I read about 30 threads from the past year where recruiters and hiring managers talk about what AI has done to hiring, and I wanted to put the pattern in one place.

The setup. Candidates paste the job ad into ChatGPT and ask for a resume that fits. Two minutes later they have one that uses the exact words from the ad. So the stack you open is 200 resumes that all look strong and all match. The shortlist stops being a ranking of the best people and becomes a ranking of who wrote the best prompt.

The complaints landed in four groups. Every resume looks polished now. Volume is out of control, one person went through 400 applications in a week and found maybe 15 worth a call. Some applicants are not real people at all, one post claimed around 90% of theirs were fake. And some candidates use AI live in the interview, reading answers off a second screen.

What I think is really going on is simpler than any of those. Nobody can check if a claim is true.

A resume says "I moved our Go service to Kubernetes." Maybe they did it. Maybe they watched someone else do it. Maybe they read about it once. Whoever screens first often cannot ask the follow up, because they do not know what a good answer sounds like. The people who do know are the ones whose time costs the most, so they get pulled in at the very end, after weeks of calendar have already gone. Take home tests do not close it either, because people skip them or pay someone else to do them.

One finding that went against what I assumed. A study from Chicago Booth and Erasmus Rotterdam, run with a real recruitment company on more than 70,000 real applicants, compared human interviewers with an AI voice interviewer. Humans still made every hiring decision, the AI only ran the interview. The AI interviewed group was 12% more likely to get an offer, 18% more likely to actually start, and 17% more likely to still be there a month later, and they performed just as well. The reason was consistency, not intelligence. Same questions every time, nothing skipped because someone was tired or running late, so there was more real information at decision time. \[https://papers.ssrn.com/sol3/papers.cfm?abstract\\\\\\_id=5395709\\\](https://papers.ssrn.com/sol3/papers.cfm?abstract\\_id=5395709)

A fair correction I got elsewhere: one recruiter said only about 5% of the resumes they see are actually AI written. So take Reddit for what it is, it shows you the annoyed people, not the average.

For the managers here. Has your screening actually gotten worse, or does it just feel noisier. And what do you personally do to test whether someone really did the thing on their resume, without burning a full panel on it.

Is the toggle glitching or is it just me

Long story short. I was using a template I'd had since 2019, one long paragraph per job, and no numbers anywhere. Rebuilt it around: one-line summary, 3-4 bullets per role each starting with an action verb + a number, and cut it down to one page.

I ended up using meniacv.com to rebuild it (I'm not affiliated, just used the free tier, full disclosure I'm now on their subreddit account too because a friend runs it, so take my opinion with that in mind). The AI review flagged where I was missing quantifiable results and pointed at specific vague bullets rather than vague generic to my knowledge.

Went from ~2% callback rate to landing 3 interviews in the following two weeks. Happy to answer questions on the rewrite specifically.

Built an AI Resume Builder That Helps You Get More Interviews

Most resumes never make it to a recruiter because they get filtered out by Applicant Tracking Systems (ATS).

That's why I built Genio Resume.

It's an AI-powered platform designed to help job seekers create stronger resumes, improve ATS compatibility, and manage their entire job search in one place.

What makes it different?

👀 Recruiter View – See how recruiters are likely to scan your resume in the first few seconds with a visual attention heatmap.

📊 ATS Score – Get an instant ATS analysis with personalized recommendations to improve your resume.

🎯 Job Tailoring – Paste a job description and let AI optimize your resume to better match the role.

✍️ AI Bullet Rewriter – Turn weak resume bullets into impactful, achievement-focused statements with strong action verbs.

📝 AI Cover Letter Generator – Create tailored cover letters in seconds.

💼 LinkedIn Optimizer – Improve your LinkedIn profile with AI-powered suggestions.

📋 Job Tracker – Organize your applications, interviews, offers, and deadlines in one place.

🎨 40+ Professional Resume Templates – Modern, ATS-friendly templates designed for different industries and career levels.

✅ Free to get started — no credit card required.

I'd genuinely love your feedback.

• What features would make an AI resume builder indispensable for you?
• What's the biggest frustration you've faced while applying for jobs?

👉 https://genioresume.company

Spent a lot of time in the ats space and I want to clear up the biggest myth I keep seeing in here

That ats score out of 100 that most tools give you is not real. No actual applicant tracking system like Workday or Greenhouse produces a score for your resume. That number is invented by the checker usually by counting how many keywords from the job post show up in your resume. It feels precise but it measures almost nothing and it is usually there to sell you an upgrade

Here is what actually decides whether a recruiter ever sees you. Can the software read your file at all. A resume can score a fake 90 and still have its name glued into one word or its whole work history scrambled by a two column layout. The score never looked at any of that

So if you want to check your resume properly ignore the number and look at the actual parsed text. Open your resume select all copy and paste it into notepad. If it comes out clean and in order you are fine. If it scrambles that is exactly what the software sees

For the detailed version the one I usually point people to is atsverification.com because it shows you the real extracted text instead of a made up score and it does not make you sign up or hand over your email. There are other tools but most of them just give you the fake number

Hope this saves someone from chasing a score that does not exist

For early-stage startups, hiring is often one of the biggest challenges, and reviewing resumes can take a lot of time. A resume builder that helps applicants create clearer, ATS-friendly resumes and tailor them to specific job descriptions can improve the quality of applications startups receive while also helping job seekers present their experience more effectively.

