Building with LLMs? Prove your product works.LLM Judge helps you define what “good” looks like, then runs the tests automatically—saving you time and giving you instant insights you can share with users, teams, or investors.
From Guesswork to Ground
Building with LLMs? Prove your product works.LLM Judge helps you define what “good” looks like, then runs the tests automatically—saving you time and giving you instant insights you can share with users, teams, or investors.
Hey everyone 👋 I’m Oliver, Co-founder of LLM Judge, and I’m excited to share what we’ve been building with you — an automated way to evaluate LLMs and prove real value to your users and investors 🚀 A while back, while building AI-driven products, we kept hitting the same wall: How do you actually measure how well your models perform in real-world use cases? Sure, there are metrics like BLEU, ROUGE, or accuracy — but they rarely reflect what users care about. And manually testing outputs? Painful
Congrats on the launch! This is a super cool product - measuring real model performance is one of the hardest parts, and it’s what makes progress feel real. Especially useful now that so many LLMs are available!
Is there a standard evaluation criteria?
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.