Tell us what role you’re hiring for. AI recruiter sources qualified candidates, screens them against your requirements, sends personalized outreach, tracks replies, and books interviews directly on your calendar.
Hope the founders do consider the learning from infamous "Amazon’s Gender Biased Recruiting tool". Where tool started systematically penalizing women for technical roles.
Recruiting is one of the loudest categories on AI search right now — I run a tool that watches MentionFox's visibility across ChatGPT/Claude/Gemini/Perplexity and "AI recruiter" comes up dozens of times a week with the same 4-5 names cited (almost all enterprise tools you have to demo to even price). Curious — what's your current strategy for showing up in those AI-assistant answers? That's where job-seekers and HR folks search now, not just Google. We see a real gap between which tools are recommended in chatbots vs. which tools actually solve the problem at SMB price points. Congrats on the launch. The autonomous angle is the right wedge — manual recruiter SaaS is exhausting at scale
congrats! can i feed more of my company hr context into openjobs for it to match better, rather than just jd for a specific role? how do you handle taste/culture match on top of skills?
End-to-end autonomous including screening is a bold claim. Curious how Mira handles EEOC/bias risk. Is there an audit trail showing why candidates were rejected?
Impressive product!🥳 most AI tools struggle with the nuance of tech roles, but OpenJobs AI actually understands project depth and candidate fit beyond just keywords.The quality of the shortlists generated is remarkably high. Definitely the most “intelligent” recruiting agent I’ve used so far.
Curious about sourcing. Are you pulling from LinkedIn, GitHub, your own database?
Curious about data privacy. Where are candidate profiles and conversation logs stored?
What's the user experience like as a candidate that Mira reaches out to once a call has been booked? Is the call with an AI agent or with an actual human recruiter from the hiring company?
The "candidate identification and outreach" piece is what we pay the most attention to building in the B2B sales automation space — and it's genuinely the hardest part to get right at scale. Curious how Mira handles the personalization-to-volume tradeoff: does it generate outreach messages per candidate, or does it work from templates the recruiter configures? The quality floor on AI outreach tends to collapse fast when volume goes up.
Congratulations on the launch. Tried it. How do you find if the candidate is really fit for the job and is actually looking for the job?
Honestly, I never imagined we'd be on Product Hunt at this stage, much less Hunted by Rajiv himself. Every single one of us has been heads-down solving real hiring problems for our customers, not building decks or chasing visibility.
We're not a team that likes to talk loud. We're pragmatic, we sit inside our customers' workflows, and every part of Mira is built around problems we've watched recruiters and founders actually struggle with, not problems we imagined from a whiteboard.
So today is genuinely surreal. Thank you, Rajiv, for the trust. And thank you to everyone showing up in this thread, every comment, upvote, and piece of pushback is shaping what we build next.
We're listening. And we're just getting started.
how long does it typically take to get the first batch of candidates sourced after setup?
Congrats! Curious how candidates experience the outreach does it feel automated or more natural?
Really like the multi-agent angle here. Most tools stop at sourcing. Congrats on the launch, will be keeping an eye on this.
How does it handles Resume noise? Like handling if Candidate has an AI optimised resume or he is a real builder?
A little worried about candidate experience. Aggressive automated outreach is already burning out top candidates. How does OpenJobs AI avoid contributing to the noise?
How does Mira handle niche roles like quant or biotech? Or is it mostly noise?
Tried it on a niche role where I was genuinely skeptical the AI would find anyone good. It surfaced candidates I hadn't found in 3 weeks of manual search. Real respect！Curious — how are you guys approaching growth and distribution right now? Feels like this could scale really well through SEO/GEO around hiring workflows, job titles, and recruiter intent searches.
About OpenJobs AI on Product Hunt
“End-to-End Autonomous AI Recruiter”
OpenJobs AI launched on Product Hunt on May 11th, 2026 and earned 379 upvotes and 90 comments, earning #2 Product of the Day. Tell us what role you’re hiring for. AI recruiter sources qualified candidates, screens them against your requirements, sends personalized outreach, tracks replies, and books interviews directly on your calendar.
OpenJobs AI was featured in Hiring (15.3k followers) and Pitch Singapore on Product Hunt. Together, these topics include over 8.1k products, making this a competitive space to launch in.
Who hunted OpenJobs AI?
OpenJobs AI was hunted by Rajiv Ayyangar. 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 OpenJobs AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rajiv Ayyangar
Hope the founders do consider the learning from infamous "Amazon’s Gender Biased Recruiting tool". Where tool started systematically penalizing women for technical roles.