DebriefAI
Get the interview feedback you were never given
What it does
Most interview tools help you prepare. None help you improve after. DebriefAI fills that gap. It runs silently during your interview and delivers a structured AI coaching report the moment the call ends. You get a 5-dimension performance breakdown, interviewer signal analysis, an advancement probability estimate, and specific coaching on what to fix next time. First 5 sessions free. No credit card required. Mac available now, Windows coming soon.
Does the same job
all alternatives →
- IMI made a tool for job interview simulations with AI2024 · interviewwith.ai · ▲7
It also create a preparation roadmap from the job description you pasted, includes quizzes and give you feedback at the end of the interview.
- EAEnlist AI: Sub-second interview coaching with persistenceApr 2026 · ▲7
Following some initial feedback, we’ve updated Enlist AI to ensure your preparation never resets. Based on user behavior, we noticed plans were being lost on refresh, so we've implemented local persistence to keep your progress synced. What it does: Enlist AI is a full-pipeline preparation tool that turns any job description into a custom coaching experience. You paste a JD and get a personalized day-by-day study schedule. The "Mock Interview" Flow: Real-time Voice Analysis: You speak your answers out loud. We use your microphone to track performance with sub-second latency. Speech Clarity…
ClutchTimeAIJul 2026 · clutchtimeai.com · ▲8AI interview coach grounded in your resume, not generic AI
- IMI made a conversational AI for interview prep2025 · speakfast.ai · ▲8
SpeakFast helps you prep by actually talking—not just reading tips or recording yourself. The AI interviews you, challenges you in real time, and gives coaching based on how you're doing. It can even build a custom roadmap around your weak spots. There are 200K+ real roles from top tech companies to practice with. You can also paste a job description and get a tailored mock interview instantly. It’s composable, flexible, and built to feel real
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 · 27d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- 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…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com