AlgoCoach
An AI algorithm coach for students and job seekers who need more than a solution: a clear path from first idea to independent mastery.
Built for the moments when practice breaks down
Algorithm learners often know the syntax but still struggle to form an approach, interpret failures, and connect one solved problem to a durable learning path.
The blank-page problem
A progressive hint ladder gives the smallest useful nudge while keeping the learner responsible for the solution.
Feedback that arrives too late
Real execution results and evidence-based diagnosis explain failures while the reasoning is still fresh.
Fragmented learning paths
Goals, practice, assessment, and review share one learning record instead of living in disconnected tools.
Solved is not the same as learned
Counterexamples and review cards test assumptions and bring weak patterns back at the right moment.
AI assistance with visible boundaries
The product is designed to make feedback useful, traceable, and easy to challenge rather than asking learners to trust an opaque answer.
One workspace across the learning journey
AlgoCoach connects the activities that turn repeated problem solving into measurable skill growth.
Goal-based onboarding
Set a learning goal, preferred language, and weekly practice target.
Curated problem library
Practice core patterns across arrays, stacks, search, linked lists, dynamic programming, BFS, and DFS.
Real browser execution
Run JavaScript and Python in disposable workers with test output and a strict time limit.
AI coaching
Request diagnosis, a counterexample, progressive hints, or a focused follow-up conversation.
Independent assessment
Complete a timed two-problem check without AI hints, then review accuracy and weak topics.
Personalized review
Revisit mistakes, topic gaps, and review cards generated from real practice interactions.
Product principles
The choices behind the current MVP.
Practice the reasoning, not just the submission
Open a problem and let the coach reveal only the next step you need.