An AI peer programmer for DSA and competitive programming. Every answer is grounded in real problems and editorials, walks each approach with its complexity, and ends with a dry run you can play step by step.
Pick a problem
How AskDSA teaches Two Sum
one answer · every approach
Inside an answer
Every step of the pipeline streams as it happens. The answer follows a fixed teaching order, and the optimal approach comes with a flowchart and a dry run you can step through.
The answer, in order
Follow-up: "what is its space complexity?" → searched as "space complexity of Two Sum"
nums
seen
Under the hood
One question, from your browser through a six-layer RAG pipeline with a corrective gate and back as a visual, step-by-step explanation. Click any step to see what runs there.
Features
A general chatbot answers from memory. AskDSA retrieves the real problem first, checks that it found the right one, and only then explains.
2,913 LeetCode problems with 807 editorials, plus 3,404 problems from 10 judges. Facts in the answer cite the source they came from.
Retrieved problems are graded 0 to 3. Weak evidence triggers one corrective search, and the verdict decides how the answer is framed.
Ask follow-ups in the same chat. Older turns are summarised, recent ones kept word for word, and a vague follow-up is rewritten before searching.
Every approach, not just the optimal one, in C++, Java, Python and JavaScript, as tabs you can copy.
Classical DSA for interview problems, Competitive Programming for contest editorials: the key observation, the math, then the code.
A problem with no statement or editorial in the knowledge base is fetched from its judge, or found with a web search, and the answer says so.
Ask about a technique and get a template, its variants and a practice ladder. Ask for a hint and get two nudges, no code. Ask for problems and get a table.
Product tour
A walk through the chat: asking, following up, and reading an answer end to end.
The knowledge base
Two vector collections and an in-memory index built from the same data. One problem keeps one identity across both, so search never shows you the same problem twice.
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LeetCode problems
full statement, examples, hints
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editorials
split into one record per approach
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problems on 10 judges
platform, difficulty, rating, topics
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retrieval layers
plus a corrective gate
Classical DSA
Searches both collections: LeetCode with full statements and editorials, plus GeeksforGeeks, InterviewBit, takeUforward and more.
Competitive Programming
Searches the judge list, filtered by the platform and rating you name, with statements fetched from the judge when needed.
Learners so far
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A general model can explain Two Sum. It cannot tell you which of 6,300 problems you meant, prove it read the editorial, or admit when it did not find it.
| What you get | AskDSA | General AI chat | Editorial site |
|---|---|---|---|
| Finds the exact problem you meanby name, number, link or a description | |||
| Facts from the real statement and editorialcited, not recalled | |||
| Says when it is not surea verdict from the corrective gate | |||
| Brute force, better and optimal, each with codefour languages per approach | |||
| A dry run you can step througharrays, maps, stacks, DP tables, trees | |||
| Answers your follow-up questionswith the conversation remembered | |||
| Problems from many judges in one place10 judges, one search |
Pricing
Every plan gets the same answers, visuals and memory. Paid plans only refill your quota faster.
Starter · ₹294 incl. GST · 1 month access
10 questions every 3 hours, per mode · you will sign in first
Payments by Razorpay: UPI, cards, net banking. Quota is counted per mode; a window starts with your first question in it.
FAQ
Yes. Sign in and ask; each mode has a free quota of 3 questions every 5 hours, and the chat shows a countdown when you reach it. A question answered from the cache still counts, because it is a request like any other.
AskDSA first finds the problem you mean among about 6,300 real problems, grades whether it found the right one, and writes from the actual statement and editorial, citing them. When it cannot find the problem it says so, then answers from the web or from general knowledge, clearly labelled.
The problem and the pattern behind it, then brute force, a better approach when one exists, and the optimal one, each with its intuition, steps, code in C++, Java, Python and JavaScript, and complexity. The optimal approach adds a flowchart and a dry run you can play step by step, followed by pitfalls, edge cases, interview follow-ups and practice problems.
Yes. Each chat keeps its own context: older turns are summarised and recent ones kept word for word, and a follow-up like "what is its space complexity?" is rewritten into a full question before searching. Past chats are listed in the sidebar, and opening one continues it.
2,913 LeetCode problems with 807 editorials, plus 3,404 problems from Codeforces, GeeksforGeeks, LeetCode, CSES, takeUforward, InterviewBit, SPOJ, HackerRank, HackerEarth and CodeStudio. A problem outside that set can still be explained from its judge page or a web search.
Classical DSA teaches interview problems from first principles and searches both collections. Competitive Programming writes contest editorials, observation first, and searches the judge list with the platform and rating filters you mention.
Ask for one. A hint request gets two nudges and the edge cases to check, with no code and no full algorithm, so you can still solve it yourself.
Ask your first problem now. Free, no card, and every answer ends with a dry run you can step through.
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