quave

Your end-to-end technology partner. Design, product, development & cloud.

[quave @quaveDev]

the other 7 · deployment, auth, secrets, database, payments and webhooks, cost and scaling, incident response.

what good looks like for each ·

[quave @quaveDev]

4/ metrics. one server chart, one business chart. an afternoon.

cpu graph isnt enough. "signups per hour" is the chart that matters.

[quave @quaveDev]

end of the week · the kind of observability most Series A companies dont have.

works on top of lovable, replit, bolt, cursor · whatever you shipped with.

one category covered. seven to go.

[quave @quaveDev]

the other 7 · deployment, auth, secrets, database, payments and webhooks, cost and scaling, incident response.

what good looks like for each ·

[quave @quaveDev]

shipping an AI-built app to production · 8 categories.

start with monitoring. here's the order, and how long each layer actually takes.

one layer is enough to start. all five in a week.

[quave @quaveDev]

end of the week · the kind of observability most Series A companies dont have.

works on top of lovable, replit, bolt, cursor · whatever you shipped with.

one category covered. seven to go.

[quave @quaveDev]

the other 7 · deployment, auth, secrets, database, payments and webhooks, cost and scaling, incident response.

what good looks like for each ·

https://t.co/pVrNHgbpsH

[quave @quaveDev]

shipping an ai-built app to production has 8 categories.

start with monitoring · here's how, in the order to actually ship it.

one layer is enough to start. all five in ~2 days.

[quave @quaveDev]

end of the week · the kind of monitoring most funded startups dont have.

works on top of lovable, replit, bolt, cursor · whatever you shipped with.

one category covered. seven to go.