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
Mostrar más📈 Análisis del canal de Telegram AI & Coding Resources 👨💻📑🚀
El canal AI & Coding Resources 👨💻📑🚀 (@codetreasure) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 36 663 suscriptores, ocupando la posición 3 562 en la categoría Tecnologías y Aplicaciones y el puesto 10 627 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 36 663 suscriptores.
Según los últimos datos del 03 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -518, y en las últimas 24 horas de -21, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 36.40%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 13 352 visualizaciones. En el primer día suele acumular 0 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 27.
- Intereses temáticos: El contenido se centra en temas clave como humva, hunt, techinnovation, integration, insight.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“👉 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...”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 04 octubre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
36 663
Suscriptores
-2124 horas
-1107 días
-51830 días
Carga de datos en curso...
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Publicaciones del Canal
What if the last living flower on Earth was found in a city that had forgotten sunlight?
That thought became the starting point for my latest short film.
I built the entire project inside Creatly Canvas, taking it from idea to final video.
Creatly is an AI Director OS for AI-native filmmaking, bringing the creative + production workflow into one workspace.
I developed the story, characters, script, and storyboard, then designed the scenes and generated the images, videos, and audio. I also kept the references and assets organized and reviewed the final piece in the same workspace.
No constant switching between different tools and files.
The full workflow is public on Creatly, so you can explore how the idea became a script, storyboard, visual world, and final film.
Everyone can be a director.
Direct your story with Creatly.
This piece was created with Creatly AI, from concept and script to storyboard, image + video generation, and final review.
Try it here: https://app.creatly.ai/?inviteCode=WXTFB4
| 2 |  Every time an AI video goes viral, someone asks the same thing: what was the prompt? Usually nobody knows.
So I built a tool that finds out: mosi-reverse-prompt.vercel.app
It runs on MOSS-VL, MOSI.AI's open-weight 11B model (open source on GitHub: https://github.com/OpenMOSS/MOSS-VL). Upload a reference clip, it watches it frame by frame and reverse-engineers a generation prompt from what's actually in the video, not a guess.
Refine it for a style, then generate something new from it.
MOSS-VL is built for continuous video streams. Quantized versions deploy locally on a single RTX 4090, and it can be fine-tuned through LlamaFactory if you need it to understand something specific, like your own product's UI. I used the hosted API here, analyzing an uploaded clip instead of a live stream.
Two ways to use it yourself: deploy it locally for real-time stream processing, or grab a free API key and use the hosted API on your own clips.
API: https://shorturl.at/Nm2jQ | 15 385 |
| 3 | Want to try the Insta360 X6?
Now you can explore it and see what it can do for yourself.
Try it for free and experience the next level of 360° capture.
👉 https://store.insta360.com/product/x6?utm_term=&utm_source=PR&utm_medium=X.com&utm_campaign=&utm_content=dateTechByMarkandey
Give it a try and see the difference! | 1 640 |
| 4 |  I use AI almost every day for my work.
But recently, I realized something: using AI every day doesn’t necessarily mean you’re using it well.
I wanted to get better at researching, brainstorming, organizing information, improving my writing, and using AI more effectively for my daily tasks.
That’s what caught my attention about the Google AI Professional Certificate on Coursera.
It focuses on practical AI skills, including how to:
→ Work with AI tools like Gemini, NotebookLM, and AI Studio
→ Research, brainstorm, and organize information
→ Improve writing, communication, and productivity
→ Build AI-powered solutions
→ Apply AI to real workplace tasks
→ Complete hands-on projects and a capstone
And for a limited time, enrolling in the certificate also includes 3 months of Google AI Pro at no extra cost.
If you’re looking to build practical AI skills that you can actually use in your work, this is worth checking out.
🔗 Enroll here: https://imp.i384100.net/c/4788814/3979813/14726?sharedid=gwgmanishai | 15 351 |
| 5 | https://www.instagram.com/reel/Db0rZ65yH_C/?igsh=MWs3MjczczE0YTRhdQ== | 3 226 |
| 6 | Over the past year, I've realized that AI has become an important skill, no matter what field you work in.
Since I create AI content every day, I'm always looking for better ways to use AI in my work, not just write better prompts.
That's why I decided to explore the Google AI Professional Certificate.
Check out here: https://imp.i384100.net/c/4788814/3979813/14726?sharedid=gwgmanishai
What I like about the program is that it's focused on practical learning. You get to use tools like Gemini, NotebookLM, and AI Studio to:
• Organize research and study materials
• Brainstorm ideas
• Save time on everyday tasks
• Build AI powered projects
The program also includes hands on exercises and a capstone project, so you can apply what you learn, build a portfolio, and earn an industry recognized Professional Certificate from Google.
For a limited time, when you enroll in the Google AI Professional Certificate, you'll also get 3 months of Google AI Pro at no extra cost.
Enroll now: https://imp.i384100.net/c/4788814/3979813/14726?sharedid=gwgmanishai
It can help you:
• Understand complex topics more easily
• Organize your study materials
• Generate ideas for projects
• Build projects more efficiently
• Prepare your resume and practice interview questions
Whether you're a student, creator, developer, or working professional, it's a practical way to build job ready AI skills that you can use in your everyday work.
If you've been thinking about learning AI in a more practical way, this is worth checking out.
🔗 Enroll here: https://imp.i384100.net/c/4788814/3979813/14726?sharedid=gwgmanishai | 5 560 |
| 7 |  Sin texto... | 6 282 |
| 8 | Resume Template which got me Interview calls from Google Adobe, Airtel and many other top PBC 🚀🚀
https://www.instagram.com/reel/DbiakgpyIep/?igsh=MWphcm1jcWU5YjV0cw== | 661 |
| 9 | 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 | 3 014 |
| 10 |  Sin texto... | 2 695 |
| 11 | https://www.instagram.com/p/DZco4LgEt_E/?igsh=MTN4dWhvNTlmM2o5NQ== | 3 486 |
| 12 | https://www.instagram.com/reel/DYzb5VMy0MT/?igsh=aG1lamNvNG1vOTlm
TCS Mass Hiring 2026 ! | 4 546 |
| 13 | 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 |
| 14 |  Sin texto... | 5 983 |
| 15 | https://www.instagram.com/reel/DYXMuIxS_Jv/?igsh=MXFmMjdlamNjYmV1Zw==
Google is hiring for 2026 Summer Interns | 3 672 |
| 16 | Google Summer Internship 2026 🔥
https://www.instagram.com/reel/DYXMuIxS_Jv/?igsh=MXFmMjdlamNjYmV1Zw== | 61 |
| 17 | Google Summer Internship 2026 🔥
https://www.instagram.com/reel/DYXMuIxS_Jv/?igsh=MXFmMjdlamNjYmV1Zw== | 91 |
| 18 | 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 |
| 19 |  Sin texto... | 2 963 |
| 20 | https://www.instagram.com/reel/DYR6ZLayelw/?igsh=d3hnazhuM3VuNHR0
HIRING REALITY 2026!😮
Do checks this out before your next Job switch. 😋 | 3 237 |
