Double - Your AI career agent that gets you hired

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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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💡 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.

 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:

 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.

Looks super exciting — congrats to the whole team on the launch! 🚀🚀

thanks a lot for the support! Hope you like Double :)

Love how the interface keeps everything as a simple text conversation instead of burying the job search behind a dozen menus and filters. Feels way more natural than the usual bloated career platforms out there.

@sinan1082007 Means a lot that you like it Sinan!

Love how the whole experience is just a text conversation — no clunky dashboards or settings maze, just tell it what you want and it handles the rest. That simplicity is hard to nail and they nailed it.

 Thanks a lot Zerda!

Upvoted.. Cngrats to launch 🙌 putting an active agent in your corner to scout opportunities completely drops the exhausting application anxiety.

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?

 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 :)

 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

 Thanks a lot Gal! Means a lot :)

When it applies for me, how much control do I get before something goes out? Recruiters can tell when an application is automated, so I'm curious if I approve each one or if it just runs and I find out later.

 You have the option to toggle between 'approve' mode and 'auto' mode! We'll always ask for input if we don't have the full picture - no AI slop applications!

The "just text it" interface is a genuinely distinctive design choice, treating career management like texting a real agent rather than another dashboard to check, which fits your framing of giving everyday people the kind of representation celebrities get. How much upfront context (resume, LinkedIn, past applications) does Double need before it starts acting with good judgment, and can users review outbound messages like network outreach and application copy before they go out, or does it act autonomously by default?

  Hey Richard, thanks a lot for the support! You can start with your resume and/or linkedin. Double gets to good judgment quickly from that, and it sharpens the more it has past applications, the roles you're targeting and what you liked or passed on. We're also adding a layer to make outreach sound exactly like the user (shipping in the next week). On the second question: you have the option to set Double to 'auto' or 'approve' mode - we default to showing users exactly what we're sending out to avoid mistakes + slop!

Maker

 At the very least, double needs your resume + linkedin to start acting with good judgement. This enables double to know your career trajectory and really understand where you currently are at in your job search process. In regards to your second question, double has two modes ask vs agent; by default double never submits applications or messages people without your confirmation, you can configure it to act autonomously though.

The idea to simplify job search with AI is at least 2 years-old.
Could you take a day or two and think about how would you compete with Jobright AI (launched in 2024 and growing)?

 Hey Vitalii! Thanks for the comment. This is a good question. Jobright has certainly paved the way for a lot of career tools, but we differentiate in two ways:

  1. Double is an agent instead of a tool. Jobright is more of a copilot, users decide what to do, when to do it, and you run each feature themselves. Double actually knows what your career context, and what you should be doing (next steps) and drives the process for you. In other words, you don't have to remember to follow up or build out your search strategy. Furthermore, Double doesn't stop at just getting people hired, it keeps managing and growing your career by growing + maintaining your network & helping you shape your portfolio + presence online.

  2. We focus on getting you seen, not just applying more. AI made everyone's applications look basically identical, so blasting out more of them stopped working. So we put as much weight on making you visible and reachable to the right people as we do on the applications themselves. We are still actively improving our product, but if you want to see our philosophy, check out: and

Let me know if this answers the question - would be more than happy to explain further!

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?

Maker

 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.