The fastest selfhostable analytics and performance monitoring tool

Hacker News

Hi HN, I'm excited to share a selfhosted release of my web analytics tool I've been working on for more than 2 years. The selfhostable Swetrix allows you to monitor your website's traffic & user flow, track the performance data, custom events and much more. It's available on Docker Hub https://hub.docker.com/r/swetrix/swetrix-api and soon will be added to Caprover. Any feedback would be much appreciated!

Visit product View on Hacker NewsMay 19, 2023

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, dock · Missing: mac, agents, macos

72%72% 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.

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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited · Missing: https docs, just released, exist

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, soon · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

44%44% 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

11%11% 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.

Incorrect prediction on native model

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