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JobCubby

Run your job search like it's your job

Hiring
Artificial Intelligence
Career
Visit WebsiteSee on Product Hunt

Hunted byPavel SolovevPavel Solovev

JobCubby is a job-search command center: track every application from saved to offer, with AI that assists but never impersonates you — tailored cover letters, screening-answer prep, résumé feedback and interview practice. Unlike generic trackers, it has a built-in job feed and ships its own MCP server, so you can run your entire search from Claude or any AI assistant. Autopilot watches new postings and preps applications for you. Free to start.

Top comment

Hi Product Hunt!

I built JobCubby after watching my own job searches dissolve into chaos - applications scattered across tabs, spreadsheets and email threads, follow-ups forgotten, and every cover letter written from scratch at 1am.

The idea: run your job search like it's your job. One place to track every application from saved → applied → interview → offer, with AI doing the heavy lifting - cover letters tailored to the posting, screening-question prep, résumé feedback and interview practice. There's also a built-in job feed with about 100k new positions monthly, so you can go from "found it" to "applied" without leaving the app.

The approach evolved a lot along the way. The biggest shift: I stopped trying to make the AI do everything for you and made it assist-only - it prepares drafts, scores matches and drafts screening answers, but you always hit submit. Job hunting is personal; the tool should amplify you, not impersonate you.

The second shift was opening it up to AI assistants: JobCubby ships an MCP server, so you can manage your whole search from Claude or any MCP-capable assistant - "log this application, schedule the interview, prep my answers." absolutely free.

For the technically curious: it's written in Elixir + Phoenix LiveView end to end, so every screen is real-time server-rendered, and the same OTP machinery runs the job feed sync and the AI pipelines.

Launch treat: code PRODUCTHUNT gets you 20% off, live all July. Happy to answer anything!

Comment highlights

Thanks for the detailed answers in the comments, Pavel, especially the breakdown on scoped OAuth permissions for connected agents. Splitting read/write/destructive access so a connected assistant can be given read-only is the right default for something holding someone's whole job search.

A concrete case where the MCP server helps: someone actively interviewing who wants Claude to log a new application and draft screening answers between meetings, without switching to a separate tab to update a tracker by hand afterward.

I noticed the exchange with Manjeet about self-hosting and AGPL. We work on Heym, which is self-hosted and source-available in a similar automation and MCP space, so I get why that request comes up for anything holding salary history and employer contacts. If the tracker core does eventually get open sourced, would that be something people could realistically self-host against their own Postgres, or more of a reference implementation without a full deployment story behind it?

The assist-only stance, drafts prepared but a person always hits submit, seems like the right line to hold as more of this becomes agent-driven on both sides of the hiring process.

Nice execution and the developer docs are genuinely well written. I'll say the thing though. A tool holding my entire employment history and job search needs to be open source or at least source available, full stop. Self-hosting is the only real answer to the "what if you shut down" problem, exports are a consolation prize. The moment there's an AGPL repo I can run in my homelab, I'm your loudest advocate. Until then I'm rooting for you from the sidelines.

@solopa Interesting idea but you're asking people to hand an AI agent write access to literally their entire job search, salary expectations, work history, who they know at which company. That's some of the most sensitive data a person has, especially if they're searching while still employed. Where is this data stored, who can see it, do you train models on it, and what happens to it if JobCubby shuts down? Job search tools come and go fast so I'd want to know there's an export and delete story before putting anything real in there.

Coming at this from the other side of the table. Slightly terrifying to imagine candidates showing up with an AI that logged every interaction with me, follow-up timing optimized, my name saved as a contact with notes. The power balance in hiring has been tilted toward companies with ATSs for decades, so honestly, fair play. Just funny to watch the tooling arms race arrive at our doorstep.

@solopa Congrats on the launch! Looks clean. Honest question though, I've been tracking my job search in a Notion template for years and before that a spreadsheet, and tools like Teal and Huntr already do the tracker plus AI resume thing. What actually made you build another one? Is the MCP stuff the whole pitch or is there something in the core tracker that made you switch from whatever you used before?

Honestly the MCP server angle is kind of brilliant, I would love to see a salary negotiation prep mode built in. Like, have the AI help you benchmark offers, draft counter emails, and prep you for compensation conversations using data from the role and your tracked experience.

The MCP server angle is genuinely useful, I ran my whole search from Claude last week and it felt like having a personal assistant without the awkwardness of copy pasting. Cover letter drafts are solid, just need to tweak the tone a bit.

About JobCubby on Product Hunt

Run your job search like it's your job

JobCubby was submitted on Product Hunt and earned 22 upvotes and 15 comments, placing #26 on the daily leaderboard. JobCubby is a job-search command center: track every application from saved to offer, with AI that assists but never impersonates you — tailored cover letters, screening-answer prep, résumé feedback and interview practice. Unlike generic trackers, it has a built-in job feed and ships its own MCP server, so you can run your entire search from Claude or any AI assistant. Autopilot watches new postings and preps applications for you. Free to start.

JobCubby was featured in Hiring (15.4k followers), Artificial Intelligence (473.7k followers) and Career (2.1k followers) on Product Hunt. Together, these topics include over 122.4k products, making this a competitive space to launch in.

Who hunted JobCubby?

JobCubby was hunted by Pavel Solovev. 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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