWang/deep-research-web-ui (Supports DeepSeek R1) An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. Language: Vue #agent #ai #free #gpt #nuxt #openai #research #web Stars: 192 Issues: 4 Forks: 10 https://github.com/AnotiaWang/deep-research-web-ui

zilliztech/deep-searcher Deep Research Alternative to Reason on Private Data in Python Language: Python #agent #agentic_rag #deep_research #deepseek #deepseek_r1 #llm #milvus #openai #rag #vector_database #zilliz Stars: 341 Issues: 2 Forks: 37 https://github.com/zilliztech/deep-searcher

Chocapikk/wpprobe A fast WordPress plugin enumeration tool Language: Go Stars: 192 Issues: 0 Forks: 26 https://github.com/Chocapikk/wpprobe

Gen-Verse/ReasonFlux ReasonFlux-32B beats o1-preview and DeepSeek-V3 with only 500 thought templates Language: Python #chain_of_thought #deepseek_r1 #deepseek_v3 #llm_rlhf #o1_mini #o1_preview #reinforcement_learning #sft_data Stars: 194 Issues: 2 Forks: 10 https://github.com/Gen-Verse/ReasonFlux

FoundationVision/FlashVideo FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video Generation Language: Python #efficient_generative_model #text_to_video #video_generation Stars: 195 Issues: 5 Forks: 3 https://github.com/FoundationVision/FlashVideo

dhcode-cpp/X-R1 minimal-cost for training 0.5B R1-Zero Language: Python Stars: 226 Issues: 6 Forks: 21 https://github.com/dhcode-cpp/X-R1

masterFoad/NanoSage Local LLM Powered Recursive Search & Smart Knowledge Explorer Language: Python #ai_researcher #algorithms #cli #gemma #knowledge_base #local #monte_carlo_search #nanosage #ollama #python3 #rag #recursive_search #report #small_language_models Stars: 185 Issues: 6 Forks: 20 https://github.com/masterFoad/NanoSage

abhishekkrthakur/aiaio lightweight, python based chat ui Language: Python Stars: 188 Issues: 7 Forks: 29 https://github.com/abhishekkrthakur/aiaio

DA-Group-PKU/Magic-1-For-1 Language: Python Stars: 198 Issues: 7 Forks: 16 https://github.com/DA-Group-PKU/Magic-1-For-1

Marc-Sol-degen/pumpfun-bundler pumpfun bundler. template version. Raydium bundler is also ready. Language: TypeScript #jito_bundle #pumpfun_bundler_bot #solana_bot_github Stars: 232 Issues: 1 Forks: 187 https://github.com/Marc-Sol-degen/pumpfun-bundler

boku7/StringReaper Reaping treasures from strings in remote processes memory Language: C Stars: 178 Issues: 0 Forks: 16 https://github.com/boku7/StringReaper

Emissary-Tech/legit-rag A real production-worthy RAG Pipeline. Language: Python Stars: 185 Issues: 0 Forks: 24 https://github.com/Emissary-Tech/legit-rag

seal-rg/recurrent-pretraining Pretraining code for a large-scale depth-recurrent language model Language: Python #llms #pretraining #reasoning #recurrent_depth Stars: 249 Issues: 2 Forks: 14 https://github.com/seal-rg/recurrent-pretraining

tar-ser/Whale-DEX-Trading-Tool The platform combines Smart Split algorithms, in-depth liquidity pool analysis, advanced risk management techniques, integration with leading DEX (Uniswap, Sushiswap, Curve) and aggregators (1inch, Matcha), as well as support for Dark Pool to confidentially execute large orders. Language: C# #1inch #algorithmic_trading #chainlink #crosschain #crypto_security #crypto_trading #curve_finance #darkpools #defi #dex #evm #gas_optimization #high_frequency_trading #layer2 #matcha #quantitative_trading #twap #vwap #zkproof #zksnark Stars: 462 Issues: 0 Forks: 53 https://github.com/tar-ser/Whale-DEX-Trading-Tool

ImtiazMani/doctor-dok Convert all your Blood Tests, MRI Scans, TK Scans, After Visit reports, Hospital Admission Reports to JSON, safely store in the cloud and discuss, annotate, translate it with AI. Language: TypeScript Stars: 276 Issues: 0 Forks: 60 https://github.com/ImtiazMani/doctor-dok

fdarkaou/open-deep-research An open-source alternative to OpenAI and Gemini's deep research. Language: TypeScript Stars: 279 Issues: 0 Forks: 29 https://github.com/fdarkaou/open-deep-research