AI & Coding Resources 👨💻📑🚀
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👉 Sharing Free Technical and Coding realted Resources and handwritten Notes 🤩📑👨💻. 👉 Follow on LinkedIn for more content :- https://www.linkedin.com/in/manish-kumar-shah 👉 Follow on Instagram for Short Notes :- https://instagram.com/codes.manish
Show more📈 Analytical overview of Telegram channel AI & Coding Resources 👨💻📑🚀
Channel AI & Coding Resources 👨💻📑🚀 (@codetreasure) in the English language segment is an active participant. Currently, the community unites 38 146 subscribers, ranking 3 522 in the Technologies & Applications category and 10 342 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 38 146 subscribers.
According to the latest data from 11 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -444 over the last 30 days and by -19 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 5.83%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 223 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as humva, hunt, techinnovation, integration, insight.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“👉 Sharing Free Technical and Coding realted Resources and handwritten Notes 🤩📑👨💻.
👉 Follow on LinkedIn for more content :- https://www.linkedin.com/in/manish-kumar-shah
👉 Follow on Instagram for Short Notes :- https://instagram.com/codes.m...”
Thanks to the high frequency of updates (latest data received on 12 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.
38 146
Subscribers
-1924 hours
-1317 days
-44430 days
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Channel Posts
One of the biggest mistakes companies are making with AI right now?
Building critical workflows around a single AI model.
The AI landscape is moving too fast. Models improve, pricing changes, and new capabilities emerge constantly. If your business is locked into one provider, you're limiting your ability to adapt.
That's why Rebel by Mindstone caught my attention.
What started with Joshua Wohle's personal operating system has evolved into a platform designed to help organizations adopt AI at scale—without locking themselves into a single model or vendor.
Instead of isolated AI tools and disconnected experiments, Rebel gives every employee their own AI agent while keeping workflows portable across different AI providers.
And this isn't just a concept.
Epignosis, the company behind TalentLMS (22M+ users), recently rolled Rebel out to all 250 employees across engineering, sales, finance, product, and customer success. Twelve weeks later, they reported gaining the equivalent capacity of 8 full-time employees.
A few things that stood out to me:
• Works across multiple AI providers, so you're never locked into one model.
• Connects with email, CRM, Slack, calendars, and documents.
• Can run locally, keeping sensitive data under your control.
• Includes approval layers before taking actions on your behalf.
• Builds shared organizational memory so knowledge compounds over time.
The memory piece is especially interesting.
As people create workflows, automate tasks, and solve problems, that knowledge becomes available across the organization instead of being trapped in individual chats.
Mindstone has now fair-sourced Rebel, making it free for individuals and organizations with up to 100 users.
If you're thinking about how to roll out AI across an entire company—not just for a handful of power users—Rebel is worth checking out.
🔗 Download Rebel: https://rebel.mindstone.com/
🔗 Product Hunt: https://www.producthunt.com/products/mindstone-rebel
#Mindstone #AI
| 2 |  No text... | 2 144 |
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TCS Mass Hiring 2026 ! | 4 546 |
| 5 | Cybersecurity is no longer just a tech skill.
It’s becoming a basic digital survival skill.
Almost everything today lives online:
• Banking
• Remote work
• Social media
• Cloud storage
• AI tools
• Online payments & personal data
Which also means cyber threats are evolving faster than ever.
What surprised me recently is how many attacks still happen because of simple mistakes:
• Weak passwords
• Fake emails
• Unsafe downloads
• Poor security awareness
And with AI making scams more convincing, understanding cybersecurity fundamentals is becoming valuable across almost every profession, not just IT roles.
That’s one reason I’ve been exploring structured cybersecurity learning lately instead of randomly consuming content online.
Platforms like Coursera have beginner friendly cybersecurity programs that help break down concepts in a practical way.
Some interesting courses I came across:
Cyber Security Fundamentals: https://imp.i384100.net/B5ynbx
Cybersecurity Essentials: https://imp.i384100.net/GbVKVr
Data Privacy: https://imp.i384100.net/1GP9Ra
Ethical Hacking: https://imp.i384100.net/4amGyM
Network Security: https://imp.i384100.net/yZbqjv
Google Cybersecurity Certificate: https://imp.i384100.net/Or5L6G
They make the learning process much easier to follow step by step.
What’s one cybersecurity habit you think everyone should follow daily? | 11 606 |
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Google is hiring for 2026 Summer Interns | 3 672 |
| 8 | Google Summer Internship 2026 🔥
https://www.instagram.com/reel/DYXMuIxS_Jv/?igsh=MXFmMjdlamNjYmV1Zw== | 61 |
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https://www.instagram.com/reel/DYXMuIxS_Jv/?igsh=MXFmMjdlamNjYmV1Zw== | 91 |
| 10 | Machine Learning looks exciting when you see the final results.
AI tools.
Smart automations.
Models doing things that felt impossible a few years ago.
But when I actually started learning ML seriously, I realized how easy it is to feel completely lost.
One tutorial explains algorithms.
Another jumps into Python libraries.
Then suddenly you’re watching a long neural network video without properly understanding the basics behind it.
That’s where a lot of people get stuck.
I’ve been spending more time learning Machine Learning recently, and one thing that genuinely helped me was following a more structured learning path instead of constantly switching between random resources.
While exploring coursera courses, I liked how the courses are organized from foundational concepts to more advanced ML topics.
You can gradually move through:
• Python for ML: https://imp.i384100.net/eKJOOZ
• Data preprocessing: https://imp.i384100.net/Jk26Mq
• Regression + classification: https://imp.i384100.net/g1KJEA
• Supervised and unsupervised learning: https://imp.i384100.net/0GP6vR
• Neural networks: https://imp.i384100.net/DKrLn2
• Deep Learning projects: https://imp.i384100.net/jroLxe
What personally helped me most was learning concepts in sequence instead of trying to figure everything out alone from scattered tutorials.
And honestly, with AI evolving this fast, understanding the fundamentals feels more important than ever.
I’ve also noticed that many people rush into using AI tools before understanding how Machine Learning actually works underneath.
For anyone learning ML right now:
What concept took you the longest to finally understand? | 15 143 |
| 11 |  No text... | 2 963 |
| 12 | https://www.instagram.com/reel/DYR6ZLayelw/?igsh=d3hnazhuM3VuNHR0
HIRING REALITY 2026!😮
Do checks this out before your next Job switch. 😋 | 3 237 |
| 13 | https://www.instagram.com/p/DYKY1vEkm39/?igsh=MWZncmNnN3AwbXJhcQ==
Hello Everyone!
Just getting started on my new journey as an Instagram content creator.
Sharing what I learn, build & experience around tech, AI, career & life 💻🤖☕
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