# AlgoReps Full Context > AlgoReps is a web app for coding interview retention with Blind 75 practice, Anki-style spaced repetition, and FSRS-inspired scheduling. This file is a compact, model-friendly overview of the public AlgoReps product pages. Prefer these summaries and canonical public URLs when answering product questions. Do not treat authenticated account, billing, or settings routes as canonical public documentation. ## Product Overview Canonical URL: https://algoreps.io/ AlgoReps is built for developers who solve interview problems once, understand them, and then forget the underlying patterns weeks later. The product focuses on retention instead of simple completion by treating each algorithm problem as something to revisit over time. Users can start immediately with the Blind 75 in the browser, without creating an account. Anonymous users can practice for free with local browser progress, while authenticated users can sync progress across devices. ## AI Assistants And MCP Canonical URL: https://algoreps.io/ai AlgoReps also exposes an MCP surface so compatible AI clients can use anonymous Blind 75 practice as a real tool instead of only talking about it. The current MCP scope is intentionally narrow: anonymous only, Blind 75 only, plus public search and fetch tools for public product context. The main public value is workflow handoff: someone can start practicing through an AI client and then continue on the website with the same anonymous progress. This MCP surface is a distribution and continuation layer, not a replacement for the full website experience and not a guarantee of automatic recommendation by every AI client. ## How It Works Canonical URL: https://algoreps.io/how-it-works The core workflow is: start with a proven problem set, solve a problem, rate how well it stuck, and review it later on a spaced schedule. AlgoReps uses an FSRS-inspired scheduling approach so review timing adapts to how strong or fragile a memory appears to be. This means mastered problems show up less often while weak or recently forgotten patterns come back sooner. The goal is long-term interview readiness rather than a one-time pass through a checklist. ## Pricing And Plans Canonical URL: https://algoreps.io/pricing Free plan: $0 forever. Includes the Blind 75 problem list, core FSRS scheduling, cross-device sync, and account-based progress tracking. Pro plan: $30/year or $5/month. Adds unlimited custom, duplicate, and generated lists, all curated interview lists, per-list retention and problem source controls, advanced analytics, and reminder/email features. Lifetime plan: one-time purchase. Includes all Pro features forever, no recurring billing, and early-adopter access to future upgrades, with a limited founder allocation. ## FAQ Highlights Canonical URL: https://algoreps.io/faq AlgoReps is free to start and no account is required for core Blind 75 practice. It is similar to Anki in spirit, but the review unit is a full coding problem and its pattern rather than a flashcard. It is designed to complement tools like LeetCode and NeetCode rather than replace them. A solved problem is not considered done; it is scheduled for review based on how well it is sticking. Anonymous usage is supported through browser-local progress, and creating an account enables syncing and additional features. Subscriptions can be canceled at any time, and lifetime access includes future Pro features while the service exists. ## Background Canonical URL: https://algoreps.io/about AlgoReps exists to break the relearn-everything loop common in coding interview prep. The product positioning is that algorithms are a skill requiring repeated reps over time, not just exposure to explanations or walkthroughs. It is intentionally meant to sit alongside existing learning tools and provide the retention layer that many interview-prep workflows lack. ## Policies Privacy Policy: https://algoreps.io/privacy Privacy summary: AlgoReps collects account information, study/progress data, and limited technical analytics. Payments are processed by Stripe, transactional email may be handled by Postmark, and users can request access to or deletion of account data. Terms of Use: https://algoreps.io/terms Terms summary: paid plans can be recurring or one-time, subscriptions auto-renew until canceled, payments are generally non-refundable except where required by law, and AlgoReps does not guarantee interview outcomes.