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).
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Layer9
See how candidates think before the interview
Layer9 helps engineering teams assess candidates before technical interviews. It uses realistic work scenarios, adaptive follow-up questions, and changing constraints to evaluate technical reasoning. Instead of a single score, it produces an evidence profile with strengths, concerns, missing evidence, and targeted interview questions, while keeping hiring decisions with humans.
Hi Product Hunt,
We built Layer9 around a simple hiring problem: engineering teams often spend too much time interviewing candidates without enough evidence of how they actually think.
Layer9 sits before the technical interview. Candidates work through realistic technical scenarios with follow-up questions and changing constraints. Instead of producing only a score, Layer9 shows the reasoning evidence behind its assessment and suggests areas the interviewer should explore further.
We are starting with software engineering roles and keeping the final hiring decision with the human team.
We would especially like feedback from founders, CTOs, engineering leaders, and anyone involved in technical hiring.
What would you need to see in a candidate evidence report before trusting it enough to change who you interview?
About Layer9 on Product Hunt
“See how candidates think before the interview”
Layer9 was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #159 on the daily leaderboard. Layer9 helps engineering teams assess candidates before technical interviews. It uses realistic work scenarios, adaptive follow-up questions, and changing constraints to evaluate technical reasoning. Instead of a single score, it produces an evidence profile with strengths, concerns, missing evidence, and targeted interview questions, while keeping hiring decisions with humans.
On the analytics side, Layer9 competes within Hiring, Software Engineering and Artificial Intelligence — topics that collectively have 540.2k followers on Product Hunt. The dashboard above tracks how Layer9 performed against the three products that launched closest to it on the same day.
Who hunted Layer9?
Layer9 was hunted by Neel Varma. 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 Layer9 including community comment highlights and product details, visit the product overview.
Neel Varma