I built UptimeBuddy after getting frustrated with complex monitors

Hacker News

Hey everyone, I'm a developer who's been burned by unexpected website downtime one too many times. I tried the big-name monitoring tools but found them overwhelming for my small projects. So, I built UptimeBuddy – a dead-simple monitoring tool that does one thing well: it checks your site and alerts you (via SMS/Email) the moment it goes down. No complex dashboards, no credit card required for the basic plan. It's just an MVP right now, but I've put up a landing page to gauge interest. · Landing Page: https://uptimebuddy-contact.vercel.app/ I'd love your honest feedback: 1. Does the landing page clearly explain what it does? 2. Is this a problem you've faced? 3. Would you use something like this? Thanks for looking! Any thoughts are hugely appreciated."

Visit product View on Hacker NewsAug 27, 2025

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

75%75% 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: email, plain · Missing: mac, agents, macos

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

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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% 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 · Missing: mobile apps, ios, personal

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

10%10% 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.

Correct prediction on native model

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