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India14 404 Technologies & Applications4 773...

📈 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 27 858 subscribers, ranking 4 773 in the Technologies & Applications category and 14 404 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 27 858 subscribers.

According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 443 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 5.33%. Within the first 24 hours after publication, content typically collects 2.63% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 485 views. Within the first day, a publication typically gains 734 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 27 October, 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.

27 858

Subscribers

+1524 hours

+1207 days

+44330 days

1 485

Post views

~ 73424 hours

~ 94448 hours

5.33%

Engagement rate

~ 4

Posts per day

Ads index

beta

Posts Archive

27 859

awlevin/typesafe-computer-use Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS. Language: Python #ai_agents #automation #computer_use #macos #ocr #typesafe Stars: 773 Issues: 12 Forks: 60 https://github.com/awlevin/typesafe-computer-use

27 859

mizorewww/laya-coreml Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks. Language: Python #apple_neural_engine #apple_silicon #coreml #decision_model #laya #local_ai #modernbert #on_device_ai #typed_decisions Stars: 1004 Issues: 1 Forks: 65 https://github.com/mizorewww/laya-coreml

27 859

Mak5er/AirCard Apple Wallet Card Skinner for iOS 18+ (No Jailbreak Required) Language: Swift Stars: 2063 Issues: 17 Forks: 81 https://github.com/Mak5er/AirCard

27 859

yibie/awesome-jev A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions. Language: Python #awesome #awesome_list #jev #llm Stars: 723 Issues: 10 Forks: 104 https://github.com/yibie/awesome-jev

27 859

bespokelabsai/nimble Local typed decisions, contrastive data curation, and model evaluation. Language: Python Stars: 1277 Issues: 2 Forks: 89 https://github.com/bespokelabsai/nimble

27 859

mizorewww/laya-mlx Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API. Language: Python #apple_silicon #decision_model #inference #laya #local_ai #machine_learning #mlx #modernbert #system_one #typed_decisions Stars: 2085 Issues: 4 Forks: 105 https://github.com/mizorewww/laya-mlx

27 859

zai-org/ZCode Z.ai's coding agent harness. Powerful, intelligent, extensible. Language: TypeScript Stars: 4018 Issues: 11 Forks: 1065 https://github.com/zai-org/ZCode

27 859

jaredpalmer/kev tiny Jev-like model built on top of Qwen2.5-0.5B you can train and run on your MacBook Language: Python Stars: 637 Issues: 2 Forks: 35 https://github.com/jaredpalmer/kev

27 859

jackwener/wx-cli-again WeChat local data CLI (query/decrypt/export) — fresh start from wx-cli Language: Rust Stars: 675 Issues: 0 Forks: 1628 https://github.com/jackwener/wx-cli-again

27 859

TianyuCodings/NanoJev A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline. Language: Python Stars: 1111 Issues: 7 Forks: 145 https://github.com/TianyuCodings/NanoJev

27 859

NandhaKishorM/laya Language: Python Stars: 1809 Issues: 20 Forks: 171 https://github.com/NandhaKishorM/laya

27 859

korcarc/text-humanizer text-humanizer is an open-source project designed to convert text generated by AI to its "humanized" version. Bypasses the most of AI detectors such as Turnitin or GPTZero Language: Python #ai_humanization #gptzero #gptzero_bypass #text_humanizer #turnitin #turnitin_bypass Stars: 726 Issues: 0 Forks: 83 https://github.com/korcarc/text-humanizer

27 859

jarrodwatts/jev-trader One AI trade decision every Monad block. Jev on Kuru MON-USDC. Language: TypeScript Stars: 940 Issues: 3 Forks: 181 https://github.com/jarrodwatts/jev-trader

27 859

robbietilton/Compositor The Photoshop alternative for Mac Language: Swift Stars: 1069 Issues: 21 Forks: 123 https://github.com/robbietilton/Compositor

27 859

mcncarl/jianying-headless Private source preview: native Jianying drafts, isolated editing/export, and standalone Agent Skill. Language: Python Stars: 1200 Issues: 3 Forks: 554 https://github.com/mcncarl/jianying-headless

27 859

vinnylarouge/jevlike Language: Python Stars: 748 Issues: 2 Forks: 71 https://github.com/vinnylarouge/jevlike

27 859

TheoLeeCJ/openjev Can we run something like Jev on a 3090 at home? Language: Python Stars: 1050 Issues: 5 Forks: 70 https://github.com/TheoLeeCJ/openjev

27 859

tamaratran/fast-jev-compaction Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim. Language: TypeScript Stars: 1492 Issues: 9 Forks: 72 https://github.com/tamaratran/fast-jev-compaction

27 859

browser-use/jev-ultrafast i. am. speed. Language: Python Stars: 3172 Issues: 20 Forks: 184 https://github.com/browser-use/jev-ultrafast

27 859

DefiLeoo/YOINK Language: Python Stars: 379 Issues: 1 Forks: 22 https://github.com/DefiLeoo/YOINK