Double is your personal AI career agent. Just text it, and it manages your entire career: finding your roles, applying for you, growing and maintaining your network, and making recruiters chase after you.
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Maker
📌
Hey Product Hunt! I'm Loup, and I built Double alongside @vances678 and @lucapiekarski.
For most of my life, I’ve felt undervalued. I always believed that I had what it takes to get into good schools and good jobs, but it seemed like I could never represent myself in a way that showed it.
At some point I realized the people who don't have this problem aren't more talented than the rest of us. They just have someone in their corner who scouts opportunities for them, plugs them into jobs, makes the introductions, and manages how the world sees them. If celebrities and wealthy people get an agent to represent them, why doesn't a normal person have one too?
That’s why we built Double. Double is your personal AI career agent. You just text it, and it represents you: finding the roles you actually deserve, applying for you, growing your network, and building your presence online so recruiters come to you.
Most people never get the job they deserve, not because they aren’t good enough, but because they could never show it. We built Double to change that. It gets you the job you deserve and the pay that comes with it, the kind that can double what you make today.
It’s free to try at https://trydouble.ai. I’ll be here all day. This is an early version, so any advice and feedback is greatly appreciated.
We envision a world where talent can focus on developing their talent, rather than spending time stressing about being seen and found.
Loup WANG
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Would love to see a calendar integration that blocks out time for interview prep or networking follow ups, since right now the agent handles applications but I still have to manually schedule everything around it.
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Maker
@harun154545 We are actively working to integrate google calendar + mail. Double will be able to do that automatically in a couple of weeks! Thanks so much for checking us out and the feedback!
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Really interesting concept. How does Double learn from outcomes such as recruiter replies, rejections, and interviews to improve the roles it pursues and the way it represents each user? Can users also see why Double believes a particular opportunity is worth pursuing before it takes action?
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Maker
@j_mehta1 We have a custom memory layer that stores all of the actions/outcomes double takes on your behalf so it learns what works and what doesn't. In regards to users being able to see why double believes a particular opportunity is worth it, there is no UI per se, but all you have to do is ask double to explain!
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Lot of people use Claude to fix their resumes and apply to jobs. But they still end up doing the search and manually applying. I was wondering how accurate is the AI when it automates this task and does it improve over time ?
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Maker
@reda_roqai_chaoui Hi Reda, good question! Double is quite accurate with this kind of thing, we also have strict guardrails in place so double never does anything you don't want it to do. In addition to this, double also has a memory system so it is capable of learning and improving over time!
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💡 Bright idea
Congrats on shipping. The thing I would protect here is the crawler, not the agent.
Luca's answer to Nika is the most interesting line in this thread. Crawling 80k company career pages weekly and skipping the aggregators is a real asset, it is hard to copy, and it is the part nobody in the comments is talking about. Everything else in the pitch, applying for you and growing your network, is something ten other tools are claiming this month.
The risk on the applying side is timing. This is the year hiring teams started drowning in AI applications, and a lot of them are now filtering for exactly that, so volume is turning into a liability rather than an edge. If Double applies to 200 roles for me and 190 are near misses, I have not been represented, I have been mass mailed, and that lands on my name rather than yours.
So the version I would want is fewer and better. Ten roles pulled straight from company career pages, matched properly, with something written that actually sounds like me. That happens to be the story your crawler lets you tell and your competitors cannot.
One small thing on the site. It is worth saying plainly what happens to my CV, and whether anything gets posted or sent as me before I connect an account. For a product that speaks on my behalf, that answer is most of the decision.
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Maker
@abdullah_javaid3 Hey Abdullah! Thank you so much for the message. This is really good advice, and exactly the direction we're trying to go towards. You are completely correct about the volume and mass-apply issue. This is one of the biggest issues in the job market today, and leads to a viscous cycle of: volume applying leading to more rejection leading to more applying...
