CVer
An AI agent that finds jobs matched to your CV, applies on your behalf after you approve, and adds confirmed interviews to your calendar.
AI & Machine Learning·Productivity·HR & Recruiting
What is CVer?
CVer is an AI job search tool that brings opportunities from dozens of job boards and company career pages into one place. It analyzes your experience, skills, and preferences, then finds roles that fit your profile. Its page lists 28 job sources and says it works with employers in 75 countries.
CVer is aimed at job seekers who want to spend less time on repetitive applications and more time preparing for interviews. Users complete a profile, add their CV, and say what they want next. The agent then surfaces matching opportunities, and the user chooses which ones to pursue.
After you approve an opportunity, CVer's agent opens the employer's website, fills in the application form with your details and a tailored CV, and submits it. It can also tailor your CV to each role and export a role-specific PDF while keeping your original. It handles recruiter email conversations, identifies confirmed interview times, and adds them to your calendar with the meeting link. Matches can also be sent to Telegram.
What sets it apart is that the agent starts only after you approve each opportunity, so the job search stays under your control while the routine work is handled for you.
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What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
choose a collection of things a collections of ideas that you can and want to live up to when you're presenting yourself online and consistently show up as that person you'll find that authenticity here is a consequence and not just a prerequisite
Earn authenticity through consistency, not declaration
You don't start authentic and then post — you post consistently and authenticity gets retroactively assigned to you. Define the 3-5 ideas you'll show up for, then ship against them daily for a year before judging whether it's working. The label "authentic" is the byproduct of repetition, not the input you need before pressing publish.
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Pick your monetization niche by sponsor math
When sponsorships are the path to revenue, run a sponsor-TAM test before you pick your topic. A B2B job-title niche (marketers, devs, founders) has buyers already spending money on access; a vague psychographic niche ("burnt-out type-A people") doesn't. Lead with the lucrative niche to fund the business, then layer the passion topic on top once cash flow is stable.
There's a play for whatever you're stuck on.
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