Media
4 items
Description
Spaced repetition for LeetCode problem reviews You solve a problem, feel good about it, and then blank on it three weeks later in an interview. AlgoSRS fixes that. It brings Anki's spaced-repetition engine to LeetCode, so every problem you solve gets scheduled for review at the exact interval your memory needs — right inside leetcode.com. How it works: Solve a problem, then rate how well you knew it (Very Hard / Hard / Easy / Very Easy). AlgoSRS schedules your next review using FSRS, a modern algorithm that adapts to your personal forgetting curve. When something's due, the widget tells you — no spreadsheets, no guessing what to revisit. Key features: Zero-friction capture — title, difficulty, and topic tags saved automatically, one click. Guided review sessions — hit "Start Review" and work through every due problem with keyboard shortcuts (1–4 to rate, S to skip). Smart daily limits — cap your daily reviews and let overflow roll forward, so review never turns into a second job. Real progress tracking — difficulty breakdown, rating distribution, top topics, memory stability, and a review streak. Honest ratings, enforced — you can only rate a problem while you're on its actual page, so you can't fudge "I remember this." Local-first sync — works fully offline, merges cleanly across devices when you're back online. Your data, exportable — pull everything out as JSON, anytime, no lock-in. Clean, fast UI — frosted-glass design, dark and light themes. Who it's for Anyone grinding for coding interviews who wants the problems to actually stick — not just the solution, but the pattern, the approach, and the edge cases that trip people up months later. Free. Private. Open source. https://github.com/omarzayedbeshir/AlgoSRS
rating_count is the Chrome Web Store ratings count, not a written-review count.