I made simple and cheap log monitoring

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Hello I'm Jack, I was previously a Site Reliability Engineer and i've been working on monitro.dev which makes log monitoring simple for individuals or small teams. It allows you to easily forward any logs to multiple channels such as Slack, Discord & Telegram. The events are also viewable though the admin dashboard and are easily filterable. Currently there is only an NPM package with javascript / typescript support but i have plans to expand this to other languages such as Python, Rust etc. The package has many options, one of them is forwarding any uncaught exception and as an event to monitro so you can be notified of unexpected behaviour. From this post i am mainly looking for feedback and beta testers, but the live site is fully working and ready to start being used! Any questions or concerns feel free to email me: contact@monitro.dev Thanks, Jack!

Visit product View on Hacker NewsJul 25, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, email · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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