The problem: Hiring new grads is broken. Thousands of identical resumes, but we're all different people. Understanding someone takes time - assessments, phone screens, multiple interviews. Most never get truly seen.
I didn't want to be just another PDF. So I built an AI twin that recruiters can actually interview.
What you can do: •Interview my AI about anything: https://chengai.me/chat •Paste your JD to see if we match: https://chengai.me/jd-match •Explore my projects, code, and writing
What happened: Sent it to one recruiter on LinkedIn. Next day, traffic spiked as it spread internally. Got interview invites within 24 hours.
The bigger vision: What if this became standard? Instead of resume spam → keyword screening → interview rounds that still miss good fits, let recruiter AI talk to candidate AI for deep discovery. Build a platform where anyone can create their AI twin for genuine matching.
I'm seeking Software/AI/ML Engineering roles and can build production-ready solutions from scratch.
The site itself proves what I can do. Would love HN's thoughts on both the execution and the vision.
Charlie112•1h ago
If you're interested in the full story and more details, I also wrote about this on LinkedIn: https://www.linkedin.com/posts/charlie-tianle-cheng-6147a432...
The technical implementation treated the iteration process like training a model: test the AI's responses, measure the "loss" against what I wanted, backpropagate by adjusting prompts/RAG/CRUD, and repeat.
Happy to answer any questions about the tech stack, the AI architecture, or the broader vision!