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.
Replies
Best
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
Report
Maker
Whats up guys, if you have any questions regarding the product I'll be awake all day responding so please please lmk
Which data it "reads over the internet" in terms of getting information about the job positions? Also LinkedIn?
Report
Maker
@busmark_w_nika we crawl 80k+ company career pages weekly and get job listings STRAIGHT from the source, so no aggregators like linkedin or indeed as they are quite unreliable.
@lucapiekarski Aaaa, okay, thank you for clarification! :)
Report
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?
Report
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!
Nice launch , qq how does the agent balance token limit optimization when reviewing long multi-page corporate career documents alongside deep user profile sets?
Report
Maker
@istiakahmad We don't feed raw docs into context. Long documents and profiles get extracted into structured data against our own skills/occupation taxonomies, then we use embeddings to retrieve only what's relevant to the task at hand, backed by a persistent user profile so the agent isn't re-reading everything each time. The model spends tokens reasoning, not re-parsing boilerplate. Happy to go deeper if you're building in this space!
Report
Would love to see a "quiet mode" where Double only surfaces the top 1-2 matches per week instead of a daily feed. Right now I'm worried about notification fatigue and starting to tune things out, which defeats the purpose of having an agent working for me in the background.
Report
Maker
@salimsoyal60504 Hey Salim, Thanks for the feedback! That's a great point. We're actively integrating that feature in our messaging interface. Check back in a couple of days :)
Report
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.
Report
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!
Report
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 ?
Report
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!
Replies
Whats up guys, if you have any questions regarding the product I'll be awake all day responding so please please lmk
minimalist phone: reduce your screentime
Which data it "reads over the internet" in terms of getting information about the job positions? Also LinkedIn?
@busmark_w_nika we crawl 80k+ company career pages weekly and get job listings STRAIGHT from the source, so no aggregators like linkedin or indeed as they are quite unreliable.
minimalist phone: reduce your screentime
@lucapiekarski Aaaa, okay, thank you for clarification! :)
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!
Lancepilot
Nice launch , qq how does the agent balance token limit optimization when reviewing long multi-page corporate career documents alongside deep user profile sets?
@istiakahmad We don't feed raw docs into context. Long documents and profiles get extracted into structured data against our own skills/occupation taxonomies, then we use embeddings to retrieve only what's relevant to the task at hand, backed by a persistent user profile so the agent isn't re-reading everything each time. The model spends tokens reasoning, not re-parsing boilerplate. Happy to go deeper if you're building in this space!
Would love to see a "quiet mode" where Double only surfaces the top 1-2 matches per week instead of a daily feed. Right now I'm worried about notification fatigue and starting to tune things out, which defeats the purpose of having an agent working for me in the background.
@salimsoyal60504 Hey Salim, Thanks for the feedback! That's a great point. We're actively integrating that feature in our messaging interface. Check back in a couple of days :)
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!
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!
Spycost
Really interesting concept. I’d love to try how Double finds relevant roles and handles outreach.
@glebarios Thanks so much for the support Hlib! Excited to hear what you think!
Hey everyone! I'm Vance, Double's CTO, and I'll be here all day to answer any questions you have. Also, let me know any features you'd like to see!