We built a multimodal AI interviewer for mock system design interviews
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…
In plain words
TechInterviewer is an AI-powered mock interview platform for software engineers preparing for system design interviews. Users speak aloud and draw on a whiteboard while an AI interviewer named Steve presents prompts, guides the conversation, and provides real-time feedback. The product targets engineers who need interview preparation but want an alternative to expensive one-on-one sessions with experienced engineers or passive learning through videos.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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 silently alongside a YouTube playlist. Because there is no instant feedback while practicing, engineers often learn about their most important knowledge gaps during the course of the interview loop. Jared and Shreyas are both senior engineers who have spent 1000s of hours preparing for and administering systems design interviews. Shreyas was an early engineer at Deepgram and spent many years tracking developments in the TTS (text to speech) space. He realized that voice interviews had potential to change the candidate experience when he starting using chatGPT to prepare for interviewing founding engineer candidates at his startup. We’re hoping that having easy access to interview feedback will level the playing field of software engineers at different skill levels. We’re really excited to share this with you all and we’d love any thoughts, feedback, and comments
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 26d ago · cactuscompute.com
Launched alongside, January 2024
the whole month →
- IM
Life & fun · 2024 · sitinshade.com
