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Verelo website monitoring

Hacker News

Verelo website monitoring

We've been working on Verelo website monitoring for just over six months now. Our project was created out of frustrations with existing monitoring tools while working in the DevOps team at our past employer. We consider ourselves different to what's out there today for a few reasons: - Our main goal is to provide a monitoring service which can truly help you meet and prove your SLA. This means a few critical enhancements from what's out there today. - We provide sub-minute checks. You can use us to check as regularly as every 5 seconds (for paid accounts, free beta accounts can only do 60 second checks). - Notifications are not an "add-on service". They should be part of the core product offering, and not something that can "run out" because you have not pre-paid far enough (or forgotten to renew). We include notifications free, with the service paid or unpaid. - We're currently working on providing a means of making your SLA known by the application. Put in basic terms, our reports should not require adjustment when you hand them up the chain of management or to a customer. This means we know about your maintenance and release periods, and adjust what we report based on the additional information you provide us. We're allowing a limited number of signups per day right now, so don't delay! We will also be approving additional accounts throughout the days to come, so jump on over and signup for a beta account and we'll work to approve it for you as quickly as possible! http://www.verelo.com

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Actual performance

6points
9comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
72%72% 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.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
44%44% 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
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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · 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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