Their Pitch
The future of debugging is AI error resolution.
Our Take
It's a crash detective for your apps. Watches 24/7 and tells you exactly what broke, why, and which users got hit — without you having to dig through logs at 3am.
Deep Dive & Reality Check
Used For
- +**Your React app crashes on mobile Safari and you have no idea why** → Get the exact error, stack trace, and which users were affected in real-time
- +**Page loads are slow but Google Analytics just shows you averages** → See actual user sessions with replay footage of where people got stuck
- +**New deployment silently broke checkout for 200 users** → Automatic alerts link crashes directly to the Git commit that caused them
- +AI groups thousands of duplicate errors into 3 actual issues - no more alert spam at 2am
- +Session replays show you exactly what users clicked before everything exploded
Best For
- >Your deploys keep breaking things and you find out from angry users instead of alerts
- >Spending hours debugging crashes with zero clues about what actually happened
- >Your team is big enough that unlimited seats beat per-user pricing on other monitoring tools
Not For
- -Solo developers or tiny teams — $40/month minimum with no free tier is overkill for side projects
- -Companies wanting passive monitoring without code changes — you need to install tracking code in your app
- -Teams already happy with basic logging — this is for when logs aren't enough and you need the full detective story
Pairs With
- *PagerDuty (where the 3am alerts actually go so someone gets woken up to fix things)
- *GitHub (to see which specific code commit broke everything and who to blame)
- *Slack (where your team gets notified about crashes and argues about whose fault it is)
- *New Relic (for deeper server performance monitoring that Raygun doesn't cover as well)
- *Sentry (the main alternative everyone compares pricing against)
- *DataDog (for infrastructure monitoring while Raygun handles app crashes)
The Catch
- !Setup takes 15-30 minutes of developer time per app, not the "one-click" some marketing suggests
- !You're dependent on their cloud service — no self-hosting option if you're paranoid about data
- !The AI error grouping is great until it groups things wrong and you miss edge cases
Bottom Line
Finally know why your app crashed before your users start tweeting about it.