HackerRank open sourced its ATS. My resume scored 90/100. Oh wait 74. No – 88

HackerRank CTO & author of this repo here

There's no better feeling than building something open source and watching it take off. Nine months ago, I built a simple hiring agent to solve one very real problem.

Things it is not: It's not an ATS. We don't use it to screen our open roles. Our customers don't use it either.

Here's what it is: Every year at HackerRank, we get 50,000 to 60,000 intern applications. No human can read that many resumes well. So I built something to rank them, helping me decide which resumes to read first.

[This was before we built AI Interviewer (Chakra) to automate the first round of interviews, so candidates are no longer rejected based on their resumes alone.]

Two things worth clarifying since I've seen them come up in this thread:

The default model is gemma3:4b because it's what runs locally on most laptops - no cloud API needed. Actual resumes are evaluated using a top Gemini model. The repo ships with a demo config, not the production one.

The cutoff score was set very low — the system was designed to rank resumes, not reject them. Only resumes at the very bottom of the distribution were filtered out. The vast majority passed through to human review, where the real decisions were made.

Over the last week, it's taken on a life of its own. People are cloning it, running their own resumes through it, opening issues, sending PRs.

I contributed to open source a lot in college. Somewhere along the way, I drifted away from it. This week reminded me how good that feeling is. This thread has also given me more ideas than I expected. The critiques here are sharp and I'm already thinking about how to act on them. Improvements are coming.

That's just another type of randomness (who was online during the short time the posting was opened).

Unfortunately, graduating from Harvard is a very good predictor of whether your parents were wealthy, and also that you are less likely to be black.

I worked for a very large job board for the last six years, it's the one you're thinking of. What we found is that the outcomes of paying attention to what school you went to are almost entirely discriminatory, and not predictors of success.

And this + the tendency for AI to "prefer" AI produced code + some other AI biased is why *this is most likely highly illegal to use in the EU due to violating anti discrimination laws in multiple ways.

To be clear:

- randomly filtering "too many" resumes is pretty much allowed (I think)

- but must be actual random independent of the resume (and can be in multiple layers, i.e. random filter > pre-select > random filter > select)

- this isn't the case for AI as the random aspect isn't done as the random aspect is not independent of the actual resume evaluation

- in general you can't make sure the AI doesn't apply systematic biases, and there is high indication that it does do so

- for humans you can train them and order them to ignore their biases, this won't work reliable either _but now you delegated the responsibility of illegal biases to the hiring personal violating the order_. But for AI usage you are responsibility no matter what you tell it. Lastly you can technically "show/proof" a specific used AI is highly biased in a specific contexts, which for human employees is technical possible but practical not really practical. So this moves "specific mostly deniable" cases, into "systematic proven bias" teritory. Or in other word legal risk goes from "limited/no issue" to "people can systematically f-you over if they know you use AI for hiring".

Saw this comment at the top with 0 replies and thought “How is that possible??” and then saw the “0 minutes ago” timestamp. Only on HN can you stumble into the comments section just moments after a CTO, founder, author, etc. left unfiltered remarks about the exact topic of the post. Never change HN.