This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
ExamAI
Turn your PDFs into exam-ready answers with local AI
ExamAI is an offline AI study assistant that lets students ask questions directly from their PDF notes. It uses local embeddings, ChromaDB, and Ollama to keep study data on the user's computer. It supports multiple PDFs, document switching, exam answers for 2M, 5M, 8M and 10M questions, and full-document summaries.
Hey Product Hunt 👋
I built ExamAI because I wanted a simpler way to study from my own notes without sending them to a cloud AI service.
ExamAI lets you upload your PDF study material and ask questions directly from it. It uses local AI, embeddings, and vector search to keep the workflow offline.
A few things I built into it:
• Multiple PDF support with document switching
• Exam Mode for 2M, 5M, 8M and 10M answers
• Full-document summary mode
• Local ChromaDB vector storage
• Local Ollama inference
• No external AI API required
The biggest challenge was making the retrieval system work reliably across multiple documents while keeping each document's context isolated.
I'd really appreciate feedback from the Product Hunt community — especially on the product positioning, UX, and what feature you think I should build next.
Thanks for checking out ExamAI! 🚀
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About ExamAI on Product Hunt
“Turn your PDFs into exam-ready answers with local AI”
ExamAI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #142 on the daily leaderboard. ExamAI is an offline AI study assistant that lets students ask questions directly from their PDF notes. It uses local embeddings, ChromaDB, and Ollama to keep study data on the user's computer. It supports multiple PDFs, document switching, exam answers for 2M, 5M, 8M and 10M questions, and full-document summaries.
ExamAI was featured in Productivity (659.9k followers), Education (79.1k followers) and Artificial Intelligence (477.8k followers) on Product Hunt. Together, these topics include over 310k products, making this a competitive space to launch in.
Who hunted ExamAI?
ExamAI was hunted by Apoorva Chittapur. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ExamAI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Apoorva Chittapur