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CandiData
AI LinkedIn extraction ATS PDFs and candidate match scores
CandiData is a lightweight Chrome extension that streamlines candidate sourcing on LinkedIn. Extract structured profiles into Smart PDFs, CSV, or JSON with one click—no manual copy-pasting or bulky ATS tools. Its Smart Match engine analyzes job descriptions and instantly provides an AI-powered candidate compatibility score. Built for recruiters and talent teams to accelerate screening with less admin.
Hi Product Hunt community! 👋
I am Franco, a solo developer from Spain. I built CandiData because I noticed recruiters and headhunters were spending hours every day copy-pasting LinkedIn profiles, formatting CVs, and manually evaluating candidate fit for their open roles.
CandiData was created to eliminate that administrative noise. With a single click, it turns any profile into a clean, ATS-ready Smart PDF and gives you an instant AI Match Score based on your vacancy requirements.
We are currently in Public Beta and I am giving away 100% FREE PRO access to the entire Product Hunt community in exchange for your honest feedback, critiques, and ideas.
I would love to hear your thoughts: What is your biggest headache when sourcing talent? Let me know in the comments!
About CandiData on Product Hunt
“AI LinkedIn extraction ATS PDFs and candidate match scores”
CandiData was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #47 on the daily leaderboard. CandiData is a lightweight Chrome extension that streamlines candidate sourcing on LinkedIn. Extract structured profiles into Smart PDFs, CSV, or JSON with one click—no manual copy-pasting or bulky ATS tools. Its Smart Match engine analyzes job descriptions and instantly provides an AI-powered candidate compatibility score. Built for recruiters and talent teams to accelerate screening with less admin.
On the analytics side, CandiData competes within Chrome Extensions, Productivity and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how CandiData performed against the three products that launched closest to it on the same day.
Who hunted CandiData?
CandiData was hunted by Franco Giner. 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 CandiData including community comment highlights and product details, visit the product overview.
Franco Giner