Executive Summary

Many developers preparing for interviews, bootcamp graduates, and engineers doing continual upskilling routinely forget LeetCode solutions within days without targeted reinforcement, forcing them to re-solve problems and losing productive time; this affects a meaningful portion of the 26 million software developers worldwide who spend time on algorithm practice and interview prep. The symptom is clear — solved problems don't become durable knowledge — and the cost is repeated effort and slower hiring outcomes for candidates and employers. You could build an "auto SRS recall" product that automatically ingests solved problems from LeetCode, GitHub gists, or IDE history, uses LLMs to generate concise recall cues and small-code tests, and schedules micro-review prompts in the IDE or mobile for true spaced repetition with zero manual flashcard creation. Core elements would be integrations (LeetCode, VS Code, GitHub), on-device or privacy-first LLM summarization, lightweight practice widgets, and analytics that show retention lift and time saved. The timing is favorable: the addressable market is roughly $2.6B (26M developers × $100/year ARPU), market score 90/100, revenue potential 92/100, and macro trends — better LLM code understanding, growth in remote hiring, and rising SRS adoption — all increase willingness to pay for efficiency-improving tools. Competition is medium, so there’s room for focused offerings that solve a clear pain point rather than general-purpose study apps. To stand out you must deliver a truly zero-card experience with high-quality, code-aware recall items, seamless platform integrations, and enterprise-grade privacy controls that make hiring platforms and teams comfortable adopting it. The challenges are nontrivial: creating reliable LLM prompts for varied code, keeping recall items diagnostically valid, managing privacy/legal concerns, and controlling acquisition costs — but with tight product‑market fit and early partnerships the business can scale into both individual subscriptions and B2B licensing.

Market Opportunity

Forgetting LeetCode solutions after days — auto SRS recall with zero-card work targets a $2.6B = 26M software developers x $100/year average subscription total addressable market with medium saturation and a year-over-year growth rate of 12% — steady growth in coding bootcamps, online interview prep and dev upskilling.

Key trends driving demand: LLMs for code -- better automatic summarization and synthesis enables auto-generated recall cues and tests.; Remote hiring growth -- more candidates preparing remotely increases demand for efficient prep tools.; Spaced-repetition adoption -- learners are adopting evidence-backed methods (SRS + microlearning) for durable retention.; Browser-extension + OAuth ecosystems -- easier capture of user activity from platforms like LeetCode and GitHub..

Key competitors include Anki, RemNote, Quizlet, LeetCode (native features) + AlgoExpert (adjacent).

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Forgetting LeetCode solutions after days — auto SRS recall with zero-card work

Executive Summary

Market Validation

Market Opportunity

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