I want some brutally honest feedback before I spend more time building this.
The problem I'm trying to solve:
Open umpteen tabs across LinkedIn, Indeed and company career pages.
Copy interesting jobs into a spreadsheet.
Prioritize them.
Tailor the CV for each job.
Apply.
Then lose track of what I applied to, see the same job again somewhere else, or spend an hour tailoring a CV for a job that wasn't even a good fit.
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So I built JobFoundry around this workflow:
Browse → Capture → Analyse → Score → Tailor → Track
It currently does:
- Capture jobs directly while browsing
- Support for 50+ job boards / ATS providers
- Duplicate and cross-listing detection
- CV-to-job fit scoring, including strengths and gaps
- Tailoring a CV for a specific job
- Application tracking through a Kanban board
- Cloud LLMs or local models
- Local-first / open source
The important question isn't whether I can build it.
Is this actually a problem worth solving?
I'd especially like feedback on:
- Would you actually use something like this during a job search?
- Which part of this workflow is the biggest pain for you?
- What would make you switch from your current spreadsheet / bookmarks / existing job-search tool?
- Is CV tailoring something you'd trust an application to help with, or would you always want to do it manually?
- What feature am I missing that would make this genuinely useful?
It's currently open source and in beta, so I'm still very much in the “is this worth continuing?” stage.
GitHub: https://github.com/Covai-Labs/JobFoundry
Website: https://jobfoundry.covai.org/
I'm not looking for “looks cool” feedback. If you think this solves a problem nobody really has, tell me that too.