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I failed my Google interview after 200+ LeetCode problems. Changing how I practiced helped me get an offer.

I studied 200+ LeetCode problems and still failed my Google interview. The problem count made it feel like I was prepared. But recognizing a solution and being able to produce it under pressure turned out to be different things. That’s the gap I built AlgoDrill around. Instead of stopping at reading the explanation, you hide key lines and rebuild the solution from memory. Each prompt describes what the line needs to accomplish, and you can inspect the reasoning when you ge

五维评分

付费意愿
30
需求真实度
45
个人可落地
90
竞争空间
30
新鲜度
55

AI 分析

痛点:刷了200+道LeetCode仍无法在面试压力下独立写出解法,缺少从“看懂”到“现场产出”的回忆训练。

目标用户:准备Google等大厂算法面试的软件工程师和CS学生

证据:I studied 200+ LeetCode problems and still failed my Google interview. ... recognizing a solution and being able to produce it under pressure turned out to be different things.

变现:订阅制(月付/年付),免费试用后对进阶题库、学习计划、自定义题目导入和复习追踪收费

MVP:两周内做Web端MVP:支持导入NeetCode 150题目,隐藏关键代码行,按提示重建解法,记录复习间隔和进度。

竞品:LeetCode、NeetCode、AlgoExpert、Anki/通用间隔重复工具

摘要:作者刷了200+道LeetCode仍挂掉Google面试,于是做了AlgoDrill:通过隐藏关键代码行、按提示重建解法来训练回忆,并称后来拿到offer。帖子是产品发布和个人经验,没有披露收入或他人付费/需求验证。