ResumeRadar โ Your AI Hiring Bestie
Screen 1000 resumes in one coffee break. No cap.
10 followers
Screen 1000 resumes in one coffee break. No cap.
10 followers
Tired of scrolling through 200 resumes at 11pm? ResumeRadar's got you. Our AI screens, scores, and ranks candidates in minutes โ and even catches the hidden gems your ATS keeps filtering out. Toss in an AI Interview Copilot so you're never stuck on what to ask, and you've basically got a recruiter bestie who works 24/7 and never complains. Upload. Screen. Hire. It's giving efficient. ๐ฏ
Hey Product Hunt fam ๐
Okay so real talk โ I built ResumeRadar because I was literally IN talent acquisition and HR ops, and screening resumes manually was eating my entire life. Like, why is it 2026 and recruiters are still ctrl+F-ing through 200 PDFs for "5 years experience"? That's not it. ๐ญ
So I built the tool I wish I had. ResumeRadar uses AI to screen, rank, and surface the best candidates in minutes โ not days. It even finds the hidden gems that get filtered out by rigid keyword matching (we call it the Hidden Talent Finder, and yes it's as good as it sounds). ๐ฏ
โจ the vibe check:
1000 resumes screened before your coffee gets cold โ
Finds the underdog candidates your ATS ghosted ๐ป
AI Interview Copilot so you're never caught lacking on questions ๐ค
One-click reports that make you look like the office genius ๐ง
If you're in HR, recruiting, or just hire people sometimes and hate it โ I'd love for you to pull up and roast/praise it in the comments. Every bit of feedback helps me make this better ๐
Try it out here ๐ https://resumeradar.in
Would also love to know: what's the WORST part of your current hiring process rn? Trying to solve for the real pain points, not just vibes.
LFG ๐
#HR #recruitment #founder #saas #startup #resume #Humanresource
The ranking saved me so much time on a recent role, and the Interview Copilot questions actually felt relevant instead of generic. Wish I had this during my last hiring spree.
@kardelenrmtfpnย Thank you so much, Kardelen โ this genuinely made our day. Hearing that the ranking cut down real time on an actual hire, and that the Interview Copilot questions felt relevant rather than generic, is exactly the outcome we built this for. That's the hardest part to get right, so it means a lot that it showed up for you. Next time you're hiring, ResumeRadar's live and ready โ would love to have you using it properly rather than just wishing you had it. Happy to give you early access to anything new we ship too, if you'd want that.
Love the interview copilot idea but it would be a game changer if it could also suggest role specific scoring rubrics before screening starts. Right now I am tweaking weights manually for each job post and it feels like the kind of setup work the AI should be handling for me.
@zafer175063ย Really appreciate this, Zafer โ glad the interview copilot concept is resonating, that's the core of what we set out to build. You're right that manually tweaking weights per job post is exactly the kind of setup work that shouldn't be on you. The idea of the AI suggesting a starting rubric based on the role (that you can then adjust) makes a lot of sense as the next step beyond just letting people customize it. Noting this down โ appreciate you sharing what your actual workflow looks like right now, that context helps a lot. Hope you try it.
the interview copilot idea is solid but i'd love a way to customize the scoring rubric per role instead of using defaults. every team weighs culture fit, specific stack experience, and years differently, so letting hiring managers set weighted criteria before uploads would make those rankings way more trustworthy.
@bcotur95435ย Thanks so much, Berat โ really glad the core interview copilot idea is landing, that means a lot coming from someone thinking about hiring workflows closely. You're right that defaults can't capture how differently teams weigh culture fit vs. stack depth vs. experience โ that's exactly the kind of nuance a one-size rubric misses. Weighted, per-role criteria set by the hiring manager before screening is a great way to frame it. Adding this to the roadmap โ would love to loop you in when we prototype it if you're open to that. hope you try it.
Love the interview copilot angle, that part feels genuinely useful. One thing that would make this a no-brainer for me though is a calibration mode where you feed it your last few hires and rejects so the scoring actually reflects what your team has historically picked, rather than relying on generic signals.
@yunusp3tmย Yunus appreciate the feedback, but I'll be honest with you โ
the whole point of ResumeRadar is to remove bias from hiring,
not reinforce it ๐
if we calibrate scoring based on who your team historically
hired and rejected, we're just teaching the AI to repeat the
same patterns โ including the bad ones. that's literally how
algorithmic bias gets baked in.
what we do instead is evaluate every candidate purely on
skills, experience, and keyword match against the job
description. no historical bias. no gut feel. just the data.
and honestly? most teams find they're shortlisting people
they would have skipped manually โ which is kind of the point.
BUT โ if you want the AI to weight certain skills heavier for
your specific role, that's already possible. just weight the
JD description toward what matters most and the scoring
reflects it automatically.
also curious โ are you on Greenhouse or Lever? because
ResumeRadar connects to both in 60 seconds and AI-ranks your
entire existing candidate pool overnight. might be worth
trying for a month before building new features ๐
resumeradar.in โ give it a shot, would love your real feedback
after actually using it ๐
Quick update from the ResumeRadar team ๐
A few days into launch and wanted to share what's actually resonating, plus a feature a lot of you have been asking about.
ATS Integration has turned out to be the one people care about most, and honestly, it's the part we're proudest of. If you're already using Greenhouse or Lever, ResumeRadar plugs straight in โ no exporting CSVs, no manual re-uploading candidates, no keeping two systems in sync by hand. Your existing pipeline just gets smarter without you changing how you work.
Alongside that:
๐ค AI Resume Screening โ reads every resume properly, ranks candidates against the actual role, not just keyword matching
๐ Hiring Reports โ clean summaries you can hand straight to a hiring manager without extra explanation
๐ณ Flexible dual-currency pricing โ so teams outside one region aren't stuck converting manually
๐ Live Dashboard โ everything in one place, updated in real time
A genuine thank you to everyone who's commented so far โ a few of you (shoutout to Berat and Zafer) pushed us on customizable scoring rubrics per role instead of one default, and that's now something we're actively looking at building. This is exactly the kind of feedback that makes launching here worth it.
If you're dealing with ATS chaos or ranking anxiety on your next hire, would genuinely love for you to try it: resumeradar.in
Love how the tagline leans all the way into that bestie energy, really sets the tone. Also the AI Interview Copilot sounds like such a smart move, anything that kills the awkward silence mid-interview is a win.
@eydalkmenuzdoย ลeyda thank you so much!! ๐
"kills the awkward silence mid-interview" โ honestly that's going in
our next marketing copy, you nailed it better than we did ๐
And yes the Interview Copilot is one of my favourite features โ it
generates technical, behavioural AND situational questions tailored
to the exact role in one click. No more scrambling for questions 5
mins before the interview.
One thing people sleep on though is the ATS integration โ if you're
already using Greenhouse or Lever, ResumeRadar connects in 60 seconds
and AI-ranks every candidate already inside it. Zero workflow change,
just suddenly everything is 10x smarter overnight.
Would love for you to try it for a month and tell me what you think โ
resumeradar.in ๐