Tired of AI guesswork? RagMetrics lets you evaluate your LLMs in real time, benchmark performance, and share results-no manual effort,no fluff, just clear metrics.
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Maker
📌
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? Painfully slow and inconsistent.
So we built LLM Judge — the best LLM evaluator on the market (yes, we said it 😎)
Here’s what it does:
🧠 Define KPIs that matter – Not just generic metrics, but ones tied to your product’s success
⚖️ Benchmark standalone models – Evaluate GPT-4, Claude, open-source models, or your own side-by-side
🔁 Assess full pipelines – Measure your value-add vs. base model performance
📈 Prove ROI – To your users, your team, and your investors
No more guesswork, no more manual evaluations. Just clear insights you can act on.
🎉 For the amazing Product Hunt community, we’re offering early access and free evaluations during launch week only!
We’d love your thoughts on how to make model evaluation smarter and more practical — let’s raise the bar together 💡
Thanks for checking us.
Lookverse.ai
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?
@manu_goel2 you can access our free version using this link: https://ragmetrics.ai/accounts/freeuser/index