"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 ❤️
Choosing the right model is no longer just about “which LLM is smartest”- it depends on cost, latency, JSON reliability, and the exact workflow. I like that LLMTest tests against real AI flows instead of generic benchmarks. The fallback layer also feels especially useful for production apps. do you plan to show model performance drift over time?
Went through the flow after seeing it. The homepage is clean, the 3-step flow and pricing section do their job. But the signup page is off, full black background, no nav, no reminder of what you're getting into and there is no "no credit card needed" line. You go from a well-designed homepage to a form that feels like a different product. That moment right before someone types their email is where a lot of people reconsider. Small fix, but the signup page needs to carry some of the homepage's momentum into the form. The product itself looks solid.
The automatic fallback part is the strongest hook for me. Choosing the right model is useful, but making sure an AI feature does not break when a provider times out or returns bad JSON feels even more important in production.
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.
LLMTest was featured in API (98.2k followers), Developer Tools (513k followers) and Artificial Intelligence (469.3k followers) on Product Hunt. Together, these topics include over 175k products, making this a competitive space to launch in.
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.
Want to see how LLMTest stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tom Jacquesson