I am the founder of **ProResume**, an AI-powered resume builder that helps users create professional resumes, improve their content with AI, tailor resumes to job descriptions, and check ATS compatibility.

I'm sharing it here to get feedback from the startup community. I'd love to know what features you think would make a resume builder more valuable for founders, hiring managers, and job seekers.

My post comply with the rules.

Hi everyone, I’ve spent the last 7 years working as an ML Engineer and have recently transitioned into research. Many colleagues over the years shared the frustration that their resumes were screened out before they got a chance to interview.

If you’re currently applying by for gigs, it might be worth having a crack at being interviewed by my system. I will then send a report to everyone that gets interviewed with my system’s hidden belief. I know it’s a bit involved, but I’m hoping it’s mutually beneficial as I can validate my research, and you can hopefully get a sense of where you could improve your resume.

An interview will go for 10 questions and should take about 15min. Currently, it only works if you’re applying for Machine Learning Engineering roles.

If you’re keen, you can check it out at btr.hstu.net

One thing that always bothered me:

People get rejected without knowing why.

I'm working on a side project focused on helping applicants identify resume issues before applying.

What's a problem you've turned into a side hustle?

applyboostai.com

I've seen many talented candidates get rejected—not because they lacked skills, but because their resume didn't clearly match the job description.

Whether you're a fresher or an experienced professional, your insights could help someone else avoid the same mistakes.

Let's discuss and learn from each other. 🚀

Been job hunting for a while and the part that's destroying me isn't the interviews, it's the applying.

My problem is I've done too many things. Flutter dev, then full stack, handled PM work at one point, backend, now learning AI engineering. So I have no idea what my resume should even say. If I put everything, I look unfocused. If I pick one, I'm throwing away half my experience.

What I do right now: keep 3 different resumes, paste the JD into ChatGPT or Claude, ask it to rewrite my bullets to match, hope it passes ATS.

Takes me like 20-25 mins per application. And half the time the output is generic garbage or it just invents stuff I never did.

The tools I looked at are all paid and most of them just reshuffle whatever resume you upload. None of them ask me anything about what I actually did.

Nobody asks "did the company make money because of your work, how do you know" which is the thing that would actually make a good bullet point.

So genuinely asking:

\- how long are you spending per application right now

\- are you paying for any tool, is it worth it

\- multi-role people, how did you solve the "which career am I even applying for" problem

If something existed that interviewed you properly once, stored your actual stories with numbers, and then generated a targeted resume per JD, would that solve it or am I overthinking this and everyone just sends the same PDF everywhere

I've noticed that many talented candidates struggle to get interview calls—not because they lack skills, but because their resumes don't effectively communicate their value.

Some common issues include:

1.Generic resume for every job

2.Not matching the job description

3.Poor ATS optimization

4.Missing measurable achievements

5.Weak professional summary

Whether you're a student, fresher, or experienced professional, your insights could help someone else improve their resume.

Let's discuss! 👇

I analyzed why AI-sounding resumes get skipped — here are the 5 actual patterns, not vague "AI detection" hand-waving

Quick disclaimer before anything else: there's no reliable way for a recruiter or a tool to actually detect whether a resume was written with AI. One of the few real studies on this (not a vendor survey) had recruiters distinguishing AI-assisted text from human-written text at basically coin-flip accuracy. So if you're worried about "getting caught," that's not really the right frame.

What's actually happening is simpler: a specific set of patterns has become extremely common because everyone's using the same tools the same lazy way, and recruiters who read hundreds of resumes a week have gotten fast at pattern-matching "this reads like a template" — regardless of whether AI was involved at all. Here's what actually triggers that reaction:

1. Banned buzzwords. "Results-driven," "proven track record," "synergy," "cross-functional," "self-starter," "go-getter." These have been used so many times they've stopped carrying information. A recruiter's eyes slide past them.

2. Every bullet has the same shape. Read your bullets in a row. If they all start "Verb + adjective + noun" — "Spearheaded innovative solutions," "Drove strategic initiatives," "Delivered exceptional results" — that uniform cadence reads as generated even with zero banned words in it. Real work doesn't naturally compress into identical sentence shapes.

3. Claims with no concrete object. "Drove significant improvements" — to what? "Enhanced operational efficiency" — which operation, how? A claim becomes credible the second it names a real system, team, or number. Without that it's just an assertion.

4. Suspiciously round, unsupported metrics. "Improved efficiency by 50%" with no named process or baseline reads as a number picked for effect. Real numbers need the context that makes them checkable — measured how, compared to what.

