Vishal naidu

Still kinda hot tbh

It extracts text and metadata, uses Al to revive content, clusters topics, offers semantic search, and visualizes knowledge with a graph (D3). Includes a browser extension for quick saving, highlighting, and access without opening the app. How do you manage your saved items?

Ever save something with 'I’ll come back to this later' and never do? Bookmarks pile up, tabs vanish, and content gets lost. I built MEMORA, a Second Brain Content Saver App, to save links and retrieve them when needed. @sheryians_ Features I implemented in this👇🏼

@nitesh_singh5 Interested

Role - JavaScript Internship Stipend - 25k per month Experience - 0–1 year of experience (freshers welcome) - JavaScript, HTML, and CSS - debugging and problem-solving skills Let us know if you are Interested 👇

@mannatgupta146 Thank you mannat. That song has a different vibe😂

@Vishaldev_ Interesting work Vishal. The demo explains it clearly. The song choice is really good too 😂😂 Keep posting.

Last 2 days is all about Implement Knowledge Graphs + built a browser extension. Knowledge Graph: - Data represented as nodes + relationships - Helps understand connections - Visualized using D3 force simulation (interactive, physics-based layout) Changed how I think about data

npm supply chain attacks are a real reminder: Developers shouldn’t blindly trust everything from the internet. What NOT to do - Don’t blindly run `npm install` - Don’t copy install commands from random blogs - Don’t commit API keys (.env leaks happen fast) What to do instead - Check package downloads, maintainer & last update - Install safely when needed: `npm install --ignore-scripts` - Run `npm audit` before deploying - Verify and Lock dependencies using `package-lock.json` Security isn’t advanced. It’s discipline.

Browser Extension: Built a simple extension and learned: - Content scripts (run on web pages) - Background scripts (handle logic) - How extensions interact with browser Also explored: Chrome local storage → store/get tokens, manage auth

@sheryians_ Thank you🙏🏼

@Vishaldev_ Great work!

Day 17/21 Today combined machine learning and frontend work. I studied DBSCAN to understand cluster formation and parameter effects. I explored useRouter, async handling, and dynamic routes. Also implemented protected routes, boosting security and user experience. @sheryians_

@ShelfCheck That's true.

@Vishaldev_ AI gets you unstuck fast but docs give you the mental model that stops you getting stuck in the same place twice

Day 15/21 Today I implemented Redis and explored why it's so fast. → In-memory storage (RAM) → Super fast read/write → Used for caching & auth @sheryians_ Also worked more with Supabase Storage 👇

Day 16/21 Today I worked on Topic Clustering using and implemented it with DBSCAN (density based cluster). Concept: Group similar data points (like text/topics) without labels by finding dense regions. Sounds simple… but gets tricky in real implementation 👇

Day 14/21 Today I focused on some important backend concepts: - Token blacklisting → invalidate JWTs after logout for better security - Throughput → how many requests a DB can handle per second - Redis → fast in-memory store used for caching & token checks @sheryians_

Day 13/21 I completed my full-stack project. Not perfect, but built from scratch and improved step by step. Key things I learned: - JWT Authentication - APIs + Middleware - React 4-layer architecture - Database relationships (edge collections) - Frontend - Backend integration

Day 12/21 of building in public Today I learned how developers actually work. Concept: Blackbox Programming → Focus on what a tool does → Use it effectively → Don’t get stuck on internals This mindset helps build faster @sheryians_ @ankurdotio @sarthacksharma

Day 10/21 Today I Integrated Supabase Storage for file upload and Revisited and implemeplemented JWT Authentication Also learned something interesting about security Why does bcrypt generate a different hash every time for the same password? Because of salting👇

Day 8/21 Short progress today because of exams preparation, but still pushed some updates. Implemented Followers, Following & Suggestion list based on conditions. Users can now see who they follow and who follows them. - Created SavePost model - Built Save Post API

Day 7 Today I just added a Like/Unlike feature and accept/ rejected follow request, inspired by Instagram. To deepen my understanding of backend development, I cloned Instagram (On the way), which involves some interesting database updates, API logic and authentication.