Hello @everyone! We've got some new
Hello @everyone! We've got some new things for you to play with today. 🎮
:xzibit: Convex in your TanStack Query
Yo dawg, I heard you liked TanStack Query so we put Convex queries in your TanStack Query so you can query while you query.
I’m sure Xzibit would have said that more eloquently.
We’re working with the TanStack team to bring all the Convex goodness to TanStack. You can now call Convex functions directly from TanStack/React Query. Try it out, and please give us feedback on discord!
Take it for a spin
↩️ Revokable Deploy Keys
You can now keep track of and revoke your deploy keys in the Convex dashboard. So if you inadvertently published your key to Github you can just go to the dashboard and revoke access to that key. Old style keys will keep working. But we highly recommend you switch any scripts and CI/CD tooling to the new keys.
Read more
🤝 Yes, Convex can do that!
Convex is the fastest, easiest way to bring your app ideas to life. There is now a single page with solutions and patterns for common requests.
Check it out
🗺️ Self-Hosting documentation
We added a guide for self hosting the open source binary executable. As always, we recommend using our cloud product so you can focus on building your application instead of wrangling infrastructure.
Read the Guide
🦾 ARM Linux build for Convex Open Source
ARM is taking over all of computing. So for all of you that want to self-host Convex on ARM Linux machines like Graviton, we’ve got just the build for you.
Get the latest build
Read the full post
3 Replies
The Tanstack Query adapter is a replacement for the convex-helper query right? Are there other benefits besides having a more familiar api?
@ballingt can give you a more complete answer. But yeah, instead of the helper that "looks like TanStack" you can just use TanStack directly. These are ergonomics people are familiar with.
This lays the groundwork for more stuff to come: https://x.com/convex_dev/status/1816637195459133787?t=hvhUQ2lqU2o54jmaGXzyrA&s=19
Convex (@convex_dev) on X
Super hyped to announce we're a sponsoring partner with TanStack Start! Amazing team, amazing project, and we're integrating deeply.
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The difference is that it's real TanStack Query so you get its query cache management. For Convex queries and mutations this doesn't matter, but if you're making other network calls or using a Convex action to read data this can be pretty useful.