Swipe right. Applied. Wobo is your personal AI recruiter. It matches pre-vetted jobs to your background, then applies on each company's own site for you. Your resume, cover letter, and every application question: all written in your voice, so it reads like you wrote it, not a bot. No endless forms. No ghost listings. Just swipe, and wake up to interviews.
I'm Serdar. I built Wobo with my co-founder Taha. Here's the rundown.
What it is: It's Tinder for jobs. You swipe right on a role, and Wobo applies for you on the company's own site.
Why we built it: Even finding the right roles meant checking LinkedIn, Indeed, then digging through company career pages one by one. Then for each one came the grind: read the full description, research the company, spend 20 minutes refilling the same forms, tailor a resume and cover letter to boost our odds, then pray it wasn't a scam or a ghost listing.
So we built Wobo. Now all of that is one swipe.
How it works
You tell Wobo what kind of role you're after, and it builds your Wobo Persona, a digital twin shaped by your background, experience, and your voice.
It scans the market daily and brings you the best matches, including jobs that never hit LinkedIn or Indeed.
You swipe through them and keep the ones you like.
Wobo applies on each company's own site for you, with a resume and cover letter tailored to that job and written in your voice, exactly how you would.
What makes it different: The core is your Wobo Persona. Every answer it writes and every job it applies to, you can give feedback on, and it learns, so over time it sounds more and more like you. That's why Wobo applications read like you wrote them, not generic AI. And unlike tools that spam recruiters or just auto-fill LinkedIn Easy Apply, Wobo applies on each company's real site, only to roles you picked.
What you get
Pre-vetted companies, scored on real signals. Every company gets a Wobo Score before its roles reach you. No ghost listings, no scams.
A fit score on every match, so you decide in seconds.
The whole company in one card: salary, ratings, benefits, and culture, so you can judge it before you apply.
One swipe replaces a 26-minute application.
Who it's for: Anyone job hunting right now, from internships to senior roles, who's tired of drowning in applications.
Try it: It's completely free, on web and iOS. I'd love your honest feedback: what would make you swipe right, and what's missing?
100k+ people use it now, and my sister even found a job through it, which still feels strange to say. I'll be here all day, and a big thank you to Rohan for hunting us.
the tinder for jobs mechanic is compelling for the engagement model but the asymmetry is worth thinking through. on Tinder both sides are choosing. in job applications you're deciding but the company hasn't seen you yet. swiping right and having Wobo apply creates volume which might feel like progress but could hurt your candidacy if you're applying to roles where the hiring manager sees multiple applications from you or where the automated submission pattern is detectable. what's the recommended volume of applications per day and have you seen any downside to high-volume automated applying
Applied to maybe 200 jobs the old way once. Would have maybe swiped a kidney for a swipe button. Five years too late for me but go off.
Congrats on the launch. Applying on the company’s actual site instead of spamming Easy Apply is the part that makes this more interesting.
The main trust question for me is review control: for high-stakes fields like work authorization, salary expectations, relocation, or “why this company,” can candidates mark certain answers as “always ask me before submitting”? That would keep the swipe flow fast while avoiding the few mistakes that can really hurt an application.
How does Wobo handle the wildly different form structures across thousands of career pages?
Love the "swipe right and wake up to interviews" concept — the fact that it applies on the company's actual career site instead of just LinkedIn Easy Apply is the real differentiator. The Persona feature sounds like the key to keeping applications from feeling generic. Congrats to you and Taha on the launch! One question: when Wobo applies to many roles for the same person, how do you avoid a candidate looking spammy to companies that share applicant tracking systems — is there any pacing or per-company limit built in?
interesting approach to the application side. curious how you think about the other half of this — as AI makes applying easier, the signal-to-noise ratio for employers gets worse. every applicant starts to look polished. the bottleneck shifts from "can this person write a good cover letter" to "can we actually tell who's good at the job." feels like there's a matching problem that outlasts the application problem.
@serdaraksoy Congrats!! How are situations handled where questions are asked beyond just typical resume and cover letter drops? "What excites you about this company?", "Tell us about an accomplishment you are proud of", etc. Over time I suspect more companies will begin adding in these bespoke questions to try and prevent people from mass auto-applying, so am curious how Wobo handles these "edge cases"!
One thing I'd love to understand: what happens when Wobo answers a custom application question incorrectly or misses important context? If the user only sees it after submission, that could be a pretty painful failure mode. A pre-submission preview of the full application would probably be the first feature I'd want.
Congrats on the launch!
How do you handle application flows and custom questions without it getting stuck or submitting something wrong?
Does it customize the resume and cover letters? Or does it just use the resume that is uploaded
Hey all 👋 Taha here, co-founder at Wobo. Serdar's post already lays out the full picture, so rather than repeat him I'll jump straight to the part I'm personally most excited about.
