Built on Learning Science

Quick Recall

Last-minute interview prep that actually works

490+ flashcards covering SQL, Python, Statistics, ML & LLMs — prioritized by what interviewers actually ask

Pressto start
490+
Flashcards
5
Topics
6
Roles Covered
<3m
Per Card
The Process

Three steps to confidence

01

Configure

Choose your available time and target role. Our scoring algorithm automatically prioritizes cards by interview frequency, role relevance, and difficulty — so you always start with what matters most.

02

Review

Each card covers exactly one concept — with a clear explanation, code example, and interview tip. Cards are ordered by how frequently they appear in real interviews.

03

Focus

Rate your confidence on each card. Anything marked "Review Later" comes back until you've got it — so nothing slips through the cracks.

The Science

Built on research, not hunches

2-3×better retention

Active Recall (Testing Effect)

Roediger & Karpicke's research: testing yourself strengthens neural pathways far more than passive re-reading.

100%coverage of weak spots

Adaptive Review Loops

Cards you mark "Review Later" resurface until you're confident. No concept slips through the cracks.

1concept per card

Cognitive Load Theory

Each card focuses on exactly one idea. Based on Miller's research — your working memory can only hold a few items at once.

50%weight on frequency

Interview Frequency Scoring

Cards ranked by: interview frequency (50%), role relevance (30%), and difficulty level (20%) — based on real interview data.

Research-Driven Content

Every card backed by real interview data

Each card is built from in-depth web research across every topic and subtopic — analyzing real interview questions, frequency patterns, and what top companies actually ask. Content is reviewed and updated monthly.

How We Research

  • Sourced from publicly available and shared interview questions across top data science hiring platforms
  • Frequency scores based on how often each topic appears across real interviews for 6 data roles
  • Published hiring guides and recruiter insights from top tech companies
  • Community feedback from working data scientists and engineers
Last updated: February 2026

Time-Based Selection

Our algorithm fits the highest-priority cards into your available time:

10 min~8 cardsCritical concepts only
20 min~15 cardsEssential coverage
30 min~23 cardsThorough review
60 min~45 cardsDeep preparation

Build your personal Favorites deck

Star any card during a session to save it. Before your interview, launch a Favorites-only session to review just the concepts that matter most to you — the ultimate last-minute revision tool. Sign in to unlock.

Ready to ace your interview?

Free. No signup required. Start reviewing in under 30 seconds.

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