OlympiadReady

AI-powered Olympiad prep for Indian school students

Education

Artificial Intelligence

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Hey Product Hunt! 👋 Akhil here, founder of OlympiadReady. The idea came from watching my younger cousin prepare for her IMO exam in Class 6. She had one printed workbook — ₹350, about 200 questions. She finished it in three weeks. After that, her options were: buy another identical book (same questions, different cover), join a coaching centre her town didn't have, or just... stop practising. That felt like a solvable problem. Olympiad exams in India are taken by over 10 million students every year. The preparation market is dominated by printed question banks that repeat, and coaching centres that cost ₹10,000–₹20,000/year and only exist in big cities. Students in smaller towns get left behind not because they're less capable, but because they run out of good practice material. So I built OlympiadReady — an AI that generates a fresh, exam-pattern Olympiad paper every single time. No repeats. Ever. What surprised me while building it: the Achievers section problem. Almost every Olympiad paper has a high-mark "Achievers" section (3 marks per question vs 1 for the rest) that decides final ranks. Most students skip it because they've never practised it specifically. So I trained the AI to generate Achievers-difficulty questions separately — and early users have told me that's the feature that moved their child's rank the most. The evolution: I started with just Maths. Then parents kept asking "do you have Science?" "do you have English?" — so we expanded to 9 subjects. Then someone asked about Spell Bee, which has zero good practice tools online, so I built a voice trainer that reads words aloud exactly like a real pronouncer. That became one of our most-used features. We're free to start — 15 papers, no credit card. Paid plans are ₹129 (~$1.50) per subject per month, which is roughly what one printed workbook costs but unlimited. Happy to answer anything — about the AI approach, the Olympiad system in India, the pricing decisions, or why I think AI is genuinely the right tool for this (and not just a buzzword). What do you want to know? 🙂