Fresh Graduate AI Written Test and Interview Copilot Browser Extension — Monthly Revenue of 20k CNY
Workflow: During daily operations, batch import newly emerging administrative aptitude tests, personality assessments, and profess
Key Fields
FIELD STAMPS🔧 Workflow
During daily operations, batch import newly emerging administrative aptitude tests, personality assessments, and professional position test question banks from the past 3 days every morning. Invoke large language models to generate standard reference answers and store them in the local database. After installing the Chrome extension, users enable the auxiliary function when logging into corporate campus recruitment written test pages or online interview platforms. The extension automatically recognizes page questions via OCR screen capture or crawls real-time interview subtitle text, calls large language models to match existing question banks or generate real-time reference answers, and displays them in the sidebar. At the same time, it automatically generates an interview review report and pushes it to the user. Inputs are online written test question text and real-time interview audio/video streams; outputs are real-time reference answers, personalized interview review suggestions, and a wrong question notebook.
🛠 Setup Requirements
Building the tool requires mastering basic Chrome extension development capabilities, paired with cost-effective large model APIs such as Qwen and DeepSeek, as well as text recognition tools like PaddleOCR. The MVP version can be completed within 2 to 4 weeks of initial investment. Compliance disclaimers need to be prepared in advance, clearly stating that the tool is intended for study assistance purposes only and usage risks are borne by the user to avoid legal disputes related to cheating. There is no need to purchase a separate server in the early stages; personal cloud service accounts can be used to handle traffic, and configurations can be upgraded after the user base exceeds 1,000.
🧰 Toolchain
- 🔧 Chrome Extension API
- 🔧 Qwen API
- 🔧 PaddleOCR
- 🔧 WeChat Pay
💰 Revenue
Adopts a subscription-based pricing model. The basic version is priced at 99 CNY per month, including access to general question banks; the advanced version is priced at 199 CNY per month, including customized question banks for vertical positions and 1-on-1 interview review features. The goal is to accumulate 500 active paid users, with a normal monthly revenue of around 20,000 CNY. During peak periods of spring recruitment, autumn recruitment, and social recruitment, user volume can surge by 3x, and peak season monthly revenue can reach 50,000 to 80,000 CNY. Additionally, customized demands for SME bulk recruitment written test assistance can be undertaken, charging 500 to 2,000 CNY per instance for extra income.
💸 Cost
The primary expense is model inference usage fees, settled based on actual calls, approximately 2,000 to 4,000 CNY per month. The Chrome developer registration fee is a one-time payment of 5 USD. In the initial stage, a lightweight cloud host costs about 300 CNY per month. Total fixed monthly expenses are approximately 2,500 to 4,500 CNY, with a gross profit margin of over 85%.
⏱ Time Investment
2 to 3 hours per day (customer service, iteration, and marketing); 6 to 8 hours of overtime during peak seasons and holidays.
🚀 Getting Started
Step 1: Prioritize developing an MVP version capable of recognizing administrative aptitude tests, personality assessments, and basic programming questions and generating reference answers. Release it to job-hunting communities for fresh graduates, university social groups, BOSS Zhipin, and other platforms, recruiting 10 to 20 target users for free trials to collect feedback and iterate on question bank accuracy. Step 2: Launch the paid subscription feature. Initially price it at 49 CNY per month for user acquisition. After accumulating 100 paid users, gradually increase the price to 99 to 199 CNY per month, while simultaneously acquiring customers through collaborations with job-hunting bloggers on Xiaohongshu and Bilibili.
🔑 Keys to Success
- ✅ Mastering promotion timing during written test peak seasons
- ✅ User word-of-mouth driving viral growth
- ✅ Continuous improvement of question banks and accuracy rate
- ✅ Multi-scenario written test question bank coverage
⚠️ 风险
- ⚠️ Legal gray area: Some corporate written tests explicitly prohibit external assistance, which may involve integrity issues and requires prior compliance risk mitigation
- ⚠️ Big platform squeezing: Leading recruitment platforms such as BOSS Zhipin and Zhilian Zhaopin may directly build-in similar features, squeezing the survival space for individual tools
- ⚠️ API costs rising with user growth: If the user base exceeds 3,000, large model API call costs may rise to over 10,000 CNY per month, requiring advance optimization of call logic
📌 Real Cases
- 📌 AI Resume Ji (resumemakeroffer.com): Its official website claims that over 5,000 managers and middle-to-senior executives have paid to use it, validating the C-end willingness to pay for AI-assisted job-hunting tools
- 📌 OfferStar (offerstar.cn): Focuses on online AI written test and interview assistants, covering common campus recruitment scenarios such as administrative aptitude tests, personality assessments, and programming questions. After launch, it has served over 100,000 job seekers cumulatively, proving clear market demand in the written test assistance track
- 📌 Interview Genie (interview-genie.com): Focuses on AI assistance in interview scenarios, providing functions such as interview question prediction, answer optimization, and review reports, with a paid conversion rate of 12%, validating user payment recognition for interview assistance tools