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).
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?
No comment highlights available yet. Please check back later!
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.
Layer9 was featured in Hiring (15.5k followers), Software Engineering (43.2k followers) and Artificial Intelligence (481.6k followers) on Product Hunt. Together, these topics include over 148.7k products, making this a competitive space to launch in.
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.
Want to see how Layer9 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Neel Varma