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Weekend Project - Website Uptime Monitoring Service

Hacker News

Weekend Project - Website Uptime Monitoring Service

A couple of months back, I had come across this promising-looking app on github - a website uptime monitoring service[1] built with Node.js, MongoDB, and Bootstrap, so I had whipped up a DO droplet[2], registered a (free) .tk domain[3] and after a weekend of messing about (mainly via ssh), had created a (stock) working service (and then promptly forgotten about it): http://monitup.tk:8082/dashboard/checks Turned out to be a lot better than I had expected! Now, while there are many such (free and paid) services available out there, I do think one more can't hurt, especially with some more value additions thrown-in, that I have thought about. What do you all think? All comments, ideas, suggestions welcomed. :-) Note: As of now, you can freely add site/s too. [1] https://github.com/fzaninotto/uptime [2] https://www.digitalocean.com/ [3] http://www.freenom.com

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Actual performance

6points
4comments
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
42%42% 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
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
21%21% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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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