01
Watch the failure surface
Stripe webhooks, latency spikes, and missing heartbeats land in one response board with thresholds founders can actually understand.
Incident communication for founder-led products
The status page that writes the update before your customers ask.
Upwise watches Stripe failures and latency spikes, drafts the incident note, alerts Slack, and ships the recovery post when things settle down. Fewer tabs. Fewer hand-written apologies.
First update target
< 60s
Customer channels
Status + email
Internal routing
Slack-ready
Live response board
Incident to customer-ready update in one pass
Monitoring
Upwise response streamlive
Status page draft
Payments are failing for some customers
We traced the issue to expired cards and retry failures in our billing flow. Existing sessions remain healthy while we process recovery attempts.
Customer email
Subject: Your payment needs attention
We detected a failed renewal attempt and are retrying the charge. If the payment still fails, you will receive the exact next step instead of a generic outage notice.
Shift handoff
- Slack alert includes incident scope and customer segment.
- Resolution post inherits the same timeline automatically.
- Support sees the public language before tickets spike.
Median first update target 48 seconds
Response flow
Built for the fifteen messy minutes after something breaks.
Upwise is not another passive status page. It is the layer that turns a raw alert into a publishable explanation while the technical work is still happening.
02
Draft the public update
Upwise turns the metric into a clean status-page post and a customer email before your team starts tab-hopping.
03
Route the internal signal
Slack gets the same incident context your customers see, so support and engineering stop improvising different stories.
04
Publish the recovery
When the metric normalizes, the resolution notice goes out with the duration, impact window, and what changed.
Failure modes
Catch the incidents founders actually have.
The first release is opinionated on purpose. It focuses on the signals most likely to create confused support queues and churn: billing trouble, slow product surfaces, and jobs that quietly stop.
Monitor
Stripe failures
Card expirations, payment retries, webhook errors, and refund spikes.
Monitor
Slow APIs
Latency thresholds that catch the bad hour before a social thread does.
Monitor
Silent outages
Heartbeats and jobs that stop moving without throwing obvious errors.
Included
Status updates that sound human
Drafted with enough specificity to calm customers, not with vague “we’re investigating” filler.
Included
One canonical incident timeline
Alerts, public updates, and recovery notices stay synced so teams stop rewriting the same message three times.
Included
Built for tiny ops teams
Upwise is aimed at founder-led products where the person on call is also shipping code and answering support.
Included
Private beta onboarding
Early accounts get help wiring the first monitors, templates, and customer-facing language.
FAQ
Designed for the awkward edge between observability and trust.
What does Upwise monitor first?
The beta focuses on Stripe payment failures, API latency breaches, and heartbeat-style availability checks. That keeps the first incident playbooks tight and useful.
Does it replace a full observability stack?
No. It sits between your detection layer and your customer communication layer, turning a bad signal into a credible update fast.
Who is the beta for?
Solo founders and small product teams that need customer-visible incident communication without hiring a full reliability function.
Private beta
Join the founders who want incident comms handled before support catches fire.
Tell us what you monitor today and we will prioritize the first monitors, templates, and alert thresholds around your stack.