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不要被骗子欺骗!Telemetrio 会找到并标记这些频道 👉 如果想查看标记,请订阅

GitHub repos

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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📈 Telegram 频道 GitHub repos 的分析概览

频道 GitHub repos (@github_repos) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 27 858 名订阅者,在 技术与应用 类别中位列第 4 773,并在 印度 地区排名第 14 404 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 27 858 名订阅者。

根据 26 十月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 443,过去 24 小时变化为 15,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 5.33%。内容发布后 24 小时内通常能获得 2.63% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 485 次浏览,首日通常累积 734 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 2。
  • 主题关注点: 内容集中在 fork, typescript, claude, arbitrage, cli 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“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.”

凭借高频更新(最新数据采集于 27 十月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

27 858
订阅者
+1524 小时
+1207 天
+44330 天
帖子存档
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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