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IsDown.app – Monitor all your vendor status pages from one location

Hacker News

IsDown.app – Monitor all your vendor status pages from one location

Hi there! I'm the founder of IsDown.app. A bit how it started. Some years ago, when I was on call, I found it hard to keep track of all the different status pages for the services we use, so I started to play around with the idea of aggregating them all into one place. That was the original push to create IsDown. Over the last years, we've started monitoring thousands of status pages and added many features and integrations. We currently support integrations with Slack, Discord, Microsoft Teams, Datadog, Pagerduty, Opsgenie, and more. Companies can send outage/status information to where they are already doing the monitoring. One of our most popular features is users can control which notifications they receive. They can filter notifications by components (when they only care about a specific component/region) or by status (when they only want to be notified about major outages). Since each vendor has its own playbook for releasing status updates, some can create a lot of noise. There's still a lot to improve. I'd love to hear your thoughts and feedback. Thanks!

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Actual performance

6points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
87%87% 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: slack, user · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
50%50% 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 · 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
21%21% 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
18%18% 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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