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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

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πŸ”“Unlock Your Coding Potential with ChatGPT πŸš€ Your Ultimate Guide to Ace Coding Interviews! πŸ’» Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

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πŸ“ˆ Analytical overview of Telegram channel Artificial Intelligence & ChatGPT Prompts

Channel Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) in the English language segment is an active participant. Currently, the community unites 42 279 subscribers, ranking 3 084 in the Technologies & Applications category and 8 935 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 42 279 subscribers.

According to the latest data from 05 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 13 over the last 30 days and by -9 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.69%. Within the first 24 hours after publication, content typically collects 0.66% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 715 views. Within the first day, a publication typically gains 277 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
  • Thematic interests: Content is focused on key topics such as learning, algorithm, detection, llm, pattern.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œπŸ”“Unlock Your Coding Potential with ChatGPT πŸš€ Your Ultimate Guide to Ace Coding Interviews! πŸ’» Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data”

Thanks to the high frequency of updates (latest data received on 06 September, 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.

42 279
Subscribers
-924 hours
+97 days
+1330 days
Posts Archive
Product team cases where a #productteams improved content discovery Case: Netflix and Personalized Content Recommendations Problem: Netflix wanted to improve user engagement by enhancing content discovery and reducing churn. Solution: Using a product outcome mindset, Netflix's product team developed a recommendation algorithm that analyzed user viewing behavior and preferences to offer personalized content suggestions. Outcome: Netflix saw a significant increase in user engagement, with the personalized recommendations leading to higher watch times and reduced churn. Learn more: You can read about Netflix's recommendation system in various articles and research papers, such as "Netflix Recommendations: Beyond the 5 stars" (by Netflix). Case: Spotify and Music Discovery Problem: Spotify users were overwhelmed by the vast music library and struggled to discover new music. Solution: Spotify's product team used data-driven insights to create personalized playlists like "Discover Weekly" and "Release Radar," tailored to users' listening habits. Outcome: The personalized playlists increased user engagement, time spent on the platform, and the likelihood of users discovering and enjoying new music. Link: Learn more about Spotify's approach to music discovery in articles like "How Spotify Discover Weekly and Release Radar Playlist Work" (by The Verge).

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Interview questions asked by top product-based companies. A friend of mine recently shared their interview journey, and I'd like to pass on what I learned about the data structures and algorithms (DSA) rounds. πŸ‘¨πŸΎβ€πŸ’» Data Structures: He encountered questions on topics like arrays, strings, matrices, stacks, queues, and different types of linked lists (singly, doubly, and circular). ▢️ Algorithms: He was also interviewed on a wide array of algorithms like linear search, binary search, and sorting algorithms (bubble, quick, merge). And faced questions on more challenging subjects like Greedy algorithms, Dynamic programming, and Graph algorithms. πŸ–› Specifics: The devil lies in the details! His interview also delved into advanced topics such as Advanced Data Structures, Pattern Searching, Recursion, Backtracking, and Divide and Conquer strategies. However, your ability to apply these concepts to real-world situations will undoubtedly set you apart from others. On top, If you’re stuck at any of the above questions and need the right guidance in cracking top product-based company interviews, As a community of tech enthusiasts, let's share our own interview experiences in the comments below. Together, we can learn from each other's experiences.

10 In-Demand Information Technology (IT) Jobs for 2023
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πŸ”° All Type of Campus Placement Previous Material πŸ”° Contain:- 100+ Companies SIze 30 GB+ β­•Download link:- https://drive.google.com/drive/folders/1SkCOcAS0Kqvuz-MJkkjbFr1GSue6Ms6m

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Do you make grammar mistakes whenever you speak English? Is it difficult for you to understand Americans and British people when they speak quickly? Are you ready to be fluent? Then join this channel quickly πŸ‘‡πŸ‘‡ https://t.me/englishlearnerspro

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8 ChatGPT prompts to use when you need a spark of inspiration πŸ‘‡πŸ‘‡ https://t.me/codingwithsagar/455

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