
LeetPrep
Ace Your Interviews
What it does
Practice company-wise LeetCode interview questions sorted by frequency. Includes Blind 75, Blind 150, and Blind 300 curated lists with progress tracking, difficulty filters, and Google Sign-In sync.
Does a similar job
all alternatives →- CACodeRev.app – Code Review as Interview2024 · coderev.app · ▲150
I've long had a dislike for leetcode interviews on both sides of the coin. Project-based interviews can also be challenging because it can end up filtering out folks who don't want to spend several hours building something in their free time. I met up with a friend last year -- a very senior dev -- who had taken some time off to study leetcode exercises while preparing for FAANG interviews. It struck me that one of the key measures of whether a candidate is a fit for a team is rather synthetic. CodeRev.app is a simple, lightweight tool that helps teams evaluate candidates using code reviews.…


- LLLeetpro – LeetCode but for soft-skill interviews2024 · ▲5
Hey HN — we’re University of Waterloo grads, and we’re building LeetPro (https://tryleetpro.com). LeetPro is Leetcode but for soft skill-based questions and cases. In other words a platform designed to help you nail behavioral, product, and case-based interviews just like Leetcode does for technical interviews. We’re combining AI-driven mock interviews with community-driven content to create a comprehensive preparation tool for systems design, product, and business interviews. We came up with this idea just last week, and we've already launched an MVP that’s worth checking out if…

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- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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