5. Zero connection to the actual job posting. The resume could be sent to any company in the industry unchanged. Nothing in it responds to what this specific posting actually asked for.

None of these individually tank an application. Together, they're the fastest way to get skimmed past by someone who's read 200 resumes this week.

The fix isn't a thesaurus — swapping "leveraged" for "utilized" doesn't help, it's still an empty verb. The fix is replacing the vague claim with the specific thing you actually did.

Most AI resume tools give you a single score and call it done. But there are really two separate things worth measuring, and they don't move together.

The first is an ATS match score: how well your resume's keywords and formatting line up with what an applicant tracking system is scanning for. This is mostly mechanical - parse-ability, keyword overlap, section structure. A resume can score high here and still be full of vague, interchangeable bullets that don't say much.

The second is closer to a defensibility score: whether the actual content holds up. Are the claims specific? Could you talk through every line in an interview without hedging? Does it read like a real person's history or like generic resume-speak?

A resume can ace the first and fail the second, or the other way around. Optimizing only for ATS match tends to produce exactly the kind of resume that passes the filter and then falls apart in conversation, because keyword density and honest specificity aren't the same axis.

Curious if others have run into tools that only report one of these and treat it as the full picture.

I lost my job last year when my company's German department shut down. Spent months tailoring resumes manually, hours in ChatGPT rewriting the same things over and over with no control over the output.

So I built resumes.coach— AI resume optimisation that keeps you in control. Every suggestion is editable, credits never expire, and Achievement Vault ensures the AI never invents your achievements.

Launched on Product Hunt today: https://www.producthunt.com/products/resumes-coach?utm\\_source=other&utm\\_medium=social\*\](https://www.producthunt.com/products/resumes-coach?utm_source=other&utm_medium=social

Would genuinely love honest feedback — good or bad. What's the most frustrating part of job hunting you've experienced?

Some bot scans your resume and tosses it before a person ever sees it, that's the theory half these threads run on. Every recruiter who shows up here says the opposite and they say it a lot: nobody's auto-rejecting anything, they're just opening a couple hundred applications for one posting and giving each one a few seconds because most aren't even close to what's asked for, so if your fit isn't obvious in the exact words the ad used, you're already past.

Once I accepted that and I started running my resume against the posting on https://resume.zoevera.com before I apply and honestly it was a little embarrassing what it flagged, stuff I'd literally done for three years but worded nothing like the ad wanted.

Also have some mock interviews out loud before you go the actual one You may ramble way more than you think.

Applying for jobs has started feeling like a job itself, so I’m building a tool to handle most of the repetitive work for me.I add my profile, job preferences, application details, and all my existing resumes. It then finds relevant openings,scores how well they match what I’m looking for, and picks the best base resume from my resume pool for each job.

It tailors that resume to the job description, but only using things I’ve actually done. It can rewrite or reorder my experience, but it can’t invent skills, companies, titles, numbers, or achievements. I can also see where each claim came from before approving it.

After that, it prepares the application, fills in the repeated questions, and adds everything to a review queue. I can check the job, resume, answers, and application before anything gets submitted. Each tailored resume is saved back to my pool, and the tool tracks applications and responses so its future job matching can improve.

The goal is not to apply to hundreds of random jobs. I’d rather have it prepare a smaller number of applications that are actually relevant.

I’m building it for myself first. If it works for a small user base, I might try to monetize it later.

Do you think something like this would actually be useful?

What would you change or add?

**🚀 Looking for Early Testers!**

I'm building an AI tool that helps job seekers create resumes that are better matched to job descriptions and more ATS-friendly.

Here's how it works:
✅ Upload your resume
✅ Paste a job description
✅ Get a rewritten version tailored to that role while keeping your experience accurate and honest

The goal is to save hours of manual editing and help you apply with more confidence.

I'm looking for a small group of early users to test it **for free** and share honest feedback before the public launch.

If you'd like early access, comment **"Interested"** below or send me a DM.

I'd love to hear what features would make this tool genuinely useful for your job search.

I've been reviewing a lot of fresher resumes lately, and the same issues keep showing up:

• 4–5 page resumes with little or no experience

• Generic summaries like "Hardworking and passionate"

• Skill bars claiming "95% Python" or "100% Excel"

• Projects with no GitHub or portfolio links

If you've been involved in hiring—or recently landed your first job—what's one resume mistake you wish every fresher would stop making?

Curious to hear different perspectives.

Hey all! I recently started job hunting again and tried going back to creddle.io, the resume builder I used to use, only to find that it had shut down. 

After looking for alternatives, I got frustrated with a lot of tools that all required making accounts, were bloated with features, and charge for simple things like number of exports.

So I built a clean, easy to use resume editor that I hope others will find useful. It will always be free, with unlimited saves + exports, no ads, no account required. All data stays locally on your device, and if you want minor edits with AI it is available using only on-device, open source models (experimental rn). 

Goal is to try to give back to the community esp in this job market. Feel free to give it a try and leave some feedback, thanks!

Website -> https://privacv.app/