This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
CV Cat
Turn a pile of CVs into a searchable candidate database.
Upload PDFs, DOCX files or email attachments in bulk. CV Cat uses AI to extract candidate information, detect duplicates, and turn every CV into a structured, sortable, filterable and searchable candidate database. Create hiring lists, keep track of applicants across roles, and manage your recruitment pipeline without manually opening, reading and copying information from every resume. Free for a limited time until the end of October 2026.
I started solo. When I first started hiring, one of my job posts got bumped and suddenly I had hundreds of CVs coming in.
I had no good way to screen them.
Applications kept arriving. Some candidates were clearly good, but maybe too expensive for me to hire today. Others might be a better fit for a future role. I didn’t want all of that information to disappear into a folder full of PDFs.
What I really needed was one candidate database.
So I built CV Cat.
You just drag and drop PDF or DOCX CVs. No setup, no complicated workflow. CV Cat extracts the information and turns every CV into a structured candidate record.
Then I can actually work with the data:
- Sort candidates by experience - Filter by expected salary - Check is their Github link empty 😂 - Keep good candidates for future roles - Track hiring without repeatedly opening up and reading the same CVs
It’s deliberately simple.
Drop in CVs → get a usable hiring web-based database.
Works cross-device - mobile and desktop. Remember your candidate anytime, anywhere.
That’s CV Cat.
About CV Cat on Product Hunt
“Turn a pile of CVs into a searchable candidate database.”
CV Cat was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #49 on the daily leaderboard. Upload PDFs, DOCX files or email attachments in bulk. CV Cat uses AI to extract candidate information, detect duplicates, and turn every CV into a structured, sortable, filterable and searchable candidate database. Create hiring lists, keep track of applicants across roles, and manage your recruitment pipeline without manually opening, reading and copying information from every resume. Free for a limited time until the end of October 2026.
On the analytics side, CV Cat competes within Hiring, Artificial Intelligence and Startup Lessons — topics that collectively have 501.3k followers on Product Hunt. The dashboard above tracks how CV Cat performed against the three products that launched closest to it on the same day.
Who hunted CV Cat?
CV Cat was hunted by Pursuit Li. 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.
For a complete overview of CV Cat including community comment highlights and product details, visit the product overview.
Pursuit Li
Hey Product Hunt 👋
CV Cat actually came from my own pain point.
I started solo. When I first started hiring, one of my job posts got bumped and suddenly I had hundreds of CVs coming in.
I had no good way to screen them.
Applications kept arriving. Some candidates were clearly good, but maybe too expensive for me to hire today. Others might be a better fit for a future role. I didn’t want all of that information to disappear into a folder full of PDFs.
What I really needed was one candidate database.
So I built CV Cat.
You just drag and drop PDF or DOCX CVs. No setup, no complicated workflow. CV Cat extracts the information and turns every CV into a structured candidate record.
Then I can actually work with the data:
- Sort candidates by experience
- Filter by expected salary
- Check is their Github link empty 😂
- Keep good candidates for future roles
- Track hiring without repeatedly opening up and reading the same CVs
It’s deliberately simple.
Drop in CVs → get a usable hiring web-based database.
Works cross-device - mobile and desktop. Remember your candidate anytime, anywhere.
That’s CV Cat.