Web App Monitoring for Go Developers

Hacker News

Hello HN, Monibot is a service for monitoring server resource usage and website uptime and application metrics, all packaged in one tool. The tool provides more insights than UptimeRobot or Pingdom, and is less complex than Data Dog or New Relic. I've been working on this project because I develop web apps in Go and run them on Linux servers. Monitoring all my apps and servers took more and more time, so I needed an automated solution. Existing tools didn't meet my needs (too complex, too costly, too few insights), so I decided to build Monibot. I invite everybody (especially Golang web developers) to register for free and play around with it. Any kind of feedback would be greatly appreciated. A command line tool written in Go is available, as well as a Go SDK for using Monibot directly from your Go apps: https://github.com/cvilsmeier/moni https://github.com/cvilsmeier/monibot-go

Visit product View on Hacker NewsNov 15, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

78%78% 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: apps, new, using · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, 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

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

38%38% 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

11%11% 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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