Forwarded from π_π_(ππ)
Recipe 1: Start with what you and your co-founders have expertise in, and think of ideas that leverage that experience.
An added bonus for the ideas is a Founder/Market Fit.
Recipe 2: Start with a problem you personally faced, ideally one you encountered in an unusual situation.
Example: the VetCove founderβs father used to order supplies for his veterinary clinic by phone; this founder noticed it and created an βAmazon for veterinarians.β
Such insights arenβt available to most startup founders, because they donβt encounter them.
Recipe 3: Think about what you would want. Want delivery from a restaurant that doesnβt deliver? Do it yourself.
Recipe 4: Look for things in the world that have recently changed and thus created new opportunities. Pandemics, wars, and so on.
Recipe 5: Look at successful companies and find new ways to implement them. If something works, for example in one market, it might work in another.
Recipe 6: Talk to people and ask about their problems. The best approach here: choose a promising area, and then talk to its βparticipants.β That is, not only with potential customers but also with founders of companies in the industry.
Recipe 7: Look for large industries that seem unworkable. Because theyβre likely to be ready for change.
Additional recipe: find a co-founder who already has an idea.
@Skynet_Dreams
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β‘ 25 Tools to Supercharge Your Coding Workflow π»π
β Visual Studio Code
β Sublime Text
β Postman
β Insomnia
β Figma
β Notion
β Obsidian
β Slack
β Discord
β GitKraken
β Tower
β Raycast
β Warp Terminal
β iTerm2
β Hyper
β Docker
β Kubernetes
β Vercel
β Netlify
β Heroku
β Supabase
β PlanetScale
β Railway
β UptimeRobot
π₯ React ββ€οΈβ if you use any of these!
β Visual Studio Code
β Sublime Text
β Postman
β Insomnia
β Figma
β Notion
β Obsidian
β Slack
β Discord
β GitKraken
β Tower
β Raycast
β Warp Terminal
β iTerm2
β Hyper
β Docker
β Kubernetes
β Vercel
β Netlify
β Heroku
β Supabase
β PlanetScale
β Railway
β UptimeRobot
π₯ React ββ€οΈβ if you use any of these!
π‘β‘ Hack the Vault is here!
24 hours. Infinite Startup ideas. One stage to innovate, disrupt, and create the future. π
Event Highlights β¨
π Exciting prizes
π― Real-world problem statements
π€ Mentorship & Networking With Shark Tank Founders
π° Funding Opportunities
π Opportunity to meet Industry Expert
ποΈ Chance to meet Social Media Creators
π Participate in Idea Pitching sessions
π Dates: 27thβ28th October 2025
π Venue: CGC University, Mohali
π Registrations open NOW on Unstop! Donβt miss your chance to be part of North Indiaβs biggest youth startup confluence.
Link to Register : https://unstop.com/o/4adCW0p?lb=ca2Wta7g&utm_medium=Share&utm_source=atipri23570&utm_campaign=Innovation_challenge
24 hours. Infinite Startup ideas. One stage to innovate, disrupt, and create the future. π
Event Highlights β¨
π Exciting prizes
π― Real-world problem statements
π€ Mentorship & Networking With Shark Tank Founders
π° Funding Opportunities
π Opportunity to meet Industry Expert
ποΈ Chance to meet Social Media Creators
π Participate in Idea Pitching sessions
π Dates: 27thβ28th October 2025
π Venue: CGC University, Mohali
π Registrations open NOW on Unstop! Donβt miss your chance to be part of North Indiaβs biggest youth startup confluence.
