Model-agnostic AI Chat Application Unlock the power of modern AI models with LensQuery. Choose your favorite model and play around.
Model-agnostic AI chat application
Model-agnostic AI Chat Application Unlock the power of modern AI models with LensQuery. Choose your favorite model and play around.
Hey ProductHunt community! 🚀 I'm thrilled to introduce my very first solo project - LensQuery. After a month of tireless work and dedication, the application finally came! **🔍 What's LensQuery?** Think of it as your pocket expert that amplifies your curiosity. See something interesting? Just snap it! Want to know more about it? Choose your favorite AI model and let's chat. **Key Features:** - **Model-agnostic Approach:** Empower your experience by choosing your preferred AI model at the best pri
See how quick, easy, and powerful AI can be used in customer service applications. LensQuery sounds like an interesting tool for customer service applications. I'm looking forward to seeing how quickly and effectively AI can be used.
Wow, congrats on your launch and the hard-work. Thank you
Congrats on the launch! It seems this is focused on lens/image recognition, very cool. A few notes since you mentioned feedback: - Buttons under "If you don't want to use our backend, you can use your own API key as the instruction below." dont appear/load correctly for me. I can't quite see them. - I see 'Model-agnostic Approach' and read the FAQ on it, but I'm still not super clear of what models haha. I think logos would really help here, and maybe even a feature table. e.g. It seems I can us
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.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
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.