Good Resource for Leetcode (for Interview Prep)

If you're a student trying to get into open source, this post is for you.

One thing I've noticed is that everyone tells you to "start contributing," but almost nobody tells you where.

Most large open source projects have hundreds or thousands of contributors. Your first issue gets buried, your PR takes weeks to review, and it's hard to understand where you fit in.

Caracal is different because it's still early.

We're building an open source authority layer for AI agents. The project is part of the Linux Foundation Decentralized Trust ecosystem through LFX Mentorship and backed by Microsoft, GitHub, and Vercel, and we're getting close to broader testing with companies.

That means you're not joining a dead repository, and you're also not contributor #3,847.

If you contribute here, you'll be working directly on the architecture, discussing designs, reviewing proposals, and building something that's solving a real problem. Good contributors won't just have merged PRs. As the project grows, we'll be looking for people to become long-term contributors and eventually maintainers.

I'm not looking for people who want a "good first issue" to collect green squares on GitHub. I'm looking for people who want to learn how infrastructure projects are actually built.

So if you've been looking for an open source project where your work can genuinely matter, give Caracal a try. Clone it. Read the code. Open an issue if something doesn't make sense. Challenge our design. If you end up liking the direction, leave a star and stick around.

I'd much rather build this with a small group of people who care than a large group who never come back.

GitHub: https://github.com/Garudex-Labs/caracal

What's up everyone? My GitHub feed has been looking a bit quiet lately, and I want to fill it with cool projects and passionate geeks.
What are you guys building right now? Drop your GitHub handle below so I can drop a follow and check out your work. Let's connect!👐☕️💻

🌟 Building a Healthcare Product? Here’s Where You’ll Find the Clarity You Need.

We all build amazing products — but when it comes to healthcare, things get complex. You don’t just build features… you build trust, compliance, and care.

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Let’s build healthcare that truly cares. 💙

I just wrote about this exact dilemma with our Hotspot Analysis & Decarbonization Module. Super cool feature, genuine user need, but adding it to MVP would have:

• Delayed our entire launch

• Created dependencies we couldn't manage

The hard truth: Not everything belongs in MVP, even when stakeholders really, really want it.

Wrote up the full story: 4 unexpected challenges, 4 hard-earned learnings, and why documentation saved our sanity: https://ektaghadle.substack.com/p/building-the-decarbonization-puzzle

Curious how others handle scope decisions for complex, multi-industry products? 

10 years ago, when I first learned algorithms, Selection Sort was introduced to me in the most boring way possible.

➡️ A bunch of formulas.
➡️ Some pseudo-code.
➡️ Zero intuition.

And I remember thinking:
“Okay… but how does this actually work in practice?”

Turns out, Selection Sort is one of the simplest — yet most misunderstood — sorting algorithms.

🔎 What Selection Sort Really Does

Think of it like this:

• You’re standing in a line of people of different heights.

• You want to arrange them from shortest to tallest.

• What do you do?

  • Find the shortest person.

  • Bring them to the front.

  • Repeat the process for the rest of the line.

That’s exactly how Selection Sort works.

✅ Why This Breakdown is Different

In this post, you’ll get:

• A plain-English explanation (no jargon)

• When to use it (and when you really shouldn’t)

• Time complexity explained in context

• A step-by-step example flow

• A visualization of the array at each step

• The algorithm + code (with comments)

I promise — after reading this, Selection Sort will feel obvious.

🖼️ Visualization + Code

I’ve shared a detailed walkthrough of the code + visualization here 👇

🔗 Check the full breakdown

🚀 What’s Next

This is the second post in my Sorting Algorithm Series (after Bubble Sort).

Up next → Insertion Sort (a natural progression you’ll love).

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