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Show HN: I built an AI twin recruiters can interview

2 points - yesterday at 11:19 PM


https://chengai.me

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.

Source

  • vunderba

    yesterday at 11:45 PM

    Nice job. I've seen a couple of these on HN (Resume-context driven chat interfaces). [1] [2]

    I can't speak to whether this could become a realistic standard but you might want to reach out to @jhgaylor who took a stab at trying to build an MCP server around this concept. [3]

    [1] - https://www.jon-olson.com/resume_ai

    [2] - https://replicant.im/alex

    [3] - https://news.ycombinator.com/item?id=43891245

    • Charlie112

      yesterday at 11:22 PM

      Hey HN! I'm the builder here.

      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!

      • chrisjj

        yesterday at 11:34 PM

        Wow.

        > Build a platform where anyone can create their AI twin for genuine matching.

        Add a premium tier that deepfakes you into each opening's "AI"-researched ideal candidate.

        And a super premium tier to deliver the exclusive best fake for each particular opening.

        Once you get traction, offer recruiters a filter that removes the fakes for $$$, but instead deliver just improved fakery.

        Let recruiters pay $$$$$ to have their competitors get only fakes.

        But be quick, else be beaten to it by Cory Doctorow or Charlie Brooker :)