You saw the swipe, and it really is fun. But under the hood we also do Autopilot, and honestly I think that's the most important thing we've built. Once your profile is set, you can fine tune everything (the roles, salary range, locations, company type, how aggressive you want it to be) and then just hand it over. Wobo applies in the background to real roles at top tier companies, in your voice through your Persona. No swiping, no forms.
And here's the part I love most: making the job hunt fun is one thing, but not having to spend that time at all is the actually fun part. You set up your profile once, barely touch it after that, and Wobo keeps running while you get on with your life. It all lives on web and mobile too, so you can check in straight from your phone whenever you feel like it.
We're always looking at what else we can add to make this even smoother, and we genuinely read every comment here and take your feedback to heart, so please keep it coming 🙏
Congratulations on the launch! I'm curious to know what criteria other than skill are used as the basis. Is there a value match or something more individual?
@taha_keles Hey guys, nice solution. by the way, do you have a promo code for the purchase of Wobo Autopilot ?
Interesting approach. How are you handling candidate relevance when job descriptions are poorly structured?
Interesting take on job search automation. The part I’d want to trust most is “in your voice” for application questions. Do users get a review step per application, or can they set rules for when Wobo applies autonomously?
The company-site application part is what makes this feel more useful than a job board wrapper. If it can keep applications tailored and natural-sounding, it removes a lot of the worst job hunt friction.
the part that actually matters is applying on the company's own site instead of just spamming linkedin easy apply. that's what real recruiters pay attention to. curious how the Wobo Persona learns your voice over time... does it get noticeably better after 5-10 applications or is it pretty accurate from the start
Job searching can be exhausting, so I love the idea of simplifying the process and helping people discover opportunities they might otherwise miss.
The swipe-based experience feels fun and approachable, and having applications tailored to each role is a great touch.
About Wobo - AI Job Search on Product Hunt
“Tinder for jobs: swipe right and AI applies for you”
Wobo - AI Job Search launched on Product Hunt on June 15th, 2026 and earned 313 upvotes and 46 comments, earning #2 Product of the Day. Swipe right. Applied. Wobo is your personal AI recruiter. It matches pre-vetted jobs to your background, then applies on each company's own site for you. Your resume, cover letter, and every application question: all written in your voice, so it reads like you wrote it, not a bot. No endless forms. No ghost listings. Just swipe, and wake up to interviews.
Wobo - AI Job Search was featured in Productivity (655.6k followers), Artificial Intelligence (473.1k followers) and Career (2.1k followers) on Product Hunt. Together, these topics include over 256.3k products, making this a competitive space to launch in.
Who hunted Wobo - AI Job Search?
Wobo - AI Job Search was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Wobo - AI Job Search stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
Hey Product Hunt 👋
I'm Serdar. I built Wobo with my co-founder Taha. Here's the rundown.
What it is: It's Tinder for jobs. You swipe right on a role, and Wobo applies for you on the company's own site.
Why we built it: Even finding the right roles meant checking LinkedIn, Indeed, then digging through company career pages one by one. Then for each one came the grind: read the full description, research the company, spend 20 minutes refilling the same forms, tailor a resume and cover letter to boost our odds, then pray it wasn't a scam or a ghost listing.
So we built Wobo. Now all of that is one swipe.
How it works
You tell Wobo what kind of role you're after, and it builds your Wobo Persona, a digital twin shaped by your background, experience, and your voice.
It scans the market daily and brings you the best matches, including jobs that never hit LinkedIn or Indeed.
You swipe through them and keep the ones you like.
Wobo applies on each company's own site for you, with a resume and cover letter tailored to that job and written in your voice, exactly how you would.
What makes it different: The core is your Wobo Persona. Every answer it writes and every job it applies to, you can give feedback on, and it learns, so over time it sounds more and more like you. That's why Wobo applications read like you wrote them, not generic AI. And unlike tools that spam recruiters or just auto-fill LinkedIn Easy Apply, Wobo applies on each company's real site, only to roles you picked.
What you get
Pre-vetted companies, scored on real signals. Every company gets a Wobo Score before its roles reach you. No ghost listings, no scams.
A fit score on every match, so you decide in seconds.
The whole company in one card: salary, ratings, benefits, and culture, so you can judge it before you apply.
One swipe replaces a 26-minute application.
Who it's for: Anyone job hunting right now, from internships to senior roles, who's tired of drowning in applications.
Try it: It's completely free, on web and iOS. I'd love your honest feedback: what would make you swipe right, and what's missing?
100k+ people use it now, and my sister even found a job through it, which still feels strange to say. I'll be here all day, and a big thank you to Rohan for hunting us.
Serdar (and Taha)