Fuenzer Career | AI Interview Coach

Fuenzer Career is a comprehensive, voice-first AI interview coach designed to tackle a universal problem: 75% of job seekers feel unprepared for interviews, and traditional mock interviews are either prohibitively expensive or lack the realism of spoken conversation. Built entirely within the natively.builder ecosystem, Fuenzer Career provides a frictionless, guest-first experience—allowing users to start practicing for their dream role in under 10 seconds without creating an account. Our platform stands out by replacing static question banks with dynamic, market-driven intelligence. By integrating the Bright Data API, Fuenzer Career scrapes real-time job listings from platforms like LinkedIn and Indeed. This allows our AI agents to extract currently trending skills for any specific role and generate hyper-relevant interview questions that reflect what employers are actively seeking today. The core of the practice experience relies on a complex WebSocket integration with the Speechmatics API. Instead of typing answers or recording and uploading audio files, users speak naturally into their microphone. Speechmatics processes the raw audio stream in real-time, providing immediate transcription on the screen. This mimics the pressure and flow of a real interview. Once the interview concludes, our Evaluation Agent (powered by DeepSeek-V4-Flash via AI/ML API) analyzes the transcribed text against the scraped market data. It delivers a comprehensive dashboard featuring an overall score, a detailed skill-match breakdown, and actionable delivery tips. Crucially, the system analyzes the candidate's speech patterns, explicitly detecting "filler words" (like "um," "uh," or "like") to help users speak more confidently and professionally. Fuenzer Career demonstrates the power of combining real-time APIs, web scraping, speech-to-text, and large language models into a seamless, highly functional web application.