Link to Register : https://unstop.com/o/4adCW0p?lb=ca2Wta7g&utm_medium=Share&utm_source=atipri23570&utm_campaign=Innovation_challenge
Unstop
Hack The Vault - 2025 | 1557476 // Unstop
Find out the best Hack The Vault that match your interests. Prove your mettle and win exciting prizes like job opportunities and cash rewards from leading co... | 2025 | 1557476
π Complete C++ Syllabus Roadmap (Beginner to Expert) βοΈ
π° Beginner Level:
1. Intro to C++: Setup, IDEs, First Program (Hello World)
2. Variables & Data Types: int, float, char, bool, double, type casting
3. Operators: Arithmetic, Relational, Logical, Bitwise, Assignment
4. Control Flow: if-else, switch-case, for, while, do-while loops
5. Functions: Function Declaration, Definition, Call, Arguments, Return Values
6. Arrays: Single & Multi-Dimensional Arrays
7. Basic I/O: cin, cout
8. Basic Projects: Calculator, Simple Number Games
βοΈ Intermediate Level:
1. Pointers: Introduction, Pointer Arithmetic, Dynamic Memory Allocation
2. Strings: C-style strings, std::string
3. Structures & Unions: User-Defined Data Types
4. Object-Oriented Programming (OOP):
β’ Classes & Objects
β’ Inheritance
β’ Polymorphism (Function Overloading, Operator Overloading, Virtual Functions)
β’ Abstraction, Encapsulation
5. File Handling: Reading from & Writing to Files
6. Exception Handling: try, catch, throw
π Expert Level:
1. Data Structures:
β’ Linked Lists (Singly, Doubly, Circular)
β’ Stacks & Queues
β’ Trees (Binary Trees, BSTs, AVL Trees)
β’ Graphs (Representation, Traversal Algorithms)
β’ Hash Tables
2. Algorithms: Sorting & Searching Algorithms, Dynamic Programming
3. Templates: Generic Programming
4. Standard Template Library (STL): Containers, Iterators, Algorithms
5. Multi-threading & Concurrency:
6. Memory Management: Smart Pointers, RAII
7. Design Patterns: Singleton, Factory, Observer, etc.
8. Networking: Sockets, Client-Server communication
9. Advanced Projects: Game Development, System Programming
π‘ Bonus: Learn CMake, Debugging Techniques, and C++20 Features
π Tap β€οΈ for more
π° Beginner Level:
1. Intro to C++: Setup, IDEs, First Program (Hello World)
2. Variables & Data Types: int, float, char, bool, double, type casting
3. Operators: Arithmetic, Relational, Logical, Bitwise, Assignment
4. Control Flow: if-else, switch-case, for, while, do-while loops
5. Functions: Function Declaration, Definition, Call, Arguments, Return Values
6. Arrays: Single & Multi-Dimensional Arrays
7. Basic I/O: cin, cout
8. Basic Projects: Calculator, Simple Number Games
βοΈ Intermediate Level:
1. Pointers: Introduction, Pointer Arithmetic, Dynamic Memory Allocation
2. Strings: C-style strings, std::string
3. Structures & Unions: User-Defined Data Types
4. Object-Oriented Programming (OOP):
β’ Classes & Objects
β’ Inheritance
β’ Polymorphism (Function Overloading, Operator Overloading, Virtual Functions)
β’ Abstraction, Encapsulation
5. File Handling: Reading from & Writing to Files
6. Exception Handling: try, catch, throw
π Expert Level:
1. Data Structures:
β’ Linked Lists (Singly, Doubly, Circular)
β’ Stacks & Queues
β’ Trees (Binary Trees, BSTs, AVL Trees)
β’ Graphs (Representation, Traversal Algorithms)
β’ Hash Tables
2. Algorithms: Sorting & Searching Algorithms, Dynamic Programming
3. Templates: Generic Programming
4. Standard Template Library (STL): Containers, Iterators, Algorithms
5. Multi-threading & Concurrency:
6. Memory Management: Smart Pointers, RAII
7. Design Patterns: Singleton, Factory, Observer, etc.
8. Networking: Sockets, Client-Server communication
9. Advanced Projects: Game Development, System Programming
π‘ Bonus: Learn CMake, Debugging Techniques, and C++20 Features
π Tap β€οΈ for more
Forwarded from Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
π― The Only SQL You Actually Need For Your First Data Analytics Job
π« Avoid the Learning Trap:
Watching 100+ tutorials but no hands-on practice.
