From a while back but I worked on this prototype that had me really giddy. With a click of a button, you can speed up a query to have sub-ms latency Really excited about what we're building at Readyset

Sign up for early access to ReadySet Cloud, learn about our latest release, and see what some amazing community members have been up to in our latest Product Update blog.readyset.io/november-produ…

Want to try out ReadySet in 5 min or less? Easy. Just run: bash -c "$(curl -sSL launch.readyset.io)" Read the full product announcement here: blog.readyset.io/introducing-th…

Wanna kick the tires w/ ReadySet in 5 min or less? Run: bash -c "$(curl -sSL launch.readyset.io)"

Lots of updates from Readyset⚡ •Readyset Cloud is now available for AWS Postgres •Try Readyset by running a single command •New Readyset Rails Gem that makes caching queries a breeze •We now distribute Readyset binaries and Debian packages blog.readyset.io/january-produc…

Cool to see Alana Renda (Marzoev) 's Readyset getting some recognition. This tech is still really early but has so much potential to make speeding up the database feel like magic. 🚀

caching can be really helpful to reduce backend load, but cache invalidation is famously one of the hard problems in CS enter readyset.io - a cache that is **always in sync** with postgres, so you don't need to invalidate stale data 😮

Streaming dataflow provides a unique solution to scaling OLTP applications. Want to learn how? Founder and CEO of Readyset, Alana Renda (Marzoev), will be giving a talk on this subject at QCon London Software Development Conference on Tuesday, April 9th at 10:35AM BST! Learn more: qconlondon.com/presentation/a…

✈️ 🦙 Heading to COLM through Thursday! We’re hiring ML researchers at Jane Street for intern and full time roles, as well as supporting grad students through our fellowship program — DM me or stop by the JS booth if you want to chat about what we’re doing with ML @ JS!

Bonjour from Montreal 🇨🇦 spending the next few days here @ COLM! DM me if you’re around and want to chat about research or non-research topics, including but not limited to: reasoning under uncertainty, forecasting, summarization/RAG, and startups

Dr. GRPO paper was presented at Conference on Language Modeling today, and it's a great read: arxiv.org/pdf/2503.20783 If I had a nickel for every time someone found a bug in a core ML algorithm, I would have at least two nickels

👉 New preprint! We have lots of great benchmarks for tasks where it's possible, in principle, for models to get all the answers exactly correct. But what about tasks that *intrinsically* require reasoning about uncertain facts and quantities?