Real-time 1-on-1 voice interviews
Supports live voice conversational interviews, where candidates respond verbally and interact with the AI interviewer in a format that is closer to a real interview scenario.
Lollipop 是一款面向求职者的 AI 面试官工具,提供实时语音面试、岗位 JD 解析、简历优化和结构化复盘。它帮助用户在投递前和面试中更有针对性地准备,但不替代企业的真实面试。
Lollipop is an AI interviewer product for job seekers that provides an integrated support flow from resume optimization and job analysis to interview practice and review. Its core scenario is simulating a real interview through live voice conversations, questions based on the job JD, and automatically generated structured evaluation reports to help users prepare more effectively for interviews.
The homepage shows that the product covers four stages: resume, application, interview, and review. Users can first optimize their resume at the character level, then analyze the job JD to understand role requirements, then run interview practice with configurable difficulty and interviewer roles, and finally review the evaluation results.
Supports live voice conversational interviews, where candidates respond verbally and interact with the AI interviewer in a format that is closer to a real interview scenario.
The interviewer asks questions based on the job JD and organizes them around project experience, technical depth, and follow-up pressure to help users practice role-relevant responses.
Automatically generates a structured evaluation report after the interview, making it easier to review performance, organize issues, and plan next steps.
Before applying, you can paste a job description or upload it by photo recognition to extract the JD’s core content and break down skill keywords and hiring intent.
Resumes support character-level optimization, allowing users to select text, optimize it with one click, then review and directly overwrite the content themselves.
Before the interview, you can configure the interviewer role, question difficulty, and voice tone to match different practice goals.
Before a formal interview, users can upload a resume, choose a role, and run a round of voice simulation to get familiar with the interview pace through targeted questions.
After getting a job description, users can analyze the JD by pasting text or uploading a photo to quickly extract key skills and hiring intent.
When a resume needs to be adapted for different roles, users can select text and optimize it with one click, then confirm whether to overwrite the original wording.
After an interview ends, users can review the structured evaluation report, identify weak areas in their answers, and plan the next round of practice accordingly.
When simulating different interview situations, users can switch interviewer roles, difficulty levels, and voice tones to practice handling questions in different styles.
After registering and activating your account, first choose a role and upload your resume, then complete a 1-on-1 voice conversation with the AI interviewer. According to the page, a full interview takes about 15–25 minutes, and the system automatically generates a structured evaluation report afterward that only you can see.
The page says the AI interviewer asks questions based on the job JD, covering project experience, technical depth, and follow-up pressure, with an overall pace close to a real 1-on-1 interview. It is suitable for practice and self-assessment, but it does not replace a company’s real interview process.
It is recommended to use the latest version of Chrome or Edge on desktop and allow microphone permissions. The page notes that Safari and mobile browsers are not fully supported yet, which may affect the voice interview experience.
Your resume is used only so the AI interviewer can understand your background. It is encrypted and stored on the server, is not shared externally, and is not used for model training. Interview recordings and evaluation reports are visible only to you.
The page provides the email `[email protected]` as a contact channel and notes that replies are usually sent within 1–2 business days.
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