β Reality:
75% of real SQL work boils down to these essentials:
1οΈβ£ SELECT, FROM, WHERE
β¦ Pick columns, tables, and filter rows
2οΈβ£ JOINs
β¦ Combine related tables (INNER JOIN, LEFT JOIN)
3οΈβ£ GROUP BY
β¦ Aggregate data by groups
4οΈβ£ ORDER BY
β¦ Sort results ascending or descending
5οΈβ£ Aggregation Functions
β¦ COUNT(), SUM(), AVG(), MIN(), MAX()
6οΈβ£ ROW_NUMBER()
β¦ Rank rows within partitions
π‘ Final Tip:
Master these basics well, practice hands-on, and build up confidence!
Double Tap β₯οΈ For More
π« Avoid the Learning Trap:
Watching 100+ tutorials but no hands-on practice.
β Reality:
75% of real SQL work boils down to these essentials:
1οΈβ£ SELECT, FROM, WHERE
β¦ Pick columns, tables, and filter rows
SELECT name, age FROM customers WHERE age > 30;
2οΈβ£ JOINs
β¦ Combine related tables (INNER JOIN, LEFT JOIN)
SELECT o.id, c.name FROM orders o JOIN customers c ON o.customer_id = c.id;
3οΈβ£ GROUP BY
β¦ Aggregate data by groups
SELECT country, COUNT(*) FROM users GROUP BY country;
4οΈβ£ ORDER BY
β¦ Sort results ascending or descending
SELECT name, score FROM students ORDER BY score DESC;
5οΈβ£ Aggregation Functions
β¦ COUNT(), SUM(), AVG(), MIN(), MAX()
SELECT AVG(salary) FROM employees;
6οΈβ£ ROW_NUMBER()
β¦ Rank rows within partitions
SELECT name,
ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS rank
FROM employees;
π‘ Final Tip:
Master these basics well, practice hands-on, and build up confidence!
Double Tap β₯οΈ For More
Forwarded from Acharya Prashant
β¨ FREE Gita Session with Acharya Prashant β Final Opportunity in Hyderabad β¨
Dear Friend,
This is the last chance to attend an in-person session with Acharya Ji in Hyderabad.
On 2 October, 2:30 PM, Acharya Prashant will conduct a special FREE Gita session. Family and friends are welcome too!
Venue: B M Birla Science Museum, Hyderabad
GPS: https://maps.app.goo.gl/Auzc9oom7GpNKhLF7
Participation is entirely FREE. Seats are limited β please fill this form to confirm: https://forms.gle/W4q6nBqeecGtGkw5A
Contact for assistance:
Rohit Razdan β 9717787616
Anupam Chatterjee β 9316546673
Welcoming youπ
PrashantAdvait Foundation
Dear Friend,
This is the last chance to attend an in-person session with Acharya Ji in Hyderabad.
On 2 October, 2:30 PM, Acharya Prashant will conduct a special FREE Gita session. Family and friends are welcome too!
Venue: B M Birla Science Museum, Hyderabad
GPS: https://maps.app.goo.gl/Auzc9oom7GpNKhLF7
Participation is entirely FREE. Seats are limited β please fill this form to confirm: https://forms.gle/W4q6nBqeecGtGkw5A
Contact for assistance:
Rohit Razdan β 9717787616
Anupam Chatterjee β 9316546673
Welcoming youπ
PrashantAdvait Foundation
*π SQL Interview Questions with Answers β Made Easy!*
*1. How to rename a table in SQL?*
Use this command:
ALTER TABLE old_table_name RENAME TO new_table_name;
β Simple: use ALTER, mention the current name, then RENAME TO and the new name. β
*2. How to use LIKE in SQL?*
Use LIKE to match patterns:
SELECT * FROM employees WHERE first_name LIKE 'Steven';
β It fetches all rows where first_name is exactly βStevenβ.