We want to solve this issue by doing what all our competitors don't: advise people on the best next steps to take, growing their online portfolio/presence by showcasing their projects + contributions, and connecting them to the right people to help them. We want to think about the applying as a 'given' - nobody wants to fill in applications and all we do is simplify the tedious process. We do not support mass apply, and specifically made it so that every application is carefully optimized and tailored. We are continuously searching for better ways for candidates to stand out, ones that don't rely on spray-and-pray which is killing the job market.
In the future, we are also thinking about adding a layer of friction for people that apply to roles that don't fit. We believe that everyone can shoot for any role, but if it isn't a match, Double takes the steps to advise them how to become a fit.
Side note: We have already built the feature that carefully recommends select jobs to users and are shipping that today! I've also written a few blog posts on this exact issue, would love if you could check it out: https://trydouble.ai/articles/youre-a-lemon
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@loup_wang Thanks for the thoughtful reply, and I read the lemon piece. The Akerlof framing is spot on, and it is the first time I have seen it applied to hiring without turning into a complaint about recruiters.
Two thoughts it left me with.
Your essay makes the case for the parts of Double you described here better than the site currently does. If a tailored application is cheap for everyone now, the durable value sits in the portfolio, the contributions and the warm intros, which is exactly where you say you are heading. Might be worth letting that lead, since it is also the harder part to copy.
On building a new signal, the test I would use is asymmetry rather than effort. It has to cost a weak candidate more than a strong one, otherwise the pile just gets more expensive without getting any clearer. Your idea of adding friction for roles that do not fit is the right instinct, and it works as long as that friction stays light for someone who genuinely does fit.
Really glad the select recommendations are shipping today, that sounds like the same direction. Good luck with the rest of the launch.
the crawl-80k-career-pages angle is the real moat here, agree with Abdullah on that. curious about the handoff point though - once you're past applying and into something like a take-home assignment or a live coding round, where does Double step back and let the human take over, and does it prep you for that part or just get you to the door?
Report
Maker
@galdayan Great question. Currently Double steps back and lets the human handle that. We are actively working to make Double to be able help prep interviews, but want to make that as helpful as we can be. Don't want to claim to be an interview prep tool but just be another LLM wrapper! We will ship this in the coming month :)
@loup_wang that's the right call honestly - the "another LLM wrapper" pitfall is real and I'd rather have a tool that's honest about where it stops than one that overpromises on interview prep. will keep an eye out for that update, good luck with the ship
Really like the focus on quality over mass-applying. A career agent that can tailor roles, applications, and networking from real outcomes feels much closer to what candidates actually need. How do you decide when Double should apply automatically versus ask the user for approval first?
Report
Maker
@glebarios Hi Hlib, great question! Double's actions are completely controlled by the user! You can choose between ask and agent mode, where ask requires confirmation for any actions and agent where double acts on your behalf. You can toggle between the two and save settings for certain actions so double only automates as much as a user wants.
Would love to see a calendar integration that blocks out time for interview prep or networking follow ups, since right now the agent handles applications but I still have to manually schedule everything around it.
@harun154545 We are actively working to integrate google calendar + mail. Double will be able to do that automatically in a couple of weeks! Thanks so much for checking us out and the feedback!
Really interesting concept. How does Double learn from outcomes such as recruiter replies, rejections, and interviews to improve the roles it pursues and the way it represents each user? Can users also see why Double believes a particular opportunity is worth pursuing before it takes action?
@j_mehta1 We have a custom memory layer that stores all of the actions/outcomes double takes on your behalf so it learns what works and what doesn't. In regards to users being able to see why double believes a particular opportunity is worth it, there is no UI per se, but all you have to do is ask double to explain!
Lot of people use Claude to fix their resumes and apply to jobs. But they still end up doing the search and manually applying. I was wondering how accurate is the AI when it automates this task and does it improve over time ?
@reda_roqai_chaoui Hi Reda, good question! Double is quite accurate with this kind of thing, we also have strict guardrails in place so double never does anything you don't want it to do. In addition to this, double also has a memory system so it is capable of learning and improving over time!
Congrats on shipping. The thing I would protect here is the crawler, not the agent.
Luca's answer to Nika is the most interesting line in this thread. Crawling 80k company career pages weekly and skipping the aggregators is a real asset, it is hard to copy, and it is the part nobody in the comments is talking about. Everything else in the pitch, applying for you and growing your network, is something ten other tools are claiming this month.
