We automate tedious tasks. YC W23.

San Francisco/NYC/Seattle
Joined January 2023
You know what the biggest problem with pushing all-things-AI is? Wrong direction. I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes.
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Are you thinking about building your own LLM? Here's why you should (or shouldn't). pyqai.com/blog/why-organizat…
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Big thanks to @join_arc for the post demo day wine!
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optimize time to value: make sure users reach the “aha moment” in as little time & with as little effort as possible @pyq_ai achieves this with their interactive model zoo 🦙
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Quack quack
Welcome to YC, @alexandraj777, Georgia, and @RubberDuckyLabs! Rubber Ducky Labs helps e-commerce companies avoid tone-deaf product recs — like featuring ski jackets in June. It works by combining ML + human expertise to recommend the best products. ycombinator.com/launches/Hyi…
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here's what i've got so far: 📧 emails: resend.com 🔑 secrets management: @infisical 🤖 mlops: @pyq_ai ... and as usual, it's a simple @supabase @nextjs @vercel stack ⚡️
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Recommender systems fans - go check this out!
Stop recommending ski jackets in June! Rubber Ducky Labs (@ycombinator W23) builds better recommender systems with ML + human expertise, and it's bring-your-own-model. 🙏 Looking to meet other folks working on recommender systems - intros appreciated! ycombinator.com/launches/Hyi…
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Recently launched 🚀 @pyq_ai makes it easy for developers to build features powered by AI. 💻 MLOPs Made Easy 💰 Scale at a Reasonable Price 💪 Designed for big models Founded by @araghuvanshi2 & Emily Dorsey + backed by @ycombinator (W23) tryfondo.com/blog/pyq-launch…
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Pyq AI retweeted
More I use flan-t5, more I realize Google has given us something very powerful Best to think of it as a smaller model that can be specialized, won't do everything out of the box Training multiple flan-t5s and coordinating them for a larger task is the way
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