*3. Does dropping a table delete related objects too?*
Yes β : Constraints, indexes, columns, and defaults *inside* the table are deleted.
No β: Views and stored procedures stay β they exist *outside* the table.
*4. What are SQL Constraints?*
They define rules on table data. Common constraints include:
NOT NULL, CHECK, DEFAULT, UNIQUE, PRIMARY KEY, FOREIGN KEY
---
*React β€οΈ if you're preparing for placements or interviews!*
π Access curated *SQL + DSA + Resume tips* here: https://topmate.io/sumit_kumar80/1151675
*1. How to rename a table in SQL?*
Use this command:
ALTER TABLE old_table_name RENAME TO new_table_name;
β Simple: use ALTER, mention the current name, then RENAME TO and the new name. β
*2. How to use LIKE in SQL?*
Use LIKE to match patterns:
SELECT * FROM employees WHERE first_name LIKE 'Steven';
β It fetches all rows where first_name is exactly βStevenβ.
*3. Does dropping a table delete related objects too?*
Yes β : Constraints, indexes, columns, and defaults *inside* the table are deleted.
No β: Views and stored procedures stay β they exist *outside* the table.
*4. What are SQL Constraints?*
They define rules on table data. Common constraints include:
NOT NULL, CHECK, DEFAULT, UNIQUE, PRIMARY KEY, FOREIGN KEY
---
*React β€οΈ if you're preparing for placements or interviews!*
π Access curated *SQL + DSA + Resume tips* here: https://topmate.io/sumit_kumar80/1151675
topmate.io
Data science Job + Placement with Sumit Kumar
For College and Working Professional
Accenture has changed their pattern ? if yes pls DM me with latest pattern
100 % Remote hiring companies List fOR fREE https://topmate.io/sumit_kumar80
π AI Tools Every Coder Should Know in 2025
The future of coding isnβt just about writing codeβitβs about augmenting human creativity with AI.
Here are some of the Ai tools you should explore π
π‘ GitHub Copilot β Real-time AI pair programmer.
π‘ Cursor β AI-powered fork of VS Code.
π‘ Tabnine β Secure, private AI code completions.
π‘ Amazon Q Developer β Deep AWS ecosystem integration.
π‘ Claude & ChatGPT β Conversational AI coding partners.
π‘ Replit Ghostwriter β AI inside the Replit IDE.
π‘ Google Gemini CLI β AI help directly in your terminal.
π‘ JetBrains AI Assistant β Context-aware refactoring and suggestions.
π‘ Windsurf (formerly Codeium) β AI-native IDE for flow.
π‘ Devin by Cognition AI β Fully autonomous AI software engineer.
π‘ Codespell β AI across the entire SDLC.
AI is no longer a βgood-to-haveβ for codersβitβs becoming the new standard toolkit. Those who adopt early will move faster, ship smarter, and stay ahead.
The future of coding isnβt just about writing codeβitβs about augmenting human creativity with AI.
Here are some of the Ai tools you should explore π
π‘ GitHub Copilot β Real-time AI pair programmer.
π‘ Cursor β AI-powered fork of VS Code.
π‘ Tabnine β Secure, private AI code completions.
π‘ Amazon Q Developer β Deep AWS ecosystem integration.
π‘ Claude & ChatGPT β Conversational AI coding partners.
π‘ Replit Ghostwriter β AI inside the Replit IDE.
π‘ Google Gemini CLI β AI help directly in your terminal.
π‘ JetBrains AI Assistant β Context-aware refactoring and suggestions.
π‘ Windsurf (formerly Codeium) β AI-native IDE for flow.
π‘ Devin by Cognition AI β Fully autonomous AI software engineer.
π‘ Codespell β AI across the entire SDLC.
AI is no longer a βgood-to-haveβ for codersβitβs becoming the new standard toolkit. Those who adopt early will move faster, ship smarter, and stay ahead.
Forwarded from π_π_(ππ)
π Top 50 AI services that startups are currently spending the most money on.
