🧿 Mastering Time Management :
1. Plan your day.
2. Write everything you want to achieve in a day.
3. Write your goals on a physical paper.
4. Follow the 80/20 Rule. 20% of your work will bring you 80% of your results.
5. Stop Multitasking. Sw
See More
Anonymous 1
Hey I am on Medial • 5m
I think the book you’re referring to is “Eat That Frog” by Brian Tracy. It’s all about tackling your most important tasks (your “frogs”) first. Good book, I highly recommend. Now give me my cookie 😅
0 replies
More like this
Recommendations from Medial
Naman Anand
Hey I am on Medial • 1m
Don’t join a startup if you…
1. Think of work as a checklist of tasks.
Startups aren’t about completing tasks—they’re about solving problems until you succeed. It takes grit, not just to-do lists.
2. Crave free time.
Startups are not 9 to 5. They'r
See More
0 replies4 likes
NIKHIL
Student • 11m
Just finished reading Simon Sinek's "Start with Why" and I'm blown away! 📚 This book is a game-changer for anyone embarking on a new venture, whether it's a startup, business, or personal project. Understanding the "why" behind what you do is the ke
half way through the book.
It helped me to understand how important Customer lifetime value (CLTV) is and how important it is to make your customers keep hooked to your product.
(even helped me realise how, Many companies are already using these te
Just finished reading 'How to Win Friends and Influence People' by Dale Carnegie 📚👥! This classic self-help book is a game-changer for anyone looking to improve their relationships and communication skills 🤝.
My top takeaways:
✨ Don't criticize,
Best Story Wins!
One of the best chapter by Morgan Housel, in his book
Same as Ever is - "Best Story Wins."
This is a super important fundamental lesson for business on communications, as most business do not focus on getting their message message
See More
1 replies2 likes
Bhoop singh Gurjar
AI Deep Explorer | f... • 1m
Having worked on Reinforcement Learning, it’s always fascinating to see how it’s being applied in the world of LLMs.
If you’re curious about how RL powers modern LLM agents, especially in areas like reward modeling, and policy gradients here are a f
