Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

recall.cards

Recall is a free flashcard application using AI Autofill and Spaced Repetition to help users learn faster and retain information long-term.

Learning & Educationrecall.cardsTracked since 2026-08-211 discovery source
23.7KBacklinks
35Referring domains
44Domain authority
+4.2%Referring domains · 90 days

Authority & distribution

How strong is recall.cards’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

23.7KCurrent snapshot

Referring domains

35Current snapshot

Authority

44Domain authority · category median 21

90-day move

+4.2%Referring domains, last 90 days
At 44, recall.cards sits above the 21 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where recall.cards ranks

Measured · Pro

Measured for this product: global rank and country rank.

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AI referral visibility

Which AI assistants are already sending recall.cards traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What recall.cards is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“recall.cards”

Recall is a free flashcard application using AI Autofill and Spaced Repetition to help users learn faster and retain information long-term.

Learning & EducationSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://recall.cards

Observed across 1 discovery source.

Research questions

What the evidence answers about recall.cards.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What is Recall and what problem does it solve?

Recall is a flashcard application that helps users learn faster and retain information long-term. It uses AI Autofill to generate flashcard content and Spaced Repetition to optimize review schedules, reducing study workload.

What is Recall used for and in what situations?

Recall is used for memorization and study, particularly for learning languages, preparing for exams, or retaining professional knowledge. It is suitable for students, language learners, and anyone needing to remember information efficiently.

Who is Recall designed for?

Recall is designed for a broad audience including students, language learners, professionals, and anyone looking to memorize information. Its features like AI Autofill and smart scheduling cater to users seeking efficient study tools.

What features or integrations does Recall offer?

Recall offers AI Autofill for generating flashcard answers, translations, text-to-speech, and images. It includes Spaced Repetition for optimized review scheduling, smart scheduling to prevent overwhelm, and cross-device sync. It also has a ChatGPT plugin.

How is Recall priced or packaged?

Recall is presented as a free flashcard application, with no evidence in the supplied data indicating a paid pricing model or tiered packages.

What is Recall?

Recall is a modern flashcard application that uses AI Autofill and Spaced Repetition to help users learn more and study less.

Behind the lock

Unlock full recall.cards intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which one of them does it, and the page they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured