Record your AI avatar once: an open-source AI HR hunter (and why it never presses Send on LinkedIn)
I wrote hireburn and put it under MIT. It's a Python CLI, standard library only, with no network calls, so nothing leaves your machine. Why the avatar part exists People put off recording an avatar because they picture a studio. You need a window, a phone and twenty minutes, once. After that the av
Posted on Nov 5 • Originally published at github.com • AI-assisted
I wrote hireburn and put it under MIT. It's a Python CLI, standard library only, with no network calls, so nothing leaves your machine.
People put off recording an avatar because they picture a studio. You need a window, a phone and twenty minutes, once. After that the avatar asks every candidate the same questions in the same words, so the first interviews can be compared with each other.
The candidate page says they are talking to an AI avatar before they press Start. The scoring rubric always puts a warning next to the HIRE / MAYBE / NO label: the label is not a measurement.
hireburn drafts LinkedIn outreach and reminders from a template plus a hook line that a person writes after reading the profile. The queue has random pauses, hourly and daily limits, and working hours. It has a STOP button for the first warning or captcha, and a reply tracker.
A human presses Send. hireburn never does.
We got a LinkedIn restriction when our pace was not human. Bots in this area get their accounts limited, and that's why the default limits are what they are.
The funnel leaks where nobody looks. No-shows, bookings nobody updated, people who got access and never started, decisions that sat for weeks. hireburn shows the loss at each stage and the days until first real work.
It also puts the AI label next to whether that person is still working on day N. In the case this method grew out of, the AI interview labels did not match who was still working weeks later. So the tool puts the label beside the outcome, and you can check it on your own people.
The demo runs on a synthetic company, and all its numbers are invented and round on purpose.
This is part of the payrollburn series of cases about AI managers in a live company. The method report is at doi.org/10.5281/zenodo.23927437, and the story of the case is on DEV.to: AI hiring in a live company.
Code: github.com/arsentev-ai/hireburn · Software DOI: 10.5281/zenodo.23979629 · Method report: 10.5281/zenodo.23927437 · PyPI: hireburn
Evgenii Arsentev, MD, PhD — author of contextburn and the payrollburn case series; Founder & CEO, Dad4Kids.
AI assistance: drafted and edited with an AI tool; what the tool does is taken from its README and code.