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codewithimraan

codewithimraan

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

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📈 Analytical overview of Telegram channel codewithimraan

Channel codewithimraan (@codewithimraan) in the English language segment is an active participant. Currently, the community unites 15 423 subscribers, ranking 8 313 in the Technologies & Applications category and 26 989 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 423 subscribers.

According to the latest data from 30 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -238 over the last 30 days and by -10 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 9.36%. Within the first 24 hours after publication, content typically collects 2.11% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 444 views. Within the first day, a publication typically gains 325 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 stack, here:-, microsoft, internship, programmer.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Hey, Welcome to telegram channel here I provided full source code links, Resources and Hand written Notes about coding 🧑‍💻🚀

Thanks to the high frequency of updates (latest data received on 31 July, 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.

15 423
Subscribers
-1024 hours
-547 days
-23830 days
Posts Archive
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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33_claude_prompts.pdf0.14 KB

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Claude opus 4.7 _20260515_115121_0000.pdf0.53 KB

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Jan-Mar 2026 Hiring.pdf0.73 KB

Get these Free JavaScript resources🚀 Made you Junior dev to Experience d devTap here:- https://codewithimraan.com/free-javascript-resources/ Don't forget to react to this message to get more content like this ❤️

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