Got questions/feedback or literally anything else? Feel free to DM me!.

Posturai uses an on-device ML model that detects whether your posture is good or bad. It also reminds you touch grass (the green material that you can find pretty easily) by telling you to take breaks. Here's a demo vid:

Do you feel like your back has been turning into a Fibonacci circle? . It might be cause of the fact that you're a Homo Sapien that's sitting at a desk in ways you're not supposed to. Let Posturai fix that!. Check it out here: More info below ⬇️.

Discord in a GUI got kinda boring so I made a simple version in C++ in the terminal using raw sockets. Check it out here Lemme know if you have any tips on how I could improve it

Ever catch yourself scrolling?. I personally do. I usually starts as me just checking my notifications, but goes downhill from there. This is why I'm building Notify Hub. View all your notifications in one place!. Here's the waitlist,

Currently I just finished the API integrations for Gmail, GitHub, and Reddit. Me and my team will be launching the app soon. Until then, any opinions on the idea, or features you want?.

All I want to do is check my notifications on Reddit. So it open it. I check my notifications. Then I see the damnthatsinteresting subreddit. Then I end up scrolling and wasting time. It's why I'm building Notify Hub. Check all your social media notifications in one place!.

This stuff is awesome. RL definitely seems like a pretty cool thing to do in ML. I want to try making a model that learns to play something as complex as Catan. I think it'd be pretty sick. opinions?.

RT @_akhaliq: Google presents Diffusion Models Are Real-Time Game Engines. discuss: We present GameNGen, the first….

This is how Next JS started 8 years ago. 3 folders with less than 1000 lines of code!. I personally get daunted when I look at the size of the codebase of Next JS right now, but to see where it started just goes to show where your projects may end up. Keep grinding 🤙

Last article on Range Queries that covers Segment Trees!. Segment Trees are basically an alternative to Binary Indexed Trees with certain pros and cons. Feel free to give any feedback, I'd love to improve my content!. Bye ✌️

Finished the chapter on Bit Manipulation, and also got a new article out on range queries!. I've been publishing on Substack and Medium so you can read it from whichever one you prefer :).

Hey, I finished the first article on range queries which covers static queries where the array doesn't change . Here's the article, Feel free to ask any questions or give feedback, I'd love to improve on subsequent posts!

The article is going to be mainly about Binary Indexed Trees and Segment trees. Also, is there a specific platform you'd like me to post on?. Like Medium, Substack, or Beehiiv?.

All you gotta do is find the sum of a range in an array. It took so long to understand the data structures behind this. It's from chapter 9 on Range Queries in the Competitive Programmer's Handbook. I'm going to be writing an article on these data structures soon, so stay tuned.

Finished project 4 for AI flashcards!. Here's the website: GitHub repo: We had to remove the code for Stripe payments and Auth because we couldn't get Clerk to work with Vercel which was unfortunate :(

Pushed our app to production. And it turns out Clerk needs a custom domain and you can't use a .vercel.app domain 😭. Anyone have any ideas, or should I just use an entirely different auth library?.

Third time's the charm! ✨. Finished my third hackathon today and me and my team were finalists!. Always an awesome feeling to win your first hackathon after not winning other hackathons. You can check out our app here,

In one of my previous posts I wasn't able to get the RAG model working. This time I used the @supabase vector DB for the similarity search which was already hosted with their JavaScript SDK so it just worked out of the box!.

We created a complaints detection app for the Headstarter hackathon!. You can add complaints, and they will be automatically categorized. You can also query these entries using RAG!. Website: GitHub: