The simplest tiny analytics tool – storywise

Hacker News

I've built a little prototype a long while back, to help me keep track of visitors on my website. I didn't like google analytics for obvious privacy reasons, and I didn't like the existing self-hosted options because of how complicated they are. I always wanted a simple, basic tool, similar to plausible, but even simpler. So a few weeks ago I rebuilt my prototype into a reusable tool. And I made it open source. I built a website, a documentation, and I'd be excited for someone else to try it too. Who knows, maybe if enough people like the idea, I might even make it into a SaaS to save non-technical people the hassle of self-hosting. Anyhow, I hope someone likes it.

Visit product View on Hacker NewsJul 18, 2023

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, tiny, open · Missing: mac, agents, macos

88%88% 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 NewsStrong engagement from HN community · Strong signals: excited, exist, open source · Missing: https docs, just released, lua

82%82% 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 · Missing: supports, reddit linkedin, podcasting

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google, way · 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 · Strong signals: saas · 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

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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