Which ones do you use?
@Skynet_Dreams
Which ones do you use?
@Skynet_Dreams
Forwarded from π» Computer Books Chat π» (Admin)
Model-Based Machine Learning.pdf
45 MB
Model-Based Machine Learning
John Michael Winn, 2024
John Michael Winn, 2024
Coursera interview experience
Role - ML engineer
It started with his introduction and then mine. Next he gave me one hackerrank link to solve live a medium to hard level leetcode question based on arrays. After completing that, he asked me few ML based questions like type of learning and their explanations and a few examples. Also asked me to classify 2 examples about what ML model might be suitable for that case. Also he asked me a few SQL queries. Then he asked me to choose a project which i did and asked me to explain it and cross questioned about that. At last he gave me a chance to ask a few questions.
πFor Placement Resources:
https://topmate.io/sumit_kumar80/1261910?utm_source=public_profile&utm_campaign=sumit_kumar80
Role - ML engineer
It started with his introduction and then mine. Next he gave me one hackerrank link to solve live a medium to hard level leetcode question based on arrays. After completing that, he asked me few ML based questions like type of learning and their explanations and a few examples. Also asked me to classify 2 examples about what ML model might be suitable for that case. Also he asked me a few SQL queries. Then he asked me to choose a project which i did and asked me to explain it and cross questioned about that. At last he gave me a chance to ask a few questions.
πFor Placement Resources:
https://topmate.io/sumit_kumar80/1261910?utm_source=public_profile&utm_campaign=sumit_kumar80
Rtcamp interview experience
Role - Associate Python Engineer
It started with a general room with around 50 candidates. After a short introduction we were moved to a personal breakout room.
Then the interviewer asked about the introduction and a few questions based on dbms, hashing, open source, web development
Questions included -
- what is indexing
- how will you store a password, indexing or hashing, why?
- python vs javascript
- frameworks vs libraries
- git vs github
- session vs cookie
- can you hash an image
- can hashing be reversed
- how is the hashed image stored and retrieved
- sql commands and complexity
πPlacement Resources:
https://topmate.io/sumit_kumar80
Role - Associate Python Engineer
It started with a general room with around 50 candidates. After a short introduction we were moved to a personal breakout room.
Then the interviewer asked about the introduction and a few questions based on dbms, hashing, open source, web development
Questions included -
- what is indexing
- how will you store a password, indexing or hashing, why?
- python vs javascript
- frameworks vs libraries
- git vs github
- session vs cookie
- can you hash an image
- can hashing be reversed
- how is the hashed image stored and retrieved
- sql commands and complexity
πPlacement Resources:
https://topmate.io/sumit_kumar80
πPharmEasy is hiring for Software Engineer Intern (Frontend)
Experience: 0 - 2 year's
Expected Stipend: 4-6 LPA
Apply here: https://www.linkedin.com/jobs/view/4309726517/
Experience: 0 - 2 year's
Expected Stipend: 4-6 LPA
Apply here: https://www.linkedin.com/jobs/view/4309726517/
Linkedin
PharmEasy hiring Software Engineer Intern (Frontend) in Mumbai, Maharashtra, India | LinkedIn
Posted 11:09:06 AM. PharmEasywww.pharmeasy.in
PharmEasy is a consumer healthcare βsuper app.β Started with the soleβ¦See this and similar jobs on LinkedIn.
PharmEasy is a consumer healthcare βsuper app.β Started with the soleβ¦See this and similar jobs on LinkedIn.
πLam Research is hiring for Engineering Intern
Experience: 0 - 2 year's
Apply here: https://careers.lamresearch.com/careers/job/1099542488778?hl=en_US&domain=lamresearch.com&src=Eightfold
Experience: 0 - 2 year's
Apply here: https://careers.lamresearch.com/careers/job/1099542488778?hl=en_US&domain=lamresearch.com&src=Eightfold
Lamresearch
Careers at Lam Research
Careers site