About DSA Solutions
A daily-updated reference for LeetCode C# solutions and GeeksforGeeks Java solutions, built specifically for developers in the .NET ecosystem preparing for technical interviews.
Why this site exists
When I started preparing for interviews, I noticed that virtually every LeetCode solution repository on GitHub focuses on C++, Python, or Java. C# — the primary language for millions of .NET developers — was an afterthought. Solutions written in C# were either scarce, inconsistently formatted, or missing altogether for newer problems.
DSA Solutions was built to fill that gap. Every solution is written in idiomatic C# using modern .NET APIs — PriorityQueue, SortedSet, Dictionary, pattern matching — the same way a .NET developer would write production code.
How solutions are written
Each solution follows a consistent structure designed to make it useful as a study reference, not just a code answer:
- Explanation first. 237+ LeetCode and 130+ GFG problems include full step-by-step explanations (intuition, algorithm, examples, pitfalls). Other solution pages include approach notes and complexity where available.
- Complexity stated explicitly. Time and Space complexity are shown as badges on every solution page.
- Idiomatic C# code. Solutions use the most readable C# idiom available — not a Java translation. The goal is code that a .NET engineer would write and be comfortable reviewing.
- Daily updates. New solutions for LeetCode and GeeksforGeeks POTD are added every day.
What you will find here
- 237+ LeetCode problems with full step-by-step explanations (intuition, algorithm steps, examples)
- Approach notes and complexity on every indexed solution page
- Topic pages for 60+ DSA patterns (Array, DP, Trees, Graphs, and more)
- Difficulty filtering and instant search to find any problem in seconds
- Syntax-highlighted code with one-click copy on every page
- System design interview articles — 50 in-depth guides: frameworks, case studies, and fundamentals including payments, Uber, Airbnb, Zoom, Yelp, Spotify, Google Maps, Gmail, CDN, Twitch, distributed logging, ad click aggregator, Google Calendar, recommendations, stock trading, DoorDash, Stack Overflow, metrics monitoring, distributed locks, online judge, key-value store, job scheduler, web crawler, Netflix, search engine, ticketing, Redis, e-commerce, Pastebin, leaderboard, API gateway, Google Docs, Instagram, CAP theorem, sharding, notifications, and Kafka
- A full study guide covering the 30-day plan, C# tips, and interview strategy
Why Java for GFG?
GeeksforGeeks Problem of the Day is one of the most popular daily coding challenges in India, with a strong community of students and early-career developers. Solutions here are in Java — the most widely expected language for GFG submissions — and include the same explanation + complexity format as the LeetCode C# solutions.
Publisher information
DSA Solutions is an independent technical publisher focused on interview preparation for software developers. The site is maintained by a solo creator and updated daily with original explanations — not scraped or auto-generated content.
- Audience
- .NET / C# developers, Java interview prep, global (India-heavy traffic)
- Content
- 921+ LeetCode C# solutions, 633+ GFG Java solutions, 50 system design articles
- Explained pages
- 237+ LC and 130+ GFG with full step-by-step write-ups
- Topics
- Arrays, binary search, DP, graphs, trees, heaps, system design, and 60+ DSA patterns
- Analytics
- Google Analytics 4 via Google Tag Manager
- Ad policy
- One sidebar slot on solution pages; no pop-ups, interstitials, or ad clutter
Advertising partners: we reserve a single above-the-fold sidebar placement on explained solution pages. Total indexed solutions: 1554+. For partnership inquiries, use the contact form.
About the author
Sivalingam Ramasamy is a software developer based in Chennai, India, with experience in .NET, C#, and full-stack development. He began solving LeetCode problems daily to sharpen his algorithmic thinking and started this site to share clean solutions with the broader .NET community.
The project is open-source under the MIT License and available on GitHub. Contributions, corrections, and alternative solutions are welcome via pull request.