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recall
Flashcards your AI writes from anything you read
Recall turns your notes into spaced-repetition flashcards - made by your AI, not by hand. Point Claude or ChatGPT at a PDF, doc, or Notion page and it writes atomic Q&A cards straight into Recall over MCP, no copy-paste. Then review them one card at a time with FSRS scheduling. It's the card-making grind of Anki, automated - so you spend your time recalling, not formatting.
It's the night before a test. You've read your 40 pages of notes three times and you still don't trust yourself to remember any of it. You know flashcards would fix this. You also know you'll never sit down and make 60 of them by hand.
Hey Product Hunt 👋
I'm Tushar, a software engineer from India, and that exact moment is why I built Recall.
I've been preparing for an exam and kept quitting spaced repetition for the same reason every time - reviewing cards was fine, but making them was so tedious I'd give up by day two. So I handed the making to the AI I was already using.
You point Claude or ChatGPT at your notes - a PDF, a doc, a Notion page - and it writes atomic Q&A cards straight into your Recall deck over MCP. No copy-paste, no exporting CSVs, no leaving the chat. Then you review them one at a time with proper FSRS scheduling.
It's not another "AI flashcard generator" that spits out a list you have to clean up - the cards land in your deck, sorted into folders, ready to review. Anki's card-making grind, automated.
I'm a solo maker and Recall is a paid product, with early pricing for the first users. I'll be in the comments all day - ask me anything, especially the MCP side.
👉 My ask: if you've ever bounced off flashcards or Anki, tell me what actually killed it - the making or the reviewing? I've got a theory and I want to know if I'm wrong.
About recall on Product Hunt
“Flashcards your AI writes from anything you read”
recall was submitted on Product Hunt and earned 51 upvotes and 17 comments, placing #22 on the daily leaderboard. Recall turns your notes into spaced-repetition flashcards - made by your AI, not by hand. Point Claude or ChatGPT at a PDF, doc, or Notion page and it writes atomic Q&A cards straight into Recall over MCP, no copy-paste. Then review them one card at a time with FSRS scheduling. It's the card-making grind of Anki, automated - so you spend your time recalling, not formatting.
On the analytics side, recall competes within Productivity, Education and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how recall performed against the three products that launched closest to it on the same day.
Who hunted recall?
recall was hunted by Luo. 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 recall including community comment highlights and product details, visit the product overview.
Luo