LangWatch is the ultimate platform for LLM performance monitoring and optimization. Streamline pipelines, analyze metrics, evaluate prompts, and ensure quality. Powered by DSPy, we help AI developers ship 10x faster with confidence. Create an account for free.
Hello Product Hunters!! 🚀
I’m Manouk, co-founder of LangWatch. You may haven't heard from us in a while, but trust me—you’ll love this new ProductHunt launch. We’ve been listening and have solved your biggest pain points in building LLM applications. 🥁 And the best part? We have opened-up the access to all users.
We’re thrilled to be live on Product Hunt today with our biggest release yet: LangWatch Optimization Studio!
After building our powerful Monitoring & Evaluation platform, there was still a major pain point you shared with us. So, we solved it:
This new feature takes LLM development to the next level, solving the most frustrating challenges teams face when optimizing LLM pipelines and ensuring top-tier performance.
With the newest Optimization Studio, you can:
⚡ Evaluate & Optimize: Experiment different prompts and LLM-models automatically in seconds (with DSPy)
🧠 Custom Evaluations: Build tailored evaluations and bring them back to your real-time monitoring.
🔄 Seamless Deployment: Confidently push optimized prompts/few-shot examples and pipelines into production.
A few highlights of LangWatch:
🌟 Observability: Monitor LLM performance, latency, costs, and quality.
📊 User-Analytics: Deeply understand what docs of your RAG are mostly used and topics discussed.
👩💻 Evaluations: Run evaluations to control for hallucinations or other criteria you care about real-time.
✏️ Prompt Management: Version, tweak, and deploy prompts directly from LangWatch.
🔬 Datasets: Build datasets of non-performing traces and start improving.
🐒 API: All analytics and features available per API.
🌍 Open Source: Join our growing community on GitHub to collaborate and contribute.
Get started today:
⭐ GitHub: https://github.com/langwatch/lan...
📖 Docs: https://docs.langwatch.ai/
⏯️ Live Training Today: https://lu.ma/um4owj65
If you're already a fan of DSPy, we'd love to hear about what you've built and explore how we can support you even more!
A big thanks to the PH community for all your feedback and support. We’re here all day and can’t wait to hear your thoughts, questions, and feedback!
Cheers,
Manouk
Great launch! Amazing to see you moved so quickly to this product! Keep up the good work!
Congrats on launching LangWatch! Looks like an awesome tool to help AI developers work smarter and faster. Wishing you lots of success!
Already loved using your product, but this optimization feature is such a cool and useful new addition! I'm pretty good at crafting powerful prompts myself (if I may say so) but getting those final finishing touches right is not the kind of work I enjoy spending hours on. This looks like it's gonna save a lot of LLM developers a lot of hours - and I LOVE saving hours. Great job @manouk_dr @rchaves & the rest of the LangWatch team!
Have worked with DSPy before, very curious towards how you guys are doing this..
How do I build a custom evaluation?
If you are an AI engineer in the industry for a while, you know that handling quality is the biggest challenge for developing with LLMs, and we are here to change that, we promise you won't regret trying it out!
We've been head on working with AI engineers on the best way to guarantee LLMs behave as you want, that you can measure what quality means, experiment super fast and then use the DSPy optimizers to automatically find that prompt that will maximize the quality.
Excited to be live on Product Hunt with the Optimization Studio, we think you are going to love it.
Hit me up for any questions on the product!
Really enjoyed working on this project, still a lot to offer. We will keep on adding to it, as the use cases are really infinite!!
This is exactly what LLM developers need! 🎯 The RAG context tracking feature is especially interesting. How granular can we get with the custom evaluations for production monitoring?
Working with LLM's daily, I welcome solutions to help with Quality Assurance and Testing. Nice job!
About LangWatch Optimization Studio on Product Hunt
“Evaluate & optimize your LLM performance with DSPy”
LangWatch Optimization Studio launched on Product Hunt on December 19th, 2024 and earned 214 upvotes and 25 comments, placing #6 on the daily leaderboard. LangWatch is the ultimate platform for LLM performance monitoring and optimization. Streamline pipelines, analyze metrics, evaluate prompts, and ensure quality. Powered by DSPy, we help AI developers ship 10x faster with confidence. Create an account for free.
LangWatch Optimization Studio was featured in Open Source (68.3k followers), Developer Tools (511k followers), Artificial Intelligence (466.2k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 182.4k products, making this a competitive space to launch in.
Who hunted LangWatch Optimization Studio?
LangWatch Optimization Studio was hunted by Manouk Draisma. 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.
Reviews
LangWatch Optimization Studio has received 4 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
Want to see how LangWatch Optimization Studio stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Manouk Draisma