An
An embeddable log viewer for AWS, Sentry
Hacker NewsAn embeddable log viewer for AWS, Sentry
I built a small tool to solve a debugging pain I hit constantly: switching between Stripe dashboard, AWS CloudWatch, and Sentry just to track one error. So I made an embeddable React log viewer that unifies logs from multiple services. You can drop it directly into your own Next.js/React app (e.g., an admin panel or dev tool) and see everything in one place. What it does Connects to Stripe, AWS CloudWatch, and Sentry (more sources coming)
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Product HuntOn track for Day 1 leaderboard · Strong signals: stripe · Missing: mac, agents, macos75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released48%48% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%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, revenue16%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, crypto5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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