The risk on the applying side is timing. This is the year hiring teams started drowning in AI applications, and a lot of them are now filtering for exactly that, so volume is turning into a liability rather than an edge. If Double applies to 200 roles for me and 190 are near misses, I have not been represented, I have been mass mailed, and that lands on my name rather than yours.
So the version I would want is fewer and better. Ten roles pulled straight from company career pages, matched properly, with something written that actually sounds like me. That happens to be the story your crawler lets you tell and your competitors cannot.
One small thing on the site. It is worth saying plainly what happens to my CV, and whether anything gets posted or sent as me before I connect an account. For a product that speaks on my behalf, that answer is most of the decision.
@abdullah_javaid3 Hey Abdullah! Thank you so much for the message. This is really good advice, and exactly the direction we're trying to go towards. You are completely correct about the volume and mass-apply issue. This is one of the biggest issues in the job market today, and leads to a viscous cycle of: volume applying leading to more rejection leading to more applying...
We want to solve this issue by doing what all our competitors don't: advise people on the best next steps to take, growing their online portfolio/presence by showcasing their projects + contributions, and connecting them to the right people to help them. We want to think about the applying as a 'given' - nobody wants to fill in applications and all we do is simplify the tedious process. We do not support mass apply, and specifically made it so that every application is carefully optimized and tailored. We are continuously searching for better ways for candidates to stand out, ones that don't rely on spray-and-pray which is killing the job market.
In the future, we are also thinking about adding a layer of friction for people that apply to roles that don't fit. We believe that everyone can shoot for any role, but if it isn't a match, Double takes the steps to advise them how to become a fit.
Side note: We have already built the feature that carefully recommends select jobs to users and are shipping that today! I've also written a few blog posts on this exact issue, would love if you could check it out: https://trydouble.ai/articles/youre-a-lemon
@loup_wang Thanks for the thoughtful reply, and I read the lemon piece. The Akerlof framing is spot on, and it is the first time I have seen it applied to hiring without turning into a complaint about recruiters.
Two thoughts it left me with.
Your essay makes the case for the parts of Double you described here better than the site currently does. If a tailored application is cheap for everyone now, the durable value sits in the portfolio, the contributions and the warm intros, which is exactly where you say you are heading. Might be worth letting that lead, since it is also the harder part to copy.
On building a new signal, the test I would use is asymmetry rather than effort. It has to cost a weak candidate more than a strong one, otherwise the pile just gets more expensive without getting any clearer. Your idea of adding friction for roles that do not fit is the right instinct, and it works as long as that friction stays light for someone who genuinely does fit.
Really glad the select recommendations are shipping today, that sounds like the same direction. Good luck with the rest of the launch.
Dial
the crawl-80k-career-pages angle is the real moat here, agree with Abdullah on that. curious about the handoff point though - once you're past applying and into something like a take-home assignment or a live coding round, where does Double step back and let the human take over, and does it prep you for that part or just get you to the door?
@galdayan Great question. Currently Double steps back and lets the human handle that. We are actively working to make Double to be able help prep interviews, but want to make that as helpful as we can be. Don't want to claim to be an interview prep tool but just be another LLM wrapper! We will ship this in the coming month :)
Dial
@loup_wang that's the right call honestly - the "another LLM wrapper" pitfall is real and I'd rather have a tool that's honest about where it stops than one that overpromises on interview prep. will keep an eye out for that update, good luck with the ship
@galdayan Thanks a lot Gal! Means a lot :)
Spycost
Really like the focus on quality over mass-applying. A career agent that can tailor roles, applications, and networking from real outcomes feels much closer to what candidates actually need. How do you decide when Double should apply automatically versus ask the user for approval first?
@glebarios Hi Hlib, great question! Double's actions are completely controlled by the user! You can choose between ask and agent mode, where ask requires confirmation for any actions and agent where double acts on your behalf. You can toggle between the two and save settings for certain actions so double only automates as much as a user wants.