Show HN: Job Compass – AI agents that help you find jobs, not replace you
30 points| dloku | 8 months ago |jobcompass.ai
The problem: 73% of applications never reach humans, 250+ people apply to each job, but 85% of positions are filled through networking.
Our solution: AI agents that find hiring managers for any LinkedIn job, analyze your profile fit, and generate personalized outreach messages. Instead of competing with hundreds in the application pile, you reach decision-makers directly.
Technical bits: LangChain + OpenAI for job parsing, Next.js + Supabase, custom contact discovery algorithms that work across different company structures.
Results: Users getting 70% more response rates vs regular applications.
In a world where AI is automating jobs away, we wanted to build something that helps people actually get jobs.
felixrieseberg|8 months ago
As a hiring manager, my inbox is already drowning. I don't mind the applications, I mind that most of them are _clearly_ not a good fit to the point where I'm confident that they themselves have not looked at the job posting for a single second.
The more tools like yours will be built, the more you'll have to know someone who knows me to even get a chat with me - because I won't browse through hundreds of automated messages just to find the one that isn't. I'll be honest: That'll create a tech world even more hostile to people without "the right connections" - and that makes me sad.
edwhitesell|8 months ago
gwbas1c|8 months ago
dloku|8 months ago
I totally agree with you. it's a bit a chicken and egg problem. You've got ATS systems filtering out candidates and then on the other side, you've got candidates auto-applying to a lot of unsuitable jobs.
We're trying to educate applications be more considerate and either apply where there's a fit or understand why there's no fot. If there's a fit however, then you should start building a relationship with someone first.
unknown|8 months ago
[deleted]
almost|8 months ago
So you've put a effort in to build a product just to make the world slightly worse on net. Not hugely worse, but still it doesn't seem like the best way you could have spent your time.
fhd2|8 months ago
1. One from my network, just announced it, someone I had worked with in the past reached out, quick chat, hired, great.
2. One with the usual approach of posting job ads and all that. We got an _insane_ amount of noise, even as an obscure, small company. I've hired hundreds of people, but most of those three years ago or earlier. Never seen such noise, most candidates barely meeting any of the requirements, weird auto generated cover letters and CVs. It was a bit exhausting, but I went through everyone manually to make sure I'm not accidentally filtering out a solid candidate. We found two in the end, one quickly backed out because they got another offer. But there was one good candidate left, and they accepted the offer. I don't remember this being so hard.
A few years ago I'd call people trying to automate screening or mainly hiring from their network lazy. In this time, I see the appeal.
The last thing I need is more bots spamming me on my LinkedIn account on top of all this madness.
dloku|8 months ago
Nextgrid|8 months ago
Maybe at least make it invite-only? Pay a deposit, have a chat with a human, and if the candidate isn't a spammer then they get access to the tool with rate-limits?
_Rabs_|8 months ago
Don't pollute the job pool because you want to be empathetic to many struggling applicants.
ryan_j_naughton|8 months ago
dghlsakjg|8 months ago
Makes the rest of the copy and the claims made about as trustworthy as the authenticity of the images, for me anyway.
koakuma-chan|8 months ago
deadbabe|8 months ago
Is this model now completely broken? If I was looking for a tech job again I doubt I’d fill out hundreds or a thousand of applications myself, I’d rather just pay someone thousands of dollars to do that grunt work and I just show up for interviews.
gwbas1c|8 months ago
__MatrixMan__|8 months ago
I'm at least unaware of any recent successes with the recruiter approach. (That is, recruiters who don't work for the company that does the interviewing.)
rgbrgb|8 months ago
dloku|8 months ago
jackietreehorn|8 months ago
care to provide a source for this ?
" but 85% of positions are filled through networking"
care to provide a source for this ?
No one is attached to Job Compass - AI https://www.linkedin.com/company/jobcompass-ai/
So your service couldn't even find the "decision maker" at your own company, ironic no ?
paul7986|8 months ago
Any tool to spam hiring managers whether AI or not will be marked spam which is highly impersonable, ignored and not seen.
While directly reaching out to hiring managers on linkedin might be a good thing nowadays yet with spam tools such as this Linkedin will start marking them spam and they'll never be seen.
Best thing to do to find work is through your own and or friends' personal networks as you noted.. not this IMHO.
dloku|8 months ago
Mukesh_dhal17|8 months ago
Jonovono|8 months ago
onlyrealcuzzo|8 months ago
They also made a new account just to post this to HN.
Seems like something that should get flagged.
unknown|8 months ago
[deleted]
mbm|8 months ago
- Did you personally end up getting offers using your own tool?
- Anything surprising you learned building it?
dloku|8 months ago
Also - the tool does indicate why you're likely not a good fit.
technically - yes: vibe coding doesn't work xD
talking to customer - yes: some people have issues passing interviews, less getting into 1st calls
iLoveOncall|8 months ago
So 7 responses for 347 applications instead of 4? Not exactly impressive.
And what are those extra 3 responses? "Why the hell are you messaging me?"?
blitzar|8 months ago
dloku|8 months ago
bitwize|8 months ago
dloku|8 months ago
msgodel|8 months ago
dloku|8 months ago
dghlsakjg|8 months ago
All of the images in their testimonials looked like AI to me, Dloku, the poster, claimed they weren't. Fair enough, but I looked up several in a reverse image search, and they were all stock images. So not AI generated by the poster. At the very least, the images do not represent people that have used this tool, unless all of them happen to moonlight as models outside of their tech jobs.
Further, dloku states elsewhere here that this was a three week project when questioned why he is remaining nameless, and has no about page. This tracks with the domain being registered on May 29. However, it raises the question of how so many tech workers/models were able to use the tool, and have so much success. Account manager and Stock photo model Maya (whose profile photo was also found in the pages of a US News teenlife guide on internships [1]) even testifies that she landed 3 interviews in 2 weeks, a remarkable success story and testimonial for a site that only registered their domain 2 weeks before her testimonial. That is assuming that the domain update registered on June 4th was not a nameserver update, and that the site was live and working on the exact day of registration.
Maybe they were stealth mode, maybe the testimonials are real, and they just made a judgement error in choosing to use stock images for them. But they came here to HN to show the target market, and solicit feedback, and got snarky in the comments when pushed on this stuff, which to me hints that there is something being hidden from us, or that there is an integrity issue with jobcompass.ai. Very possible it is just posturing in the SV "fake it till you make it way", but I will not trust my career decisions to a company that does this. I would much rather a company just have a good product and tell me about it, than that they use seemingly fake social proof to try to fool me.
To that end, can the creators explain why they chose to use stock images and represent them as real customers? Can they explain the extremely tight, barely possible timeline in their testimonial?
1. https://issuu.com/teenlife/docs/how_to_find_an_internship_by...
dghlsakjg|8 months ago
The only thing they missed is the trustpilot "top rated by users" badge. They have no presence on trustpilot, nor do they have any user reviews.