Mo

Monitor your webapp with minimal setup

Hacker News

Monitor your webapp with minimal setup

Hey HN, I'm building a service that monitors your webapp and gives you a definitive signal when something is broken, all with minimal setup. You can check it out at: https://www.catalystmonitor.com/, read the docs at: https://docs.catalystmonitor.com/, or see the dashboard at: https://app.catalystmonitor.com/ You can also see a (very quickly made) demo at: https://www.loom.com/share/5b38a328ded94f93a980f1ba28081329?sid=5afe55d1-0e0a-42a1-b748-1c230eacd430 I've seen how having robust internal monitoring infra maintained by dedicated teams helped developers at large companies. This was something I missed when I later moved to a startup. I was disappointed by how much setup and maintenance was required by existing monitoring products: I constantly fiddled with Splunk queries, pruned Sentry errors, and created New Relic dashbords, all to get weak signals to the only thing I cared about: is my product currently broken or not for users? So I decided to build the tool that I would've wanted. Most people building a product want to maximize effort on actually building their product and minimize effort monitoring it, so I built this service to be easy to set up: you can sign up, integrate it, and get useful signals within a day without worrying about configuration or monitoring new code-paths. The downside to being easy to set up is that it's opinionated, less configurable, and won't be 100% effective for certain use-cases. If you throw errors and use HTTP error codes instead of swallowing errors, you'll get useful monitoring with minimal effort right out of the box. There are currently client libraries for the browser, Node.JS, Express, and React Router, but integration with other JS/TS frameworks shouldn't be hard while integration with other languages is definitely possible. Please let me know if you'd be interested in support for another language or framework. Also, I know it's ironic, but it's still under development, and thus may have bugs. I'd love to know what you think. Either way, may your queries flow and your pagers stay silent.

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Actual performance

5points
11comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, maximize · Missing: supports, reddit linkedin, podcasting
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, code · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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