I am building SupaGuard. I am a software engineer and have been deeply involved in production observability for quite some time.

The Problem

I found out that Real User Monitoring (RUM) is the one that lets us down the most when we are in need of help. Taking an example, if a deployment at 7 PM breaks the login flow but no one tries to log in until 11 PM, then the system is operating blindly for more than 4 hours. Metrics might be showing that everything is fine, but in reality, the product is functionally broken.

The Solution

I am making SupaGuard to address only these kinds of pain points. It is an AI-native continuous synthetic monitoring platform that aims at locating those silent functional failures which do not generate any noise.

Key Features:

AI Test Generation: A browser agent goes through your app, automatically discovers critical flows and hence generates Playwright scripts along with assertions.

Smart Retries: To handle flakiness, when a test fails in a certain location (e.g. US East), it will try to rerun the test in another location (e.g. EU) immediately and only if the follow-up fails will it send the alert.

Non-Binary Alerting: It is not only "down" that is checked. The system grades performance degradation and identifies functional failures impact-wise.

Pricing

I am figuring out a better pricing model that will still be affordable and user-friendly at the same time. Suggestions are welcome.

Status

I am still in the process of product development and you can sign up for a waitlist if you'd like to be the first to know when it's ready.

The URL is https://supaguard.app/

I would be very happy to get your feedback regarding the concept and the features that I am prioritizing. Thanks!