CodeNoteBookš
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š Analytical overview of Telegram channel CodeNoteBookš
Channel CodeNoteBookš (@codenotebook) in the English language segment is an active participant. Currently, the community unites 43 331 subscribers, ranking 3 033 in the Technologies & Applications category and 8 876 in the India region.
š Audience metrics and dynamics
Since its creation on Š½ŠµŠ²ŃŠ“Š¾Š¼Š¾, the project has demonstrated rapid growth, gathering an audience of 43 331 subscribers.
According to the latest data from 25 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -502 over the last 30 days and by -26 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 5.20%. Within the first 24 hours after publication, content typically collects 2.00% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 254 views. Within the first day, a publication typically gains 868 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 microsoft, engineer, introduction, coursera, iit.
š Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
āContact: ajitcollabs@gmail.com
@ajitcodeā
Thanks to the high frequency of updates (latest data received on 26 August, 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.
43 331
Subscribers
-2624 hours
-1777 days
-50230 days
Posts Archive
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43 324
"Risk comes from not knowing what you're doing." ā Warren Buffett
That quote is exactly why I've been exploring AI tools that improve research instead of replacing human judgment.
One feature I found interesting is that LongbridgeAI now lets you build your own investing research agent powered by Kimi K3.
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I built a custom agent with Kimi K3 to see how it handles investment research, and it felt much more structured than using a standalone chatbot.
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Views expressed are my own, do not represent Longbridge's position, and do not constitute any recommendation.
Investing involves risk. The value of investments can go up as well as down.
LongbridgeAI's output is for reference only and does not constitute investment advice.
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Hereās a short Telegram-friendly version:
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43 324
Repost from CodeNoteBookš
Basic to Advanced Python Handwritten Notes šØš»
Share with others to helpāØ
ā
Join our Community:
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Do react ā¤ļø if you want more resources like this
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I recently tracked my scrolling habits and realized most platforms are designed to maximize screen time, not better decisions.
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43 324
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