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Rankify
Any question-paper PDF becomes a real CBT in your browser
Rankify turns any question-paper PDF into a genuine CBT — free, no signup, nothing uploaded. What's different: extraction has two free paths. Our public Gemini GEM needs no API keys - upload PDF, paste JSON. Or let the built-in AI read papers page by Mistral, NVIDIA with checkpoint-resume so a rate-limited crash costs one page, not eighty. Diagrams are never AI-guessed — you drag a box on the actual PDF and that exact crop ships with the question. Papers live only in your browser's IndexedDB.
Hey PH! 👋 I'm Naman, solo maker of Rankify.
The origin is embarrassingly simple: my drive was full of question papers — coaching modules, pre-boards, random PDFs at midnight — and practicing them meant either printing (who owns a printer?) or paying test-series platforms for questions that weren't mine.
So Rankify does one thing: PDF in → a real exam out.
Three honest things I'm proud of:
1️⃣ Two free extraction paths — our public Gemini GEM (no API key, literally copy-paste) or an AI agent that reads page-by-page through Groq/Mistral/NVIDIA/local Ollama, checkpointing every page so rate-limit crashes cost you one page, not eighty.
2️⃣ Diagrams are never AI-guessed. You drag a rectangle on the actual PDF and that exact crop attaches to the question. Slower than "AI magic" — but correct, which matters when it's your exam.
3️⃣ The whole thing is client-side. No backend holds your data; papers and results live in your browser's IndexedDB. Clear browser data → gone by design.
Also: yes, the app looks like a notebook — ruled paper, washi tape, sticky notes, a pencil ink-trail cursor, and a WebGL dither footer that ripples under your mouse. Come for the mock tests, stay for the sticky notes.
It's free forever (PolyForm Noncommercial), fully open source: https://github.com/namandhakad71...
Roast it, break it with weird PDFs — weird formats are my favourite bug reports. 🙏
About Rankify on Product Hunt
“Any question-paper PDF becomes a real CBT in your browser”
Rankify was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #158 on the daily leaderboard. Rankify turns any question-paper PDF into a genuine CBT — free, no signup, nothing uploaded. What's different: extraction has two free paths. Our public Gemini GEM needs no API keys - upload PDF, paste JSON. Or let the built-in AI read papers page by Mistral, NVIDIA with checkpoint-resume so a rate-limited crash costs one page, not eighty. Diagrams are never AI-guessed — you drag a box on the actual PDF and that exact crop ships with the question. Papers live only in your browser's IndexedDB.
On the analytics side, Rankify competes within Productivity, Education, GitHub and Online Learning — topics that collectively have 784.4k followers on Product Hunt. The dashboard above tracks how Rankify performed against the three products that launched closest to it on the same day.
Who hunted Rankify?
Rankify was hunted by Naman Dhakad. 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.
For a complete overview of Rankify including community comment highlights and product details, visit the product overview.
Naman Dhakad