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GitHub Trends

GitHub Trends

前往频道在 Telegram

See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis

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未指定国家技术与应用11 451

📈 Telegram 频道 GitHub Trends 的分析概览

频道 GitHub Trends (@githubtrending) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 10 846 名订阅者,在 技术与应用 类别中位列第 11 451

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 10 846 名订阅者。

根据 18 六月, 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 200,过去 24 小时变化为 10,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 6.37%。内容发布后 24 小时内通常能获得 2.86% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 691 次浏览,首日通常累积 310 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 1
  • 主题关注点: 内容集中在 linux, workflow, setup, claude, command 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:
See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis

凭借高频更新(最新数据采集于 19 六月, 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。

10 846
订阅者
+1024 小时
+307
+20030
帖子存档
#other #awesome_list #blockchain #cryptocurrency #curated_list #defi #infosec #knowledge_base #opsec #security https://github.com/OffcierCia/Crypto-OpSec-SelfGuard-RoadMap

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#python #dashboard #dashboard_icons #dashy #docker #flame #heimdall #homarr #homer #icons #organizr #organizr_v2 #selfhosted #sui https://github.com/walkxcode/dashboard-icons

#python #chatgpt #clip #deep_learning #gpt #hacktoberfest #hnsw #information_retrieval #knn #large_language_models #machine_learning #machinelearning #multi_modal #natural_language_processing #search_engine #semantic_search #tensor_search #transformers #vector_search #vision_language #visual_search https://github.com/marqo-ai/marqo

#python #deep_learning #inference #pytorch https://github.com/microsoft/DeepSpeed-MII

#typescript #dapp #ethereum #ethers #hooks #react #wagmi #web3 https://github.com/wagmi-dev/wagmi

#other #computer_forensics #dfir #digital_forensics #forensic_analysis #free #open_source https://github.com/cugu/awesome-forensics