Use the right LLMs in your apps. Setup fallbacks. Be happy.
"OpenRouter + Intelligence" LLMTest helps devs and vibe coders automatically: ✅ Pick better models for AI-powered features (faster, cheaper, better, sometimes all 3 combined) ↪️ Automatically add fallbacks when LLM providers fail (API is overloaded or JSON format isn't respected) All through one single API and MCP functions so you can just tell Claude or Codex to optimize everything.
Hey PH!
I'm Tom and I created LLMTest to solve one of my own problems.
I was constantly trying to figure out which LLM models to choose to power AI features in my products.
So I was using OpenRouter and Claude to create custom webapps for each use case.
But all the tests were still "manual" and I had to decide for myself which of 300+ models I would end up using.
I thought others might be facing the same issue.
So I created LLMTest: an API and MCP server that lets anyone (coder or vibe coder) just run automatic tests on their own AI flows and pick winners. And I added automatic fallbacks so that even if an API is down or not returning a JSON like requested, my apps don't break in production.
To sum things up:
✅ One API. One invoice. 300+ models available, refreshed daily.
🤖 Ask Claude Code / Codex to optimize AI features using LLMTest
🏆 Use better, faster and/or cheaper models in your apps
↪️ Smart fallbacks: forget timeouts, overloads, and bad JSON output
💰 Pay per use. Start with $5. Top-up anytime.
I'd love to get your feedback on this ❤️
About LLMTest on Product Hunt
“Use the right LLMs in your apps. Setup fallbacks. Be happy.”
LLMTest launched on Product Hunt on May 25th, 2026 and earned 115 upvotes and 4 comments, placing #9 on the daily leaderboard. "OpenRouter + Intelligence" LLMTest helps devs and vibe coders automatically: ✅ Pick better models for AI-powered features (faster, cheaper, better, sometimes all 3 combined) ↪️ Automatically add fallbacks when LLM providers fail (API is overloaded or JSON format isn't respected) All through one single API and MCP functions so you can just tell Claude or Codex to optimize everything.
On the analytics side, LLMTest competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how LLMTest performed against the three products that launched closest to it on the same day.
Who hunted LLMTest?
LLMTest was hunted by Tom Jacquesson. 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 LLMTest including community comment highlights and product details, visit the product overview.
Tom Jacquesson