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).
Judgie-AI
Multi-persona AI panel for code reviews & event evaluation
Judgie-AI is an open-source AI evaluation platform. Instead of a single score, it uses 5 expert AI personas (Entrepreneur, Engineer, UX Designer, PM, VC) to review projects from multiple angles. Features: - Multi-persona panel: Balanced & diverse reviews - Mid-event coaching: Tracks team growth with charts - "Objection!" feature: Re-deliberation loop - Admin AI chat: Q&A using source code - Bilingual & Custom Templates Deployable to Railway in minutes.
I’m Yosuke Suzuki, Engineering Manager at Money Forward.
The Problem: It all started when I was asked to judge an international internal hackathon. As a non-native English speaker, I dreaded the pressure of evaluating complex code, watching pitch videos, and writing meaningful, detailed feedback—all under a tight deadline and completely in English. I was terrified that my language barrier would compromise the quality of the judging.
The Solution: I decided to hack the judging process itself and built Judgie-AI. I realized that looking at a project through a single lens isn't enough. So, I built a panel of 5 distinct AI personas—a serial entrepreneur, principal engineer, UX designer, senior PM, and a VC investor. They don't just score; they generate multi-angle, bilingual feedback.
At the actual event, participant satisfaction averaged 4.62/5, and organizers rated it 4.67/5 for reducing judging burden. More importantly, it evolved from a mere "scoring machine" into a growth accelerator, helping teams iteratively improve their ideas during mid-event招consultations.
Going Global & Beyond Hackathons: Realizing this was a universal challenge, I resolved the initial session management issues, rebuilt the UI, and released it as a robust OSS platform. Plus, it’s no longer just for hackathons—via JSON templates and GitHub Gist integration, you can easily load custom personas for startup pitches, hiring, or architecture reviews.
You can deploy it to Railway in just a few minutes. I would love to hear your thoughts, feedback, and what kind of evaluation templates you would build with it!
Let's change how we evaluate and accelerate project growth together! 🚀⚖️
Curious how the 5 personas actually debate with each other under the hood, is it a fixed orchestration or can teams tune the discussion rounds and which persona leads the objection loop?
The five-persona debate setup is a clever way to surface blind spots a single reviewer would miss, and the objection loop caught a real flaw in my test project. Nice touch with the growth tracking charts for mid-hackathon coaching.
Curious how the five personas stay on track when they start disagreeing, is the deliberation loop fully visible to the team or just the final outcome?
About Judgie-AI on Product Hunt
“Multi-persona AI panel for code reviews & event evaluation”
Judgie-AI was submitted on Product Hunt and earned 5 upvotes and 7 comments, placing #99 on the daily leaderboard. Judgie-AI is an open-source AI evaluation platform. Instead of a single score, it uses 5 expert AI personas (Entrepreneur, Engineer, UX Designer, PM, VC) to review projects from multiple angles. Features: - Multi-persona panel: Balanced & diverse reviews - Mid-event coaching: Tracks team growth with charts - "Objection!" feature: Re-deliberation loop - Admin AI chat: Q&A using source code - Bilingual & Custom Templates Deployable to Railway in minutes.
Judgie-AI was featured in Open Source (68.6k followers), Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 218k products, making this a competitive space to launch in.
Who hunted Judgie-AI?
Judgie-AI was hunted by Suzuki Yosuke. 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 Judgie-AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Suzuki Yosuke
Hi Product Hunt community! 👋
I’m Yosuke Suzuki, Engineering Manager at Money Forward.
The Problem:
It all started when I was asked to judge an international internal hackathon. As a non-native English speaker, I dreaded the pressure of evaluating complex code, watching pitch videos, and writing meaningful, detailed feedback—all under a tight deadline and completely in English. I was terrified that my language barrier would compromise the quality of the judging.
The Solution:
I decided to hack the judging process itself and built Judgie-AI.
I realized that looking at a project through a single lens isn't enough. So, I built a panel of 5 distinct AI personas—a serial entrepreneur, principal engineer, UX designer, senior PM, and a VC investor. They don't just score; they generate multi-angle, bilingual feedback.
At the actual event, participant satisfaction averaged 4.62/5, and organizers rated it 4.67/5 for reducing judging burden. More importantly, it evolved from a mere "scoring machine" into a growth accelerator, helping teams iteratively improve their ideas during mid-event招consultations.
Going Global & Beyond Hackathons:
Realizing this was a universal challenge, I resolved the initial session management issues, rebuilt the UI, and released it as a robust OSS platform. Plus, it’s no longer just for hackathons—via JSON templates and GitHub Gist integration, you can easily load custom personas for startup pitches, hiring, or architecture reviews.
You can deploy it to Railway in just a few minutes. I would love to hear your thoughts, feedback, and what kind of evaluation templates you would build with it!
Let's change how we evaluate and accelerate project growth together! 🚀⚖️