AlgoPilot

AlgoPilot is an AI coding interview practice tool that structures your prep with curated problems, honest progress signals, and spaced-repetition reviews for software engineers preparing for technical interviews. Instead of grinding random questions, it gives interview prep a system: you pick a proven track such as Blind 75, NeetCode, or the SDE Sheet, log each real solve with the time you took, your confidence, and the difficulty, then let a spaced-repetition engine schedule reviews so problems come back before you forget the pattern. The review scheduling is based on an SM-2 algorithm, the same spaced-repetition math used by long-standing flashcard tools, applied here to coding patterns. The catalog spans 5 curated tracks and around 250 core problems, and the dashboard nudges you toward one deliberate session at a time with a 'today's protocol' loop of choosing a track, logging the solve, and returning when review matters. AlgoPilot is built in public with source code available. It is a fit for candidates who want a memory-driven, structured practice routine rather than a large untracked problem bank, and who value honest progress signals over gamified streaks.

Best for software engineers preparing for coding interviews who want spaced-repetition review to retain patterns from Blind 75, NeetCode, and SDE Sheet.