Applyed helps job seekers track applications, interviews, and STAR stories in one workspace. Add roles manually or with AI parsing, keep job descriptions and notes together, and stay organized from first application to offer.
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Maker
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I built Applyed because I wanted a job-search tool that helps without trying to do everything with AI.
Today, employers and their tools are much better at spotting generic, AI-generated content, so authenticity matters more than ever.
While Applyed does use AI in a few places, like parsing a job description, I wanted the core experience to stay human, simple, and useful: track applications, prepare for interviews, and keep everything you need in one place.
The goal was to make job searching easier without losing your own voice.
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A nice clean take on application tracking. One thing I'd love to see is a follow-up reminder system, like nudging me to ping a recruiter or send a thank-you note a few days after an interview. That step always slips through the cracks for me, and it would make this tool genuinely useful beyond just logging.
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Maker
@irmak2070596 thank you so much for the feedback and this is a great idea!
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Curious how the AI parsing handles job descriptions from sites like LinkedIn or Greenhouse — does it pull in the full posting automatically or just the basics like title and company?
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Maker
@eyllnpd0 Great question. We try to pull the full readable job posting from a public job URL, not just the title and company. If a page is gated or blocks scraping, we fall back to pasted JD text so you can still save the full role context.
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Nice clean setup and the AI parsing actually pulled the right details from a pasted job post. Liked having the STAR stories tied to each application instead of buried in a separate doc.
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Does the AI parsing work directly from a job board link, or do I need to copy/paste the description each time?
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Maker
@buketkebabqs65 You can usually use a public job board link directly from sites like Linkedin and Indeed. The app will try to read the full job description from the URL first, and if the page is gated or can’t be parsed, you can paste the description text instead.
Replies
A nice clean take on application tracking. One thing I'd love to see is a follow-up reminder system, like nudging me to ping a recruiter or send a thank-you note a few days after an interview. That step always slips through the cracks for me, and it would make this tool genuinely useful beyond just logging.
@irmak2070596 thank you so much for the feedback and this is a great idea!
Curious how the AI parsing handles job descriptions from sites like LinkedIn or Greenhouse — does it pull in the full posting automatically or just the basics like title and company?
@eyllnpd0 Great question. We try to pull the full readable job posting from a public job URL, not just the title and company. If a page is gated or blocks scraping, we fall back to pasted JD text so you can still save the full role context.
Nice clean setup and the AI parsing actually pulled the right details from a pasted job post. Liked having the STAR stories tied to each application instead of buried in a separate doc.
Does the AI parsing work directly from a job board link, or do I need to copy/paste the description each time?
@buketkebabqs65 You can usually use a public job board link directly from sites like Linkedin and Indeed. The app will try to read the full job description from the URL first, and if the page is gated or can’t be parsed, you can paste the description text instead.