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codewithimraan

codewithimraan

前往频道在 Telegram

Hey, Welcome to telegram channel here I provided full source code links, Resources and Hand written Notes about coding 🧑‍💻🚀

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📈 Telegram 频道 codewithimraan 的分析概览

频道 codewithimraan (@codewithimraan) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 15 046 名订阅者,在 技术与应用 类别中位列第 8 304,并在 印度 地区排名第 26 591

📊 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 15 046 名订阅者。

根据 14 九月, 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 -270,过去 24 小时变化为 -4,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 9.61%。内容发布后 24 小时内通常能获得 2.03% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 446 次浏览,首日通常累积 306 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 stack, here:-, microsoft, internship, programmer 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:
Hey, Welcome to telegram channel here I provided full source code links, Resources and Hand written Notes about coding 🧑‍💻🚀

凭借高频更新(最新数据采集于 15 九月, 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。

15 046
订阅者
-424 小时
-647 天
-27030 天
帖子存档
🚨 10 GITHUB REPOS THAT FEEL ILLEGAL TO USE 🤯 These open-source projects can replace expensive tools and give you serious developer superpowers. 👀 yt-dlp — Download videos from 1,000+ sites 🔗 https://github.com/yt-dlp/yt-dlp Ollama — Run AI models locally 🔗 https://github.com/ollama/ollama Fooocus — Create AI images locally 🔗 https://github.com/lllyasviel/Fooocus Whisper — Speech-to-text in 99+ languages 🔗 https://github.com/openai/whisper Plausible Analytics — Privacy-friendly analytics 🔗 https://github.com/plausible/analytics AppFlowy — Open-source Notion alternative 🔗 https://github.com/AppFlowy-IO/AppFlowy Penpot — Open-source UI/UX design tool 🔗 https://github.com/penpot/penpot n8n — Automate workflows 🔗 https://github.com/n8n-io/n8n Cal.com — Open-source scheduling 🔗 https://github.com/calcom/cal.com Bitwarden — Open-source password manager 🔗 https://github.com/bitwarden/server 🔥 Save this list. Some of these are seriously underrated!

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You’re part of this coding & AI community. Which one describes you best?
Anonymous voting

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Developed an Aspect Based Sentiment Analysis (ABSA) model to analyze eSports game previews and identify sentiment related to teams, players, and match strategies. Applied Natural Language Processing (NLP) techniques to extract meaningful insights from text data, helping improve understanding of audience opinions and game predictions.

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Stop buying AI courses. Top companies are teaching AI for free 👇 1/ Google: https://grow.google/ai 2/ NVIDIA: https://www.nvidia.com/en-in/learn/ai-learning-essentials/ 3/ Anthropic: https://anthropic.skilljar.com/ 4/ OpenAI: https://academy.openai.com/ 5/ IBM: https://skillsbuild.org/

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33_claude_prompts.pdf0.14 KB

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