
Recallyo -Turn Notes into Exam Questions
Turn PDFs ,lectures notes into exam questions instantly
Recallyo -Turn Notes into Exam Questions launched on May 12, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Recallyo helps students turn PDFs, lecture slides, and study notes into AI-generated exam questions, flashcards, and active recall practice in seconds. Unlike traditional flashcard apps that require manual setup, Recallyo focuses on fast, exam-oriented studying. Simply upload your notes and instantly get swipeable recall questions designed to improve retention and reduce passive rereading. Built for students preparing for exams, competitive tests, and rapid revision sessions.
Upload your PDF and get swipeable flashcards in 30 seconds
Stop rereading. Start testing yourself. Upload a PDF, Word doc, or image of your notes and get exam-ready questionsfrom recallyo.com
Does a similar job
all alternatives →

recallJul 2026 · recallapp.online · ▲43I have been bouncing off flashcards because making them by hand has been always a tedious task. Recall runs as an MCP server - you can connect it to Claude or Chatgpt, point your handwritten or typed notes (PDFs, docs, or even a Notion Page), and it writes Q&A cards straight into a deck. You could even ask Claude or Chatgpt to research on a topic and do the same without having the need to make notes. Then you review them with the FSRS spaced repetition algorithm. Built it solo over the last 2 weeks. Stack used: Next.js, Drizzle + Neon, ts-fsrs for scheduling It's a paid product - no card…



More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com