Revyl retweeted
.@supermemory is sponsoring the Consumer Mobile Hackathon at YC.
They're the memory layer behind consumer AI apps like @orchid_hq, ChatNow and PPL.
On Nov 15, come watch them give a talk on Memory and Continual Learning, and have them judge your projects live.
Agents can write code really fast now. The hard part is verifying it.
revyl build, builds your iOS, Android or web app on our cloud runners. Use that build in tests, workflows, coding agents through our CLI, or our SDK, and everything that runs lands in Atlas as a behavioral record of your app.
To make verifying cheap: code BUILDREVYL takes 90% off cloud builds for 12 months, for the first 1,000 orgs.
Revyl retweeted
Here's everything we shipped at @tryrevyl last week!
iPhone Duo support
Pixel support
Web testing
Free plans now have double the usage limits!
Revyl Weekly Recap
we just shipped Experiments in Revyl
turn on features before they're GA:
- faster computer use agent
- web apps
- Capy + Devin integrations
Settings → Experiments
Revyl retweeted
give @tryrevyl to your agents so they can see what they're doing and discover a completely new way to view your app and build more from there 🚀
Excited to launch alongside @SpaceXSI as part of their official partner network!
You can now use @tryrevyl directly inside @grok @build and @cursor_ai
Replying to @tryrevyl
@tryrevyl is critical infra for any mobile software factory
they have gotten so fast and reliable in the recent months too
If you are a mobile leader wanting to build your own software factory we would love to help!
@tryrevyl provides the infra required (bare metal, managed VMs, build runners, and cloud simulators) allowing you to own your data, context, harness and file system.
Zillow, Tinder, Whop, Novig and manymore have built systems ontop of Revyl
as models reach a stepwise increase in capabilities more and more, the runtime (the product actually running) is what matters more and more.
And as we increase the throughput of development by multiple orders of magnitude more and more you will have to have sytstems to be able to see the massive cardinality explosion of that runtime evidence
Revyl retweeted
Github is down so here is the latest @netflix app and some interesting screen variants
We see more and more people get rate limited by CI, alongside an increasing trend to move towards framework agnostic builds, to have more modularity and flexibility.
As verification becomes more and more important, the throughput of CI increases by multiple orders of magnitude.
Because we vertically integrate and own the entire stack, we can offset the cost to our customers.
For consumer apps the onboarding is one of the most important parts of the app.
As coding agents become more and more asynchronous, understanding the runtime, and asking questions regarding what the current source of truth becomes more and more useful.
Check out this onboarding of the Finch app!
If you could chat with your app, what would you ask it?
My favorite: "Compare this to Figma."
It pulls the screens observed from your app, connects to your design files, and builds a canvas to review every place they drift.
The possibilities for insight are endless.
Revyl retweeted
going back and forth on stale figma designs is a thing of the past
collaborating in real time against prod is the future
@suno mobile looking better than ever
At Uber, a huge problem was understanding what the actual runtime and product look like.
There were slight differences across different languages, different locations. And on top of that there were 3000 engineers all pushing changes that affected the product in many different ways.
Now with agents nearly every team faces this parallel, because of the vast amounts of code you can ship












