Self Hosted Google Analytics Alternative – Litlyx

Hacker News

If you're a developer, you've probably spent some time searching for the right analytics tool. We did it too. Most people default to Google Analytics, but it’s not always the perfect fit, especially if you're concerned about setup complexity, privacy, having a constant support (as a small team) or customization. Today we are presenting you Litlyx, an open-source alternative to Google Analytics designed to simplify your life as a developer. Is completely self hostable. We think Litlyx is the freshest analytics solution as 2024/2025 and beyond. Everybody can use it from marketers, product people & developers. Give it a try!

Visit product View on Hacker NewsAug 29, 2024

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Actual performance

8points

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

90%90% 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: io · Missing: https docs, excited, just released

80%80% 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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% 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

14%14% 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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