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Talentlo

Rank every candidate against each other, not just the JD

Hiring
SaaS
Artificial Intelligence
Visit WebsiteSee on Product Hunt

Hunted byPrince VishnoiPrince Vishnoi

Many AI screeners score each resume alone against the JD. Talentlo’s MARK model also compares every candidate with every other candidate, so you get a true relative ranking of your applicant pool. It remembers your JD context and tracks each candidate through the hiring process. Built for Indian SMBs and tech teams; data hosted on AWS Mumbai and Hyderabad, DPDP-aligned.

Top comment

Hey Product Hunt 👋 I’m Prince, co-founder of Talentlo. Before building this, I ran 200+ interviews with founders and recruiters. Same problem every time: “I got 300 resumes and still can’t tell who’s actually best.” Most screeners score each resume alone against the job description. A good hiring manager compares people to each other. That’s what MARK, our hiring model, does: Scores every candidate against the JD and against every other candidate, so you get a relative ranking Remembers your JD context and follows each candidate through the whole process Built for Indian SMBs and tech teams, hosted in India (AWS Mumbai and Hyderabad), DPDP-aligned MARK ranks, and your team makes the final call. What it can’t do yet: v1 evaluates resumes. Predicting hiring success from interview signals is next. I’d love blunt feedback: When you screen 100+ applicants, what do you wish the tool told you? What would you need to see before trusting an AI shortlist? I’m here all day and will reply to every comment 🙏

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About Talentlo on Product Hunt

“Rank every candidate against each other, not just the JD”

Talentlo was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #28 on the daily leaderboard. Many AI screeners score each resume alone against the JD. Talentlo’s MARK model also compares every candidate with every other candidate, so you get a true relative ranking of your applicant pool. It remembers your JD context and tracks each candidate through the hiring process. Built for Indian SMBs and tech teams; data hosted on AWS Mumbai and Hyderabad, DPDP-aligned.

Talentlo was featured in Hiring (15.5k followers), SaaS (44.9k followers) and Artificial Intelligence (481.6k followers) on Product Hunt. Together, these topics include over 200.6k products, making this a competitive space to launch in.

Who hunted Talentlo?

Talentlo was hunted by Prince Vishnoi. 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.

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