Interview Helpers
Live AI overlay for coding & system design interviews
What it does
A discreet desktop overlay that watches your interview screen, listens for verbal questions, and serves answers in seconds. Hit Ctrl+1 on any LeetCode problem. Toggle System Design mode for whiteboard rounds. Works with GPT-5 and Claude 4.
Does the same 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.…
- WBWe built a multimodal AI interviewer for mock system design interviews2024 · app.techinterviewer.ai · ▲11
Hey HN! We’re Jared, Shreyas, and Varun the creators of TechInterviewer. We’re building a product for software engineers to go through an entirely simulated systems design interview. Our AI interviewer, Steve, gives you a prompt and you talk out loud and draw on a whiteboard while Steve guides you through the interview and gives real-time feedback. Check out our demo: https://app.techinterviewer.ai Every software engineer today has to prepare for systems design interviews and have two awful options: pay hundreds of dollars for a single session with a FAANG engineer or follow…
- SIShadow Interview Assistant – AI that sees and listens your interviews2025 · interview-assistant-ai.com · ▲6
I've built an interview assistant that sits invisibly on your screen during technical interviews. It can: - Take screenshots of coding problems with Cmd+H - Listen to questions through voice transcription (using Deepgram) with Cmd+E - Generate complete solutions using GPT-4 Vision and GPT-4.1 - Stay nearly invisible with transparency and hotkeys - Works on all meeting and screen-recording software. - Buy once, no subscription, yours forever. All updates are included. Email Support It's built with Electron, React, and OpenAI's API to fetch answers and Deepgram s. The app is designed for…
- SIStealth Interview2025 · stealthinterview.ai · ▲11
Coding interviews are broken. They're a gatekeeping ritual that has NOTHING to do with actual software engineering. We're forced to memorize obscure data structures and algorithms we'll never use, while being watched like lab rats through screen-sharing. I got fed up and built Stealth Interview - an undetectable AI assistant that works during technical interviews. It runs silently in the background while you're screen-sharing on Zoom or any other platform. The interviewer sees nothing, but you get the help you need. THIS is the only way you game the system, because the game is rigged. This…
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
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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…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com