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Appliqu
Tell it your dream job. It applies until you interview.
Job searching is a full-time job. Appliqu replaces it. Tell the agent your target role, upload your CV, and walk away. Appliqu scans 500+ ATS boards and job portals across 37 countries every two minutes, scores each opening against your profile with a multi-model LLM stack, writes a tailored CV and cover letter for every match, and submits - continuously, until an interview invitation lands. You don't browse. You don't fill forms. You show up for the interview. Free to start, no card.
Hi Product Hunt 👋
I'm Niclas, co-founder and CEO of Appliqu.
This started in an interview. I was interviewing Alexey, now my co-founder and CTO, and somewhere in the conversation he mentioned, almost as an aside, that he'd built an agent that applied to jobs for him. He wasn't job hunting anymore. He'd automated himself out of the process entirely.
I couldn't stop thinking about it. Not because it was clever engineering, though it was, but because of the obvious follow-up question: why does everyone else still do this by hand? So we started building it properly, together, to take it to market and get it into the hands of people who don't happen to have a backend engineer's skill set.
The tools that existed all optimised the wrong step. Resume builders make one document faster. Trackers make it easier to watch yourself fail. Job boards make browsing marginally less painful. Nobody was asking whether the human should be in that loop at all.
So we built an agent instead of a tool. You tell Appliqu what role you want, upload your CV, and stop. From there 27 specialised agents scan 500+ ATS boards and job portals across 37 countries every two minutes, a multi-model LLM stack scores every opening against your actual profile, and matched roles get a tailored CV and cover letter submitted automatically. It keeps running until an interview invitation arrives.
Two things changed while building it:
We underestimated how much the matching mattered. Our first version applied too broadly and users hated it, not because it wasted applications, but because it made them feel like they were spamming. Precision turned out to be a trust feature, not an efficiency one. Now nothing goes out below your threshold, and every match shows its reasoning.
We built it EU-first and it made the product better. We're a German company, so GDPR and the AI Act weren't optional. That forced a human-in-the-loop default, per-tenant data isolation at the database level, and a genuine consent moment before anything fully autonomous runs. Constraints we initially resented turned into the thing that makes people comfortable handing over their job search.
Free tier, no card. Would love to hear where it breaks, especially if you're job hunting outside Germany, since coverage depth varies by market and we want to know where the gaps are.
Happy to answer anything in the comments today.
Niclas covered the story already so I'll just talk about what's under the hood.
Honest truth: the AI part was the easy bit. The real pain is that 500+ job boards in 37 countries all have different forms, different quirks, and they change without warning. That's why we ended up with 27 specialised agents instead of one big one. Parsing, scoring, writing, submitting, they all break in different ways so each got its own agent. We scan every two minutes because being early in the applicant pile matters more than people think.
What I underestimated most was the UX though. My first version had no interface at all, just logs. I figured if the whole point is "walk away", who needs a UI. I was completely wrong. When people hand over their job search they want to see what's happening. So now everything is inspectable: every match shows why it scored the way it did, you see what was sent and where, and nothing runs autonomously until you explicitly turn it on.
We also shipped some things along the way that started as side ideas and stuck. There's a CV Editor mini app now, and a feed you can scroll for interesting positions and insights, for the days when you actually feel like browsing.
And we're building something bigger on the side, AppliquIntelligence Computer. Bigger agentic system that helps with the whole process, not just applications. Company research, interview prep, all of it. Too early to show but that's the direction.
Really curious about first feedback today. What to improve, what we can do better, and also where we already got it right. Where it breaks (especially outside Germany, coverage is uneven), where the UI confuses you, what felt good. All useful.
I'm here all day :)
About Appliqu on Product Hunt
“Tell it your dream job. It applies until you interview.”
Appliqu was submitted on Product Hunt and earned 3 upvotes and 2 comments, placing #90 on the daily leaderboard. Job searching is a full-time job. Appliqu replaces it. Tell the agent your target role, upload your CV, and walk away. Appliqu scans 500+ ATS boards and job portals across 37 countries every two minutes, scores each opening against your profile with a multi-model LLM stack, writes a tailored CV and cover letter for every match, and submits - continuously, until an interview invitation lands. You don't browse. You don't fill forms. You show up for the interview. Free to start, no card.
Appliqu was featured in Productivity (658.2k followers), Artificial Intelligence (475.9k followers) and Career (2.2k followers) on Product Hunt. Together, these topics include over 272.5k products, making this a competitive space to launch in.
Who hunted Appliqu?
Appliqu was hunted by Niclas Fischell. 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.
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Niclas Fischell