AlgoRise is an AI agent that analyzes your competitive programming performance, identifies your weakest categories, and builds a training plan that adapts every day.
You solved 400 LeetCode problems and your rating barely moved. Because solving more problems isn't the answer. Solving the right problems is.
You pick problems by difficulty, not by weakness. You're drilling topics you already know while gaps in graph theory or DP go untouched.
You get AC or WA. But nobody tells you why your approach was suboptimal, which pattern you missed, or what to study next.
Every "study plan" treats everyone the same. But your DP might be strong while your segment trees are weak. Cookie-cutter plans waste time.
You hit a ceiling and don't know why. Is it time complexity analysis? Implementation speed? Wrong algorithm selection? Nobody tells you.
AlgoRise watches your performance across problems and competitions, then builds a training regimen tailored to exactly where you're weakest.
Link your Codeforces, LeetCode, or contest history. AlgoRise maps every problem you've solved, timed out on, or failed, organized by category.
Using rating analytics inspired by IOI research, AlgoRise identifies which categories drag your performance down and quantifies the gap.
Every day, a new training plan. Problems picked for your exact skill gaps, difficulty tuned to your current rating, with AI explanations when you're stuck.
AlgoRise breaks down your performance across every major competitive programming topic.
AlgoRise turns competitive programming from random grinding into deliberate, data-driven training. Built on published rating analytics research.