AP

API monitoring for solopreneurs and indie hackers

Hacker News

API monitoring for solopreneurs and indie hackers

I built this after one too many 3 AM wake-ups due to API outages. Existing solutions felt overpriced and overcomplicated for my small-scale needs. Key features: Simple, GitHub-inspired dashboard Free tier: 5-minute checks, email alerts, 30-day retention Premium tier: 1-minute checks, SMS alerts, unlimited retention Significantly more affordable than enterprise solutions Tech stack: Next.js frontend, Node.js backend, MongoDB, Stripe for payments. This is my attempt to solve the "sleep vs. downtime" dilemma for fellow indie hackers. I'd appreciate any feedback or feature suggestions. What's your approach to API monitoring for side projects? Are existing solutions meeting your needs?

Visit product View on Hacker NewsSep 10, 2024

Actual performance

5points

2comments

Did not reach leaderboard

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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 HuntUnlikely to reach the leaderboard · Strong signals: stripe, email · Missing: mac, agents, macos

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

33%33% 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

28%28% 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

20%20% 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

16%16% 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.

Correct prediction on native model

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